Cardinals 2026 April in Franchise Historical Context

700 Clark • End-of-April Special • April 30, 2026

April 2026 Snapshot

Record Pythagorean W% Luck Delta Best Comp
18-13 .491 +.090 2001
First month: March 26 – April 30, 31 games. 155 RS / 158 RA (5.00 / 5.10 per game). Historical comps use calendar April.
2026 first month: 18-13 (.581) • 5.00 RS/G • 5.10 RA/G • 3rd in NL Central (2.0 GB) • Pyth says .491 — winning 9 points above expectation

When April Was Just the Beginning

Cold April → Great Season (and vice versa)

Year April Final What Happened
19344-795-58WS Champion — Gashouse Gang, worst April of any WS winner
19858-11101-61NL Champ — 9th in NL in April → pennant
200212-1497-65Div Champ — 10th in NL → division title
199612-1588-74Div Champ — 11th in NL → division title
200412-11105-57NL Champ — 8th in NL → 105 wins
198310-679-83Missed — Hot April → losing season
202618-133rd NL Central, winning above Pythagorean expectation

Showing every Cardinals season where April W% was below .500 and the team made the postseason, plus the sharpest reverse (hot April, losing season). Full 127-season history at bases.chat.

Pythagorean Luck: The Record Behind the Record

Actual vs. Expected April Winning Percentage (1898–2026)

.20 .20 .30 .30 .40 .40 .50 .50 .60 .60 .70 .70 .80 .80 Pythagorean expected W% Actual April W% 1934 1985 1982 2006 1926 1931 1944 1967 1973 1937 1919 2026 WS Champion NL Champion Division Wild Card Missed Above the diagonal = outperformed Pythagorean expectation (lucky). Below = unlucky.
WS Champion NL Champion Division Wild Card Missed 2026 (in progress)

Points below the diagonal = unlucky (won fewer than expected). 1985: 2.2 wins unlucky → 101 wins. 2026: 2.8 wins lucky over 31 games.

Winning Games vs. Winning Series

April Series Record — Select Seasons (1898–2025)

Year Games Series (W-L-S) Game W% Srs W% Delta Story
19318-33-0-1.7271.000+.273WS Champion (101 W)
196813-55-1-2.722.833+.111NL Champ → lost WS
19679-65-2-0.600.714+.114WS Champion
201515-66-0-1.7141.000+.286Didn’t lose a single series
200617-87-1-0.680.875+.195WS Champion
201214-87-1-0.636.875+.239Wild Card → NLCS
200818-116-1-3.621.857+.236Dominated series, missed playoffs
200916-76-1-1.696.857+.161Div Champ
199413-105-1-2.565.833+.268Biggest positive delta
198214-75-3-0.667.625−.042WS Champion
201116-116-3-0.593.667+.074WS Champion
19858-113-4-0.421.429+.008NL Champ → 101 wins
202114-123-5-1.538.375−.163Won games, lost series
19344-71-3-1.364.250−.114Gashouse Gang → WS
19191-60-2-0.143.000−.143Worst April in franchise history
19733-150-6-1.167.000−.167Worst by volume (18 games)
202514-175-5-0.452.500+.048Dead even in series
202618-136-4-0.581.600+.019Winning series at same rate as games

Delta = Series W% − Game W%. Positive = wins concentrated in series (quality indicator). Series = consecutive games vs same opponent at same site. Seasons selected for highest series W%, largest positive/negative deltas, and postseason teams. Full history at bases.chat.

April in the Division

Does Winning the Division in April Matter?

April Div Record Seasons Made Playoffs Playoff Rate
Winning div record171058.8%
Even4250.0%
Losing div record7342.9%

Winning the division in April correlates with a 59% playoff rate — but losing it still yields 43%. The 2004 Cardinals went 3-5 vs. the division in April and won 105 games.

NL Central April Standings — Select Years

Year 1st 2nd 3rd 4th 5th
2019STL .720CHC .583MIL .519PIT .480CIN .407
2015STL .714CHC .600PIT .545CIN .500MIL .227
2006STL .680CIN .680CHC .565MIL .560PIT .269
2022MIL .682STL .550PIT .429CHC .381CIN .143
2024CHC .630MIL .577CIN .519STL .500PIT .370
2025CHC .625MIL .593CIN .519PIT .423STL .407
2023PIT .679MIL .667CHC .500CIN .444STL .357
2026CIN .645CHC .613STL .581MIL .533PIT .500

Years selected to show Cardinals at the top (2019, 2015, 2006), middle (2022, 2024), and bottom (2025, 2023) of the division in April. Cardinals led the NL Central in April in every season they won 95+ games except 2004. Full standings at bases.chat.

127 Aprils at a Glance

Cardinals April W% by Year (1898–2026) — Color-Coded by Season Outcome

.20 .30 .40 .50 .60 .70 .80 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010 2020 Season April W% 1926 1931 1934 1942 1944 1946 1964 1967 1982 2006 2011 1985 1987 1968 WS Champion NL Champion Division Wild Card Missed 2026 (in progress) 2026 1934 Gashouse Gang (.364 April → WS), 1985 (.421 → NL Champ), 2002 (.462 → 97 wins). Cold Aprils that became great seasons.
WS Champion NL Champion Division Wild Card Missed 2026 (in progress)

1934 Gashouse Gang (.364 April → WS), 1985 (.421 → NL Champ), 2002 (.462 → 97 wins). Cold Aprils that became great seasons.

What April Run Differential Predicts

All MLB Teams by April Run Differential Tier (1898–2025)

60 70 80 90 0% 10% 20% 30% 40% 50% Avg season wins Playoff rate % 70.0 77.7 81.8 85.6 2026 STL Negative (≤ −0.5) Slightly negative (−0.5 to 0) Slightly positive (0 to +0.5) Positive (> +0.5) 4.0% 14.0% 20.3% 36.1% Avg season wins (left axis) Playoff rate % (right axis)

2026 Cardinals (−0.10 R/G) land in the “Slightly Negative” tier. 464 team-seasons at this level averaged 77.7 wins with 14.0% playoff rate. 2,710 total team-seasons (1898–2025).

Closest Historical Matches to 2026

Top 5 Most Similar Cardinals Aprils by Performance Profile (1898–2025)

Season April RS/G RA/G Season Result Postseason
202618-135.005.10In progress3rd NL Central
200112-125.175.2193-69 (.574)Wild Card
19808-104.725.0074-88 (.457)
199413-94.865.4153-61 (.465)
19236-74.625.2379-74 (.516)
200212-144.654.8897-65 (.599)Div Champ

Ranked by Euclidean distance on runs scored and runs allowed per game across all 127 Cardinals April seasons (1898–2025). 2026 uses full first month (March 26–April 30, 31 games); historical comps use calendar April. Full comp table at bases.chat.

Best Cardinals Debut Aprils

MLB Debut with Cardinals — Top 10 by OPS (min 40 AB)

# Player Year Age PA AVG OBP SLG OPS HR
1Aledmys Diaz20162575.423.453.7321.1554
2Albert Pujols200121102.370.431.7391.1098
3Jeremy Hazelbaker20162871.317.357.6831.0005
4Wally Moon19542464.353.469.608.9612
5Enos Slaughter19382251.383.431.574.9571
6JJ Wetherholt202623121.247.383.485.8686
7Ray Sanders19422556.294.357.451.7451
8Vince Coleman19852355.300.364.400.7000
9Jordan Walker20232173.279.329.412.6912
10Ken Boyer19552456.245.250.396.6411

Best Cardinals April Batting — All-Time

Top 10 April OPS by a Cardinal (min 40 AB)

# Player Year Age PA AVG HR RBI OPS Context
1Stan Musial19583761.5284101.396Best ever, at 37
2Albert Pujols200626110.34614321.26014 HR in one April
3Rogers Hornsby19242867.4294141.250Peak years
4Mark McGwire20003670.3208201.180Late career
5Jim Edmonds20033384.3915171.159
6Jim Edmonds200030103.3828221.158
7Aledmys Diaz20162575.4234131.155Rookie breakout
8Lance Berkman20113595.3888221.153WS Champion season
9Stan Musial19573646.4762101.143Back-to-back 36-37
10Fernando Tatis Sr.20002587.3756281.139
Iván Herrera202625121.267410.911Best on ’26 club
Jordan Walker202623110.283820.8908 HR, 20 RBI

Musial at 37 and Berkman at 35 had no business being this good. Pujols at 21 (see Debut Aprils above) is the best rookie April in franchise history. Full leaderboard at bases.chat.

Best Cardinals April Pitching — Starters

Top 10 April ERA by a Cardinal Starter (min 15 IP)

# Pitcher Year GS IP ERA K K/9
1Lon Warneke1939218.00.0052.50
2Max Lanier1946327.00.00165.33
3Dizzy Dean1937328.00.32227.07
4Red Ames1917320.20.4493.92
5Mort Cooper1943219.10.4773.26
6Flint Rhem1927218.00.5063.00
7Carlos Martinez2018533.10.54359.45
8Joe Kelly2014315.10.5995.28
9Cy Young1900328.00.64103.21
10Sonny Gray2024423.11.163212.34
Michael McGreevy2026527.13.62165.27

Best Cardinals April Pitching — Relievers

Top 10 April ERA by a Cardinal Reliever (min 9 IP)

# Pitcher Year G IP ERA SV K/9
1Alex Reyes20211212.10.00610.22
2Todd Worrell19921011.00.0009.82
3Ryan Franklin20091010.10.0077.84
4Mike Matthews20011013.00.0007.62
5Lindy McDaniel1960711.20.0034.63
6T.J. Mathews19961217.10.5219.35
7John Brebbia20191315.10.59011.15
8Ryan Helsley20241515.00.601010.20
9Dennis Eckersley19961213.10.68510.13
10Larry McWilliams1988920.10.4413.54
Gordon Graceffo20261216.11.1014.96
Riley O’Brien20261212.01.50711.25

Best Cardinals Debut Aprils — Pitching

MLB Debut with Cardinals — Starters (min 15 IP)

Pitcher Year GS IP ERA K K/9
Rene Arocha1993321.21.66114.57
Donovan Osborne1992421.01.7193.86
Matt Morris1997417.02.65126.35
Vinegar Bend Mizell1952215.13.52105.87

MLB Debut with Cardinals — Relievers (min 9 IP)

Pitcher Year G IP ERA SV K/9
John Urrea1977712.10.0035.11
Andre Pallante2022610.00.9006.30
Jordan Hicks20181113.11.3504.05
Seunghwan Oh20161213.01.38013.15
Kyle McClellan20081215.21.7217.47
Eduardo Sanchez2011710.01.80115.30
The next five sections measure who moved the needle in the first month — and when. WPA (Win Probability Added) captures how each plate appearance shifted a game’s outcome. RE24 strips out context to show raw run production (requires a complete season to calculate; 2026 values not yet available). Clutch isolates the difference: who overperformed specifically in high-stakes moments. The biggest moments table zooms into single at-bats, and the firemen section applies the same lens to relievers. Together they answer: when Cardinals first months were decided by one swing or one inning, who delivered? (2026 WPA/LI/Clutch computed from 2,438 at-bat plays across 31 games, March 26–April 30. Historical rows use calendar April.)

Win Probability Added — Batters

Top 10 April WPA by a Cardinal Batter (min 30 PA)

WPA measures how much each plate appearance shifted the team’s chance of winning. RE24 = runs above average by the 24 base-out states. Clutch = WPA minus context-neutral WPA. RE24 requires a full season of play-by-play data to build the run expectancy matrix; 2026 values are not yet available.

Player Year PA WPA Avg LI RE24 Clutch
Lars Nootbaar202599+1.8261.12-1.2+0.872
Albert Pujols2006107+1.7151.1125.1+0.712
Jim Edmonds200499+1.6380.9811.8+0.856
Albert Pujols2003115+1.5701.0813.0+0.711
Fernando Vina2000117+1.5551.048.3+0.630
Pedro Guerrero1992109+1.5411.3614.5+0.449
Albert Pujols200993+1.5301.1315.4+0.498
Jim Bottomley192893+1.4881.2016.6+0.341
Frankie Frisch1930102+1.4561.0410.0+0.571
Yadier Molina201281+1.4201.2210.4+0.505
JJ Wetherholt2026144+1.2361.10N/A*+1.335

Nootbaar 2025 leads all-time — high WPA but negative RE24 means his value came almost entirely from clutch timing. Pujols appears three times (2003, 2006, 2009). *RE24 requires a complete season of play-by-play data to build the run expectancy matrix; 2026 values will be available after the season.

Wetherholt leads the first month at +1.236 WPA across 144 plate appearances — over a full win added to the team’s bottom line, just outside the franchise’s all-time top 10 for any April. His Clutch score of +1.335 means the bulk of that value came from delivering in high-leverage spots; his context-neutral line is slightly negative (−0.099), meaning his raw production was roughly average but his timing was excellent.

The other notable Clutch number belongs to Masyn Winn at +1.026 across 113 plate appearances. His context-neutral WPA is −0.266 — a below-average hitter by aggregate production who has been considerably better when it mattered. His walk-off single on April 1st, his extra-inning double on April 19th: those moments are the difference between a negative-WPA hitter and the team’s second-most valuable bat.

Win Probability Added — Pitchers

Top 10 April WPA by a Cardinal Pitcher (min 50 BF)

Player Year BF WPA Avg LI RE24
Chris Carpenter2006163+1.8551.06-12.4
Curt Simmons1963139+1.6201.06-12.6
Dave Giusti1969130+1.5541.31-8.2
Ray Washburn1963132+1.5300.84-12.8
Dizzy Dean1937111+1.4921.08-12.8
John Tudor1990105+1.4231.15-10.6
Kyle Lohse2012127+1.4211.14-11.0
Jose DeLeon1989153+1.4170.96-10.3
Bob Gibson1969168+1.3831.05-10.6
Carlos Martinez2018134+1.3271.00-13.1
Gordon Graceffo202662+0.9940.81N/A*

Carpenter 2006 is the WPA king. CMart 2018 had the best RE24 (-13.1 = most runs prevented). Gibson 1969 faced the most batters (168) in April.

Graceffo leads the pitching staff with +0.994 WPA across 62 batters faced, but his story has an interesting twist when you look at leverage. His average LI of 0.81 means he was deployed in lower-leverage situations — the Oli Marmol staff used him when the game wasn’t hanging in the balance, and he was dominant in that role. His context-neutral WPA of +1.156 actually exceeds his game-state WPA, meaning he was even better than his WPA suggests, just in situations that mattered less to the outcome.

O’Brien is the inverse. His 1.60 average LI was the highest on the staff — he was consistently deployed in the tightest spots. His +0.939 WPA across 59 batters faced reflects strong overall performance under pressure, though when you isolate the 27 at-bats with LI above 1.5, he was essentially flat (−0.041). He dominated in medium-leverage situations and held his own in the highest-stakes moments without adding to his total.

Biggest April Moments in Cardinals History

Single Plate Appearances with Highest WPA Swing

Player Year Inn Event WPA LI WE Shift
Red Schoendienst196111th2B+.9161.97.085 → 1.000
Frankie Frisch19329th2B+.8336.53.167 → 1.000
Jimmy Sheckard191310th1B+.8072.77.194 → 1.000
Felix Jose19919thHR+.8064.87.194 → 1.000
Johnny Mize19379th1B+.74510.06.255 → 1.000
Albert Pujols20069thHR+.6935.81.307 → 1.000
Tim McCarver197410th1B+.6482.77.194 → .841
Gerald Perry19919th3B+.6225.81.307 → .929
Julio Gonzalez19829th3B+.5992.84.083 → .682
Reggie Sanders20048th3B+.5637.90.376 → .939

Every single one is a late-inning, trailing moment. Mize’s 1937 single had 10.06 LI — 2 outs, bases loaded, 9th inning. Schoendienst’s 11th-inning double is the highest-WPA April at-bat in franchise history.

April’s Best Firemen

Top 10 High-Leverage Reliever WPA (1969–2025, min 20 BF)

Player Year BF WPA Avg LI Hi-Lev PA Hi-Lev WPA
Edward Mujica201336+1.4852.2120+1.476
Lee Smith199147+1.2921.7918+0.849
Mark Littell197949+1.2901.9429+1.336
John Gant201959+1.2951.3717+0.910
Joe Hoerner196928+1.1731.6812+0.940
Ryan Franklin200937+1.1281.5017+0.981
Todd Worrell199239+1.0991.4619+0.918
Lee Smith199242+1.0482.6634+0.810
T.J. Mathews199668+1.0571.6827+0.686
Kyle Leahy202560+1.0231.2114+0.464
Riley O’Brien202659+0.9391.6027−0.041

Mujica 2013: 2.21 avg LI means nearly every appearance was high-leverage. Lee Smith 1992 had the highest avg LI (2.66) — used almost exclusively in the biggest spots. 2026 O’Brien: all values computed from unified 31-game normalization (2,438 plays).

O’Brien’s presence on the firemen table tells a story about deployment. His overall first-month WPA of +0.939 is excellent and his 1.60 average LI is the highest on the staff — he was the go-to arm in tight games. When you isolate the 27 batters he faced with LI above 1.5, he was essentially flat (−0.041). That’s not a knock; holding even in the highest-leverage spots while accumulating heavy positive WPA everywhere else is a valuable profile. Volume of exposure matters: 27 high-leverage plate appearances in a single month is a heavy workload, and he didn’t crack.

April Clutch Leaders

Top 10 Clutch Score (1910–2025, min 40 PA)

Clutch = WPA − (WPA ÷ LI). Measures how much a hitter overperformed in high-leverage spots beyond what their overall production would predict.

# Player Year PA WPA Avg LI RE24 Clutch
1Joe Thurston200962+0.6810.972.1+2.244
2Ken Boyer196458+0.0381.155.7+1.975
3Justin Williams202176-0.3500.85-0.8+1.950
4Red Schoendienst195257-0.0131.102.4+1.866
5Paul Goldschmidt2019114-0.1010.965.1+1.853
6Miller Huggins191259-0.0791.101.2+1.845
7Albert Pujols2007105-1.1551.145.8+1.547
8Tino Martinez2002101-0.0631.10-5.1+1.480
9Edgar Renteria2003115+0.2890.999.8+1.376
10Albert Pujols2001102-0.6320.9412.3+1.295
Masyn Winn2026113+0.7601.00N/A*+1.026

Ken Boyer’s 1964 WS-champion April is the franchise clutch king. Miller Huggins (1912) and Red Schoendienst (1952) prove the metric works across eras. Pujols still appears twice. Williams 2021: negative WPA overall but huge clutch — awful in low-leverage, came through when it mattered.

Masyn Winn’s +1.026 Clutch score across 113 plate appearances is among the highest on the roster. What makes it notable is where the value comes from: his context-neutral WPA is −0.266, meaning that if you stripped away the game state and just measured his hitting, he was below average. But when you weight by leverage — when it mattered — he was the team’s second-most valuable bat.

The question for May: is Winn a clutch performer, or did the first month’s close games happen to align with his best swings? Clutch as a skill is one of the most debated concepts in baseball analytics. The research says it’s mostly timing — but the Cardinals’ 6-2 record in one-run games wouldn’t exist without it.

Home-Road Splits

April Home vs. Road Winning Percentage — Notable Splits (1898–2025)

Year Home Home W% Road Road W% Gap Outcome
19607-1.8750-5.000+.875Missed
19124-1.8001-7.125+.675Missed
19857-3.7001-8.111+.589NL Champ
19413-3.5007-01.000-.500Missed
19691-8.1118-4.667-.556Missed
20045-9.3577-2.778-.421NL Champ
19689-1.9004-4.500+.400WS Champ
20257-4.6364-12.250+.386Missed
200612-4.7505-4.556+.194WS Champ
20116-5.54510-5.667-.122WS Champ
20267-8.46711-5.688-.221In progress

Seasons selected for the largest home-road W% gaps (positive and negative) plus postseason teams with extreme splits. 1960: .875 home, .000 road — the biggest split in franchise April history. 1941: 7-0 on the road, the only perfect April road record. All 127 seasons at bases.chat.

One-Run Games — Signal or Noise?

April One-Run Record vs. Non-Close Games — Select Seasons (1898–2025)

Year 1-Run W 1-Run L 1-Run W% Non-1R W% Total Outcome
193404.000.5714-7WS Champ
193004.000.6006-8Missed
197306.000.2503-15Missed
200317.125.68812-12NL Champ
193651.833.2006-5Missed
201135.375.72216-10WS Champ
201214.200.76514-8NL Champ
1946401.000.5569-4WS Champ
198262.750.61514-7WS Champ
201951.833.68418-7NL Champ
198525.286.5008-11NL Champ
202524.333.42911-16Missed
202662.750.52218-13In progress

Seasons selected for extreme one-run W% (very high or very low) and the biggest gaps between one-run and non-close W%. 1934 Gashouse Gang: 0-4 in one-run games → won the World Series. One-run record is classic noise. All 127 seasons at bases.chat.

Setting the Tone: First-Inning Scoring

How Often the Cardinals Led After the First Inning in April (Select Seasons, 1910–2025)

Year Games STL Leading Tied STL Trailing Avg Lead Avg Deficit
20022611 (42%)141 (4%)1.82-1.00
2007249 (38%)141 (4%)1.78-1.00
1973188 (44%)91 (6%)2.13-1.00
20042310 (43%)76 (26%)1.30-1.83
20012411 (46%)76 (25%)1.55-1.50
194883 (38%)50 (0%)
2025277 (26%)164 (15%)2.00-1.50
2008292 (7%)189 (31%)1.00-2.00
2000254 (16%)813 (52%)2.00-2.38
2006254 (16%)1011 (44%)2.25-1.64
2023284 (14%)159 (32%)1.75-1.78
2026315 (16%)215 (16%)1.60-1.80

Seasons selected for the best and worst “led after 1st / trailed after 1st” ratios. 2002 and 2007: led 10+ times, trailed just once each. 1948: never trailed. 2008: led after the 1st in only 2 of 29 games. Play-by-play data from 1910. All 116 seasons at bases.chat.

Tonight: STL vs LAD, Game 1 of 3 -- Busch Stadium -- 7:15 PM CT

NL CENTRAL STANDINGS

TeamW-LGBStrk
Reds20-11-W1
Cubs19-121.0W2
Cardinals18-132.0W4
Brewers16-143.5W1
Pirates16-164.5L5

NL WEST STANDINGS

TeamW-LGBStrk
Dodgers20-11-L2
Padres19-110.5L2
D-backs16-143.5L1
Rockies14-186.5L1
Giants13-187.0L3

RECENT RESULTS (LAST 10)

DateOppH/AResult
Apr 30PITAwayW 10-5
Apr 29PITAwayW 5-4
Apr 28PITAwayW 11-7
Apr 27PITAwayW 4-2
Apr 26SEAHomeL 2-3
Apr 25SEAHomeL 9-11
Apr 24SEAHomeL 2-3
Apr 22MIAAwayL 1-4
Apr 21MIAAwayW 5-3
Apr 20MIAAwayL 3-5

STARTING PITCHERS

Matthew Liberatore (L, STL)

2026 to date: 0-1, 4.75 ERA, 30.1 IP, 19 K, 11 BB, 8 HR, 1.55 WHIP across 6 starts -- 14.1% K%, 8.1% BB%, 42.0% GB%. The K-rate is well below his career line (18.8% on 151.2 IP), and the 8 HR allowed in 30.1 IP is the structural concern. 2025 baseline platoon: vs RHB .265 / .304 / .426 (.691 OPS, 515 PA), vs LHB .274 / .348 / .410 (.684 OPS, 133 PA) -- minimal platoon spread. 2025 home/away nearly even (3.69 home / 4.03 away).

Emmet Sheehan (R, LAD)

2026 to date: 2-0, 4.78 ERA, 26.1 IP, 28 K, 9 BB, 4 HR, 1.25 WHIP across 5 starts -- 25.5% K%, 8.2% BB%, 50.0% GB%. The K-rate is the carry skill. 2025 baseline platoon: vs LHB .180 / .289 / .333 (.513 OPS, 128 PA), vs RHB .225 / .267 / .348 (.573 OPS, 202 PA) -- both sides suppressed, slight reverse-platoon at OPS. 2025 home/away is the lopsided split: home 2.08 ERA / 47.2 IP / 57 K; away 4.64 ERA / 33.0 IP / 38 K. Today is at Busch -- the away (worse) context for Sheehan.

EXPECTED LINEUPS

Cardinals (Projected from 2026-04-30)

#PlayerPosBats2026 RISP AVG2026 RISP OPS
1Wetherholt2BL.273.764
2HerreraCR.250.805
3Burleson1BL.366.998
4WalkerRFR.237.743
5Urías3BR.000.154
6WinnSSR.222.572
7PozoDHR.222.555
8SaggeseLFR.176.457
9ScottCFL.111.338

Handedness: 6 RHB (Herrera, Walker, Urías, Winn, Pozo, Saggese), 3 LHB (Wetherholt, Burleson, Scott).

Dodgers (From active roster)

12 players listed from active roster pool. Actual game lineup will be 9 from this group.

PlayerPosBats
CallLFR
Freeland2BS
PagesCFR
RushingCL
Freeman1BL
KimSSL
TuckerRFL
Muncy3BL
RojasSSR
Espinal3BR
HernándezLFR
SmithCR

Handedness: 6 RHB (Call, Pages, Rojas, Espinal, Hernández, Smith), 5 LHB (Rushing, Freeman, Kim, Tucker, Muncy).

INJURIES & ROSTER NOTES

No Phase 2 injury web search performed for this run. JSON does not carry an injury list.

2A: BVP -- CARDINALS BATTERS VS OPPONENT STARTER

PlayerPAABHAVGOBPSLGHRBBK
Ivan Herrera330.000.000.000003
Yohel Pozo220.000.000.000000
Masyn Winn220.000.000.000001
Alec Burleson220.000.000.000001
Ramon Urias221.500.5001.000000
Jordan Walker220.000.000.000000

Small sample: Ivan Herrera (3 PA), Yohel Pozo (2 PA), Masyn Winn (2 PA), Alec Burleson (2 PA), Ramon Urias (2 PA), Jordan Walker (2 PA).

No Cardinals starter has more than 3 PA against Sheehan. Every line is small-sample. Herrera (0-for-3, 3 K) and Burleson (0-for-2) are the only rows with strikeouts; Urias is 1-for-2 with a double-equivalent SLG, but two-PA samples carry no signal. Wetherholt, Scott, and Saggese -- No data. The matchup turns on platoon, TTO, and Sheehan's 2025 home/away split, not on BvP history.

Bench note: No bench BvP rows beyond the projected starters appear in the JSON.

2B: BVP -- OPPONENT BATTERS VS CARDINALS STARTER

PlayerPAABHAVGOBPSLGHRBBK
Santiago Espinal661.167.167.167000
Kyle Tucker661.167.167.167000
Freddie Freeman654.800.833.800000
Will Smith542.500.600.500011
Teoscar Hernandez440.000.000.000002
Miguel Rojas330.000.000.000000
Andy Pages221.500.500.500000
Alex Freeland220.000.000.000000
Alex Call221.500.5001.000000

Small sample: Santiago Espinal (6 PA), Kyle Tucker (6 PA), Freddie Freeman (6 PA), Will Smith (5 PA), Teoscar Hernandez (4 PA), Miguel Rojas (3 PA), Andy Pages (2 PA), Alex Freeland (2 PA), Alex Call (2 PA).

BvP danger -- Freeman vs Liberatore. 6 PA, 5 AB, 4 H, 0 HR, 0 BB, 0 K -- .800 / .833 / .800. Below the formal 10-PA / .400 threshold, but the lone real career sample in the Dodgers lineup against Liberatore. Smith (.500 in 5 PA) is the second-highest line, also below threshold. Every other Dodgers row is at 6 PA or fewer.

Freeman is the lead. 4-for-5 with 0 K is the kind of look that historically translates to a present-day approach edge -- the swing decisions are baked in. Smith at 2-for-4 with a walk in 5 PA is the secondary note. Tucker, Espinal, Hernandez, Rojas, Freeland are all 0-for or below the Mendoza in their few PA but at sample sizes that don't predict tonight. Pages 1-for-2 and Call 1-for-2 are decoration.

Bench note: No additional opponent BvP samples in the JSON beyond the rows above.

2C: PLATOON SPLITS -- CARDINALS

PlayerPAAVGOBPSLGHRBBK
Alec Burleson L419.296.353.478153259
Masyn Winn R374.251.309.36872371
Victor Scott L332.221.310.31753175
Ivan Herrera R328.268.343.399102466
Jordan Walker R289.200.263.29142194
Ramon Urias R273.233.278.36771757
Thomas Saggese R227.254.305.34011563
Yohel Pozo R126.217.254.3584616

Sheehan is right-handed, so this is the Cardinals' 2025 vs-RHP profile. Burleson (.296 / .353 / .478, 419 PA) is again the only bat with a clean RHP line at volume; Herrera (.268 / .343 / .399, 328 PA) is the second-best vs-RHP option. The structural soft spot is Walker -- .200 / .263 / .291 in 289 PA with a 32.5%-equivalent K rate (94 K), which lines up cleanly with Sheehan's 2025 25.5%-2026 K%. Sheehan vs RHB suppresses to .225 / .267 / .348 (.573 OPS), so the right-handed bulk of the order (6 of 9) is heading into the harder side.

2C: PLATOON SPLITS -- OPPONENT

PlayerPAAVGOBPSLGHRBBK
Kyle Tucker L208.272.367.46792532
Freddie Freeman L206.283.345.50391650
Andy Pages R167.287.317.3943637
Teoscar Hernandez R148.255.291.4617627
Miguel Rojas R142.289.355.50061317
Will Smith R129.252.380.42142132
Alex Call R128.306.360.45941022
Santiago Espinal R126.265.317.3420911
Max Muncy R44.200.273.2751414
Dalton Rushing L41.171.244.1710315
Hyeseong Kim L21.381.381.571108
Alex Freeland B16.143.250.143028

Liberatore is left-handed, so this is the Dodgers' 2025 vs-LHP profile. Freeman (.283 / .345 / .503, 206 PA, 9 HR) is the best LHB-vs-LHP line in the lineup -- a meaningful note since most LHBs lose ground against LHP. Tucker (.272 / .367 / .467, 208 PA, 9 HR) is the comparable other-side LHB. On the right-handed side, Call (.306 / .360 / .459 in 128 PA), Rojas (.289, 142 PA, 6 HR), and Pages (.287, 167 PA) all hit LHP at quality lines. Liberatore vs LHB allowed .274 / .348 / .410 (.684 OPS) in 2025 -- the lefties on this Dodgers roster are not a hand-side advantage for him.

2D: PITCHER PLATOON SPLITS

PitchervsPAAVGOBPSLGOPSHRK
Matthew Liberatorevs RHB515.265.304.426.6911693
Matthew Liberatorevs LHB133.274.348.410.684329
Emmet Sheehanvs LHB128.180.289.333.513338
Emmet Sheehanvs RHB202.225.267.348.573457

Liberatore's 2025 platoon split is essentially flat: vs RHB .691 OPS, vs LHB .684 OPS. He does not get the typical reverse-LHP advantage and walks LHB at a higher rate (.348 OBP vs LHB vs .304 vs RHB). The Dodgers' 5 LHB / 6 RHB roster mix is therefore neutral against him -- there is no exploitable hand-side seam. Sheehan is the inverse story: vs LHB .513 OPS (.180 / .289 / .333) and vs RHB .573 OPS (.225 / .267 / .348). The Cardinals' 6-RHB / 3-LHB lineup leans into the slightly-less-suppressed RHB side, but both lines are well below average regardless.

2D-HA: PITCHER HOME/AWAY SPLITS

PitcherSplitBFIPERAKBBHR
Matthew LiberatoreAway33476.04.03592611
Matthew LiberatoreHome31475.23.6963148
Emmet SheehanAway14333.04.6438155
Emmet SheehanHome18747.22.0857122

Tonight's game is at Busch -- Liberatore at home, Sheehan on the road. Sheehan's home/away split in 2025 is the loudest line on either staff: 2.08 ERA at home (47.2 IP, 57 K, 2 HR) vs 4.64 ERA away (33.0 IP, 38 K, 5 HR). The HR rate doubles on the road. Liberatore's split is small (3.69 home / 4.03 away, ~30 IP each) -- venue does not move him much. The structural read is that the Cardinals are catching Sheehan in the worse half of his split.

2E: TTO SPLITS (TIMES THROUGH ORDER)

PitcherTTOPAAVGSLGOPSHRKBB
Matthew LiberatoreTTO1264.237.376.61385615
Matthew LiberatoreTTO2252.310.511.82194017
Matthew LiberatoreTTO3132.244.353.5972268
Emmet SheehanTTO1168.242.373.61534512
Emmet SheehanTTO2119.196.346.54233610
Emmet SheehanTTO343.105.211.3161145

Liberatore's 2025 TTO arc is the cliff-and-recovery shape: TTO1 .237 / .376 / .613 (264 PA), TTO2 .310 / .511 / .821 (252 PA -- the cliff), TTO3 .244 / .353 / .597 (132 PA -- a recovery, but partly because he rarely sees a third pass). The window of damage is innings 4-6. Today the Dodgers' top of the order would reach TTO2 in those frames; that is where the score is likely to move.

Sheehan is the inverse: TTO1 .242 / .373 / .615 (168 PA) is the rockiest pass, TTO2 .196 / .346 / .542 (119 PA) tightens, TTO3 .105 / .211 / .316 (43 PA) is dominant on a small sample. He gets stronger as the game progresses. The Cardinals' chance is the first three innings -- the first pass through the order is the highest-OPS window against him.

2F: INHERITED RUNNERS PROFILE

RelieverIRScoredStrand%
Kyle Leahy291162.1%
JoJo Romero26388.5%
Matt Svanson261350.0%
Gordon Graceffo11554.5%
Riley O'Brien10370.0%
Michael McGreevy30100.0%

League-average strand rate is roughly 68-72%. Romero (88.5% on 26 IR) is the high-leverage choice on an inherited-runner moment. Svanson (50.0% on 26 IR) and Graceffo (54.5% on 11 IR) are the low-strand arms to avoid in those spots. Leahy (62.1%) is the soft middle. With Liberatore's TTO2 cliff sitting in innings 4-6 against a .283-.287 LHB-vs-LHP top of the order (Freeman, plus the RHB Pages and Call), the bullpen choice in the middle innings is a real fork.

2G: BATTED BALL MATCHUP

Pitcher Batted Ball Profiles (Career)

PitcherBIPGB%FB%LD%
Matthew Liberatore46339.1%31.3%27.6%
Emmet Sheehan19935.2%35.7%28.6%

Hitter Batted Ball Results (Career) -- LAD

HitterGB AVGLD AVGFB AVG
Alex Call.235.684.141
Santiago Espinal.306.500.048
Alex Freeland.353.600.111
Freddie Freeman.279.667.119
Teoscar Hernandez.222.649.087
Hyeseong Kim.351.586.250
Max Muncy.190.586.143
Andy Pages.258.592.096
Miguel Rojas.239.597.069
Dalton Rushing.267.600.167
Will Smith.362.688.100
Kyle Tucker.185.628.122

Liberatore's career batted-ball profile is the second-most fly-ball-leaning configuration of any starter the Cardinals have rolled out this stretch (39.1% GB, 31.3% FB, 27.6% LD on 463 BIP), and he has already allowed 8 HR in 30.1 IP this year. The career LD-AVG numbers in the Dodgers room are uniformly elevated -- Smith .688, Call .684, Freeman .667, Tucker .628 -- so the path of damage is clear: line drives, with the long ball tail. Sheehan's career mix (35.2% GB, 35.7% FB, 28.6% LD on 199 BIP) is balanced; against the Cardinals lineup, Herrera's career 52.6% GB rate (in 2M) is the highest in the room and the one most likely to put a ball on the ground.

2H: BATTERY PAIRING

CatcherGIPERAAVGOBPSLG
Pedro Pagés1575.23.93.279----
Yohel Pozo1263.24.10.259----
Jimmy Crooks211.02.45.225----

Tonight's projected catcher per the lineup is Ivan Herrera (2-hole), who does not appear in the Liberatore battery table -- the listed pairings are Pedro Pagés (75.2 IP, 3.93 ERA), Yohel Pozo (63.2 IP, 4.10 ERA), and Jimmy Crooks (11.0 IP, 2.45 ERA). With Pagés currently absent from the lineup pool and Pozo slotted at DH, the Liberatore-Herrera battery is the de facto starting combo and is not summarized in the table. Treat the table as historical context, not a tonight-specific read.

2I: BASERUNNING MATCHUP

Kyle Tucker -- 25 SB, 3 CS, 89.3% success rate. The premier active runner in the Dodgers room; reaches against Liberatore and the steal threat is on every pitch. Liberatore is left-handed, so the pickoff move is the structural counter -- but Tucker's success rate is high enough that the threat doesn't go away.

Andy Pages -- 14 SB, 7 CS, 66.7%. Modest success rate, but volume is real.

Hyeseong Kim -- 13 SB, 1 CS, 92.9%. Highest success rate on the roster; speed is the carry skill.

Freddie Freeman -- 6 SB, 2 CS, 75.0%. Modest but live.

Miguel Rojas -- 5 SB, 0 CS, 100%. Small-volume but perfect.

Teoscar Hernandez -- 5 SB, 2 CS, 71.4%. Occasional runner.

Santiago Espinal -- 2 SB, 1 CS, 66.7%. Negligible.

Alex Call -- 2 SB, 1 CS, 66.7%. Negligible.

Tucker and Kim are the names to anticipate. Herrera behind the plate plus the LHP Liberatore is a partial counter to the Tucker threat -- but a 89% career rate is loud regardless.

2J: DEFENSIVE CONTEXT

PlayerPOSGDPEFld%
Victor ScottCF136360.982
Masyn WinnSS1296430.994
Jordan WalkerRF108240.981
Ramon Urias3B782040.979
Alec Burleson1B502740.990
Yohel PozoC46050.982
Alec BurlesonLF41001.000
Thomas Saggese2B352440.973
Alec BurlesonRF34110.983
Thomas SaggeseSS33710.988
Ramon Urias2B26701.000
Thomas Saggese3B18020.939
Ivan HerreraC14010.989
Victor ScottRF7001.000
Yohel Pozo1B6201.000
Victor ScottLF4001.000
Ivan HerreraLF4001.000
Ramon Urias1B3001.000
Alec BurlesonP100--

Tonight's defensive alignment per the Cardinals lineup: Wetherholt 2B (no fielding sample in the table), Herrera C, Burleson 1B, Walker RF, Urias 3B, Winn SS, Saggese LF, Scott CF. Winn at SS (.994 fielding pct, 64 DP in 129 G) and Burleson at 1B (.990 in 50 G) anchor the infield. Wetherholt is starting at 2B; the 2B fielding samples in the table belong to Saggese (.973 in 35 G) and Urias (1.000 in 26 G), not to tonight's starter at the position. The skeleton fielding table is reference material; the lineup card is authoritative.

2K: BALLPARK CONTEXT & HEAD-TO-HEAD

Busch Stadium plays as a slightly pitcher-leaning venue historically -- a qualitative read; no numeric park factor in the JSON. Recent head-to-head record by season: 2025 STL 4-2, 2024 STL 2-5, 2023 STL 3-4, 2022 STL 2-4. The 2025 line is the only winning split in the four-year window.

2L: BATTER K%/BB% PROFILE

Cardinals

PlayerPAKK%BBBB%
Alec Burleson5447914.5%397.2%
Masyn Winn53710219.0%346.3%
Victor Scott46311124.0%429.1%
Ivan Herrera4508418.7%439.6%
Jordan Walker39612631.8%297.3%
Ramon Urias3918822.5%276.9%
Thomas Saggese2958328.1%165.4%
Yohel Pozo1682213.1%74.2%

Sheehan's 2025 K-rate against RHB (28.2%-equivalent on 57 K / 202 PA) and 2026 K% (25.5%) line up against a Cardinals bat group where Walker (31.8%), Saggese (28.1%), and Scott (24.0%) are the strikeout exposures. Burleson (14.5% 2025 K%) and Pozo (13.1%) are the contact bats; if anyone is going to tag Sheehan in the first pass, those are the names.

Dodgers

PlayerPAKK%BBBB%
Freddie Freeman62712820.4%609.6%
Andy Pages62413521.6%294.6%
Kyle Tucker5958814.8%8714.6%
Teoscar Hernandez54513424.6%264.8%
Will Smith4368920.4%6414.7%
Santiago Espinal3283811.6%216.4%
Alex Call3225517.1%3611.2%
Miguel Rojas3174614.5%247.6%
Max Muncy2206830.9%104.5%
Hyeseong Kim1705230.6%74.1%
Dalton Rushing1555837.4%106.5%
Alex Freeland973536.1%1111.3%

Tucker (14.6% 2025 BB%) and Smith (14.7%) are the patient bats Liberatore must respect; combined with his 2025 vs-LHB .348 OBP, walks are a real path to base for the Dodgers. Espinal (11.6% K%, 6.4% BB%) is the toughest contact out. The strikeout exposure clusters in the bench/depth pieces -- Rushing 37.4%, Freeland 36.1%, Muncy 30.9%, Kim 30.6% -- but Liberatore's 14.1% 2026 K% / 18.8% career K% is not the strikeout profile to capitalize on those rates.

2M: BATTER BATTED BALL PROFILE

Cardinals

PlayerBIPGB%FB%LD%
Alec Burleson39842.0%33.4%24.6%
Masyn Winn37639.6%34.0%26.3%
Ivan Herrera28552.6%21.8%25.6%
Victor Scott25940.2%32.0%27.8%
Ramon Urias25345.1%29.2%25.7%
Jordan Walker23148.9%29.4%21.6%
Thomas Saggese18941.8%29.6%28.6%
Yohel Pozo13340.6%33.1%26.3%

Sheehan's 2026 GB% (50.0%) leans heavier than his career profile (35.2%) and stacks well against Herrera's 52.6% career GB rate -- the catcher's at-bats are the most plausible double-play sources. Burleson (42.0% career GB) and Pozo (40.6%) are the closest-to-balanced profiles in this lineup.

Dodgers

PlayerBIPGB%FB%LD%
Andy Pages45938.8%34.0%27.2%
Freddie Freeman45543.3%29.7%27.0%
Kyle Tucker41236.7%35.9%27.4%
Teoscar Hernandez39650.0%26.3%23.7%
Will Smith29535.6%37.3%27.1%
Santiago Espinal25942.9%32.4%24.7%
Miguel Rojas24745.7%29.1%25.1%
Alex Call21944.7%29.2%26.0%
Max Muncy12749.6%27.6%22.8%
Hyeseong Kim10653.8%18.9%27.4%
Dalton Rushing8037.5%37.5%25.0%
Alex Freeland4537.8%40.0%22.2%

Liberatore's 31.3% career FB% and 8 HR allowed in 30.1 IP this year run into a Dodgers room with three FB-leaning bats: Smith 37.3%, Tucker 35.9%, Pages 34.0%. Tucker (.122 career FB AVG, 9 HR vs LHP in 2025) and Smith (.100 FB AVG, 4 HR vs LHP in 2025) are the launch-angle threats. Freeman's profile is balanced (43.3% GB, 29.7% FB, 27.0% LD) -- the line drives are the path of damage given his .667 career LD AVG and 4-for-5 BvP line. Hernandez's 50.0% career GB and Kim's 53.8% are ground-ball sources that benefit Liberatore if his sinker is on.

2N: PITCHER K%/BB% PROFILE

PitcherIPKK%BBBB%K/BB
Matthew Liberatore151.212218.8%406.2%3.05
Emmet Sheehan73.18930.6%227.6%4.05

Liberatore's 2026 to date: 0-1, 4.75 ERA, 19 K, 11 BB in 30.1 IP -- 14.1% K%, 8.1% BB%. Career baseline (151.2 IP): 18.8% K%, 6.2% BB%, 3.05 K/BB. The 2026 K-rate has dropped meaningfully from the career line, and the BB-rate is up; the 8 HR in 30.1 IP is the structural risk. Sheehan's 2026 to date: 2-0, 4.78 ERA, 28 K, 9 BB in 26.1 IP -- 25.5% K%, 8.2% BB%. Career baseline (73.1 IP): 30.6% K%, 7.6% BB%, 4.05 K/BB. The K-rate gap (Sheehan's 25.5%-2026 / 30.6%-career vs Liberatore's 14.1%-2026 / 18.8%-career) is the structural mismatch of this game; the offset is Sheehan's road ERA and Liberatore's HR rate.

KEY MATCHUPS & WATCHLIST

Freeman vs Liberatore (career BvP). 6 PA, 5 AB, 4 H, 0 HR, 0 BB, 0 K -- .800 / .833 / .800. Below the formal 10-PA / .400 BvP-danger threshold, but the only real career sample in the Dodgers lineup against Liberatore. Pairs with Freeman's 2025 vs-LHP profile (.283 / .345 / .503, 9 HR in 206 PA). The lead matchup of the night.

Walker vs Sheehan (platoon + K-rate). 2 PA career line is empty signal. The real read is Walker's 2025 vs-RHP line (.200 / .263 / .291, 31.8% K%) running into Sheehan's 2026 25.5% K% / career 30.6%. The 4-spot is the rough at-bat tonight.

Burleson vs Sheehan (lone Cardinals contact bat). 14.5% K% career, .296 / .353 / .478 vs RHP in 2025. Even on Sheehan's home line (where he's been dominant), Burleson's contact profile is the one swing the Cardinals trust against an above-average K-rate righty.

Tucker on the bases. 89.3% career SB success rate. Liberatore is left-handed, which is the structural counter to a left-handed runner -- pickoff move plays better than a slide step. But Tucker's volume (25 SB / 3 CS) is loud enough that the threat is live the moment he reaches first.

Sheehan home/away split. 2.08 ERA at home, 4.64 ERA away (2025). Today is at Busch -- the away half. The HR rate doubles on the road. If Sheehan is going to be hit, it's the early innings here, not the third pass through the order where he tightens.

Liberatore TTO2 cliff. 2025 second pass: .310 / .511 / .821 in 252 PA. Innings 4-6 are where Freeman and the Dodgers' top of the order would reach TTO2; the bullpen choice (Romero 88.5% strand vs Svanson 50.0%) shapes whether the score moves there.

QUICK REFERENCE -- IN-GAME QUERIES

1. How has Freddie Freeman performed against Matthew Liberatore in their career?

2. How has Emmet Sheehan fared against Jordan Walker in their career?

3. What are Matthew Liberatore's second-time-through-the-order splits in 2025?

4. What are Emmet Sheehan's home/away splits in 2025?

5. What is Kyle Tucker's stolen-base rate in 2025?

6. How often does JoJo Romero strand inherited runners in 2025?

7. What is the home run park factor at Busch Stadium in 2025?

700 CLARK -- POWERED BY BASES.CHAT | HISTORICAL DATA THROUGH 2025