Leaders

Season-to-date · 454 games played · batting min 34 PA · pitching min 33 outs

Batting · Headline

PAVG Top 10
1 Eriq Carmona LM 0.722
2 Roberto Villanueva FCW 0.706
3 Jean Polanco PPS 0.689
4 Jimmy Abajian RE 0.657
5 Dennis McMichael PPS 0.651
6 Keito Kaneko YBC 0.647
7 Arnav Khanna GS 0.635
8 Vladimir Soto KH 0.634
9 Rómulo Ortega SDC 0.632
10 Takao Tanaka SK 0.630

Batting · Power & Counting

FO% Top 10
1 Robert Cordes SPL 0.167
2 Paul Bravo PDR 0.147
3 Iván Sosa SPL 0.147
4 Chanderpaul Bhagwan RE 0.143
5 Bayo Ceesay OH 0.143
6 Zakaria Thiam PC 0.135
7 Pramod Boettcher PPS 0.122
8 Sang-min Baek SCJ 0.118
9 Laros Cruz CBC 0.118
10 Don Wild SDC 0.118

Batting · O27-Native & Value

2C-Conv% Top 10
1 Keito Kaneko YBC 1.000
2 Glen Bardsley BIC 1.000
3 Oribe Franklin PDR 1.000
4 Leroy Mace PDR 1.000
5 Harris Nunez PDR 1.000
6 Bud Behrens PDR 1.000
7 Kirill Elgin LP 1.000
8 Hank Beach MCB 1.000
9 Pramod Boettcher PPS 1.000
10 Kevin Arboleda PPS 1.000
DRS Top 10
1 Leo Yani PPS +0.7
2 Reuben Deal TBC +0.4
3 Mujeeb Hassan GS +0.4
4 Don Wild SDC +0.4
5 Sacha Akpeyi SPD +0.3
6 Wuilker Huenteo KH +0.3
7 Choon Chua GS +0.2
8 Ben Davidson SDC +0.2
9 Kuron Pitchford CF +0.2
10 Petter Maanum OB +0.2

Batting · Runner Advancement

2B% Top 10
1 Kawika McGruder SDC 0.909
2 Falgun Chavan GS 0.889
3 Oribe Franklin PDR 0.875
4 Sukhwinder Bedi HCC 0.846
5 Maurizio Cernoia BNS 0.833
6 Bud Behrens PDR 0.824
7 Roland McBroom CGT 0.818
8 Jimmy Abajian RE 0.818
9 Hank Beach MCB 0.800
10 Yadier Solano MCP 0.778
3B% Top 10
1 Sandy Riddick LRC 0.833
2 Tony Feliz MCP 0.769
3 Jonathan Rossides SL 0.750
4 Bayo Ceesay OH 0.727
5 Naga Murthy HCC 0.727
6 Stephen Bedi KTH 0.714
7 Kallen Langlois MCP 0.714
8 Quentin Naeve HM 0.714
9 Rómulo Ortega SDC 0.696
10 Surprise Sithole SPD 0.692
All% Top 10
1 Maurizio Cernoia BNS 0.744
2 Oribe Franklin PDR 0.739
3 Quentin Naeve HM 0.733
4 Sukhwinder Bedi HCC 0.732
5 Rómulo Ortega SDC 0.731
6 Henk Pérez OB 0.719
7 Bud Behrens PDR 0.717
8 Harris Nunez PDR 0.714
9 Yasufumi Aoki QBS 0.712
10 Tony Feliz MCP 0.705

Batting · Clutch (RISP)

Performance with runners in scoring position (a runner on 2B and/or 3B at the PA's start). PA-denominated like the headline rates. The recorded-outcome companion to the engine's RISP-pressure model — how well a bat actually cashes runners in. Qualified hitters only (min PA).

Batting · Small Ball

Bunting production. SH = successful sacrifices; Bunt H = bunt singles (drag / beaten-out, a subset of hits); Squeeze RBI = runs driven home from third on a squeeze.

Batting · MLB-Equivalent Rates (XO Crossover)

O27 rate stats z-anchored to MLB league mean and spread, so the numbers read like MLB stats. Rank order is identical to the Native cards above — only the numbers translate. Always shown; the toggle at the top affects the Native cards only.
AVG XO Top 10
1 Rómulo Ortega SDC 0.828
2 Eriq Carmona LM 0.788
3 Jean Polanco PPS 0.775
4 Roberto Villanueva FCW 0.774
5 Takao Tanaka SK 0.744
6 Keito Kaneko YBC 0.733
7 Maurizio Cernoia BNS 0.724
8 Benjamin Maledon ŽS 0.720
9 Justo Moncada BB 0.714
10 Earnest Rivera NYP 0.704
OBP XO Top 10
1 Rómulo Ortega SDC 0.868
2 Benjamin Maledon ŽS 0.811
3 Eriq Carmona LM 0.806
4 Jean Polanco PPS 0.800
5 Roberto Villanueva FCW 0.794
6 Takao Tanaka SK 0.783
7 Justo Moncada BB 0.771
8 Maurizio Cernoia BNS 0.771
9 Keito Kaneko YBC 0.765
10 Earnest Rivera NYP 0.765
SLG XO Top 10
1 Dennis McMichael PPS 1.674
2 Roberto Villanueva FCW 1.618
3 Eriq Carmona LM 1.472
4 Rohan Ramphal SDC 1.442
5 Rómulo Ortega SDC 1.421
6 Quentin Naeve HM 1.382
7 Kallen Langlois MCP 1.333
8 Keisei Sasaki SYC 1.324
9 Jean Polanco PPS 1.311
10 Tony Feliz MCP 1.275
OPS XO Top 10
1 Roberto Villanueva FCW 2.412
2 Dennis McMichael PPS 2.372
3 Rómulo Ortega SDC 2.289
4 Eriq Carmona LM 2.278
5 Rohan Ramphal SDC 2.140
6 Jean Polanco PPS 2.111
7 Quentin Naeve HM 2.059
8 Keisei Sasaki SYC 2.027
9 Kallen Langlois MCP 1.956
10 Tony Feliz MCP 1.925
wOBA XO Top 10
1 Dennis McMichael PPS 1.374
2 Roberto Villanueva FCW 1.319
3 Rómulo Ortega SDC 1.182
4 Eriq Carmona LM 1.173
5 Rohan Ramphal SDC 1.160
6 Quentin Naeve HM 1.135
7 Kallen Langlois MCP 1.101
8 Keisei Sasaki SYC 1.077
9 Tony Feliz MCP 1.036
10 Don Wild SDC 1.007
BABIP XO Top 10
1 Keito Kaneko YBC 0.875
2 Javain Pierre CB 0.857
3 Benjamin Maledon ŽS 0.833
4 Roberto Villanueva FCW 0.826
5 Rómulo Ortega SDC 0.826
6 Eriq Carmona LM 0.815
7 Justo Moncada BB 0.810
8 Maurizio Cernoia BNS 0.792
9 Takao Tanaka SK 0.788
10 Vladimir Soto KH 0.781

Fielding

PO/E credited per fielder via position-weighted attribution on each ball in play. Rate cards (FldPct, fewest errors) require ≥ 11 chances.
RF Top 10
1 Andy Snively GB 513.00
2 Sten Söderberg BNS 135.00
3 Liván Alarcón MCB 128.25
4 Marcos Ouahabi BB 101.25
5 Aslan Korolev NH 94.50
6 Kevin Baugh TBC 94.50
7 Yudai Mizuno OS 93.27
8 Hillel Cerretani PAF 90.00
9 Claudio Sandoval SDC 90.00
10 Kamil Jędrzejczyk PF 88.36

Power Play · Defense (the nickel)

The 10th defender. Counting lines for players deployed as the nickel fielder while their league runs the Power Play rule.

Power Play · Short-handed Offense

How hitters fared while the opposing defense had its nickel deployed — a man down against a loaded defense.

Power Play · Pitching

How a pitcher fared with the nickel deployed behind him. K% / BB% are his own (they never reach the extra fielder); BABIP reflects the loaded defense behind him.
PP-BABIP Top 10
1 Laurent Conte BIC 0.000
2 Hugo Toney BIC 0.000
3 Cahya Yudhoyono JF 0.000
4 Yunis Farouk KTH 0.000
5 Udanta Anand KTH 0.000
6 Raj Khangura KTH 0.000
7 Inzamam Khan KTH 0.000
8 Saud Mughal GS 0.000
9 Karim Al-Malki GS 0.000
10 Tat Ng BBC 0.000
BABIP Δ Top 10
1 Cahya Yudhoyono JF -1.000
2 Saud Mughal GS -1.000
3 Vusumuzi Mkhize OH -1.000
4 Alexander Schukin GP -1.000
5 Tariq Akhtar DAF -1.000
6 Egor Semyonov PC -1.000
7 Udanta Anand KTH -0.833
8 Bao Qi SPD -0.750
9 Catur Nugroho EI -0.750
10 Genki Shibata TF1 -0.714
PP-K% Top 10
1 Tarun Bhatia BBC 1.000
2 Leon Häcken OH 1.000
3 Basilio Conceição PF 1.000
4 Keith Kros GP 1.000
5 Aleš Růžička KRM 1.000
6 Alexander Frohms NP 1.000
7 Wali Zahir HCC 0.800
8 Karim Al-Malki GS 0.500
9 Paul Boucher OH 0.500
10 Tonderai Dube OH 0.500
PP-BB% Top 10
1 Laurent Conte BIC 0.000
2 Kamil Jelínek BIC 0.000
3 Maxime Mendy BIC 0.000
4 Vinod Kumar JF 0.000
5 Anas Chowdary JF 0.000
6 Mun Lai JF 0.000
7 Tillakaratne Senanayake JF 0.000
8 Cahya Yudhoyono JF 0.000
9 Yunis Farouk KTH 0.000
10 Raj Khangura KTH 0.000
PP-Cov% Top 10
1 Vusumuzi Mkhize OH 1.000
2 Scott Davis ŽS 1.000
3 Arshad Mirza KTH 0.800
4 Tariq Akhtar DAF 0.750
5 Hal Brymer GP 0.600
6 Saud Mughal GS 0.556
7 Jean Shitembi CBC 0.500
8 Onis Agnew SPD 0.500
9 Emile Boggs ŽS 0.500
10 Tonderai Dube OH 0.444

Pitching · Result-Tier (the trio)

FIP (low) Top 10
1 Collin Roeske LAB 7.05
2 Stan Leroy PB 7.51
3 Amareon Lukus MCP 7.59
4 Matvey Hallov GP 7.71
5 Chet Naeve CB 7.86
6 Junichi Kashio KH 7.93
7 Egan Gerald BB 8.06
8 Bogdan Zhemaletdinov ZL 8.08
9 Chenxi Lan CCB 8.12
10 Cormani Monreal BIC 8.23
LateK% Top 10
1 Jong Cone YBC 100.0%
2 Alexandre Albiol OB 100.0%
3 Collin Roeske LAB 75.0%
4 Jimmie Fruttero HEE 66.7%
5 Stan Leroy PB 66.7%
6 Tre Herman PAF 62.5%
7 Amareon Lukus MCP 60.0%
8 Seok-jin Ko KO 54.5%
9 Eddie McCauliff BB1 52.9%
10 Yuli Viciedo MCB 50.0%

Pitching · Workload & Stuff

K% Top 10
1 Gareth Wiltshire VB 0.511
2 Jun-ho Ok SYC 0.468
3 Seok-jin Ko KO 0.467
4 Junichi Kashio KH 0.460
5 Amareon Lukus MCP 0.444
6 Collin Roeske LAB 0.438
7 Won-jun Chu TF1 0.432
8 Stan Leroy PB 0.431
9 Ruslan Zubkov WBC 0.412
10 Tre Herman PAF 0.400
FO% Top 10
1 Min-jun Gong KO 0.167
2 Reese Barrera TBC 0.157
3 Dong-hyun Kwak QBS 0.154
4 Stuart Salazar MP 0.152
5 Gareth Wiltshire VB 0.149
6 Bao Qi SPD 0.137
7 Jun-seo Hong NE 0.132
8 Christopher Bahoken ŽS 0.121
9 Junichi Kashio KH 0.120
10 Patrick Chatman BB 0.119
BB% (low) Top 10
1 Chet Naeve CB 0.000
2 Jimmie Fruttero HEE 0.017
3 Kadin Meister LM 0.019
4 Carlens Moses NYP 0.019
5 Kosei Tsujino OS 0.031
6 Fred Cassell NE 0.035
7 Eddie McCauliff BB1 0.037
8 Alfred Clappov TF 0.038
9 Lucas Senda GB 0.038
10 Stan Leroy PB 0.039
K/BB Top 10
1 Jimmie Fruttero HEE 17.00
2 Kadin Meister LM 15.00
3 Collin Roeske LAB 10.00
4 Stan Leroy PB 8.50
5 Eddie McCauliff BB1 8.00
6 Seok-jin Ko KO 7.33
7 Matvey Hallov GP 7.00
8 Fred Cassell NE 7.00
9 Kosei Tsujino OS 6.50
10 Zira King MB 5.75

Pitching · MLB-Equivalent Rates (XO Crossover)

O27 pitcher rates z-anchored to MLB league mean and spread, so the numbers read like MLB stats. Rank order is identical to the Native cards above — only the numbers translate. Always shown; the toggle at the top affects the Native cards only.
OOBP (low) XO Top 10
1 Jimmie Fruttero HEE 0.271
2 Lance Talley CS 0.277
3 Collin Roeske LAB 0.280
4 Jun-seo Hong NE 0.281
5 Tre Herman PAF 0.282
6 Stan Leroy PB 0.283
7 Egan Gerald BB 0.283
8 Stuart Salazar MP 0.283
9 Lucas Senda GB 0.283
10 Jamier Cacic CGT 0.284
OSLG (low) XO Top 10
1 Patrick Chatman BB 0.341
2 Lucas Senda GB 0.342
3 Terry Freedov NP 0.345
4 Lance Talley CS 0.347
5 Stuart Salazar MP 0.347
6 Jamier Cacic CGT 0.349
7 Yury Ionov ZL 0.351
8 Collin Roeske LAB 0.352
9 Egan Gerald BB 0.355
10 Farhan Abdullah OS 0.356
OOPS (low) XO Top 10
1 Lance Talley CS 0.623
2 Lucas Senda GB 0.625
3 Patrick Chatman BB 0.628
4 Stuart Salazar MP 0.630
5 Collin Roeske LAB 0.632
6 Jamier Cacic CGT 0.633
7 Yury Ionov ZL 0.635
8 Terry Freedov NP 0.636
9 Egan Gerald BB 0.638
10 Theodore McCree GB 0.642

Pitching · Counting & Value

Pitching · Walk-Back & MLB-Readable Rates

Walk-Back Stop% is O27-rule-specific (no MLB analog) and stays on native scale across both toggles. ERA / WHIP / K/9 / BB/9 / HR/9 honor the XO toggle when active.

Pitching · Arsenal mix

Pitch-type usage averaged across appearances. Each pitcher's repertoire is sampled per PA (fastball / breaking / off-speed); the catalog and per- pitch K/contact deltas live in o27/config.py:PITCH_CATALOG.

Game Logs · Top 10 of the Season

Pitching · Top 10 Outings (GSc)
Pitcher Tm Game IP H BB K ER GSc
1 Collin Roeske LAB HMR@LAB 8.2 1 0 15 0 83.3
2 Jamier Cacic CGT CGT@BB1 9.0 2 2 12 1 82.2
3 Jimmie Fruttero HEE HEE@CS 9.0 4 1 12 0 82.1
4 Terry Freedov NP NP@NYL 9.0 2 7 6 1 81.9
5 Dong-hyun Kwak QBS QBS@NH 9.0 4 6 6 0 81.8
6 Yasuhito Fujimoto SCJ SCJ@WBC 9.0 3 1 8 0 79.5
7 Donni McKennie HMR MF@HMR 8.2 3 1 6 1 79.3
8 Amjad Jamalov KTH HCC@KTH 9.0 3 4 9 3 79.0
9 Tre Herman PAF PAF@CNC 9.0 4 1 9 0 78.8
10 Mauricio Spanner MF MB@MF 9.0 3 3 9 2 78.5
Batting · Top 10 Games (bGSc)
Batter Tm Game H-AB HR RBI R K bGSc
1 Falgun Chavan GS KKK@GS 8-8 4 10 10 0 100.0
2 Kawika McGruder SDC SDC@RDJ 6-7 1 7 8 1 100.0
3 Roland Mills SDC SDC@RDJ 6-6 1 10 6 0 100.0
4 Sagar Lamichhane DAF DAF@GS 6-6 2 7 8 0 100.0
5 Cole Bartkowicz CB CB@NYP 6-6 1 7 9 0 100.0
6 Lawrence Gullett CB CB@NYP 6-8 1 10 6 2 100.0
7 Yoelvis Céspedes LM HM@LM 6-7 0 5 5 1 100.0
8 Sebastian Stark LM HM@LM 6-7 1 5 5 0 100.0
9 Dennis McMichael PPS PPS@CB 6-6 3 9 7 0 100.0
10 Takao Tanaka SK SK@TF 6-6 2 8 8 0 100.0

Streaks & Milestones

Longest Hit Streaks
1 Umar Latif DAF 12 G
2 Emmanuel Sotto FCW 12 G
3 Oribe Franklin PDR 11 G
4 Bud Behrens PDR 11 G
5 Jean Polanco PPS 11 G
6 Sacha Akpeyi SPD 11 G
7 Mohun Sharma EI 11 G
8 Jae-ho Kang HM1 11 G
9 Edinson Ochoa CS 11 G
10 Destyn Phillips NP 11 G
No-Hitters
None yet
Perfect Games
None yet

Win Probability & Leverage

Win probability is fit empirically from this league's own outcomes — every PA's pre/post state stamped in game_pa_log is joined to the final winner_id on games, so WP(state) = observed-win-frequency at that state. WPA per PA = WPafter − WPbefore; Leverage Index normalizes RMS swing at each state so league-average LI = 1.0.
Built from 453 games.

Wallet · Highest Paid

Salary (guilders) Top 25
1 Oribe Franklin · RF PDR ƒ308 crore
2 Robby Spoelstra · RF KBK ƒ293 crore
3 Manabu Hamano · RF TF ƒ271 crore
4 Tamatoa Phillips · RF LP ƒ267 crore
5 Oskar Zieliński · RF BNS ƒ247 crore
6 Samuel Sunzu · RF ŽS ƒ243 crore
7 Kam Bett · RF CF ƒ243 crore
8 Alexey Semyonov · RF NP ƒ239 crore
9 Emmanuel Sotto · RF FCW ƒ236 crore
10 Takuma Terachi · RF KH ƒ233 crore
11 Wael Yehia · LF EI ƒ222 crore
12 Tanook Purdy · 3B MF ƒ222 crore
13 Yuli Moncada · SS HM ƒ222 crore
14 Shamarius Lambert · RF CNC ƒ220 crore
15 Frickson Barroso · LF NYP ƒ218 crore
16 Guillermo Ram · RF CS ƒ217 crore
17 Kilian Chaplin · 2B HEE ƒ213 crore
18 Pierre Johnsson · RF BIC ƒ211 crore
19 Miles Levy · RF CGT ƒ208 crore
20 Riad Bensebaini · RF NYL ƒ205 crore
21 Samson Kunkelov · RF TF1 ƒ204 crore
22 Cole Bartkowicz · LF CB ƒ199 crore
23 Leon Cowell · LF OF ƒ197 crore
24 Henrich Tóth · RF CBK ƒ196 crore
25 Yasuhito Hasebe · RF OS ƒ196 crore
Methodology
Batting rates are PA-denominated. PAVG = H/PA; OPS+ / wOBA+ are league-relativized (100 = league avg, higher = better). 2C (Second-Chance ABs) counts contact events where the batter chose to stay (and earned a hit while spending a strike from their AB-budget) instead of run. The load-bearing O27 mechanic. Listed as a counting stat — the underlying rate is 1-3% of PAs league-wide, too small to read as a percentage.

Pitching uses three result-tier metrics that each tell a different story. xRA weights earned runs by arc position (outs 1–9 ×0.85, 10–18 ×1.00, 19–27 ×1.20) and league-anchors to raw ER/27. xRA (Expected Runs Allowed) is a non-negative linear-weights formula — coefficients HR ≈ 1.4, single ≈ 0.45, BB / HBP ≈ 0.32, K / out = 0 — anchored to league RA/27 (all runs). Replaces the previous xFIP column, which produced negative values for high-K small-sample pitchers because the FIP coefficient sign convention. Decay measures late-arc fade (K%_arc1 − K%_arc3 in points; lower = more durable). GSc is a per-appearance Game Score (50 = neutral, 100 = perfection). OS+ is league-relative outs per appearance (100 = avg). PA-rate K% counts foul-outs as Ks. WAR uses an O27-fitted runs-per-win factor (~21 vs MLB's ~10). W/L credits an SP with ≥ 12 outs and the lead, otherwise the most-effective reliever.
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