Patrick Corbin

PosP

B/TL/L

Born1989-07-19

Age (2027)38

No MLB projection yet. Career stats below are historical.

Overview

MLBSPIL-6040-MAN

Pitching

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	35	MLBWSH	32	32	175	5.62	4.28	18.2%	6.9%	2.3
2025	36	MLBTEX	31	30	155	4.40	4.14	19.8%	7.5%	2.3
2026	37	MIX2 levels	20	16	85	5.19	4.16	18.9%	6.8%	1.2	K 17.5% · BB 6.9% · FIP 4.33
2027PROJ	38	MLBTOR	6	6	36	4.77	4.65	17.7%	7.4%	0.3
2028PROJ	39	MLBTOR	7	7	41	4.80	4.81	18.5%	7.3%	0.3
2029PROJ	40	MLBTOR	3	3	19	5.07	5.25	17.4%	8.0%	0.0

Last 3 seasons WAR 5.9 · Next 3 projected WAR 0.6Projected rows: MLB playing time only, park and league context applied.

Hitting

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2018	29	MLBARI	67	.197/.222/.213	0	0	12	-0.6
2019	30	MLBWSH	72	.092/.132/.108	0	0	-40	-1.1
2021	32	MLBWSH	63	.132/.179/.132	0	0	-23	-0.8
2022	33	No MLB games played
2023	34	No MLB games played
2024	35	No MLB games played
2025	36	No MLB games played
2026	37	No MLB games played

Last 3 seasons WAR -2.4

Contract

No contract data on file.

CompsMauricio Lara (age 38) · Jorge Castillo (age 37) · Juan Antonio Pena (age 37)

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to the standard WAR scale.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far)
2012	23	MLB MLE	Arizona Diamondbacks	22	17	107	454	86	23	14	77%	4.9	18.9%	5.1%	13.9%	3.1%	4.54	3.82	+2.0
2012	23	MLB RAW	Arizona Diamondbacks	22	17	107	454	86	23	14	77%	4.9	18.9%	5.1%	13.9%	3.1%	4.54	3.84	+2.0
2013	24	MLB MLE	Arizona Diamondbacks	32	32	208	860	178	53	19	100%	6.5	20.7%	6.2%	14.5%	2.2%	3.41	3.33	+5.3
2013	24	MLB RAW	Arizona Diamondbacks	32	32	208	860	178	53	19	100%	6.5	20.7%	6.2%	14.5%	2.2%	3.41	3.34	+5.3
2015	26	MIX MLE	3 levels	20	20	102	430	89	24	10	100%	5.1	20.6%	5.3%	15.3%	2.4%	3.79	3.34	+2.6
2015	26	MIX RAW	3 levels	20	20	102	430	89	24	10	100%	5.1	20.7%	5.6%	15.1%	2.3%	3.79	3.34	+2.6
2016	27	MLB MLE	Arizona Diamondbacks	36	24	156	701	131	64	24	67%	4.3	18.7%	9.1%	9.6%	3.4%	5.15	4.54	+1.6
2016	27	MLB RAW	Arizona Diamondbacks	36	24	156	701	131	64	24	67%	4.3	18.7%	9.1%	9.6%	3.4%	5.15	4.65	+1.3
2017	28	MLB MLE	Arizona Diamondbacks	33	32	190	826	178	53	26	97%	5.7	21.5%	6.4%	15.1%	3.1%	4.03	3.80	+3.6
2017	28	MLB RAW	Arizona Diamondbacks	33	32	190	826	178	53	26	97%	5.7	21.5%	6.4%	15.1%	3.1%	4.03	3.84	+3.5
2018	29	MLB MLE	Arizona Diamondbacks	33	33	200	800	246	45	15	100%	6.1	30.8%	5.6%	25.1%	2.0%	3.15	2.30	+8.1
2018	29	MLB RAW	Arizona Diamondbacks	33	33	200	800	246	45	15	100%	6.1	30.8%	5.6%	25.1%	1.9%	3.15	2.29	+8.2
2019	30	MLB MLE	Washington Nationals	33	33	202	835	238	68	24	100%	6.1	28.5%	8.1%	20.4%	2.9%	3.25	3.30	+5.3
2019	30	MLB RAW	Washington Nationals	33	33	202	835	238	68	24	100%	6.1	28.5%	8.1%	20.4%	2.9%	3.25	3.30	+5.3
2020	31	MLB MLE	Washington Nationals	11	11	66	295	60	17	10	100%	6.0	20.3%	5.8%	14.6%	3.4%	4.66	3.97	+1.1
2020	31	MLB RAW	Washington Nationals	11	11	66	295	60	17	10	100%	6.0	20.3%	5.8%	14.6%	3.4%	4.66	4.03	+1.1
2021	32	MLB MLE	Washington Nationals	31	31	172	751	143	58	37	100%	5.5	19.0%	7.7%	11.3%	4.9%	5.82	5.17	+0.4
2021	32	MLB RAW	Washington Nationals	31	31	172	751	143	58	37	100%	5.5	19.0%	7.7%	11.3%	4.9%	5.82	5.25	+0.3
2022	33	MLB MLE	Washington Nationals	31	31	153	713	128	48	27	100%	4.9	18.0%	6.7%	11.2%	3.8%	6.31	4.52	+1.6
2022	33	MLB RAW	Washington Nationals	31	31	153	713	128	48	27	100%	4.9	18.0%	6.7%	11.2%	3.8%	6.31	4.67	+1.3
2023	34	MLB MLE	Washington Nationals	32	32	180	790	124	57	33	100%	5.6	15.7%	7.2%	8.5%	4.2%	5.20	4.98	+0.9
2023	34	MLB RAW	Washington Nationals	32	32	180	790	124	57	33	100%	5.6	15.7%	7.2%	8.5%	4.2%	5.20	5.06	+0.7
2024	35	MLB MLE	Washington Nationals	32	32	175	764	139	53	25	100%	5.5	18.2%	6.9%	11.3%	3.3%	5.62	4.24	+2.4
2024	35	MLB MLE	Washington Nationals	32	32	175	764	139	53	25	100%	5.5	18.2%	6.9%	11.3%	3.3%	5.62	4.24	+2.4
2024	35	MLB RAW	Washington Nationals	32	32	175	764	139	53	25	100%	5.5	18.2%	6.9%	11.3%	3.3%	5.62	4.28	+2.3
2025	36	MLB MLE	Texas Rangers	31	30	155	663	131	50	21	97%	5.0	19.8%	7.5%	12.2%	2.9%	4.40	4.00	+2.6
2025	36	MLB MLE	Texas Rangers	31	30	155	663	131	50	21	97%	5.0	19.8%	7.5%	12.2%	2.9%	4.40	4.00	+2.6
2025	36	MLB RAW	Texas Rangers	31	30	155	663	131	50	21	97%	5.0	19.8%	7.5%	12.2%	3.2%	4.40	4.14	+2.3
2026	37	MIX MLE	2 levels	20	16	85	380	72	26	12	80%	4.2	17.5%	6.9%	10.6%	3.3%	5.19	4.33	+1.1
2026	37	MIX MLE	2 levels	20	16	85	380	72	26	12	80%	4.2	17.5%	6.9%	10.6%	3.3%	5.19	4.33	+1.1
2026	37	MIX RAW	2 levels	20	16	85	380	72	26	12	80%	4.2	18.9%	6.8%	12.1%	3.2%	5.19	4.16	+1.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			392	369	2128	9169	1923	631	296	94%	5.4	21.0%	6.9%	14.1%	3.2%	4.54	3.99	+35.7
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	38	MLB	TOR	6	6	36	152	27	11	5	100%	6.0	17.7%	7.4%	10.2%	3.1%	4.77	4.65	+0.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	39	MLB MLE	TOR	7	7	41	174	32	13	6	100%	5.9	18.5%	7.3%	11.2%	3.6%	4.80	4.81	+0.3
2029	40	MLB MLE	TOR	3	3	19	82	14	7	3	100%	6.5	17.4%	8.0%	9.3%	4.0%	5.07	5.25	+0.0
2028	39	MLB CTX	TOR	7	7	41	173	32	13	6	100%	5.9	18.5%	7.3%	11.2%	3.6%	4.80	4.81	+0.3
2029	40	MLB CTX	TOR	3	3	19	80	14	6	3	100%	6.3	17.4%	8.0%	9.3%	4.0%	5.07	5.25	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		402	379	2188	9425	1969	650	306	94%	5.4	20.9%	6.9%	14.0%	3.2%	4.55	3.99	+36.8
/ 200 IP	—	RAW		37	35	200	861	180	59	28	94%	5.4	20.9%	6.9%	14.0%	3.2%	4.55	3.99	+3.4
Career	—	MLE		397	374	2150	9262	1937	638	296	94%	5.4	20.9%	6.9%	14.0%	3.2%	4.53	3.96	+36.0
/ 200 IP	—	MLE		37	35	200	862	180	59	28	94%	5.4	20.9%	6.9%	14.0%	3.2%	4.53	3.96	+3.3

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 ADunedin Blue Jays · 5 IPFIP -0.07 → 1.04 (+1.10)K% 45.0% → 33.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	45.00%	—	×0.740	33.30%
BB% (unintentional) /BF	5.00%	—	×1.180	5.90%
HR / BF /BF	0.00%	÷1.000	×1.300	0.00%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP -0.07 → 1.04, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2015 AAMobile BayBears · 16 IPFIP 3.49 → 3.94 (+0.45)K% 16.9% → 13.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.92%	—	×0.810	13.71%
BB% (unintentional) /BF	7.69%	—	×1.100	8.46%
HR / BF /BF	1.54%	÷1.098	×1.200	1.68%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 120).

Result: FIP 3.49 → 3.94, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Patrick Corbin (OGILVIE)	—	—	—	—	—	3.1%	—	4.95	18.2%	10.6%	61	+0.30	—	—	—
Mauricio Lara L 2017 · 3.70 FIP	38	SP	3.70	12.0%	6.3%	1.5%	.301	4.96	12.3%	5.5%	111	+1.26	3.62	444	45
Jorge Castillo L 2019 · 4.91 FIP	37	SP	4.91	19.6%	8.1%	4.5%	.316	—	—	—	—	—	4.50	408	43
Juan Antonio Pena L 2015 · 4.20 FIP	37	SP-	4.20	13.6%	9.9%	1.8%	.287	—	—	—	—	—	4.20	149	42
Oscar Rivera L 2017 · 5.80 FIP	36	SP	5.80	9.8%	7.8%	4.6%	.252	—	—	—	—	—	3.68	237	37
Jason Lane L 2015 · 5.56 FIP	38	SP	5.56	8.4%	6.2%	4.3%	.307	—	—	—	—	—	5.56	164	36
Walter Silva R 2015 · 4.15 FIP	38	SP	4.15	14.8%	7.4%	2.5%	.311	3.91	10.4%	3.7%	209	-0.24	3.67	453	21
Hiroki Kuroda R 2013 · 3.44 FIP	38	SP	3.44	18.2%	5.0%	2.3%	.279	3.39	17.8%	13.5%	199	-0.05	2.96	1,319	19
Pablo Ortega R 2015 · 4.52 FIP	38	SP	4.52	8.6%	7.3%	2.2%	.291	4.24	11.5%	6.0%	236	-0.28	4.01	375	19
Yasutomo Kubo R 2019 · 3.98 FIP	38	SP	3.98	20.4%	4.7%	3.6%	.327	—	—	—	—	—	3.98	152	19
Jon Leicester R 2015 · 3.76 FIP	36	SP	3.76	12.3%	5.9%	1.7%	.333	—	—	—	—	—	3.76	113	18
Jose Oyervides R 2019 · 5.66 FIP	37	SP	5.66	16.3%	11.2%	4.6%	.320	—	—	—	—	—	3.01	407	18
Ivan Maldonado R 2016 · 5.41 FIP	36	SP	5.41	6.4%	9.7%	3.0%	.325	—	—	—	—	—	4.60	172	15
Lorenzo Barcelo R 2016 · 3.48 FIP	38	SP	3.48	12.8%	1.1%	2.4%	.329	—	—	—	—	—	3.14	259	9
Logan Duran R 2019 · 3.66 FIP	37	SP-	3.66	15.5%	8.9%	1.4%	.427	—	—	—	—	—	3.42	187	6
Jonathan Castellanos R 2019 · 5.24 FIP	37	SW	5.24	11.0%	9.0%	3.5%	.348	—	—	—	—	—	3.40	394	2

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	11.1	131	20.8%	7.2%	1.25	4.56
Jason Hammel ('18)	9.1	139	18.2%	7.2%	1.15	4.62
Chris Capuano ('16)	7.1	119	19.5%	7.5%	1.23	4.38
Brett Myers ('13)	8.6	142	18.9%	7.6%	1.30	4.25
Ed Whitson ('77-'91, 20 WAR*)	11.2	160	18.1%*	7.4%*	1.25*	4.37*
Marty Pattin ('68-'80, 21 WAR*)	10.2	157	19.9%*	6.9%*	1.34*	4.16*
Milt Wilcox ('70-'86, 16 WAR*)	10.1	126	20.1%*	8.9%*	1.23*	4.40*

Patrick Corbin

Career Stats + Projections

How the minor-league lines were translated

Career Path Comps

Career Comps