Wil Crowe

P Reading Fightin Phils

Age 32 RHP 6'1" / 240 lbs AA

Overview

AARP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	27	MLBPIT	60	1	76	4.38	4.18	20.5%	11.4%	0.3
2023	28	MIX3 levels	22	3	40	4.05	4.00	22.0%	11.8%	0.3	K 20.5% · BB 9.3% · FIP 3.86
2025	30	MIX2 levels	13	11	43	7.74	5.17	15.5%	12.1%	—	K 13.3% · BB 10.0% · FIP 5.17
2026	31	No MLB games played
2027PROJ	32	MLBPHI	1	1	3	5.16	5.04	17.3%	10.5%	0.0
2028PROJ31% MLB	33	MLBPHI	6	6	35	5.26	5.32	16.5%	11.0%	0.0
2029PROJ27% MLB	34	MLBPHI	4	4	23	5.48	5.62	15.6%	11.5%	-0.1

Last 3 seasons WAR 0.6 · Next 3 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2022

FB Velo58

xwOBA vs44

K%38

CompsPete Walker (age 33) · Kenshin Kawakami (age 34) · Jason Berken (age 32)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 122114vR 106

ERA5.16

FIP5.04

K%17.3%

BB%10.5%

K-BB%6.8%

Proj IP165

Value2027 · WAR

Runs saved vs league avg · 165 IP

Grades · Statcast · Contract

Scouting Grades

STUF5555

CTRL4040

CMD4040

K†4040

Statcast Percentiles

FB Velo

p5895.1

Whiff%

p6427.5%

p3820.5%

xwOBA vs

p440.318

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

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)
2017	22	ROK MLE	GCL Nationals	2	2	4	14	2	1	0	100%	1.8	14.3%	7.1%	7.1%	0.0%	4.91	2.80	—
2017	22	ROK RAW	GCL Nationals	2	2	4	14	2	1	0	100%	1.8	14.3%	7.1%	7.1%	0.0%	4.91	2.83	—
2018	23	MIX MLE	2 levels	21	20	113	480	93	46	10	95%	5.4	15.0%	10.9%	4.2%	2.6%	3.49	4.64	—
2018	23	MIX RAW	2 levels	21	20	113	480	93	46	10	95%	5.4	19.4%	9.6%	9.8%	2.1%	3.49	3.82	—
2019	24	MIX MLE	2 levels	26	26	149	633	130	47	15	100%	5.7	17.1%	8.0%	9.1%	2.6%	4.70	4.11	—
2019	24	MIX RAW	2 levels	26	26	149	633	130	47	15	100%	5.7	20.5%	7.4%	13.1%	2.4%	4.70	3.61	—
2020	25	MLB MLE	Washington Nationals	3	3	8	46	8	8	5	100%	2.8	17.4%	17.4%	0.0%	10.9%	11.88	9.80	-0.4
2020	25	MLB RAW	Washington Nationals	3	3	8	46	8	8	5	100%	2.8	17.4%	17.4%	0.0%	10.9%	11.88	11.86	-0.6
2021	26	MIX MLE	2 levels	27	25	118	527	112	56	25	93%	4.4	21.2%	10.7%	10.5%	5.2%	5.43	5.50	-0.1
2021	26	MIX RAW	2 levels	27	25	118	527	112	56	25	93%	4.4	21.3%	10.6%	10.6%	4.7%	5.43	5.39	+0.0
2022	27	MLB MLE	Pittsburgh Pirates	60	1	76	332	68	38	8	2%	1.3	20.5%	11.4%	9.0%	2.6%	4.38	4.25	+0.3
2022	27	MLB RAW	Pittsburgh Pirates	60	1	76	332	68	38	8	2%	1.3	20.5%	11.4%	9.0%	2.4%	4.38	4.18	+0.3
2023	28	MIX MLE	3 levels	22	3	40	186	41	22	4	14%	1.8	20.5%	9.3%	11.2%	2.4%	4.05	3.86	+0.3
2023	28	MIX RAW	3 levels	22	3	40	186	41	22	4	14%	1.8	22.0%	11.8%	10.2%	2.2%	4.05	4.00	+0.3
2025	30	MIX MLE	2 levels	13	11	43	207	32	25	6	85%	3.3	13.3%	10.0%	3.3%	3.5%	7.74	5.17	—
2025	30	MIX MLE	2 levels	13	11	43	207	32	25	6	85%	3.3	13.3%	10.0%	3.3%	3.5%	7.74	5.17	—
2025	30	MIX RAW	2 levels	13	11	43	207	32	25	6	85%	3.3	15.5%	12.1%	3.4%	2.9%	7.74	5.17	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			94	29	211	949	196	110	39	31%	2.2	20.7%	11.6%	9.1%	4.1%	5.30	5.21	-1.6
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	32	MLB	PHI	1	1	3	13	2	1	0	100%	3.0	17.3%	10.5%	6.8%	3.1%	5.16	5.04	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	33	MLB MLE	PHI	19	19	113	477	79	52	16	100%	5.9	16.5%	11.0%	5.5%	3.4%	5.26	5.32	+0.1
2029	34	MLB MLE	PHI	14	14	87	366	57	42	13	100%	6.2	15.6%	11.5%	4.1%	3.7%	5.48	5.62	-0.2
2028	33	MLB CTX	PHI	6	6	35	148	24	16	5	100%	5.8	16.5%	11.0%	5.5%	3.4%	5.26	5.32	+0.0
2029	34	MLB CTX	PHI	4	4	23	97	15	11	4	100%	5.8	15.6%	11.5%	4.1%	3.7%	5.48	5.62	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		104	39	269	1196	236	138	48	38%	2.6	19.7%	11.5%	8.2%	4.0%	5.31	5.08	-1.6
/ 200 IP	—	RAW		77	29	200	889	175	103	36	37%	2.6	19.7%	11.5%	8.2%	4.0%	5.31	5.08	-1.2
Career	—	MLE		174	91	551	2425	436	244	82	52%	3.2	18.0%	10.1%	7.9%	3.4%	4.86	4.71	+0.3
/ 200 IP	—	MLE		63	33	200	880	158	88	30	52%	3.2	18.0%	10.1%	7.9%	3.4%	4.86	4.71	+0.2

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.

2025 AAReading Fightin Phils · 36 IPFIP 4.53 → 5.17 (+0.64)K% 16.4% → 13.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.36%	—	×0.810	13.25%
BB% (unintentional) /BF	9.09%	—	×1.100	10.00%
HR / BF /BF	3.03%	÷1.036	×1.200	3.51%

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 107).

Result: FIP 4.53 → 5.17, 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).

2025 AAALehigh Valley IronPigs · 7 IPFIP 6.42 → 6.47 (+0.05)K% 11.9% → 10.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	11.90%	—	×0.860	10.24%
BB% (unintentional) /BF	23.81%	—	×0.900	21.43%
HR / BF /BF	2.38%	÷0.947	×1.100	2.77%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 89).

Result: FIP 6.42 → 6.47, 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).

2023 AAAIndianapolis Indians · 27 IPFIP 3.70 → 3.86 (+0.16)K% 23.8% → 20.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.81%	—	×0.860	20.48%
BB% (unintentional) /BF	10.32%	—	×0.900	9.29%
HR / BF /BF	2.38%	÷1.095	×1.100	2.39%

Result: FIP 3.70 → 3.86, 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).

2019 AAHarrisburg Senators · 95 IPFIP 3.01 → 3.55 (+0.54)K% 23.2% → 18.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.24%	—	×0.810	18.82%
BB% (unintentional) /BF	5.74%	—	×1.100	6.32%
HR / BF /BF	2.09%	÷1.111	×1.200	2.26%

Result: FIP 3.01 → 3.55, 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).

2019 AAAFresno Grizzlies · 54 IPFIP 4.52 → 4.97 (+0.45)K% 16.4% → 14.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.40%	—	×0.880	14.43%
BB% (unintentional) /BF	10.00%	—	×1.050	10.50%
HR / BF /BF	2.80%	÷0.962	×1.100	3.20%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 92).

Result: FIP 4.52 → 4.97, 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).

2018 A+Potomac Nationals · 87 IPFIP 3.24 → 4.03 (+0.79)K% 21.6% → 16.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.61%	—	×0.770	16.64%
BB% (unintentional) /BF	8.31%	—	×1.150	9.56%
HR / BF /BF	1.66%	÷1.017	×1.250	2.04%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 103).

Result: FIP 3.24 → 4.03, 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).

2018 AAHarrisburg Senators · 26 IPFIP 5.58 → 6.50 (+0.92)K% 12.6% → 10.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	12.61%	—	×0.810	10.21%
BB% (unintentional) /BF	13.45%	—	×1.100	14.79%
HR / BF /BF	3.36%	÷0.925	×1.200	4.36%

Result: FIP 5.58 → 6.50, 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
Wil Crowe (OGILVIE)	—	—	5.04	17.3%	10.5%	3.1%	—	5.45	16.1%	4.9%	200	+0.41	—	—	—
Pete Walker R 2002 · 4.59 FIP	33	SP-	4.59	13.4%	7.7%	3.0%	.279	5.16	12.0%	2.8%	139	+0.57	4.45	327	68
Kenshin Kawakami R 2009 · 3.97 FIP	34	SP-	3.97	15.7%	7.6%	2.2%	.277	4.06	15.1%	9.5%	87	+0.09	3.97	244	66
Jason Berken R 2016 · 4.54 FIP	32	SW	4.54	11.5%	8.3%	2.5%	.308	—	—	—	—	—	3.37	468	65
Elian Leyva R 2019 · 4.30 FIP	30	SP-	4.30	17.0%	8.5%	2.9%	.323	—	—	—	—	—	3.10	158	62
Austin Bibens-Dirkx R 2017 · 5.03 FIP	32	SW	5.03	14.0%	6.6%	4.2%	.268	5.28	17.5%	9.7%	166	+0.25	3.97	567	62
Marco Quevedo R 2019 · 5.17 FIP	32	SP-	5.17	13.6%	11.4%	3.2%	.344	—	—	—	—	—	4.13	300	58
Todd Redmond R 2015 · 3.86 FIP	30	SW	3.86	15.4%	7.1%	2.1%	.311	—	—	—	—	—	3.21	247	58
Daniel McCutchen R 2015 · 4.30 FIP	32	SP-	4.30	13.9%	4.4%	3.3%	.268	4.74	10.8%	4.9%	155	+0.44	4.13	476	58
Hector Galvan R 2019 · 4.84 FIP	31	SP-	4.84	14.3%	12.2%	2.6%	.357	—	—	—	—	—	3.59	406	57
Osvaldo Fernandez R 2001 · 4.53 FIP	32	SP-	4.53	9.6%	8.2%	2.2%	.324	—	—	—	—	—	4.25	387	56
Rodolfo Aguirre R 2017 · 5.96 FIP	32	SW	5.96	10.0%	13.0%	3.8%	.316	4.50	21.3%	16.2%	15	-1.46	3.39	212	56
David Fletcher R 2024 · 5.67 FIP	30	SP-	5.67	7.5%	10.3%	3.5%	.294	—	—	—	—	—	5.67	100	55
Junior Guerra R 2017 · 5.24 FIP	32	SP-	5.24	19.4%	12.8%	3.9%	.255	3.99	22.2%	12.5%	248	-1.25	3.18	646	55
Yohan Pino R 2015 · 4.13 FIP	31	SP-	4.13	17.8%	5.8%	3.3%	.312	5.33	15.2%	11.6%	35	+1.20	3.84	193	54
Nate Long R 2015 · 4.67 FIP	29	SP	4.67	14.8%	10.6%	2.7%	.285	—	—	—	—	—	4.67	151	54
Bradin Hagens R 2019 · 5.46 FIP	30	SW	5.46	13.2%	12.6%	3.4%	.303	—	—	—	—	—	3.79	254	54
Juan Omar Espinoza R 2016 · 4.84 FIP	32	SP-	4.84	8.4%	9.2%	2.4%	.348	—	—	—	—	—	4.81	104	53
Ivan Maldonado R 2015 · 4.60 FIP	35	SW	4.60	12.8%	8.7%	2.7%	.269	5.41	6.4%	-3.3%	104	+0.81	4.60	172	53
Chris Jakubauskas R 2011 · 4.42 FIP	32	SW	4.42	15.7%	7.9%	3.0%	.339	—	—	—	—	—	4.42	165	52
Shawn Haviland R 2017 · 5.00 FIP	31	SP-	5.00	16.3%	8.1%	4.1%	.261	—	—	—	—	—	3.69	283	52

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 2,161 pitcher careers (1,251 from 1990-2025 + 910 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	2.9	115	18.2%	11.2%	1.40	5.28
Jesus Sanchez ('04)	2.6	131	16.3%	11.9%	1.41	5.32
Rich Robertson ('66-'71, -3 WAR*)	1.5	101	17.3%*	10.6%*	1.18*	5.54*
Jim Britton ('67-'71, -0 WAR*)	1.2	79	18.4%*	11.7%*	1.42*	5.10*
Charlie Puleo ('81-'89, 1 WAR*)	3.2	90	18.5%*	11.5%*	1.22*	4.73*
Brandon Backe ('09)	2.6	88	15.4%	10.2%	1.49	5.23
Matt Kinney ('05)	1.9	97	16.8%	9.9%	1.39	5.29