Nabil Crismatt

P Reno Aces

Age 32 RHP 6'1" / 220 lbs AAA

Overview

AAASP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	28	MIX2 levels	31	9	72	7.12	5.56	20.1%	9.0%	-0.8	K 17.8% · BB 8.3% · FIP 5.67
2024	29	MIX2 levels	32	16	86	5.55	3.70	20.9%	7.2%	1.7	K 17.8% · BB 7.0% · FIP 3.87
2025	30	MIX2 levels	28	25	136	3.89	4.46	16.4%	5.9%	1.5	K 14.7% · BB 5.4% · FIP 4.88
2026	31	No MLB games played
2027PROJ	32	MLBARI	8	0	8	4.61	4.90	13.6%	5.6%	-0.0
2028PROJ37% MLB	33	MLBARI	13	0	14	4.95	5.18	12.8%	6.0%	-0.1
2029PROJ32% MLB	34	MLBARI	6	0	6	5.27	5.49	11.9%	6.5%	-0.1

Last 3 seasons WAR 2.4 · Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2025

xwOBA vs34

FB Velo10

K%10

CompsAustin Bibens-Dirkx (age 32) · Todd Redmond (age 30) · Elian Leyva (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 123115vR 107

ERA4.61

FIP4.90

K%13.6%

BB%5.6%

K-BB%8.0%

Proj IP78

Value2027 · WAR

Runs saved vs league avg · 78 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p1089.1

Whiff%

p4023.8%

p1016.3%

xwOBA vs

p340.331

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)
2015	20	ROK MLE	Kingsport Mets	12	8	62	254	63	12	6	67%	5.2	16.9%	5.9%	11.0%	3.3%	2.90	4.24	—
2015	20	ROK RAW	Kingsport Mets	12	8	62	254	63	12	6	67%	5.2	24.8%	4.7%	20.1%	2.4%	2.90	2.91	—
2016	21	MIX MLE	2 levels	5	4	35	132	39	3	2	80%	6.9	21.7%	2.2%	19.6%	1.1%	1.82	2.14	—
2016	21	MIX RAW	2 levels	5	4	35	132	39	3	2	80%	6.9	29.5%	2.3%	27.3%	1.5%	1.82	1.86	—
2017	22	A+ MLE	St. Lucie Mets	26	25	146	640	142	33	17	96%	5.6	17.1%	5.9%	11.2%	3.6%	3.95	4.41	—
2017	22	A+ RAW	St. Lucie Mets	26	25	146	640	142	33	17	96%	5.6	22.2%	5.2%	17.0%	2.7%	3.95	3.35	—
2018	23	MIX MLE	2 levels	27	27	144	640	140	56	16	100%	5.3	18.1%	9.5%	8.6%	2.8%	5.00	4.33	—
2018	23	MIX RAW	2 levels	27	27	144	640	140	56	16	100%	5.3	21.9%	8.8%	13.1%	2.5%	5.00	3.77	—
2019	24	MIX MLE	2 levels	27	21	130	550	157	32	21	78%	4.8	24.0%	6.2%	17.8%	4.5%	4.49	4.35	—
2019	24	MIX RAW	2 levels	27	21	130	550	157	32	21	78%	4.8	28.5%	5.8%	22.7%	3.8%	4.49	3.52	—
2020	25	MLB MLE	St. Louis Cardinals	6	0	8	31	8	0	2	0%	1.4	25.8%	0.0%	25.8%	6.5%	3.24	4.46	+0.0
2020	25	MLB RAW	St. Louis Cardinals	6	0	8	31	8	0	2	0%	1.4	25.8%	0.0%	25.8%	6.5%	3.24	4.30	+0.0
2021	26	MIX MLE	2 levels	48	0	85	366	77	23	10	0%	1.8	20.2%	6.3%	14.0%	2.8%	3.60	3.71	+0.8
2021	26	MIX RAW	2 levels	48	0	85	366	77	23	10	0%	1.8	21.0%	6.3%	14.8%	2.7%	3.60	3.63	+0.9
2022	27	MIX MLE	2 levels	53	1	71	293	70	21	6	2%	1.3	23.2%	7.5%	15.7%	1.7%	2.92	3.05	+1.3
2022	27	MIX RAW	2 levels	53	1	71	293	70	21	6	2%	1.3	23.9%	7.2%	16.7%	2.0%	2.92	3.11	+1.2
2023	28	MIX MLE	2 levels	31	9	72	334	67	30	17	29%	2.3	17.8%	8.3%	9.5%	5.5%	7.12	5.67	-0.9
2023	28	MIX RAW	2 levels	31	9	72	334	67	30	17	29%	2.3	20.1%	9.0%	11.1%	5.1%	7.12	5.56	-0.8
2024	29	MIX MLE	2 levels	32	16	86	388	81	28	10	50%	2.7	17.8%	7.0%	10.9%	2.5%	5.55	3.87	+1.6
2024	29	MIX MLE	2 levels	32	16	86	388	81	28	10	50%	2.7	17.8%	7.0%	10.9%	2.5%	5.55	3.87	+1.6
2024	29	MIX RAW	2 levels	32	16	86	388	81	28	10	50%	2.7	20.9%	7.2%	13.7%	2.6%	5.55	3.70	+1.7
2025	30	MIX MLE	2 levels	28	25	136	579	95	34	21	89%	4.9	14.7%	5.4%	9.3%	4.2%	3.89	4.88	+0.8
2025	30	MIX MLE	2 levels	28	25	136	579	95	34	21	89%	4.9	14.7%	5.4%	9.3%	4.2%	3.89	4.88	+0.8
2025	30	MIX RAW	2 levels	28	25	136	579	95	34	21	89%	4.9	16.4%	5.9%	10.5%	3.6%	3.89	4.46	+1.5
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			122	6	211	906	187	59	27	5%	1.7	20.6%	6.5%	14.1%	3.0%	3.71	3.83	+1.8
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	32	MLB	ARI	8	0	8	34	5	2	1	0%	1.0	13.6%	5.6%	8.0%	3.4%	4.61	4.90	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	33	MLB MLE	ARI	35	0	37	155	20	9	6	0%	1.1	12.8%	6.0%	6.7%	3.7%	4.95	5.18	-0.3
2029	34	MLB MLE	ARI	17	0	18	76	9	5	3	0%	1.1	11.9%	6.5%	5.3%	4.0%	5.27	5.49	-0.2
2028	33	MLB CTX	ARI	13	0	14	59	8	4	2	0%	1.1	12.8%	6.0%	6.7%	3.7%	4.95	5.18	-0.1
2029	34	MLB CTX	ARI	6	0	6	25	3	2	1	0%	1.0	11.9%	6.5%	5.3%	4.0%	5.27	5.49	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		140	6	230	988	197	64	30	4%	1.6	20.0%	6.5%	13.5%	3.0%	3.82	3.91	+1.8
/ 200 IP	—	RAW		122	5	200	858	171	56	26	4%	1.6	20.0%	6.5%	13.5%	3.0%	3.82	3.91	+1.5
Career	—	MLE		295	136	975	4207	792	282	146	46%	3.3	18.8%	6.7%	12.1%	3.5%	4.29	4.27	+1.3
/ 200 IP	—	MLE		60	28	200	863	162	58	30	46%	3.3	18.8%	6.7%	12.1%	3.5%	4.29	4.27	+1.0

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 AAAReno Aces · 102 IPFIP 4.39 → 4.93 (+0.54)K% 16.4% → 14.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.43%	—	×0.860	14.13%
BB% (unintentional) /BF	5.87%	—	×0.900	5.28%
HR / BF /BF	3.52%	÷0.904	×1.100	4.28%

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 81).

Result: FIP 4.39 → 4.93, 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).

2024 AAAEl Paso Chihuahuas · 79 IPFIP 3.69 → 3.87 (+0.18)K% 20.7% → 17.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.72%	—	×0.860	17.82%
BB% (unintentional) /BF	7.73%	—	×0.900	6.96%
HR / BF /BF	2.49%	÷1.078	×1.100	2.54%

Result: FIP 3.69 → 3.87, 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 AAAReno Aces · 59 IPFIP 5.31 → 5.70 (+0.38)K% 20.4% → 17.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.45%	—	×0.860	17.58%
BB% (unintentional) /BF	8.55%	—	×0.900	7.70%
HR / BF /BF	5.20%	÷1.012	×1.100	5.66%

Result: FIP 5.31 → 5.70, 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 AAArkansas Travelers · 84 IPFIP 2.22 → 3.25 (+1.03)K% 27.7% → 22.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.73%	—	×0.810	22.46%
BB% (unintentional) /BF	3.43%	—	×1.100	3.77%
HR / BF /BF	1.87%	÷0.784	×1.200	2.86%

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 57).

Result: FIP 2.22 → 3.25, 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 AAATacoma Rainiers · 47 IPFIP 5.35 → 5.88 (+0.53)K% 29.7% → 26.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.69%	—	×0.880	26.13%
BB% (unintentional) /BF	9.17%	—	×1.050	9.63%
HR / BF /BF	6.55%	÷1.049	×1.100	6.87%

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 110).

Result: FIP 5.35 → 5.88, 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 AABinghamton Rumble Ponies · 105 IPFIP 3.15 → 3.82 (+0.67)K% 23.7% → 19.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.70%	—	×0.810	19.20%
BB% (unintentional) /BF	8.35%	—	×1.100	9.19%
HR / BF /BF	1.81%	÷1.013	×1.200	2.14%

Result: FIP 3.15 → 3.82, 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 AAALas Vegas 51s · 39 IPFIP 5.05 → 5.49 (+0.44)K% 17.8% → 15.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.77%	—	×0.880	15.63%
BB% (unintentional) /BF	9.64%	—	×1.050	10.13%
HR / BF /BF	4.06%	÷1.009	×1.100	4.43%

Result: FIP 5.05 → 5.49, 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).

2017 A+St. Lucie Mets · 146 IPFIP 3.34 → 4.41 (+1.07)K% 22.2% → 17.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.19%	—	×0.770	17.08%
BB% (unintentional) /BF	5.16%	—	×1.150	5.93%
HR / BF /BF	2.66%	÷0.911	×1.250	3.64%

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 82).

Result: FIP 3.34 → 4.41, 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
Nabil Crismatt (OGILVIE)	—	—	—	—	—	3.4%	—	5.28	12.5%	6.3%	55	+0.38	—	—	—
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	80
Todd Redmond R 2015 · 3.86 FIP	30	SW	3.86	15.4%	7.1%	2.1%	.311	—	—	—	—	—	3.21	247	72
Elian Leyva R 2019 · 4.30 FIP	30	SP-	4.30	17.0%	8.5%	2.9%	.323	—	—	—	—	—	3.10	158	66
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	66
Juan Omar Espinoza R 2016 · 4.84 FIP	32	SP-	4.84	8.4%	9.2%	2.4%	.348	—	—	—	—	—	4.81	104	64
Marco Quevedo R 2019 · 5.17 FIP	32	SP-	5.17	13.6%	11.4%	3.2%	.344	—	—	—	—	—	4.13	300	63
Jason Berken R 2016 · 4.54 FIP	32	SW	4.54	11.5%	8.3%	2.5%	.308	—	—	—	—	—	3.37	468	63
Mike Burns R 2009 · 4.90 FIP	31	SP-	4.90	17.2%	6.6%	4.4%	.307	—	—	—	—	—	3.10	104	62
César Valdez R 2017 · 3.91 FIP	32	SP-	3.91	16.4%	5.3%	2.8%	.296	2.65	18.7%	15.4%	162	-1.26	1.91	902	60
Osvaldo Fernandez R 2001 · 4.53 FIP	32	SP-	4.53	9.6%	8.2%	2.2%	.324	—	—	—	—	—	4.25	387	60
Chris Jakubauskas R 2011 · 4.42 FIP	32	SW	4.42	15.7%	7.9%	3.0%	.339	—	—	—	—	—	4.42	165	60
Marco Antonio Duarte R 2019 · 5.03 FIP	32	SW	5.03	12.2%	9.1%	3.3%	.420	—	—	—	—	—	4.07	203	60
Thad Weber R 2017 · 5.25 FIP	32	SP-	5.25	13.2%	4.4%	4.9%	.398	—	—	—	—	—	4.40	378	60
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	59
Ramon Delgado R 2017 · 4.31 FIP	30	SW	4.31	11.2%	4.0%	3.0%	.322	—	—	—	—	—	4.31	135	59
Jesse Estrada R 2016 · 3.80 FIP	32	SU	3.80	10.1%	4.0%	1.9%	.285	4.89	11.2%	5.1%	180	+1.09	3.80	257	57
Mike Fyhrie R 2002 · 3.86 FIP	32	SW	3.86	13.7%	9.0%	1.4%	.267	—	—	—	—	—	3.08	173	57
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	57
Bradin Hagens R 2019 · 5.46 FIP	30	SW	5.46	13.2%	12.6%	3.4%	.303	—	—	—	—	—	3.79	254	57
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	56

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 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	1.7	57	17.7%	6.5%	1.24	4.13
Julio Mateo ('07)	1.6	64	16.2%	6.4%	1.27	3.68
Matt Wise ('08)	1.6	53	18.1%	7.9%	1.14	4.23
Donn Pall ('88-'98, 3 WAR*)	2.5	63	17.1%*	6.2%*	1.20*	3.86*
Cris Carpenter ('88-'96, 2 WAR*)	2.1	69	18.3%*	7.4%*	1.15*	4.29*
Max Leon ('73-'78, 2 WAR*)	1.6	62	18.3%*	7.1%*	1.26*	3.96*
Blas Minor ('97)	1.1	75	19.2%	7.3%	1.16	4.40