José Ruiz

P Round Rock Express

Age 32 RHP 6'1" / 245 lbs AAA peak 0.2 · 2027

Overview

AAARP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	28	MIX2 levels	55	5	71	5.22	4.81	22.4%	9.9%	-0.2	K 20.9% · BB 9.6% · FIP 4.90
2024	29	MIX2 levels	62	0	62	3.34	3.81	25.1%	7.3%	0.5	K 24.0% · BB 7.4% · FIP 3.90
2025	30	MIX2 levels	47	0	49	4.74	3.26	22.0%	7.7%	0.8	K 19.9% · BB 7.3% · FIP 3.45
2026	31	No MLB games played
2027PROJ	32	MLBATL	3	0	3	4.42	4.28	22.4%	8.5%	0.0
2028PROJ37% MLB	33	MLBATL	10	0	10	4.50	4.56	21.6%	8.9%	-0.0

Last 3 seasons WAR 1.1 · Next 2 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2025

FB Velo67

xwOBA vs40

K%28

CompsHirokazu Sawamura (age 33) · Jumbo Diaz (age 32) · Mike Broadway (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 115106vR 98

ERA4.42

FIP4.28

K%22.4%

BB%8.5%

K-BB%13.9%

Proj IP33

Value2027 · WAR

Runs saved vs league avg · 33 IP

Grades · Statcast · Contract

Scouting Grades

K†5555

Statcast Percentiles

FB Velo

p6795.7

Whiff%

p6026.8%

p2819.0%

xwOBA vs

p400.323

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)
2016	21	MIX MLE	2 levels	2	0	2	8	2	3	0	0%	0.8	25.0%	37.5%	-12.5%	0.0%	0.00	5.74	—
2016	21	MIX RAW	2 levels	2	0	2	8	2	3	0	0%	0.8	25.0%	37.5%	-12.5%	0.0%	0.00	6.10	—
2017	22	MIX MLE	2 levels	45	0	51	228	46	26	7	0%	1.1	15.5%	12.8%	2.6%	4.2%	5.86	5.75	-0.7
2017	22	MIX RAW	2 levels	45	0	51	228	46	26	7	0%	1.1	20.2%	11.4%	8.8%	3.1%	5.86	4.62	-0.0
2018	23	MIX MLE	3 levels	49	0	63	258	83	26	5	0%	1.3	25.9%	10.8%	15.2%	2.1%	3.14	3.43	+0.8
2018	23	MIX RAW	3 levels	49	0	63	258	83	26	5	0%	1.3	32.2%	10.1%	22.1%	1.9%	3.14	2.73	+1.4
2019	24	MIX MLE	2 levels	51	1	54	256	50	29	6	2%	1.1	18.8%	11.5%	7.4%	2.3%	4.47	4.23	+0.2
2019	24	MIX RAW	2 levels	51	1	54	256	50	29	6	2%	1.1	19.5%	11.3%	8.2%	2.3%	4.47	4.30	+0.2
2020	25	MLB MLE	Chicago White Sox	5	0	4	14	5	0	1	0%	0.8	35.7%	0.0%	35.7%	7.1%	2.25	4.00	+0.0
2020	25	MLB RAW	Chicago White Sox	5	0	4	14	5	0	1	0%	0.8	35.7%	0.0%	35.7%	7.1%	2.25	3.85	+0.0
2021	26	MLB MLE	Chicago White Sox	59	0	65	271	63	24	8	0%	1.1	23.2%	8.9%	14.4%	2.9%	3.05	3.85	+0.5
2021	26	MLB RAW	Chicago White Sox	59	0	65	271	63	24	8	0%	1.1	23.2%	8.9%	14.4%	3.0%	3.05	3.87	+0.5
2022	27	MLB MLE	Chicago White Sox	63	0	61	265	68	33	9	0%	1.0	25.7%	12.5%	13.2%	3.3%	4.60	4.34	+0.1
2022	27	MLB RAW	Chicago White Sox	63	0	61	265	68	33	9	0%	1.0	25.7%	12.5%	13.2%	3.4%	4.60	4.42	+0.1
2023	28	MIX MLE	2 levels	55	5	71	322	72	32	13	9%	1.3	20.9%	9.6%	11.4%	4.3%	5.22	4.90	-0.3
2023	28	MIX RAW	2 levels	55	5	71	322	72	32	13	9%	1.3	22.4%	9.9%	12.4%	4.0%	5.22	4.81	-0.2
2024	29	MIX MLE	2 levels	62	0	62	259	65	19	9	0%	1.0	24.0%	7.4%	16.6%	3.4%	3.34	3.90	+0.5
2024	29	MIX MLE	2 levels	62	0	62	259	65	19	9	0%	1.0	24.0%	7.4%	16.6%	3.4%	3.34	3.90	+0.5
2024	29	MIX RAW	2 levels	62	0	62	259	65	19	9	0%	1.0	25.1%	7.3%	17.8%	3.5%	3.34	3.81	+0.5
2025	30	MIX MLE	2 levels	47	0	49	209	46	16	4	0%	1.0	19.9%	7.3%	12.6%	2.0%	4.74	3.45	+0.6
2025	30	MIX MLE	2 levels	47	0	49	209	46	16	4	0%	1.0	19.9%	7.3%	12.6%	2.0%	4.74	3.45	+0.6
2025	30	MIX RAW	2 levels	47	0	49	209	46	16	4	0%	1.0	22.0%	7.7%	14.4%	1.9%	4.74	3.26	+0.8
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			282	2	287	1276	284	128	46	1%	1.0	22.3%	10.0%	12.2%	3.6%	4.62	4.54	+0.0
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	32	MLB	ATL	3	0	3	13	3	1	0	0%	1.0	22.4%	8.5%	13.9%	3.0%	4.42	4.28	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	33	MLB MLE	ATL	25	0	26	111	24	10	4	0%	1.1	21.6%	8.9%	12.6%	3.2%	4.50	4.56	-0.0
2028	33	MLB CTX	ATL	10	0	10	42	9	4	1	0%	1.0	21.6%	8.9%	12.6%	3.2%	4.50	4.56	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		291	2	296	1317	293	132	47	1%	1.0	22.2%	10.0%	12.2%	3.6%	4.61	4.46	+0.3
/ 200 IP	—	RAW		197	1	200	889	198	89	32	1%	1.0	22.2%	10.0%	12.2%	3.6%	4.61	4.46	+0.2
Career	—	MLE		438	6	481	2090	460	212	66	1%	1.1	22.0%	10.1%	11.9%	3.1%	4.23	4.25	+0.0
/ 200 IP	—	MLE		182	2	200	868	191	88	27	1%	1.1	22.0%	10.1%	11.9%	3.1%	4.23	4.25	+0.0

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 AAARound Rock Express · 33 IPFIP 2.19 → 2.49 (+0.30)K% 23.8% → 20.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.85%	—	×0.860	20.51%
BB% (unintentional) /BF	5.38%	—	×0.900	4.85%
HR / BF /BF	0.77%	÷0.913	×1.100	0.93%

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 83).

Result: FIP 2.19 → 2.49, 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).

2024 AAALehigh Valley IronPigs · 11 IPFIP 2.70 → 3.12 (+0.42)K% 31.0% → 26.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.95%	—	×0.860	26.62%
BB% (unintentional) /BF	7.14%	—	×0.900	6.43%
HR / BF /BF	2.38%	÷0.989	×1.100	2.65%

Result: FIP 2.70 → 3.12, 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 · 26 IPFIP 3.43 → 3.76 (+0.33)K% 28.7% → 24.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.70%	—	×0.860	24.68%
BB% (unintentional) /BF	10.43%	—	×0.900	9.39%
HR / BF /BF	2.61%	÷1.012	×1.100	2.84%

Result: FIP 3.43 → 3.76, 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 AAACharlotte Knights · 14 IPFIP 2.44 → 2.78 (+0.34)K% 25.9% → 22.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.86%	—	×0.880	22.76%
BB% (unintentional) /BF	12.07%	—	×1.050	12.67%
HR / BF /BF	0.00%	÷1.212	×1.100	0.00%

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 142).

Result: FIP 2.44 → 2.78, 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 AABirmingham Barons · 45 IPFIP 2.41 → 3.17 (+0.76)K% 29.9% → 24.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.89%	—	×0.810	24.21%
BB% (unintentional) /BF	9.78%	—	×1.100	10.76%
HR / BF /BF	1.09%	÷0.949	×1.200	1.37%

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 90).

Result: FIP 2.41 → 3.17, 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).

2018 A+Winston-Salem Dash · 13 IPFIP 2.86 → 4.33 (+1.47)K% 41.5% → 32.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	41.51%	—	×0.770	31.96%
BB% (unintentional) /BF	9.43%	—	×1.150	10.85%
HR / BF /BF	3.77%	÷1.014	×1.250	4.65%

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 2.86 → 4.33, 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+Lake Elsinore Storm · 50 IPFIP 4.53 → 5.75 (+1.22)K% 20.1% → 15.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.09%	—	×0.770	15.47%
BB% (unintentional) /BF	11.16%	—	×1.150	12.83%
HR / BF /BF	3.12%	÷0.921	×1.250	4.24%

Result: FIP 4.53 → 5.75, 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
José Ruiz (OGILVIE)	—	—	4.28	22.4%	8.5%	3.0%	—	4.56	21.6%	12.6%	26	+0.28	—	—	—
Hirokazu Sawamura R 2021 · 4.48 FIP	33	SU	4.48	26.2%	11.2%	4.0%	.263	4.02	18.1%	6.8%	51	-0.46	4.02	104	82
Jumbo Diaz R 2016 · 3.85 FIP	32	SU	3.85	22.3%	9.2%	2.7%	.247	3.28	23.0%	13.8%	141	-0.57	2.80	319	82
Mike Broadway R 2018 · 4.65 FIP	31	SU	4.65	23.0%	10.6%	3.9%	.282	—	—	—	—	—	1.74	195	80
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	79
Dale Thayer R 2013 · 3.62 FIP	32	SU	3.62	23.7%	7.4%	2.9%	.287	3.85	20.6%	15.0%	103	+0.23	2.75	239	76
Arcenio Leon R 2019 · 3.61 FIP	32	SU	3.61	21.4%	8.1%	2.4%	.314	—	—	—	—	—	3.00	115	76
Mark Serrano R 2017 · 3.56 FIP	31	SU	3.56	21.9%	6.4%	2.7%	.240	5.25	20.2%	12.3%	42	+1.69	3.16	120	76
Jose Manuel Lopez R 2017 · 3.61 FIP	32	SU	3.61	20.4%	10.0%	1.8%	.331	6.14	17.9%	3.7%	41	+2.53	3.50	170	76
Tony Barnette R 2016 · 3.05 FIP	32	SU	3.05	19.9%	6.1%	1.6%	.281	3.26	23.4%	17.0%	84	+0.21	2.61	144	75
James Hoyt R 2019 · 3.45 FIP	32	SU	3.45	22.2%	9.9%	1.8%	.355	5.63	22.1%	10.4%	50	+2.18	1.61	312	75
Jean Machi R 2014 · 3.33 FIP	32	SU	3.33	20.5%	6.0%	2.2%	.225	4.34	17.8%	10.6%	186	+1.01	2.16	306	74
Jose Veras R 2013 · 3.51 FIP	32	SU	3.51	23.6%	8.3%	2.5%	.234	4.28	21.9%	10.2%	65	+0.77	3.37	422	74
Jared Burton R 2013 · 3.20 FIP	32	SU	3.20	21.7%	6.0%	2.1%	.279	3.92	18.4%	10.0%	78	+0.72	3.09	367	74
Santiago Casilla R 2012 · 3.98 FIP	32	SU	3.98	20.2%	6.6%	3.2%	.246	3.23	21.6%	13.7%	166	-0.75	2.76	647	74
Sergio Santos R 2015 · 4.17 FIP	32	SU	4.17	24.7%	8.2%	3.9%	.283	—	—	—	—	—	1.36	178	73
Josh Fields R 2018 · 3.48 FIP	32	SU	3.48	21.4%	6.5%	2.5%	.224	7.56	18.9%	9.5%	25	+4.08	1.80	330	73
Chris Hatcher R 2017 · 4.31 FIP	32	SU	4.31	24.5%	7.4%	4.3%	.291	5.32	18.0%	8.4%	36	+1.01	2.51	246	73
Adrian Ramirez R 2019 · 4.29 FIP	31	SU	4.29	21.7%	6.3%	4.0%	.327	—	—	—	—	—	3.04	137	73
Jeff Fulchino R 2011 · 4.44 FIP	31	SU	4.44	20.4%	11.1%	3.0%	.302	—	—	—	—	—	3.36	178	72
John Axford R 2015 · 3.20 FIP	32	SU	3.20	24.8%	11.2%	1.4%	.333	3.97	21.5%	11.1%	141	+0.77	1.90	518	72

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	49	22.2%	10.1%	1.36	4.59
Buck Farmer ('24)	2.6	51	21.6%	10.5%	1.24	4.71
Sam Long ('25)	1.1	42	19.5%	9.7%	1.28	4.65
J.J. Hoover ('18)	1.4	57	23.8%	11.4%	1.42	4.17
Bill Scherrer ('82-'88, 1 WAR*)	1.6	62	20.7%*	10.2%*	1.19*	4.44*
Bill Pleis ('61-'66, -0 WAR*)	1.4	56	19.7%*	9.8%*	1.15*	4.53*
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*