Yunior Tur

P Las Vegas Aviators

Age 27 RHP 6'6" / 208 lbs AAA

Overview

AAARP40-MANROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	24	AOAK	27	10	90	4.88	3.66	23.1%	8.8%	—	K 17.1% · BB 10.4% · FIP 4.51
2025	25	MIX3 levels	30	26	126	3.29	3.19	24.5%	11.3%	—	K 19.6% · BB 12.4% · FIP 3.86
2026	26	MIX2 levels	42	6	74	7.66	5.21	25.5%	14.6%	-0.6	K 22.5% · BB 13.4% · FIP 5.20
2027PROJ	27	MLBOAK	45	0	47	5.01	5.21	22.1%	13.9%	-0.3
2028PROJ79% MLB	28	MLBOAK	39	0	41	5.09	5.20	22.1%	13.6%	-0.3
2029PROJ84% MLB	29	MLBOAK	34	0	36	5.19	5.30	21.6%	13.5%	-0.3

Last 3 seasons WAR -0.6 · Next 3 projected WAR -0.9Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo55

K%21

xwOBA vs10

Career WAR0.0 WAR median (P10 -0.3 / P90 0.8, comp-based) · star 0% · didn't stick 95%

CompsGrant Black (age 27) · Carlos Torres (age 27) · Tyler Yates (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 132124vR 116

ERA5.01

FIP5.21

K%22.1%

BB%13.9%

K-BB%8.2%

Proj IP68

Value2027 · WAR

Runs saved vs league avg · 68 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p5594.9

Whiff%

p8030.0%

p2117.9%

xwOBA vs

p100.438

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)
2023	23	MIX MLE	2 levels	21	1	37	183	53	24	5	5%	1.8	22.4%	16.0%	6.5%	4.4%	6.03	5.67	—
2023	23	MIX RAW	2 levels	21	1	37	183	53	24	5	5%	1.8	29.0%	13.1%	15.8%	2.7%	6.03	3.93	—
2024	24	A MLE	Stockton Ports	27	10	90	398	92	35	10	37%	3.3	17.1%	10.4%	6.7%	2.8%	4.88	4.51	—
2024	24	A MLE	Stockton Ports	27	10	90	398	92	35	10	37%	3.3	17.1%	10.4%	6.7%	2.8%	4.88	4.51	—
2024	24	A RAW	Stockton Ports	27	10	90	398	92	35	10	37%	3.3	23.1%	8.8%	14.3%	2.5%	4.88	3.66	—
2025	25	MIX MLE	3 levels	30	26	126	531	130	60	7	87%	4.2	19.6%	12.4%	7.2%	1.6%	3.29	3.86	—
2025	25	MIX MLE	3 levels	30	26	126	531	130	60	7	87%	4.2	19.6%	12.4%	7.2%	1.6%	3.29	3.86	—
2025	25	MIX RAW	3 levels	30	26	126	531	130	60	7	87%	4.2	24.5%	11.3%	13.2%	1.3%	3.29	3.19	—
2026	26	MIX MLE	2 levels	42	6	74	357	91	52	14	14%	1.8	22.5%	13.4%	9.1%	4.2%	7.66	5.20	-0.6
2026	26	MIX MLE	2 levels	42	6	74	357	91	52	14	14%	1.8	22.5%	13.4%	9.1%	4.2%	7.66	5.20	-0.6
2026	26	MIX RAW	2 levels	42	6	74	357	91	52	14	14%	1.8	25.5%	14.6%	10.9%	3.9%	7.66	5.21	-0.6
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			8	0	13	78	14	11	6	0%	1.6	17.9%	14.1%	3.8%	7.7%	16.34	9.65	-0.7
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	OAK	45	0	47	198	44	28	7	0%	1.0	22.1%	13.9%	8.2%	3.3%	5.01	5.21	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	OAK	49	0	51	217	48	29	7	0%	1.0	22.1%	13.6%	8.5%	3.4%	5.09	5.20	-0.4
2029	29	MLB MLE	OAK	41	0	43	182	39	24	6	0%	1.0	21.6%	13.5%	8.1%	3.5%	5.19	5.30	-0.4
2028	28	MLB CTX	OAK	39	0	41	173	38	24	6	0%	1.1	22.1%	13.6%	8.5%	3.4%	5.09	5.20	-0.3
2029	29	MLB CTX	OAK	34	0	36	152	33	20	5	0%	1.1	21.6%	13.5%	8.1%	3.5%	5.19	5.30	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		81	0	89	402	85	55	17	0%	1.1	21.1%	13.6%	7.5%	4.3%	6.73	5.40	-0.9
/ 200 IP	—	RAW		181	0	200	899	190	123	38	0%	1.1	21.1%	13.6%	7.5%	4.3%	6.73	5.40	-2.0
Career	—	MLE		120	43	327	1469	294	184	42	36%	2.7	20.0%	12.5%	7.4%	2.9%	5.03	4.59	-1.5
/ 200 IP	—	MLE		73	26	200	898	179	113	26	36%	2.7	20.0%	12.5%	7.4%	2.9%	5.03	4.59	-2.8

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 AAALas Vegas Aviators · 61 IPFIP 4.20 → 4.50 (+0.30)K% 27.6% → 23.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.60%	—	×0.860	23.73%
BB% (unintentional) /BF	14.70%	—	×0.900	13.23%
HR / BF /BF	2.87%	÷1.000	×1.100	3.15%

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 100).

Result: FIP 4.20 → 4.50, 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).

2025 AAMidland RockHounds · 68 IPFIP 3.19 → 3.88 (+0.69)K% 26.3% → 21.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.33%	—	×0.810	21.33%
BB% (unintentional) /BF	12.10%	—	×1.100	13.31%
HR / BF /BF	1.42%	÷1.043	×1.200	1.64%

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 109).

Result: FIP 3.19 → 3.88, 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).

2025 A+Lansing Lugnuts · 45 IPFIP 3.10 → 3.92 (+0.82)K% 21.9% → 16.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.94%	—	×0.770	16.89%
BB% (unintentional) /BF	10.20%	—	×1.150	11.73%
HR / BF /BF	1.02%	÷0.921	×1.250	1.39%

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 84).

Result: FIP 3.10 → 3.92, 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 AAALas Vegas Aviators · 13 IPFIP 3.49 → 3.56 (+0.07)K% 24.1% → 20.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.07%	—	×0.860	20.70%
BB% (unintentional) /BF	11.11%	—	×0.900	10.00%
HR / BF /BF	1.85%	÷1.183	×1.100	1.72%

Result: FIP 3.49 → 3.56, 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 AStockton Ports · 90 IPFIP 3.64 → 4.51 (+0.87)K% 23.1% → 17.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.12%	—	×0.740	17.11%
BB% (unintentional) /BF	8.79%	—	×1.180	10.38%
HR / BF /BF	2.51%	÷1.164	×1.300	2.81%

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 133).

Result: FIP 3.64 → 4.51, 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 AStockton Ports · 32 IPFIP 4.03 → 5.67 (+1.64)K% 30.3% → 22.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.32%	—	×0.740	22.44%
BB% (unintentional) /BF	13.55%	—	×1.180	15.99%
HR / BF /BF	3.23%	÷0.945	×1.300	4.44%

Result: FIP 4.03 → 5.67, 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 ROKACL Athletics · 6 IPFIP 2.65 → 3.57 (+0.92)K% 21.4% → 14.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.43%	—	×0.680	14.57%
BB% (unintentional) /BF	10.71%	—	×1.250	13.39%
HR / BF /BF	0.00%	÷0.989	×1.400	0.00%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 98).

Result: FIP 2.65 → 3.57, 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
Yunior Tur (OGILVIE)	—	—	—	—	—	3.3%	—	5.25	21.9%	8.3%	94	+0.04	—	—	—
Grant Black R 2021 · 4.46 FIP	27	SW	4.46	19.0%	13.9%	2.2%	.327	5.35	15.0%	3.8%	156	+0.89	4.46	215	77
Carlos Torres R 2010 · 4.50 FIP	27	SW	4.50	18.3%	11.3%	2.8%	.438	3.89	20.1%	13.2%	139	-0.61	2.89	604	73
Tyler Yates R 2004 · 4.47 FIP	26	SW	4.47	15.4%	9.6%	2.6%	.333	3.64	22.5%	13.5%	116	-0.83	3.23	248	73
Noah Denoyer R 2023 · 5.24 FIP	25	SW	5.24	22.2%	14.0%	4.1%	.306	—	—	—	—	—	3.26	181	73
Jake Stinnett R 2019 · 4.23 FIP	27	SW	4.23	21.1%	12.2%	2.5%	.301	—	—	—	—	—	2.88	356	72
Taylor Grover R 2017 · 4.93 FIP	26	SW	4.93	20.0%	10.9%	3.9%	.320	4.89	16.2%	8.9%	14	-0.04	3.68	239	72
Cameron Foster R 2024 · 4.83 FIP	25	SW	4.83	17.4%	11.5%	3.2%	.321	3.09	25.5%	17.5%	60	-1.74	2.50	213	71
Sean Isaac R 2018 · 4.20 FIP	25	SW	4.20	24.2%	16.3%	2.0%	.292	—	—	—	—	—	3.27	155	71
Colby Morris R 2022 · 5.76 FIP	25	SW	5.76	16.2%	11.8%	4.6%	.268	—	—	—	—	—	4.11	105	71
Spencer Bivens R 2022 · 4.86 FIP	28	SU	4.86	19.8%	13.5%	3.1%	.265	3.85	18.1%	10.3%	272	-1.01	3.52	391	70
Luis Mateo R 2017 · 4.60 FIP	27	SU	4.60	17.6%	11.2%	2.9%	.309	5.55	8.6%	-4.8%	43	+0.95	3.48	160	70
Logan Taylor R 2018 · 4.79 FIP	26	SU	4.79	17.2%	12.1%	2.9%	.316	—	—	—	—	—	3.55	300	70
Tyler Davis R 2024 · 6.02 FIP	25	SU	6.02	21.0%	18.8%	4.2%	.317	3.78	21.9%	10.2%	111	-2.24	3.20	137	70
Emmanuel Chapman R 2024 · 4.08 FIP	25	SW	4.08	19.7%	10.6%	2.4%	.256	4.52	17.8%	1.3%	117	+0.44	3.81	198	69
Jeremy Guthrie R 2006 · 4.92 FIP	27	SU	4.92	15.1%	15.1%	2.1%	.349	4.57	14.8%	8.1%	566	-0.35	4.08	1,834	69
Jarret Whorff R 2024 · 4.04 FIP	25	SU	4.04	18.9%	10.2%	2.3%	.271	4.52	19.6%	12.0%	123	+0.48	3.88	257	69
John Ely R 2011 · 4.38 FIP	25	SW	4.38	23.2%	10.7%	3.4%	.286	—	—	—	—	—	4.20	113	69
Thad Weber R 2013 · 5.18 FIP	28	SU	5.18	16.4%	13.1%	3.3%	.244	4.52	12.2%	6.0%	308	-0.66	4.40	378	69
Linder Castro R 2017 · 4.63 FIP	26	SW	4.63	18.9%	10.7%	3.2%	.305	5.68	21.1%	6.3%	62	+1.05	4.23	279	69
Ben Gross R 2022 · 4.85 FIP	25	SW	4.85	17.6%	15.6%	2.3%	.303	—	—	—	—	—	4.05	118	69

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	0.9	58	21.6%	13.7%	1.49	5.90
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Paul Spoljaric ('00)	1.4	69	22.1%	12.9%	1.33	5.52
Armando Almanza ('05)	1.1	54	24.4%	14.3%	1.43	4.82
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
Frank LaCorte ('75-'84, -4 WAR*)	2.5	61	25.0%*	12.0%*	1.43*	5.83*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*