Osvaldo Bido

P Chicago White Sox

Age 31 RHP 6'3" / 175 lbs MLB

Overview

MLBRP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	28	MIX2 levels	26	18	111	3.88	3.60	25.5%	8.9%	2.4	K 23.8% · BB 8.5% · FIP 3.86
2025	29	MIX2 levels	30	13	97	5.85	5.61	19.4%	9.7%	-1.2	K 18.8% · BB 9.5% · FIP 5.47
2026	30	MLBCWS	11	0	19	6.27	5.62	13.6%	12.3%	-0.2
2027PROJ	31	MLBCWS	8	8	47	5.04	5.24	19.6%	10.7%	0.1
2028PROJ95% MLB	32	MLBCWS	4	4	23	5.32	5.50	18.8%	11.1%	-0.0

Last 3 seasons WAR 1.0 · Next 2 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo48

K%10

xwOBA vs10

CompsElian Leyva (age 30) · Zack Segovia (age 32) · Robert Stock (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 133125vR 116

ERA5.04

FIP5.24

K%19.6%

BB%10.7%

K-BB%8.9%

Proj IP47

Value2027 · WAR

Runs saved vs league avg · 47 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p4894.4

Whiff%

p3723.4%

p1013.6%

xwOBA vs

p100.377

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	21	ROK MLE	DSL Pirates	15	13	51	240	41	36	1	87%	3.4	11.6%	18.8%	-7.1%	0.6%	5.33	4.81	—
2017	21	ROK RAW	DSL Pirates	15	13	51	240	41	36	1	87%	3.4	17.1%	15.0%	2.1%	0.4%	5.33	3.87	—
2019	23	MIX MLE	2 levels	25	25	136	552	107	38	10	100%	5.4	14.4%	8.1%	6.4%	2.3%	3.32	4.17	—
2019	23	MIX RAW	2 levels	25	25	136	552	107	38	10	100%	5.4	19.4%	6.9%	12.5%	1.8%	3.32	3.32	—
2021	25	MIX MLE	2 levels	23	21	101	450	98	37	15	91%	4.4	17.9%	8.8%	9.1%	4.0%	5.33	4.90	—
2021	25	MIX RAW	2 levels	23	21	101	450	98	37	15	91%	4.4	21.8%	8.2%	13.6%	3.3%	5.33	4.19	—
2022	26	AAA MLE	Indianapolis Indians	32	25	111	506	122	64	18	78%	3.5	21.2%	13.3%	7.9%	3.9%	4.53	5.11	—
2022	26	AAA RAW	Indianapolis Indians	32	25	111	506	122	64	18	78%	3.5	24.1%	12.6%	11.5%	3.6%	4.53	4.73	—
2023	27	MIX MLE	2 levels	35	19	113	504	113	50	10	54%	3.2	20.6%	9.3%	11.3%	2.1%	4.92	3.67	+2.3
2023	27	MIX RAW	2 levels	35	19	113	504	113	50	10	54%	3.2	22.4%	9.9%	12.5%	2.0%	4.92	3.58	+2.5
2024	28	MIX MLE	2 levels	26	18	111	463	118	41	13	69%	4.3	23.8%	8.5%	15.3%	3.1%	3.88	3.86	+2.1
2024	28	MIX MLE	2 levels	26	18	111	463	118	41	13	69%	4.3	23.8%	8.5%	15.3%	3.1%	3.88	3.86	+2.1
2024	28	MIX RAW	2 levels	26	18	111	463	118	41	13	69%	4.3	25.5%	8.9%	16.6%	2.8%	3.88	3.60	+2.4
2025	29	MIX MLE	2 levels	30	13	97	444	86	43	22	43%	3.2	18.8%	9.5%	9.3%	5.0%	5.85	5.47	-1.0
2025	29	MIX MLE	2 levels	30	13	97	444	86	43	22	43%	3.2	18.8%	9.5%	9.3%	5.0%	5.85	5.47	-1.0
2025	29	MIX RAW	2 levels	30	13	97	444	86	43	22	43%	3.2	19.4%	9.7%	9.7%	5.0%	5.85	5.61	-1.2
2026	30	MLB MLE	Chicago White Sox	11	0	19	81	11	10	3	0%	1.7	13.6%	12.3%	1.2%	3.6%	6.27	5.51	-0.2
2026	30	MLB MLE	Chicago White Sox	11	0	19	81	11	10	3	0%	1.7	13.6%	12.3%	1.2%	3.6%	6.27	5.51	-0.2
2026	30	MLB RAW	Chicago White Sox	11	0	19	81	11	10	3	0%	1.7	13.6%	12.3%	1.2%	3.7%	6.27	5.62	-0.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			69	28	212	939	190	90	29	41%	3.1	20.2%	9.6%	10.6%	3.1%	5.17	4.36	+0.5
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	31	MLB	CWS	8	8	47	198	39	21	7	100%	5.9	19.6%	10.7%	8.9%	3.8%	5.04	5.24	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	32	MLB MLE	CWS	4	4	24	102	19	11	4	100%	6.0	18.8%	11.1%	7.7%	4.0%	5.32	5.50	-0.0
2028	32	MLB CTX	CWS	4	4	23	97	18	11	4	100%	5.8	18.8%	11.1%	7.7%	4.0%	5.32	5.50	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		73	32	235	1036	208	101	33	44%	3.2	20.1%	9.7%	10.4%	3.2%	5.19	4.38	+0.5
/ 200 IP	—	RAW		62	27	200	881	177	86	28	44%	3.2	20.1%	9.7%	10.4%	3.2%	5.19	4.38	+0.4
Career	—	MLE		197	134	739	3240	604	335	102	68%	3.8	18.6%	10.3%	8.3%	3.1%	4.65	4.56	+2.6
/ 200 IP	—	MLE		53	36	200	876	163	91	27	68%	3.8	18.6%	10.3%	8.3%	3.1%	4.65	4.56	+2.2

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 AAALas Vegas Aviators · 17 IPFIP 4.66 → 4.64 (−0.02)K% 22.2% → 19.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.22%	—	×0.860	19.11%
BB% (unintentional) /BF	11.11%	—	×0.900	10.00%
HR / BF /BF	3.70%	÷1.183	×1.100	3.44%

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 137).

Result: FIP 4.66 → 4.64, 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 AAALas Vegas Aviators · 48 IPFIP 4.51 → 4.99 (+0.48)K% 27.0% → 23.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.96%	—	×0.860	23.19%
BB% (unintentional) /BF	7.84%	—	×0.900	7.06%
HR / BF /BF	4.90%	÷1.001	×1.100	5.39%

Result: FIP 4.51 → 4.99, 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 · 63 IPFIP 3.65 → 3.81 (+0.16)K% 24.3% → 20.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.25%	—	×0.860	20.86%
BB% (unintentional) /BF	10.82%	—	×0.900	9.74%
HR / BF /BF	2.24%	÷1.095	×1.100	2.25%

Result: FIP 3.65 → 3.81, 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).

2022 AAAIndianapolis Indians · 111 IPFIP 4.62 → 5.11 (+0.49)K% 24.1% → 21.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.11%	—	×0.880	21.22%
BB% (unintentional) /BF	12.65%	—	×1.050	13.28%
HR / BF /BF	3.56%	÷1.013	×1.100	3.86%

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 103).

Result: FIP 4.62 → 5.11, 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).

2021 AAAltoona Curve · 94 IPFIP 3.98 → 4.90 (+0.92)K% 22.1% → 17.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.09%	—	×0.810	17.89%
BB% (unintentional) /BF	8.01%	—	×1.100	8.81%
HR / BF /BF	3.16%	÷0.947	×1.200	4.00%

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 89).

Result: FIP 3.98 → 4.90, 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).

2021 AAAIndianapolis Indians · 8 IPFIP 5.77 → 6.03 (+0.26)K% 18.4% → 16.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.42%	—	×0.880	16.21%
BB% (unintentional) /BF	10.53%	—	×1.050	11.05%
HR / BF /BF	5.26%	÷1.096	×1.100	5.28%

Result: FIP 5.77 → 6.03, 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).

2019 AGreensboro Grasshoppers · 112 IPFIP 3.32 → 4.22 (+0.90)K% 19.9% → 14.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.87%	—	×0.740	14.70%
BB% (unintentional) /BF	6.40%	—	×1.180	7.55%
HR / BF /BF	1.99%	÷1.009	×1.300	2.56%

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 102).

Result: FIP 3.32 → 4.22, 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 A+Bradenton Marauders · 24 IPFIP 3.36 → 3.96 (+0.60)K% 17.2% → 13.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.17%	—	×0.770	13.22%
BB% (unintentional) /BF	9.09%	—	×1.150	10.45%
HR / BF /BF	1.01%	÷1.069	×1.250	1.18%

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 114).

Result: FIP 3.36 → 3.96, 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
Osvaldo Bido (OGILVIE)	—	—	—	—	—	3.8%	—	5.50	18.8%	7.7%	24	+0.26	—	—	—
Elian Leyva R 2019 · 4.30 FIP	30	SP-	4.30	17.0%	8.5%	2.9%	.323	—	—	—	—	—	3.10	158	70
Zack Segovia R 2015 · 4.78 FIP	32	SP	4.78	15.0%	8.3%	3.4%	.314	3.33	20.2%	14.3%	39	-1.45	3.33	144	68
Robert Stock R 2021 · 4.18 FIP	31	SW	4.18	23.0%	8.5%	3.5%	.301	7.20	14.3%	0.1%	23	+3.02	2.74	378	65
Reinier Roibal R 2019 · 4.91 FIP	30	SP	4.91	17.5%	11.8%	3.3%	.426	—	—	—	—	—	3.11	133	65
Asher Wojciechowski R 2020 · 5.92 FIP	31	SP-	5.92	18.5%	8.9%	5.9%	.306	4.33	23.6%	15.6%	55	-1.59	3.15	678	64
Mike Burns R 2009 · 4.90 FIP	31	SP-	4.90	17.2%	6.6%	4.4%	.307	—	—	—	—	—	3.10	104	64
Daisuke Matsuzaka R 2012 · 5.55 FIP	31	SP	5.55	19.1%	9.3%	5.2%	.329	3.83	21.1%	9.5%	122	-1.72	3.77	790	63
Wes Obermueller R 2007 · 4.83 FIP	30	SW	4.83	12.6%	11.2%	2.5%	.317	—	—	—	—	—	4.72	308	63
Juan Omar Espinoza R 2015 · 4.81 FIP	31	SP-	4.81	8.9%	6.6%	3.0%	.346	4.84	8.4%	-0.8%	52	+0.03	4.81	104	62
Miguel Ruiz R 2017 · 5.60 FIP	31	SP	5.60	10.6%	11.0%	3.6%	.279	—	—	—	—	—	5.60	117	61
Chris Heston R 2017 · 5.88 FIP	29	SP-	5.88	13.6%	10.0%	4.9%	.368	—	—	—	—	—	3.81	321	61
Derek Eitel R 2017 · 4.72 FIP	29	SP-	4.72	17.2%	16.0%	1.9%	.273	—	—	—	—	—	3.96	138	61
Ariel Prieto R 2000 · 4.24 FIP	30	SP-	4.24	12.8%	8.8%	2.0%	.345	—	—	—	—	—	4.05	340	60
Jose A. Flores R 2018 · 4.77 FIP	29	SP-	4.77	13.7%	10.3%	2.8%	.350	—	—	—	—	—	2.94	237	59
Seth Greisinger R 2004 · 5.38 FIP	29	SP-	5.38	15.5%	6.0%	5.1%	.327	—	—	—	—	—	4.53	219	57
Kodai Senga R 2024 · 4.69 FIP	31	SP	4.69	14.9%	13.8%	2.0%	.324	4.51	24.0%	11.5%	175	-0.18	3.40	352	57
Kohei Arihara R 2022 · 4.58 FIP	29	SP-	4.58	16.4%	7.2%	3.5%	.333	—	—	—	—	—	4.58	135	57
Elih Villanueva R 2017 · 5.48 FIP	31	SP	5.48	14.1%	6.0%	5.1%	.365	—	—	—	—	—	3.83	225	57
Seth Simmons R 2018 · 6.20 FIP	30	SW	6.20	13.3%	10.9%	5.2%	.242	—	—	—	—	—	3.07	251	56
Joe Biagini R 2021 · 4.80 FIP	31	SP	4.80	18.0%	10.6%	3.4%	.309	4.53	16.4%	6.6%	39	-0.27	2.66	624	56

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	1.4	57	20.0%	10.1%	1.27	5.16
Will Cunnane ('04)	1.4	46	18.9%	10.4%	1.25	5.26
Frank Wills ('83-'91, -1 WAR*)	2.2	62	20.5%*	10.2%*	1.27*	5.30*
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*
John Strohmayer ('70-'74, -1 WAR*)	1.6	78	19.6%*	9.2%*	1.42*	5.14*
Joey Wentz ('25)	1.5	76	21.1%	9.9%	1.36	5.57
Jake Faria ('23)	1.0	68	20.9%	10.3%	1.32	4.87