Kyle Bischoff

P Wichita Wind Surge

Age 28 RHP 6'2" / 210 lbs AA

Overview

AAPROSPECT

MLB%2%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	25	MIX3 levels	45	61	3.23	2.42	29.9%	9.6%	—	K 23.8% · BB 10.8% · FIP 3.21
2025	26	MIX2 levels	33	38	6.10	3.73	22.4%	16.9%	—	K 19.4% · BB 15.4% · FIP 3.70
2026	27	MIX2 levels	44	47	3.04	3.88	26.4%	13.2%	—	K 21.1% · BB 14.3% · FIP 4.72
2027PROJ	28	MLBMIN	1	1	4.82	4.82	22.5%	14.1%	-0.0
2028PROJ23% MLB	29	MLBMIN	10	10	4.85	4.90	22.4%	13.8%	-0.0
2029PROJ39% MLB	30	MLBMIN	13	14	4.94	5.03	22.1%	13.8%	-0.1

Next 3 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsSpencer Bivens (age 28) · Jim Miller (age 30) · Dustin Molleken (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 125117vR 108

ERA4.82

FIP4.82

K%22.5%

BB%14.1%

K-BB%8.5%

Proj IP59

Value2027 · WAR

Runs saved vs league avg · 59 IP

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	24	ROK MLE	FCL Twins	9	0	23	95	33	9	3	0%	2.5	23.6%	11.8%	11.8%	4.8%	3.18	5.26	—
2023	24	ROK RAW	FCL Twins	9	0	23	95	33	9	3	0%	2.5	34.7%	9.5%	25.3%	3.2%	3.18	3.10	—
2024	25	MIX MLE	3 levels	45	0	61	261	78	25	3	0%	1.4	23.8%	10.8%	13.1%	1.4%	3.23	3.21	—
2024	25	MIX MLE	3 levels	45	0	61	261	78	25	3	0%	1.4	23.8%	10.8%	13.1%	1.4%	3.23	3.21	—
2024	25	MIX RAW	3 levels	45	0	61	261	78	25	3	0%	1.4	29.9%	9.6%	20.3%	1.1%	3.23	2.42	—
2025	26	MIX MLE	2 levels	33	0	38	183	41	31	1	0%	1.2	19.4%	15.4%	4.0%	0.5%	6.10	3.70	—
2025	26	MIX MLE	2 levels	33	0	38	183	41	31	1	0%	1.2	19.4%	15.4%	4.0%	0.5%	6.10	3.70	—
2025	26	MIX RAW	2 levels	33	0	38	183	41	31	1	0%	1.2	22.4%	16.9%	5.5%	0.5%	6.10	3.73	—
2026	27	MIX MLE	2 levels	44	0	47	212	56	28	5	0%	1.1	21.1%	14.3%	6.8%	2.9%	3.04	4.72	—
2026	27	MIX MLE	2 levels	44	0	47	212	56	28	5	0%	1.1	21.1%	14.3%	6.8%	2.9%	3.04	4.72	—
2026	27	MIX RAW	2 levels	44	0	47	212	56	28	5	0%	1.1	26.4%	13.2%	13.2%	2.4%	3.04	3.88	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	MIN	1	0	1	4	1	1	0	0%	1.0	22.5%	14.1%	8.5%	2.7%	4.82	4.82	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	MIN	42	0	44	187	42	26	5	0%	1.1	22.4%	13.8%	8.6%	2.8%	4.85	4.90	-0.2
2029	30	MLB MLE	MIN	35	0	37	155	34	21	5	0%	1.1	22.1%	13.8%	8.4%	3.1%	4.94	5.03	-0.2
2028	29	MLB CTX	MIN	10	0	10	42	9	6	1	0%	1.0	22.4%	13.8%	8.6%	2.8%	4.85	4.90	-0.0
2029	30	MLB CTX	MIN	13	0	14	59	13	8	2	0%	1.1	22.1%	13.8%	8.4%	3.1%	4.94	5.03	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		23	0	24	103	23	14	3	0%	1.1	22.2%	13.8%	8.5%	3.0%	4.90	4.60	-0.0
/ 200 IP	—	RAW		190	0	200	844	188	114	25	0%	1.1	22.2%	13.8%	8.5%	3.0%	4.90	4.60	-0.1
Career	—	MLE		131	0	170	751	165	98	15	0%	1.3	22.0%	13.0%	8.9%	2.0%	3.82	4.02	-0.4
/ 200 IP	—	MLE		154	0	200	885	194	115	18	0%	1.3	22.0%	13.0%	8.9%	2.0%	3.82	4.02	-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.

2026 AAWichita Wind Surge · 46 IPFIP 3.88 → 4.72 (+0.85)K% 26.1% → 21.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.09%	—	×0.810	21.13%
BB% (unintentional) /BF	13.04%	—	×1.100	14.35%
HR / BF /BF	2.42%	÷1.000	×1.200	2.90%

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 100).

Result: FIP 3.88 → 4.72, 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 AAASt. Paul Saints · 34 IPFIP 3.69 → 3.70 (+0.01)K% 22.6% → 19.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.56%	—	×0.860	19.40%
BB% (unintentional) /BF	17.07%	—	×0.900	15.37%
HR / BF /BF	0.61%	÷1.253	×1.100	0.54%

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 151).

Result: FIP 3.69 → 3.70, 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).

2024 A+Cedar Rapids Kernels · 40 IPFIP 2.38 → 3.16 (+0.78)K% 29.7% → 22.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.71%	—	×0.770	22.88%
BB% (unintentional) /BF	9.14%	—	×1.150	10.51%
HR / BF /BF	1.14%	÷1.191	×1.250	1.20%

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 138).

Result: FIP 2.38 → 3.16, 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 AAWichita Wind Surge · 19 IPFIP 2.40 → 3.34 (+0.94)K% 32.1% → 26.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.05%	—	×0.810	25.96%
BB% (unintentional) /BF	10.26%	—	×1.100	11.28%
HR / BF /BF	1.28%	÷0.845	×1.200	1.82%

Result: FIP 2.40 → 3.34, 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 ROKFCL Twins · 23 IPFIP 3.10 → 5.26 (+2.16)K% 34.7% → 23.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.74%	—	×0.680	23.62%
BB% (unintentional) /BF	9.47%	—	×1.250	11.84%
HR / BF /BF	3.16%	÷0.913	×1.400	4.84%

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 83).

Result: FIP 3.10 → 5.26, 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
Kyle Bischoff (OGILVIE)	—	—	—	—	—	2.7%	—	4.96	22.3%	8.5%	81	+0.14	—	—	—
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	88
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	85
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	84
Brandon Cunniff R 2017 · 4.79 FIP	28	SU	4.79	20.1%	11.6%	3.5%	.275	6.80	13.9%	-1.9%	30	+2.01	3.89	180	84
Grant Sides R 2016 · 3.83 FIP	27	SU	3.83	22.4%	11.9%	2.0%	.247	3.31	21.7%	11.9%	47	-0.52	3.31	159	83
Cole McDonald R 2024 · 5.01 FIP	27	SU	5.01	20.9%	12.7%	3.8%	.281	—	—	—	—	—	2.81	153	83
Ronald Peña R 2019 · 4.55 FIP	27	SU	4.55	20.5%	12.6%	2.9%	.355	4.49	16.5%	6.1%	39	-0.06	3.72	187	83
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	83
Jason Boyd R 2000 · 3.68 FIP	27	SU	3.68	19.9%	12.4%	1.2%	.346	4.86	13.9%	2.8%	81	+1.18	3.68	128	82
Cody Satterwhite R 2015 · 3.71 FIP	28	SU	3.71	20.2%	9.8%	1.9%	.333	4.04	17.7%	10.2%	75	+0.33	3.69	147	82
Tyler Yates R 2006 · 4.17 FIP	28	SU	4.17	21.2%	10.6%	2.8%	.254	3.70	20.7%	11.1%	151	-0.47	3.23	248	82
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	82
Jeff Johnson R 2017 · 3.69 FIP	27	SU	3.69	23.6%	15.6%	1.1%	.297	—	—	—	—	—	2.49	160	82
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	81
Keagan Gillies R 2024 · 4.02 FIP	26	SU	4.02	21.1%	13.3%	1.9%	.306	3.91	20.0%	14.4%	74	-0.11	2.93	177	81
Jose Rafael De Paula R 2019 · 4.43 FIP	28	SU	4.43	23.3%	13.6%	2.9%	.313	—	—	—	—	—	2.64	315	81
Wil Browning R 2017 · 4.44 FIP	28	SU	4.44	17.9%	13.1%	2.2%	.359	—	—	—	—	—	2.14	162	81
Erik Davis R 2015 · 3.95 FIP	28	SU	3.95	17.9%	13.5%	1.2%	.363	3.64	21.1%	11.3%	181	-0.31	3.05	227	80
Cody Tucker R 2024 · 4.97 FIP	25	SU	4.97	22.0%	12.0%	4.0%	.272	5.36	15.8%	-1.9%	40	+0.39	4.97	105	80
Jose Veras R 2009 · 5.13 FIP	28	SU	5.13	17.8%	12.4%	3.6%	.228	3.57	26.3%	14.0%	186	-1.56	3.37	422	80

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	0.7	47	22.4%	13.9%	1.09	4.86
John Hudek ('99)	1.0	40	23.0%	13.7%	1.30	4.43
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
Armando Almanza ('05)	1.1	54	24.4%	14.3%	1.43	4.82
Derrick Turnbow ('08)	1.3	64	23.4%	14.8%	0.87	4.30