Conner Whittaker

P Lake County Captains

Age 24 RHP 6'0" / 184 lbs A+ peak 0.1 · 2028

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	22	MIX2 levels	35	1	85	2.66	2.93	16.4%	5.7%	—	K 12.2% · BB 6.6% · FIP 3.45
2026	23	MIX3 levels	20	0	31	5.58	3.82	21.7%	7.2%	—	K 17.0% · BB 7.8% · FIP 4.96
2027PROJ	24	MLBCLE	54	0	57	5.07	5.07	12.9%	8.5%	-0.3
2028PROJ43% MLB	25	MLBCLE	31	0	33	4.92	4.88	15.0%	8.4%	-0.1
2029PROJ66% MLB	26	MLBCLE	49	0	51	4.82	4.78	16.3%	8.4%	-0.1

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

Contract

No contract data on file.

Scouting grades · 20-80

Stuff30Control55Command35

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 100%

CompsTroy Neiman (age 24) · Mark Peterson (age 24) · David Reid-Foley (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 129121vR 113

ERA5.07

FIP5.07

K%12.9%

BB%8.5%

K-BB%4.4%

Proj IP57

Value2027 · WAR

Runs saved vs league avg · 57 IP

Grades · Contract

Scouting Grades

STUF3030

CTRL5555

CMD3535

K†3040

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 industry-standard fWAR.

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)
2025	22	MIX MLE	2 levels	35	1	85	336	55	19	3	3%	2.4	12.2%	6.6%	5.6%	1.0%	2.66	3.45	—
2025	22	MIX MLE	2 levels	35	1	85	336	55	19	3	3%	2.4	12.2%	6.6%	5.6%	1.0%	2.66	3.45	—
2025	22	MIX RAW	2 levels	35	1	85	336	55	19	3	3%	2.4	16.4%	5.7%	10.7%	0.9%	2.66	2.93	—
2026	23	MIX MLE	3 levels	20	0	31	138	30	10	4	0%	1.5	17.0%	7.8%	9.2%	4.2%	5.58	4.96	—
2026	23	MIX MLE	3 levels	20	0	31	138	30	10	4	0%	1.5	17.0%	7.8%	9.2%	4.2%	5.58	4.96	—
2026	23	MIX RAW	3 levels	20	0	31	138	30	10	4	0%	1.5	21.7%	7.2%	14.5%	2.9%	5.58	3.82	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	CLE	54	0	57	241	31	20	7	0%	1.1	12.9%	8.5%	4.4%	2.9%	5.07	5.07	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	CLE	74	0	77	326	49	27	10	0%	1.0	15.0%	8.4%	6.6%	2.9%	4.92	4.88	-0.3
2029	26	MLB MLE	CLE	74	0	77	326	53	27	10	0%	1.0	16.3%	8.4%	7.9%	2.9%	4.82	4.78	-0.2
2030	27	MLB MLE	CLE	72	0	76	321	53	27	10	0%	1.1	16.6%	8.5%	8.1%	3.0%	4.79	4.79	-0.2
2031	28	MLB MLE	CLE	70	0	74	311	52	27	10	0%	1.1	16.7%	8.7%	8.0%	3.1%	4.83	4.87	-0.3
2032	29	MLB MLE	CLE	67	0	70	297	49	27	10	0%	1.1	16.4%	8.9%	7.5%	3.2%	4.93	5.00	-0.4
2033	30	MLB MLE	CLE	63	0	66	280	45	26	10	0%	1.1	16.1%	9.2%	6.9%	3.4%	5.08	5.17	-0.5
2028	25	MLB CTX	CLE	31	0	33	139	21	12	4	0%	1.1	15.0%	8.4%	6.6%	2.9%	4.92	4.88	-0.1
2029	26	MLB CTX	CLE	49	0	51	215	35	18	6	0%	1.0	16.3%	8.4%	7.9%	2.9%	4.82	4.78	-0.1
2030	27	MLB CTX	CLE	56	0	59	249	41	21	7	0%	1.1	16.6%	8.5%	8.1%	3.0%	4.79	4.79	-0.2
2031	28	MLB CTX	CLE	59	0	62	262	44	23	8	0%	1.1	16.7%	8.7%	8.0%	3.1%	4.83	4.87	-0.2
2032	29	MLB CTX	CLE	59	0	62	262	43	23	8	0%	1.1	16.4%	8.9%	7.5%	3.2%	4.93	5.00	-0.3
2033	30	MLB CTX	CLE	57	0	60	253	41	23	9	0%	1.1	16.1%	9.2%	6.9%	3.4%	5.08	5.17	-0.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		311	0	326	1378	224	120	43	0%	1.0	16.3%	8.7%	7.5%	3.1%	4.89	4.54	+0.0
/ 200 IP	—	RAW		190	0	200	844	137	74	26	0%	1.1	16.3%	8.7%	7.5%	3.1%	4.89	4.54	+0.0
Career	—	MLE		55	1	115	474	64	33	9	2%	2.1	13.6%	7.0%	6.6%	1.9%	3.43	3.89	-1.8
/ 200 IP	—	MLE		95	2	200	822	112	57	16	2%	2.1	13.6%	7.0%	6.6%	1.9%	3.43	3.89	-0.8

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
Conner Whittaker (OGILVIE)	—	—	5.07	12.9%	8.5%	2.9%	—	4.82	16.0%	7.5%	230	-0.25	—	—	—
Troy Neiman R 2015 · 4.54 FIP	24	SU	4.54	13.1%	8.5%	2.7%	.287	4.47	19.7%	11.7%	135	-0.07	4.03	199	94
Mark Peterson R 2015 · 4.89 FIP	24	SU	4.89	11.5%	8.5%	3.1%	.277	4.71	15.9%	5.6%	112	-0.18	4.65	185	93
David Reid-Foley R 2015 · 4.68 FIP	24	SU	4.68	13.8%	8.8%	3.0%	.308	6.54	16.2%	7.6%	33	+1.86	4.68	110	93
Robbie Aviles R 2016 · 4.69 FIP	24	SU	4.69	11.5%	8.7%	2.6%	.343	3.63	12.2%	6.5%	58	-1.06	3.63	172	90
Alejandro Barraza R 2015 · 4.31 FIP	24	SU	4.31	13.2%	8.3%	2.3%	.291	4.64	13.1%	4.7%	93	+0.33	3.27	174	89
David Berg R 2017 · 4.57 FIP	24	SU	4.57	14.1%	8.1%	3.0%	.293	—	—	—	—	—	2.41	123	89
Pedro Echemendia R 2016 · 4.79 FIP	25	SU	4.79	15.0%	8.0%	3.5%	.286	4.31	11.0%	5.9%	72	-0.48	4.31	141	88
Raul Fernandez R 2015 · 4.03 FIP	25	SU	4.03	14.2%	9.4%	1.7%	.285	4.79	16.1%	5.0%	103	+0.76	4.03	165	88
Devin Burke R 2015 · 4.27 FIP	24	SU	4.27	11.7%	7.0%	2.3%	.275	4.20	13.7%	8.8%	87	-0.07	4.20	149	88
Jonathan Brand R 2024 · 4.61 FIP	24	SU	4.61	13.6%	10.6%	2.4%	.284	4.87	22.0%	11.9%	115	+0.26	3.34	198	88
Jack Jasiak R 2024 · 4.59 FIP	23	SU	4.59	15.2%	8.6%	3.1%	.332	3.39	22.3%	15.0%	126	-1.20	3.24	262	87
Gabe Friese R 2018 · 4.71 FIP	23	SU	4.71	10.3%	7.1%	2.9%	.291	—	—	—	—	—	3.64	115	87
Jordan Piche R 2016 · 4.19 FIP	24	SU	4.19	12.3%	6.9%	2.3%	.309	—	—	—	—	—	3.40	115	87
Josh Uhen R 2016 · 4.09 FIP	24	SU	4.09	16.1%	9.7%	2.0%	.303	4.02	15.6%	1.2%	82	-0.07	3.17	185	86
Trey Cochran-Gill R 2016 · 4.09 FIP	23	SU	4.09	15.3%	7.9%	2.4%	.294	4.61	14.5%	4.4%	112	+0.52	3.51	258	86
John Kuchno R 2015 · 5.44 FIP	24	SU	5.44	8.9%	8.7%	3.6%	.247	5.14	10.2%	1.6%	84	-0.30	2.43	162	86
Duaner Sanchez R 2004 · 4.38 FIP	24	SU	4.38	12.9%	7.3%	2.6%	.273	3.51	19.7%	11.5%	137	-0.87	3.19	287	86
Brian Glowicki R 2019 · 4.41 FIP	24	SU	4.41	16.4%	8.3%	3.0%	.275	3.92	26.0%	14.1%	62	-0.49	2.31	189	86
Scott Burke R 2018 · 4.55 FIP	24	SW	4.55	14.2%	7.7%	3.0%	.316	5.27	14.9%	6.7%	61	+0.72	4.55	119	85
Jeff Bennett R 2004 · 4.94 FIP	24	SU	4.94	14.2%	7.6%	3.8%	.281	4.36	24.6%	21.1%	13	-0.58	3.62	228	85

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 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	2.5	71	15.8%	8.7%	1.19	4.91
Matt Whiteside ('05)	2.0	58	14.5%	8.8%	1.15	5.23
Carlos Almánzar ('05)	1.2	60	16.3%	7.9%	1.32	4.82
Lance Painter ('03)	2.2	56	16.7%	9.0%	1.32	5.24
Dave Tomlin ('72-'86, -2 WAR*)	2.6	64	18.0%*	8.6%*	0.87*	4.57*
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Cris Carpenter ('88-'96, 2 WAR*)	2.1	69	18.3%*	7.4%*	1.15*	4.29*