Cam Schlittler

P New York Yankees

Age 26 RHP 6'6" / 215 lbs MLB Svc 1.0 · Ctrl thru 2031 peak 5.0 · 2027

Overview

MLBSP40-MANPre-ArbFA 2032

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	MIX3 levels	25	23	121	3.36	2.99	29.8%	10.6%	—	K 23.4% · BB 11.5% · FIP 3.89
2025	24	MIX3 levels	29	28	150	2.89	2.84	29.8%	9.3%	4.8	K 27.0% · BB 9.4% · FIP 3.06
2026	25	MLBNYY	33	33	194	1.95	2.46	31.4%	6.4%	7.4
2027PROJ	26	MLBNYY	28	28	170	2.98	3.05	31.2%	7.3%	5.0
2028PROJ95% MLB	27	MLBNYY	24	24	141	3.14	3.18	31.2%	7.4%	4.1
2029PROJ95% MLB	28	MLBNYY	22	22	131	3.22	3.27	31.1%	7.5%	3.6

Last 3 seasons WAR 12.2 · Next 3 projected WAR 12.6Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2031Service1.477First FA2032

2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Arb-1$8M2030Arb-2$12M2031Arb-3$15M

Skills · percentileStatcast 2026

FB Velo90

K%90

xwOBA vs90

Form1.20 ERA (proj 2.98) · K 34.5% (proj 31.2%) · BB 6.4% (proj 7.3%) ▲ last 60d · 30 IP through Oct 27

CompsHunter Brown (age 25) · Logan Gilbert (age 26) · George Kirby (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 8476vR 68

ERA2.98

FIP3.05

K%31.2%

BB%7.3%

K-BB%23.9%

Proj IP170

Value2027 · WAR

Runs saved vs league avg · 170 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$109M ctrl surplus

Statcast · Contract

Statcast Percentiles

FB Velo

p9098.0

Whiff%

p7629.4%

p9031.4%

xwOBA vs

p900.262

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status Pre-Arb

MLB Debut 2025

Service 1.477 yrs.days

Team Control Through 2031

First FA Year 2032

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Pre-Arb	$0.8M	+5.0	$60M	+$59M
2028	Pre-Arb	$0.8M	+4.1	$43M	+$42M
2029	Arb-1	$8M	+3.6	$32M	+$25M
2030	Arb-2	$12M	+3.1	$23M	+$14M
2031	Arb-3	$15M	+2.5	$15M	+$5M
Totals		$38M		$172M	+$144M

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	22	MIX MLE	3 levels	14	13	46	205	50	21	4	93%	3.3	17.6%	13.8%	3.7%	2.6%	4.11	4.80	—
2023	22	MIX RAW	3 levels	14	13	46	205	50	21	4	93%	3.3	24.4%	10.2%	14.1%	2.0%	4.11	3.43	—
2024	23	MIX MLE	3 levels	25	23	121	517	154	55	10	92%	4.8	23.4%	11.5%	11.9%	2.4%	3.36	3.89	—
2024	23	MIX MLE	3 levels	25	23	121	517	154	55	10	92%	4.8	23.4%	11.5%	11.9%	2.4%	3.36	3.89	—
2024	23	MIX RAW	3 levels	25	23	121	517	154	55	10	92%	4.8	29.8%	10.6%	19.1%	1.9%	3.36	2.99	—
2025	24	MIX MLE	3 levels	29	28	150	614	183	57	12	97%	5.2	27.0%	9.4%	17.6%	1.9%	2.89	3.06	+4.4
2025	24	MIX MLE	3 levels	29	28	150	614	183	57	12	97%	5.2	27.0%	9.4%	17.6%	1.9%	2.89	3.06	+4.4
2025	24	MIX RAW	3 levels	29	28	150	614	183	57	12	97%	5.2	29.8%	9.3%	20.5%	2.0%	2.89	2.84	+4.8
2026	25	MLB MLE	New York Yankees	33	33	194	761	239	49	16	100%	5.9	31.4%	6.4%	25.0%	2.0%	1.95	2.34	+7.7
2026	25	MLB MLE	New York Yankees	33	33	194	761	239	49	16	100%	5.9	31.4%	6.4%	25.0%	2.0%	1.95	2.34	+7.7
2026	25	MLB RAW	New York Yankees	33	33	194	761	239	49	16	100%	5.9	31.4%	6.4%	25.0%	2.1%	1.95	2.46	+7.4
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			47	47	267	1065	323	80	24	100%	5.7	30.3%	7.5%	22.8%	2.3%	2.23	2.75	+9.0
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	NYY	28	28	170	718	224	52	17	100%	6.1	31.2%	7.3%	23.9%	2.3%	2.98	3.05	+5.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	NYY	25	25	149	629	196	46	15	100%	6.0	31.2%	7.4%	23.8%	2.4%	3.05	3.09	+4.3
2029	28	MLB MLE	NYY	23	23	138	582	181	44	14	100%	6.0	31.1%	7.5%	23.5%	2.5%	3.13	3.18	+3.8
2030	29	MLB MLE	NYY	21	21	129	543	165	42	14	100%	6.1	30.5%	7.8%	22.7%	2.6%	3.25	3.34	+3.3
2031	30	MLB MLE	NYY	20	20	118	499	148	40	14	100%	5.9	29.8%	8.1%	21.7%	2.8%	3.43	3.54	+2.7
2032	31	MLB MLE	NYY	18	18	106	446	130	37	14	100%	5.9	29.0%	8.4%	20.6%	3.1%	3.64	3.77	+2.1
2033	32	MLB MLE	NYY	15	15	91	383	108	34	13	100%	6.0	28.2%	8.8%	19.4%	3.3%	3.87	4.03	+1.5
2034	33	MLB MLE	NYY	12	12	73	307	84	28	11	100%	6.1	27.4%	9.2%	18.1%	3.6%	4.13	4.31	+0.9
2035	34	MLB MLE	NYY	9	9	53	224	59	22	9	100%	5.9	26.5%	9.8%	16.7%	3.9%	4.42	4.61	+0.5
2036	35	MLB MLE	NYY	6	6	34	146	37	15	6	100%	5.8	25.5%	10.3%	15.2%	4.2%	4.74	4.95	+0.2
2028	27	MLB CTX	NYY	24	24	141	595	186	44	15	100%	5.9	31.2%	7.4%	23.8%	2.6%	3.14	3.18	+4.1
2029	28	MLB CTX	NYY	22	22	131	553	172	42	15	100%	6.0	31.1%	7.5%	23.5%	2.7%	3.22	3.27	+3.6
2030	29	MLB CTX	NYY	20	20	122	515	157	40	15	100%	6.1	30.5%	7.8%	22.7%	2.8%	3.35	3.44	+3.1
2031	30	MLB CTX	NYY	19	19	112	473	141	38	14	100%	5.9	29.8%	8.1%	21.7%	3.0%	3.54	3.65	+2.5
2032	31	MLB CTX	NYY	17	17	100	422	123	35	14	100%	5.9	29.0%	8.4%	20.6%	3.3%	3.75	3.88	+2.0
2033	32	MLB CTX	NYY	14	14	86	363	103	32	13	100%	6.1	28.2%	8.8%	19.4%	3.5%	3.99	4.15	+1.4
2034	33	MLB CTX	NYY	12	12	69	291	80	27	11	100%	5.8	27.4%	9.2%	18.1%	3.8%	4.26	4.44	+0.9
2035	34	MLB CTX	NYY	8	8	48	203	54	20	8	100%	6.0	26.5%	9.8%	16.7%	4.2%	4.56	4.75	+0.4
2036	35	MLB CTX	NYY	5	5	30	127	32	13	6	100%	6.0	25.5%	10.3%	15.2%	4.5%	4.90	5.11	+0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		187	187	1107	4612	1371	371	135	100%	5.9	29.7%	8.0%	21.7%	2.9%	3.29	3.21	+30.1
/ 200 IP	—	RAW		34	34	200	833	248	67	24	100%	5.9	29.7%	8.0%	21.7%	2.9%	3.29	3.21	+5.4
Career	—	MLE		101	97	510	2097	562	195	44	96%	5.0	26.8%	9.3%	17.5%	2.1%	2.75	3.17	+27.8
/ 200 IP	—	MLE		40	38	200	822	220	76	17	96%	5.0	26.8%	9.3%	17.5%	2.1%	2.75	3.17	+4.8

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.

2025 AASomerset Patriots · 53 IPFIP 1.83 → 2.45 (+0.63)K% 30.2% → 24.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.19%	—	×0.810	24.45%
BB% (unintentional) /BF	8.02%	—	×1.100	8.82%
HR / BF /BF	0.47%	÷1.030	×1.200	0.55%

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 106).

Result: FIP 1.83 → 2.45, 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 AAAScranton/Wilkes-Barre RailRiders · 24 IPFIP 2.93 → 3.28 (+0.35)K% 35.7% → 30.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.71%	—	×0.860	30.71%
BB% (unintentional) /BF	9.18%	—	×0.900	8.27%
HR / BF /BF	3.06%	÷1.070	×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 114).

Result: FIP 2.93 → 3.28, 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+Hudson Valley Renegades · 87 IPFIP 2.97 → 3.99 (+1.02)K% 30.3% → 23.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.25%	—	×0.770	23.29%
BB% (unintentional) /BF	10.64%	—	×1.150	12.24%
HR / BF /BF	1.96%	÷1.032	×1.250	2.37%

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 106).

Result: FIP 2.97 → 3.99, 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).

2024 AASomerset Patriots · 32 IPFIP 2.87 → 3.64 (+0.77)K% 29.3% → 23.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.25%	—	×0.810	23.69%
BB% (unintentional) /BF	8.84%	—	×1.100	9.73%
HR / BF /BF	2.04%	÷1.027	×1.200	2.38%

Result: FIP 2.87 → 3.64, 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).

2023 ROKFCL Yankees · 21 IPFIP 3.29 → 4.46 (+1.17)K% 26.4% → 17.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.37%	—	×0.680	17.93%
BB% (unintentional) /BF	14.29%	—	×1.250	17.86%
HR / BF /BF	1.10%	÷1.383	×1.400	1.11%

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 177).

Result: FIP 3.29 → 4.46, 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 ATampa Tarpons · 19 IPFIP 4.08 → 5.16 (+1.07)K% 23.3% → 17.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.26%	—	×0.740	17.21%
BB% (unintentional) /BF	8.14%	—	×1.180	9.60%
HR / BF /BF	3.49%	÷1.086	×1.300	4.18%

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 117).

Result: FIP 4.08 → 5.16, 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).

2023 A+Hudson Valley Renegades · 6 IPFIP 1.74 → 2.23 (+0.48)K% 21.4% → 16.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.43%	—	×0.770	16.50%
BB% (unintentional) /BF	3.57%	—	×1.150	4.11%
HR / BF /BF	0.00%	÷1.006	×1.250	0.00%

Result: FIP 1.74 → 2.23, 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
Cam Schlittler (OGILVIE)	—	—	—	—	—	2.3%	—	3.20	30.9%	23.4%	415	+0.15	—	—	—
Hunter Brown R 2024 · 3.47 FIP	25	SP	3.47	25.1%	8.4%	2.6%	.303	3.26	28.0%	18.7%	293	-0.21	2.77	845	67
Logan Gilbert R 2023 · 3.72 FIP	26	SP	3.72	24.5%	4.5%	3.9%	.271	3.39	28.6%	23.1%	526	-0.33	3.04	1,156	66
George Kirby R 2024 · 3.12 FIP	26	SP	3.12	23.0%	3.0%	2.9%	.287	3.59	22.6%	16.6%	301	+0.47	2.18	905	66
Luis Castillo R 2019 · 3.37 FIP	26	SP	3.37	28.9%	10.1%	2.6%	.258	3.06	26.2%	18.1%	408	-0.31	2.44	1,860	65
Chris Archer R 2015 · 2.85 FIP	26	SP	2.85	29.0%	7.6%	2.2%	.294	3.57	27.5%	20.1%	551	+0.72	2.85	1,371	65
Tanner Bibee R 2024 · 3.37 FIP	25	SP	3.37	26.3%	6.2%	3.1%	.280	4.29	20.1%	13.1%	370	+0.92	3.13	834	61
Jon Gray R 2018 · 3.66 FIP	26	SP	3.66	24.6%	6.9%	3.2%	.317	3.76	22.6%	14.4%	338	+0.10	2.93	1,345	61
Bryce Miller R 2024 · 3.52 FIP	25	SP	3.52	24.3%	6.2%	3.1%	.235	4.75	22.3%	14.3%	222	+1.23	3.43	682	61
Mike Foltynewicz R 2018 · 3.17 FIP	26	SP	3.17	27.2%	8.7%	2.3%	.246	4.80	18.7%	11.8%	307	+1.63	3.17	957	60
Brandon Morrow R 2010 · 3.00 FIP	26	SP	3.00	28.3%	10.5%	1.8%	.334	3.81	23.1%	14.9%	358	+0.81	2.67	922	59
Matt Harvey R 2015 · 2.90 FIP	26	SP	2.90	24.9%	4.6%	2.4%	.268	4.38	18.4%	11.6%	340	+1.48	1.87	1,044	59
Spencer Strider R 2023 · 2.52 FIP	24	SP	2.52	36.8%	7.5%	2.9%	.308	4.23	26.5%	16.5%	178	+1.71	1.65	589	58
Yu Darvish R 2013 · 3.14 FIP	26	SP	3.14	32.9%	9.4%	3.0%	.259	2.79	30.3%	22.6%	265	-0.35	1.97	1,798	58
Stephen Strasburg R 2014 · 2.77 FIP	26	SP	2.77	27.9%	4.5%	2.6%	.310	2.62	29.7%	23.6%	450	-0.15	1.08	1,460	58
Shohei Ohtani R 2021 · 3.14 FIP	27	SP	3.14	29.3%	7.9%	2.8%	.259	2.86	32.4%	24.1%	298	-0.28	1.76	613	58
Kyle Bradish R 2023 · 2.97 FIP	26	SP	2.97	25.0%	6.6%	2.1%	.265	3.60	25.0%	15.4%	243	+0.63	2.20	750	58
Danny Salazar R 2016 · 3.58 FIP	26	SP	3.58	27.6%	10.3%	2.8%	.303	3.34	33.0%	23.0%	103	-0.24	3.22	587	57
Jacob deGrom R 2014 · 2.55 FIP	26	SP	2.55	25.5%	7.3%	1.2%	.295	3.04	26.9%	21.1%	540	+0.49	0.74	1,692	57
Garrett Richards R 2014 · 2.39 FIP	26	SP	2.39	24.2%	7.4%	0.7%	.259	3.49	21.1%	12.6%	270	+1.10	2.31	975	57
Ryne Nelson R 2024 · 3.62 FIP	26	SP	3.62	20.0%	5.1%	2.9%	.303	4.25	20.0%	13.5%	241	+0.63	3.62	828	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	6.6	111	29.9%	8.0%	1.06	3.20
Bruce Sutter ('76-'88, 22 WAR*)	5.2	95	28.5%*	7.3%*	1.12*	3.14*
John Hiller ('65-'80, 25 WAR*)	6.2	96	28.7%*	10.1%*	1.16*	3.19*
James Paxton ('24)	4.8	95	25.3%	7.9%	1.05	3.77
Rich Hill ('25)	7.1	101	23.9%	9.2%	1.12	4.02
Julio Urías ('23)	3.6	102	24.3%	6.6%	1.05	3.11
Dick Radatz ('62-'69, 14 WAR*)	3.5	99	32.8%*	10.1%*	1.06*	3.49*