Cam Schlittler — OGILVIE

Cam Schlittler P New York Yankees

Age 26 RHP 6'6" / 215 lbs MLB Svc 0.0 · Ctrl thru 2032 peak 5.6 · 2027

2027 FULL-SEASON PROJECTION0 act + 190 ip · rates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 8476vR 68

ERA2.98

FIP3.05

K%31.2%

BB%7.3%

K-BB%23.9%

ROS IP190

Value2026 · WAR

Runs saved vs league avg · 190 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$114M ctrl surplus

Grades · Statcast · Arsenal · Contract

Scouting Grades

OFP—50

STUF6060

CTRL5050

CMD4550

K†7070

Statcast Percentiles

FB Velo

p9098.0

Whiff%

p7629.4%

p9031.4%

xwOBA vs

p900.262

FB+6.3 (64%)

SL+3.1 (27%)

SI (19%)

CU (10%)

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

Status Pre-Arb

MLB Debut 2025

Service 0.477 yrs.days

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2027ROS	Pre-Arb	$0.8M	+4.2	$48M	+$47M
2028	Pre-Arb	$0.8M	+4.0	$41M	+$40M
2029	Pre-Arb	$0.8M	+3.7	$33M	+$32M
2030	Arb-1	$10M	+3.2	$24M	+$17M
2031	Arb-2	$14M	+2.6	$16M	+$6M
2032	Arb-3	$17M	+2.0	$11M	+$0.8M
Totals		$44M		$172M	+$143M

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)
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	+3.4
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	+3.4
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	+3.9
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	+6.5
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	+6.5
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	+6.1
▸ 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	+7.3
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	NYY	32	32	190	802	250	59	19	100%	5.9	31.2%	7.3%	23.9%	2.3%	2.98	3.05	+4.4
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	NYY	31	31	187	790	246	58	19	100%	6.0	31.2%	7.4%	23.8%	2.4%	3.05	3.09	+4.2
2029	28	MLB MLE	NYY	30	30	181	766	238	58	19	100%	6.0	31.1%	7.5%	23.6%	2.5%	3.13	3.18	+3.9
2030	29	MLB MLE	NYY	29	29	173	731	223	57	19	100%	6.0	30.5%	7.8%	22.7%	2.6%	3.25	3.34	+3.3
2031	30	MLB MLE	NYY	27	27	163	687	205	55	20	100%	6.0	29.8%	8.1%	21.7%	2.8%	3.43	3.54	+2.7
2032	31	MLB MLE	NYY	25	25	152	641	186	54	20	100%	6.1	29.0%	8.4%	20.6%	3.1%	3.64	3.77	+2.1
2033	32	MLB MLE	NYY	23	23	140	593	167	52	20	100%	6.1	28.2%	8.8%	19.4%	3.3%	3.87	4.03	+1.5
2034	33	MLB MLE	NYY	21	21	129	544	149	50	20	100%	6.1	27.4%	9.3%	18.1%	3.6%	4.13	4.31	+0.9
2035	34	MLB MLE	NYY	20	20	117	495	131	48	19	100%	5.9	26.5%	9.8%	16.7%	3.9%	4.42	4.61	+0.4
2036	35	MLB MLE	NYY	18	18	105	444	113	46	19	100%	5.8	25.5%	10.3%	15.2%	4.2%	4.74	4.95	-0.1
2028	27	MLB CTX	NYY	30	30	178	752	235	55	19	100%	5.9	31.2%	7.4%	23.8%	2.6%	3.14	3.18	+4.0
2029	28	MLB CTX	NYY	29	29	172	726	226	55	19	100%	5.9	31.1%	7.5%	23.6%	2.7%	3.22	3.27	+3.7
2030	29	MLB CTX	NYY	28	28	165	697	212	54	20	100%	5.9	30.5%	7.8%	22.7%	2.8%	3.35	3.44	+3.2
2031	30	MLB CTX	NYY	26	26	155	654	195	53	20	100%	6.0	29.8%	8.1%	21.7%	3.0%	3.54	3.65	+2.6
2032	31	MLB CTX	NYY	24	24	144	608	177	51	20	100%	6.0	29.0%	8.4%	20.6%	3.3%	3.75	3.88	+2.0
2033	32	MLB CTX	NYY	22	22	133	562	159	49	20	100%	6.0	28.2%	8.8%	19.4%	3.5%	3.99	4.15	+1.4
2034	33	MLB CTX	NYY	20	20	122	515	141	48	20	100%	6.1	27.4%	9.3%	18.1%	3.8%	4.26	4.44	+0.8
2035	34	MLB CTX	NYY	18	18	106	448	119	44	19	100%	5.9	26.5%	9.8%	16.7%	4.2%	4.56	4.75	+0.4
2036	35	MLB CTX	NYY	15	15	90	380	97	39	17	100%	6.0	25.5%	10.3%	15.2%	4.5%	4.90	5.11	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		258	258	1532	6409	1884	528	197	100%	5.9	29.4%	8.2%	21.1%	3.1%	3.48	3.35	+29.3
/ 200 IP	—	RAW		34	34	200	836	246	69	26	100%	5.9	29.4%	8.2%	21.1%	3.1%	3.48	3.35	+3.8
Career	—	MLE		101	97	510	2097	562	195	44	96%	5.0	26.8%	9.3%	17.5%	2.1%	2.75	3.17	+25.6
/ 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	+3.2

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)	—	—	3.05	31.2%	7.3%	2.3%	—	3.20	30.9%	23.4%	542	+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	57
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: 497 starter careers (1990-2025).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	9.0	150	29.5%	8.2%	1.11	3.36
Yu Darvish ('25)	8.9	137	28.4%	7.7%	1.17	3.65
Chris Archer ('22)	6.8	151	25.4%	8.3%	1.09	3.93
Stephen Strasburg ('22)	7.3	134	28.9%	6.6%	0.91	3.24
Trevor Bauer ('21)	6.5	162	25.9%	9.0%	1.11	3.79
Danny Salazar ('19)	3.0	118	27.7%	8.6%	1.14	3.82
Lance Lynn ('24)	10.0	154	23.7%	8.3%	1.04	3.74