John Schreiber — OGILVIE

John Schreiber P New York Yankees

Age 32 RHP 6'2" / 224 lbs MLB peak 0.2 · 2026

2026 ROS PROJECTION55 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 111103vR 95

ERA3.97

FIP4.16

K%19.7%

BB%8.4%

K-BB%11.2%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 60 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF4545

CTRL5050

CMD5050

K†5555

Statcast Percentiles

FB Velo

p4093.8

Whiff%

p2221.4%

p1817.6%

xwOBA vs

p450.317

CH+0.7 (7%)

CT+0.6 (13%)

SI (24%)

FB (53%)

SL-3.5 (27%)

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 + 2026 so far)
2017	23	A MLE	West Michigan Whitecaps	27	0	50	182	70	7	0	0%	1.9	28.5%	4.5%	23.9%	0.0%	0.54	1.27	—
2017	23	A RAW	West Michigan Whitecaps	27	0	50	182	70	7	0	0%	1.9	38.5%	3.8%	34.6%	0.0%	0.54	0.74	—
2018	24	AA MLE	Erie SeaWolves	49	0	58	238	59	14	2	0%	1.2	20.1%	6.5%	13.6%	0.9%	2.48	2.72	—
2018	24	AA RAW	Erie SeaWolves	49	0	58	238	59	14	2	0%	1.2	24.8%	5.9%	18.9%	0.8%	2.48	2.24	—
2019	25	MIX MLE	3 levels	66	0	79	326	101	28	8	0%	1.2	27.1%	8.8%	18.4%	2.7%	2.95	3.41	+1.1
2019	25	MIX RAW	3 levels	66	0	79	326	101	28	8	0%	1.2	31.0%	8.6%	22.4%	2.5%	2.95	2.92	+1.5
2020	26	MLB MLE	Detroit Tigers	15	0	16	70	14	3	2	0%	1.0	20.0%	4.3%	15.7%	3.0%	6.32	3.59	+0.2
2020	26	MLB RAW	Detroit Tigers	15	0	16	70	14	3	2	0%	1.0	20.0%	4.3%	15.7%	2.9%	6.32	3.55	+0.2
2021	27	MIX MLE	2 levels	34	8	69	293	70	27	3	24%	2.0	20.4%	9.8%	10.7%	0.9%	2.73	3.10	+1.2
2021	27	MIX RAW	2 levels	34	8	69	293	70	27	3	24%	2.0	23.9%	9.2%	14.7%	1.0%	2.73	2.81	+1.5
2022	28	MIX MLE	2 levels	71	0	77	306	89	22	5	0%	1.1	28.8%	7.4%	21.4%	1.2%	2.09	2.26	+2.1
2022	28	MIX RAW	2 levels	71	0	77	306	89	22	5	0%	1.1	29.1%	7.2%	21.9%	1.6%	2.09	2.49	+1.9
2023	29	MIX MLE	3 levels	52	2	52	224	59	24	7	4%	1.0	26.0%	11.3%	14.7%	3.0%	3.61	3.99	+0.3
2023	29	MIX MLE	3 levels	52	2	52	224	59	24	7	4%	1.0	26.0%	11.3%	14.7%	3.0%	3.61	3.99	+0.3
2023	29	MIX RAW	3 levels	52	2	52	224	59	24	7	4%	1.0	26.3%	10.7%	15.6%	3.1%	3.61	3.96	+0.4
2024	30	MIX MLE	2 levels	61	1	54	234	49	19	2	2%	0.9	20.5%	8.5%	12.1%	0.5%	4.02	2.71	+1.2
2024	30	MIX MLE	2 levels	61	1	54	234	49	19	2	2%	0.9	20.5%	8.5%	12.1%	0.5%	4.02	2.71	+1.2
2024	30	MIX RAW	2 levels	61	1	54	234	49	19	2	2%	0.9	20.9%	8.1%	12.8%	0.9%	4.02	2.82	+1.1
2025	31	MLB MLE	Kansas City Royals	74	0	64	265	62	18	10	0%	0.9	23.4%	6.8%	16.6%	4.1%	3.80	4.22	+0.2
2025	31	MLB MLE	Kansas City Royals	74	0	64	265	62	18	10	0%	0.9	23.4%	6.8%	16.6%	4.1%	3.80	4.22	+0.2
2025	31	MLB RAW	Kansas City Royals	74	0	64	265	62	18	10	0%	0.9	23.4%	6.8%	16.6%	3.8%	3.80	4.04	+0.4
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			332	2	314	1314	312	108	32	1%	0.9	23.7%	8.2%	15.5%	2.4%	3.58	3.47	+4.0
▸ 2026 season
YTD	32	MLB MLE	New York Yankees	60	0	55	222	39	21	7	0%	0.9	17.6%	9.5%	8.1%	3.0%	3.27	4.44	+0.1
YTD	32	MLB MLE	New York Yankees	60	0	55	222	39	21	7	0%	0.9	17.6%	9.5%	8.1%	3.0%	3.27	4.44	+0.1
▸ 2026 season — so far · projected rest · full
2026	32	MLB RAW	NYY	60	0	55	222	39	21	7	0%	0.9	17.6%	9.5%	8.1%	3.2%	3.27	4.55	+0.0
SO FAR	32	MLB RAW	NYY	60	0	55	222	39	21	7	0%	0.9	17.6%	9.5%	8.1%	3.2%	3.27	4.55	+0.0
ROS	32	MLB MLE	NYY	5	0	5	21	4	2	1	0%	1.0	19.7%	8.4%	11.2%	3.0%	3.97	4.16	+0.0
ROS	32	MLB CTX	NYY	5	0	5	21	4	2	1	0%	1.0	19.7%	8.4%	11.2%	3.0%	3.97	4.16	+0.0
2026 TOT	32	MLB MLE	NYY	—	—	60	243	43	23	8	—	—	17.7%	9.4%	8.4%	3.1%	3.33	4.41	+0.1
FULL	32	MLB A+C	NYY	—	—	60	253	43	23	8	—	—	17.0%	9.0%	8.0%	3.0%	3.33	4.45	+0.1
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	33	MLB MLE	NYY	48	0	50	211	41	19	7	0%	1.0	19.3%	8.8%	10.5%	3.3%	4.61	4.80	-0.1
2028	34	MLB MLE	NYY	43	0	45	192	35	18	7	0%	1.1	18.4%	9.3%	9.1%	3.6%	4.90	5.10	-0.3
2029	35	MLB MLE	NYY	39	0	41	172	30	17	7	0%	1.0	17.4%	9.9%	7.5%	4.0%	5.22	5.44	-0.4
2027	33	MLB CTX	NYY	45	0	47	198	38	18	7	0%	1.0	19.3%	8.8%	10.5%	3.3%	4.61	4.80	-0.1
2028	34	MLB CTX	NYY	39	0	41	173	32	16	6	0%	1.1	18.4%	9.3%	9.1%	3.6%	4.90	5.10	-0.3
2029	35	MLB CTX	NYY	33	0	35	148	26	15	6	0%	1.1	17.4%	9.9%	7.5%	4.0%	5.22	5.44	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		454	2	442	1856	412	158	51	0%	1.0	22.2%	8.5%	13.7%	2.8%	3.95	3.83	+3.8
/ 200 IP	—	RAW		205	1	200	839	186	71	23	0%	1.0	22.2%	8.5%	13.7%	2.8%	3.95	3.83	+1.7
Career	—	MLE		509	11	575	2360	557	191	45	2%	1.1	23.6%	8.1%	15.5%	1.9%	2.93	3.17	+3.2
/ 200 IP	—	MLE		177	4	200	821	194	66	16	2%	1.1	23.6%	8.1%	15.5%	1.9%	2.93	3.17	+1.4

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
John Schreiber (OGILVIE)	—	—	4.25	22.1%	7.7%	3.0%	—	5.09	18.5%	9.1%	136	+0.84	—	—	—
Cory Gearrin R 2018 · 4.02 FIP	32	SU	4.02	21.4%	8.1%	3.1%	.292	3.78	19.5%	9.5%	55	-0.24	3.15	272	86
Brad Brach R 2018 · 3.44 FIP	32	SU	3.44	20.8%	9.0%	1.7%	.338	4.06	24.4%	11.0%	97	+0.62	2.69	410	83
Joakim Soria R 2016 · 4.33 FIP	32	SU	4.33	23.2%	9.2%	3.7%	.319	2.63	28.5%	21.7%	186	-1.70	2.01	380	81
Tommy Hunter R 2018 · 3.30 FIP	32	SU	3.30	18.9%	5.2%	2.1%	.296	2.78	24.5%	18.6%	25	-0.52	2.78	316	80
Jonathan Broxton R 2016 · 3.77 FIP	32	SU	3.77	22.0%	7.3%	2.9%	.256	4.34	20.5%	9.0%	16	+0.57	3.67	137	79
Manny Acosta R 2016 · 4.19 FIP	35	SU	4.19	18.1%	9.1%	2.7%	.273	3.08	23.2%	9.9%	44	-1.11	3.08	102	78
Junichi Tazawa R 2018 · 5.14 FIP	32	SU	5.14	20.4%	10.1%	4.5%	.362	4.16	17.0%	8.6%	21	-0.98	2.94	227	77
Jean Machi R 2015 · 4.56 FIP	33	SU	4.56	16.3%	8.6%	3.2%	.276	4.24	18.5%	11.9%	128	-0.32	4.12	186	77
Danny Farquhar R 2017 · 3.62 FIP	30	SU	3.62	22.3%	11.0%	1.8%	.247	—	—	—	—	—	3.62	224	77
Jose Manuel Lopez R 2017 · 3.61 FIP	32	SU	3.61	20.4%	10.0%	1.8%	.331	6.14	17.9%	3.7%	41	+2.53	3.50	170	76
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	76
Fernando Salas R 2017 · 3.50 FIP	32	SU	3.50	21.3%	6.1%	2.6%	.326	4.15	19.4%	14.1%	92	+0.65	2.71	288	75
Louis Coleman R 2018 · 3.98 FIP	32	SU	3.98	19.8%	9.9%	2.4%	.243	4.44	17.6%	3.6%	14	+0.46	3.10	256	75
Fernando Nieve R 2015 · 4.27 FIP	33	SU	4.27	22.0%	10.5%	3.1%	.290	2.43	26.9%	22.6%	89	-1.84	1.96	112	75
Logan Kensing R 2015 · 3.56 FIP	33	SU	3.56	17.6%	8.8%	1.5%	.270	3.06	17.9%	10.0%	124	-0.50	2.73	172	75
Jumbo Diaz R 2016 · 3.85 FIP	32	SU	3.85	22.3%	9.2%	2.7%	.247	3.28	23.0%	13.8%	141	-0.57	2.80	284	75
Alex Wilson R 2019 · 5.06 FIP	32	SU	5.06	19.4%	6.0%	5.2%	.269	—	—	—	—	—	3.35	326	74
Mike Broadway R 2018 · 4.65 FIP	31	SU	4.65	23.0%	10.6%	3.9%	.282	—	—	—	—	—	1.74	195	74
Josh Fields R 2018 · 3.48 FIP	32	SU	3.48	21.4%	6.5%	2.5%	.224	7.56	18.9%	9.5%	25	+4.08	1.90	238	74
Juan Sandoval R 2015 · 3.82 FIP	34	SU	3.82	15.4%	6.0%	2.3%	.294	3.33	17.4%	8.8%	116	-0.49	3.24	225	74

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	1.0	48	19.5%	8.9%	1.33	4.65
Alex Young ('23)	1.3	52	19.5%	8.6%	1.61	4.43
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Austin Voth ('24)	1.7	58	22.2%	8.2%	1.50	4.63
Jarlín García ('22)	1.5	61	19.6%	7.8%	1.33	3.79
Jacob Barnes ('24)	1.5	42	22.1%	9.6%	1.21	4.58