Ryan Slater

P Eugene Emeralds

Age 25 RHP 6'3" / 203 lbs A+ peak 0.1 · 2028

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	23	ASF	33	71	2.54	2.42	24.4%	7.7%	—	K 18.0% · BB 9.0% · FIP 3.09
2026	24	MIX3 levels	32	35	4.63	3.76	28.2%	9.4%	—	K 22.8% · BB 10.5% · FIP 4.58
2027PROJ	25	MLBSF	57	60	4.72	4.72	19.8%	10.4%	-0.1
2028PROJ43% MLB	26	MLBSF	26	27	4.67	4.66	20.3%	10.2%	-0.0
2029PROJ63% MLB	27	MLBSF	38	40	4.66	4.67	20.6%	10.2%	-0.1

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff40Control45Command45

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 97%

CompsVinnie Chulk (age 25) · Austin Ross (age 24) · Barrett Loseke (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 123115vR 107

ERA4.72

FIP4.72

K%19.8%

BB%10.4%

K-BB%9.4%

Proj IP60

Value2027 · WAR

Runs saved vs league avg · 60 IP

Grades · Contract

Scouting Grades

STUF4040

CTRL4545

CMD4545

K†4550

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	23	A MLE	San Jose Giants	33	0	71	287	70	22	2	0%	2.2	18.0%	9.0%	9.0%	0.7%	2.54	3.09	—
2025	23	A MLE	San Jose Giants	33	0	71	287	70	22	2	0%	2.2	18.0%	9.0%	9.0%	0.7%	2.54	3.09	—
2025	23	A RAW	San Jose Giants	33	0	71	287	70	22	2	0%	2.2	24.4%	7.7%	16.7%	0.7%	2.54	2.42	—
2026	24	MIX MLE	3 levels	32	0	35	149	42	14	5	0%	1.1	22.8%	10.5%	12.3%	3.8%	4.63	4.58	—
2026	24	MIX MLE	3 levels	32	0	35	149	42	14	5	0%	1.1	22.8%	10.5%	12.3%	3.8%	4.63	4.58	—
2026	24	MIX RAW	3 levels	32	0	35	149	42	14	5	0%	1.1	28.2%	9.4%	18.8%	3.4%	4.63	3.76	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	SF	57	0	60	253	50	26	7	0%	1.1	19.8%	10.4%	9.4%	2.9%	4.72	4.72	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	SF	61	0	64	270	55	28	8	0%	1.0	20.3%	10.2%	10.1%	2.9%	4.67	4.66	-0.1
2029	27	MLB MLE	SF	60	0	63	266	55	27	8	0%	1.0	20.6%	10.2%	10.4%	3.0%	4.66	4.67	-0.1
2028	26	MLB CTX	SF	26	0	27	114	23	12	3	0%	1.0	20.3%	10.2%	10.1%	2.9%	4.67	4.66	-0.0
2029	27	MLB CTX	SF	38	0	40	169	35	17	5	0%	1.1	20.6%	10.2%	10.4%	3.0%	4.66	4.67	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		64	0	67	283	58	29	8	0%	1.0	20.5%	10.2%	10.3%	3.0%	4.66	4.29	+0.2
/ 200 IP	—	RAW		190	0	200	844	173	86	24	0%	1.1	20.5%	10.2%	10.3%	3.0%	4.66	4.29	+0.6
Career	—	MLE		65	0	106	436	86	42	8	0%	1.6	19.7%	9.5%	10.1%	1.7%	3.23	3.60	-0.2
/ 200 IP	—	MLE		123	0	200	823	162	78	14	0%	1.6	19.7%	9.5%	10.1%	1.7%	3.23	3.60	-0.3

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
Ryan Slater (OGILVIE)	—	—	4.72	19.8%	10.4%	2.9%	—	4.66	20.4%	10.2%	127	-0.06	—	—	—
Vinnie Chulk R 2004 · 4.26 FIP	25	SU	4.26	17.7%	10.5%	2.4%	.308	3.95	16.9%	9.6%	171	-0.31	2.97	271	92
Austin Ross R 2019 · 4.41 FIP	24	SU	4.41	20.7%	9.6%	3.4%	.281	5.19	21.2%	5.7%	55	+0.78	4.41	121	92
Barrett Loseke R 2022 · 4.42 FIP	25	SU	4.42	21.7%	10.1%	3.4%	.311	5.24	23.5%	12.2%	22	+0.82	4.42	152	90
Hueston Morrill R 2024 · 4.54 FIP	24	SU	4.54	19.8%	8.7%	3.7%	.302	3.24	19.0%	8.2%	54	-1.30	3.09	102	90
Rhiner Cruz R 2012 · 4.80 FIP	25	SU	4.80	18.2%	11.5%	3.2%	.335	4.81	10.2%	-1.0%	21	+0.01	3.21	127	89
Taylor Floyd R 2023 · 4.34 FIP	25	SU	4.34	21.7%	10.8%	3.1%	.331	4.61	18.4%	8.9%	192	+0.27	3.48	359	89
David Goforth R 2015 · 3.98 FIP	26	SU	3.98	17.4%	9.8%	2.0%	.287	4.58	14.1%	3.6%	184	+0.60	3.98	256	88
Jordan Milbrath R 2017 · 4.05 FIP	25	SU	4.05	19.9%	10.4%	2.4%	.272	3.61	19.6%	9.7%	129	-0.44	3.19	386	88
Esmerling Vasquez R 2009 · 3.86 FIP	25	SU	3.86	18.9%	11.3%	1.7%	.296	4.30	17.3%	4.7%	116	+0.44	3.70	204	88
Jon Leicester R 2004 · 4.69 FIP	25	SU	4.69	20.0%	8.6%	4.0%	.280	4.44	11.0%	2.0%	32	-0.25	3.76	113	88
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	87
Jacob Bosiokovic R 2019 · 3.84 FIP	25	SU	3.84	17.2%	9.8%	1.7%	.289	4.21	24.7%	12.1%	62	+0.37	3.84	181	87
Josh Zeid R 2013 · 4.00 FIP	26	SU	4.00	20.3%	9.3%	2.6%	.287	4.75	16.2%	4.8%	183	+0.75	4.00	313	87
Jesus Pirela R 2015 · 3.84 FIP	26	SU	3.84	23.7%	11.6%	2.3%	.305	3.92	17.1%	13.9%	45	+0.08	3.24	161	87
Grant Hartwig R 2023 · 3.76 FIP	25	SU	3.76	21.0%	9.9%	2.1%	.330	3.86	19.6%	10.6%	101	+0.10	2.52	219	87
Ricky Stone R 2002 · 4.16 FIP	27	SU	4.16	18.8%	9.3%	2.7%	.297	4.96	13.7%	7.4%	165	+0.80	4.16	243	87
Gavin Hollowell R 2023 · 4.53 FIP	25	SU	4.53	21.5%	10.1%	3.6%	.273	3.82	26.5%	13.5%	100	-0.71	2.41	227	87
Luke Bell R 2024 · 3.62 FIP	23	SU	3.62	20.4%	9.9%	1.8%	.295	5.69	13.1%	1.3%	66	+2.07	3.62	110	87
Garrett Apker R 2024 · 4.01 FIP	24	SU	4.01	19.8%	11.2%	2.1%	.288	8.46	15.4%	-7.6%	11	+4.45	4.01	101	87
Héctor Neris R 2015 · 4.00 FIP	26	SU	4.00	20.9%	10.0%	2.5%	.298	3.03	31.5%	23.7%	221	-0.97	2.03	682	87

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	0.9	62	20.2%	10.3%	1.14	4.68
Bill Scherrer ('82-'88, 1 WAR*)	1.6	62	20.7%*	10.2%*	1.19*	4.44*
Josias Manzanillo ('04)	1.7	57	20.0%	10.2%	1.21	4.71
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Kevin Quackenbush ('21)	1.0	52	21.0%	9.2%	1.04	4.41
Mark Lowe ('16)	1.9	64	20.9%	9.7%	1.10	4.22
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*