River Ryan — OGILVIE

River Ryan P Toledo Mud Hens

Age 28 RHP 6'2" / 195 lbs AAA Svc 3.0 · Ctrl thru 2029 peak 1.2 · 2027

2027 FULL-SEASON PROJECTION0 act + 124 ip · rates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 10395vR 87

ERA3.86

FIP3.67

K%23.9%

BB%6.6%

K-BB%17.2%

ROS IP124

Value2026 · WAR

Runs saved vs league avg · 124 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit-$16M ctrl surplus

Grades · Statcast · Arsenal · Contract

Scouting Grades

OFP—50

STUF5055

CTRL4045

CMD4545

K†5555

Statcast Percentiles

FB Velo

p7596.3

Whiff%

p4023.9%

p5022.2%

xwOBA vs

p550.307

FB+1.7 (50%)

CT+0.5 (3%)

SL (23%)

CH (8%)

SI (10%)

CU (16%)

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

Status Arb-1

MLB Debut 2024

Service 3.000 yrs.days

Team Control Through 2029

First FA Year 2030

Year	Status	Salary	Proj WAR	Value	Surplus
2027ROS	Arb-1	$8M	+0.2	$0.9M	+$0.0M (cut)
2028	Arb-2	$11M	+0.9	$3M	+$0.0M (cut)
2029	Arb-3	$12M	+0.7	$2M	+$0.0M (cut)
Totals		$0.0M		$7M	+$0.0M

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)
2022	23	MIX MLE	2 levels	15	13	48	201	70	21	4	87%	3.2	26.1%	12.2%	13.9%	2.3%	2.45	3.69	—
2022	23	MIX RAW	2 levels	15	13	48	201	70	21	4	87%	3.2	34.8%	10.4%	24.4%	2.0%	2.45	2.58	—
2023	24	MIX MLE	2 levels	26	24	104	448	110	46	10	92%	4.0	19.2%	11.7%	7.5%	2.1%	3.80	4.14	—
2023	24	MIX RAW	2 levels	26	24	104	448	110	46	10	92%	4.0	24.6%	10.3%	14.3%	2.2%	3.80	3.56	—
2024	25	MIX MLE	4 levels	12	12	45	176	50	17	2	100%	3.7	23.4%	9.8%	13.6%	1.5%	1.81	3.18	+0.9
2024	25	MIX MLE	4 levels	12	12	45	176	50	17	2	100%	3.7	23.4%	9.8%	13.6%	1.5%	1.81	3.18	+0.9
2024	25	MIX RAW	4 levels	12	12	45	176	50	17	2	100%	3.7	28.4%	9.7%	18.8%	1.1%	1.81	2.59	+1.3
2026	27	MIX MLE	2 levels	12	12	45	199	53	12	3	100%	3.8	22.7%	4.6%	18.2%	1.2%	4.37	2.44	+1.4
2026	27	MIX MLE	2 levels	12	12	45	199	53	12	3	100%	3.8	22.7%	4.6%	18.2%	1.2%	4.37	2.44	+1.4
2026	27	MIX RAW	2 levels	12	12	45	199	53	12	3	100%	3.8	26.6%	6.0%	20.6%	1.5%	4.37	2.42	+1.4
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			6	6	25	102	24	12	2	100%	4.1	23.5%	11.8%	11.8%	2.0%	1.82	3.67	+0.4
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	DET	21	21	124	524	125	35	13	100%	5.9	23.9%	6.6%	17.2%	2.5%	3.86	3.67	+1.8
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	DET	20	20	119	501	116	35	13	100%	5.9	23.1%	7.0%	16.1%	2.7%	3.90	3.88	+1.4
2029	30	MLB MLE	DET	19	19	112	471	105	34	14	100%	5.9	22.3%	7.3%	15.0%	2.9%	4.04	4.12	+1.0
2030	31	MLB MLE	DET	17	17	104	440	95	34	14	100%	6.1	21.5%	7.7%	13.9%	3.1%	4.23	4.35	+0.7
2031	32	MLB MLE	DET	16	16	96	407	84	33	14	100%	6.0	20.8%	8.1%	12.7%	3.4%	4.46	4.61	+0.3
2032	33	MLB MLE	DET	15	15	88	373	74	32	14	100%	5.9	19.9%	8.5%	11.4%	3.7%	4.72	4.89	+0.0
2033	34	MLB MLE	DET	13	13	80	339	64	31	13	100%	6.2	19.0%	9.0%	10.0%	4.0%	5.00	5.19	-0.3
2028	29	MLB CTX	DET	12	12	72	304	70	21	8	100%	6.0	23.1%	7.0%	16.1%	2.6%	3.84	3.82	+0.9
2029	30	MLB CTX	DET	13	13	80	338	75	25	9	100%	6.2	22.3%	7.3%	15.0%	2.8%	3.97	4.05	+0.7
2030	31	MLB CTX	DET	14	14	82	346	75	27	10	100%	5.9	21.5%	7.7%	13.9%	3.0%	4.16	4.28	+0.5
2031	32	MLB CTX	DET	14	14	81	342	71	28	11	100%	5.8	20.8%	8.1%	12.7%	3.2%	4.38	4.53	+0.3
2032	33	MLB CTX	DET	13	13	77	325	65	28	11	100%	5.9	19.9%	8.5%	11.4%	3.5%	4.63	4.80	+0.0
2033	34	MLB CTX	DET	11	11	67	283	54	26	11	100%	6.1	19.0%	9.0%	10.0%	3.8%	4.91	5.10	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		83	83	484	2040	434	166	63	100%	5.8	21.3%	8.1%	13.1%	3.1%	4.18	4.02	+5.1
/ 200 IP	—	RAW		34	34	200	844	179	69	26	100%	5.9	21.3%	8.1%	13.1%	3.1%	4.18	4.02	+2.1
Career	—	MLE		65	61	242	1024	225	103	19	94%	3.7	22.0%	10.1%	11.9%	1.9%	3.27	3.56	+3.5
/ 200 IP	—	MLE		54	50	200	846	186	85	16	94%	3.7	22.0%	10.1%	11.9%	1.9%	3.27	3.56	+1.1

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
River Ryan (OGILVIE)	—	—	3.67	23.9%	6.6%	2.5%	—	4.11	22.3%	15.0%	334	+0.44	—	—	—
Erik Hiljus R 2001 · 3.35 FIP	28	SP-	3.35	23.1%	6.9%	2.4%	.321	6.07	14.1%	4.4%	46	+2.72	3.35	112	70
Andy Ferguson R 2016 · 3.10 FIP	27	SP	3.10	18.6%	8.0%	1.0%	.253	—	—	—	—	—	3.10	137	64
Stephen Fife R 2016 · 3.11 FIP	29	SP	3.11	18.8%	8.1%	1.1%	.329	3.65	14.1%	8.3%	152	+0.54	3.11	264	64
Cody Anderson R 2019 · 4.33 FIP	28	SP	4.33	18.9%	7.5%	3.4%	.328	—	—	—	—	—	3.69	279	63
Fabio Castillo R 2017 · 3.98 FIP	28	SP-	3.98	20.9%	8.8%	2.8%	.291	—	—	—	—	—	3.13	195	63
Jake Walkinshaw R 2024 · 4.03 FIP	28	SP	4.03	16.1%	8.5%	2.2%	.244	3.83	15.7%	5.7%	92	-0.20	2.84	310	61
Markus Solbach R 2019 · 3.58 FIP	27	SP	3.58	16.9%	6.1%	2.1%	.311	4.62	17.1%	9.1%	111	+1.04	3.34	391	61
Scott Richmond R 2008 · 2.80 FIP	28	SP	2.80	17.7%	1.8%	1.8%	.337	5.11	19.2%	9.7%	139	+2.31	2.80	166	61
Ryan Watson R 2024 · 4.15 FIP	25	SP-	4.15	18.6%	4.9%	3.7%	.342	5.48	13.1%	5.4%	98	+1.33	4.15	165	60
Jason Alexander R 2021 · 2.66 FIP	28	SP-	2.66	26.8%	5.3%	2.1%	.297	4.02	16.1%	9.3%	329	+1.36	2.08	840	60
Omar Bencomo R 2017 · 4.50 FIP	28	SP-	4.50	18.9%	6.3%	4.0%	.333	4.48	14.9%	10.1%	186	-0.02	3.70	381	60
Ramon Ramirez R 2008 · 4.31 FIP	25	SP-	4.31	20.0%	10.5%	2.9%	.200	—	—	—	—	—	3.65	182	59
Todd Redmond R 2013 · 4.14 FIP	28	SP-	4.14	23.5%	6.5%	4.0%	.266	3.57	17.0%	10.1%	170	-0.57	3.21	247	59
Ariel Peña R 2017 · 3.99 FIP	28	SP	3.99	22.5%	12.0%	2.3%	.304	6.07	19.9%	-5.7%	21	+2.08	3.74	223	59
Raynel Espinal R 2019 · 3.90 FIP	27	SP-	3.90	22.4%	7.1%	3.2%	.313	4.01	22.3%	12.4%	224	+0.11	2.48	507	59
Jonathan Pintaro R 2024 · 3.42 FIP	26	SP	3.42	18.9%	9.4%	1.3%	.264	4.07	23.9%	12.1%	153	+0.65	3.42	223	58
Kyle Snyder R 2006 · 4.47 FIP	28	SP-	4.47	19.9%	5.9%	4.2%	.373	4.83	16.9%	4.5%	54	+0.36	3.80	236	57
Austin Bergner R 2024 · 4.84 FIP	27	SP	4.84	22.2%	12.5%	3.7%	.325	4.42	18.7%	7.3%	107	-0.42	4.06	464	57
Vanny Valenzuela R 2016 · 4.54 FIP	28	SP	4.54	16.3%	11.3%	2.5%	.380	6.25	10.9%	1.2%	25	+1.71	3.26	118	55
Cole Johnson R 2016 · 3.61 FIP	27	SP	3.61	14.0%	4.8%	2.0%	.289	—	—	—	—	—	3.52	101	55

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	3.7	94	21.8%	7.8%	1.19	4.18
Tyler Skaggs ('19)	2.6	74	21.5%	8.0%	1.09	4.41
Matt Harvey ('21)	4.8	121	21.2%	6.7%	1.15	4.42
Jon Gray ('25)	6.2	123	23.4%	7.8%	1.17	4.49
John Patterson ('07)	2.3	76	21.2%	9.1%	1.19	4.32
Tyler Anderson ('25)	6.3	126	19.5%	7.8%	1.32	4.30
Danny Duffy ('21)	5.9	107	21.1%	8.7%	1.11	3.95