Eric Yost — OGILVIE

Eric Yost P San Antonio Missions

Age 23 RHP 6'1" / 190 lbs AA Svc 0.0 · Ctrl thru 2033 peak 1.5 · 2029

2026 ROS PROJECTION110 act + 8 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 129121vR 113

ERA5.06

FIP5.06

K%14.6%

BB%11.8%

K-BB%2.8%

ROS IP8

Value2026 · WAR

Runs saved vs league avg · 118 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$1M ctrl surplus

Grades · Contract

Scouting Grades

STUF4040

CTRL4545

CMD4545

K†3040

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.2	$0.7M	+$0.0M
2029	Pre-Arb	$0.8M	+0.3	$1.0M	+$0.3M
2030	Pre-Arb	$0.9M	+0.3	$0.9M	+$0.3M
2031	Arb-1	$2M	+0.2	$0.5M	+$0.0M (cut)
2032	Arb-2	$2M	+0.1	$0.3M	+$0.0M (cut)
2033	Arb-3	$2M	—	—	—
Totals		$3M		$3M	+$0.7M

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)
2023	20	MIX MLE	2 levels	8	0	12	59	10	2	1	0%	1.5	11.8%	2.4%	9.5%	0.0%	8.76	2.40	—
2023	20	MIX MLE	2 levels	8	0	12	59	10	2	1	0%	1.5	11.8%	2.4%	9.5%	0.0%	8.76	2.40	—
2023	20	MIX RAW	2 levels	8	0	12	59	10	2	1	0%	1.5	16.9%	3.4%	13.6%	1.7%	8.76	3.02	—
2024	21	MIX MLE	2 levels	24	18	107	470	97	35	7	75%	4.5	15.4%	8.7%	6.6%	2.0%	4.70	4.02	—
2024	21	MIX MLE	2 levels	24	18	107	470	97	35	7	75%	4.5	15.4%	8.7%	6.6%	2.0%	4.70	4.02	—
2024	21	MIX RAW	2 levels	24	18	107	470	97	35	7	75%	4.5	20.6%	7.4%	13.2%	1.5%	4.70	3.12	—
2025	22	MIX MLE	2 levels	25	25	125	543	113	60	6	100%	5.0	16.2%	12.5%	3.8%	1.4%	3.75	4.10	—
2025	22	MIX MLE	2 levels	25	25	125	543	113	60	6	100%	5.0	16.2%	12.5%	3.8%	1.4%	3.75	4.10	—
2025	22	MIX RAW	2 levels	25	25	125	543	113	60	6	100%	5.0	20.8%	11.0%	9.8%	1.1%	3.75	3.36	—
▸ 2026 season
YTD	23	AAA MLE	El Paso Chihuahuas	25	18	110	483	104	55	13	72%	4.4	17.6%	12.3%	5.3%	3.4%	4.91	5.02	—
YTD	23	AAA MLE	El Paso Chihuahuas	25	18	110	483	104	55	13	72%	4.4	17.6%	12.3%	5.3%	3.4%	4.91	5.02	—
▸ 2026 season — so far · projected rest · full
2026	23	AA RAW	SD	24	17	107	464	101	52	13	71%	4.4	21.8%	11.2%	10.6%	2.8%	4.64	4.22	—
2026	23	AAA RAW	SD	1	1	3	19	3	3	0	100%	3.3	15.8%	15.8%	0.0%	0.0%	13.50	3.77	—
ROS	23	MLB MLE	SD	1	1	8	33	5	4	1	100%	7.9	14.6%	11.8%	2.8%	2.4%	5.06	5.06	-0.0
2026 TOT	23	MLB MLE	SD	—	—	118	516	109	59	14	—	—	21.1%	11.4%	9.7%	2.7%	4.92	5.02	-0.2
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	24	MLB MLE	SD	20	20	115	486	79	52	12	100%	5.8	16.4%	10.8%	5.6%	2.4%	4.87	4.80	+0.1
2028	25	MLB MLE	SD	20	20	116	491	85	50	12	100%	5.8	17.4%	10.2%	7.2%	2.5%	4.72	4.65	+0.3
2029	26	MLB MLE	SD	19	19	116	491	88	49	12	100%	6.1	17.9%	10.0%	7.8%	2.5%	4.64	4.60	+0.4
2030	27	MLB MLE	SD	19	19	115	484	87	49	12	100%	6.0	18.0%	10.1%	7.9%	2.5%	4.63	4.63	+0.4
2031	28	MLB MLE	SD	19	19	111	470	84	48	12	100%	5.9	17.8%	10.2%	7.6%	2.6%	4.68	4.71	+0.2
2032	29	MLB MLE	SD	18	18	106	449	79	47	13	100%	5.9	17.6%	10.4%	7.2%	2.8%	4.78	4.85	+0.1
2033	30	MLB MLE	SD	17	17	100	422	73	45	13	100%	5.9	17.2%	10.7%	6.5%	3.0%	4.93	5.02	-0.1
2027	24	MLB CTX	SD	9	9	50	211	35	23	5	100%	5.6	16.4%	10.8%	5.6%	2.5%	4.90	4.83	+0.1
2028	25	MLB CTX	SD	13	13	78	329	57	34	8	100%	6.0	17.4%	10.2%	7.2%	2.5%	4.75	4.68	+0.2
2029	26	MLB CTX	SD	16	16	93	393	70	39	10	100%	5.8	17.9%	10.0%	7.8%	2.5%	4.67	4.63	+0.3
2030	27	MLB CTX	SD	16	16	98	414	74	42	11	100%	6.1	18.0%	10.1%	7.9%	2.6%	4.66	4.66	+0.3
2031	28	MLB CTX	SD	16	16	99	418	75	43	11	100%	6.2	17.8%	10.2%	7.6%	2.7%	4.72	4.75	+0.2
2032	29	MLB CTX	SD	16	16	97	410	72	43	12	100%	6.1	17.6%	10.4%	7.2%	2.9%	4.82	4.89	+0.1
2033	30	MLB CTX	SD	15	15	92	388	67	42	12	100%	6.1	17.2%	10.7%	6.5%	3.1%	4.97	5.06	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		102	102	607	2563	450	264	69	100%	6.0	17.6%	10.3%	7.2%	2.7%	4.78	4.41	+3.5
/ 200 IP	—	RAW		34	34	200	844	148	87	23	100%	6.0	17.6%	10.3%	7.2%	2.7%	4.78	4.41	+1.2
Career	—	MLE		82	61	354	1555	252	170	34	74%	4.3	16.2%	10.9%	5.3%	2.2%	4.57	4.30	+1.4
/ 200 IP	—	MLE		46	34	200	878	143	96	19	74%	4.3	16.2%	10.9%	5.3%	2.2%	4.57	4.30	+0.4

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
Eric Yost (OGILVIE)	—	—	5.06	14.6%	11.8%	2.4%	—	4.68	17.2%	6.9%	348	-0.38	—	—	—
Chris McElvain R 2023 · 4.76 FIP	22	SP	4.76	15.8%	11.6%	2.8%	.275	5.24	15.8%	4.7%	198	+0.48	4.07	294	91
Jeff Brigham R 2015 · 4.78 FIP	23	SP	4.78	14.5%	11.3%	2.7%	.327	3.80	17.8%	8.5%	288	-0.98	3.48	620	89
Trenton Toplikar R 2019 · 4.32 FIP	23	SP-	4.32	14.8%	10.1%	2.2%	.248	5.39	16.5%	6.4%	123	+1.07	4.32	232	88
Elliot Morris R 2015 · 4.32 FIP	23	SP	4.32	12.8%	10.4%	1.8%	.320	—	—	—	—	—	4.32	102	87
Chase Cohen R 2019 · 4.69 FIP	22	SP-	4.69	15.8%	13.0%	2.3%	.317	4.22	22.1%	9.2%	85	-0.47	3.52	263	87
Nick Hull R 2023 · 4.26 FIP	23	SP-	4.26	17.2%	12.1%	2.0%	.251	4.84	17.7%	6.3%	200	+0.58	4.26	292	86
Bradley Brehmer R 2023 · 4.43 FIP	23	SP	4.43	14.6%	9.5%	2.5%	.349	3.27	20.0%	11.5%	94	-1.16	2.83	165	86
Adam Hill R 2019 · 5.00 FIP	22	SP	5.00	15.6%	12.6%	3.0%	.297	6.06	19.6%	8.9%	91	+1.06	5.00	213	85
Drew McDaniel R 2023 · 4.71 FIP	22	SP	4.71	14.1%	9.1%	3.0%	.323	5.08	18.7%	8.7%	152	+0.37	4.24	230	85
Stolmy Pimentel R 2015 · 4.47 FIP	25	SP-	4.47	16.0%	10.5%	2.5%	.338	3.87	13.6%	3.1%	72	-0.60	3.87	143	85
Brett Daniels R 2019 · 3.95 FIP	23	SP-	3.95	18.5%	12.1%	1.6%	.266	4.46	21.4%	7.9%	152	+0.51	3.95	270	85
Cameron Wagoner R 2023 · 4.10 FIP	22	SP	4.10	14.8%	9.6%	1.9%	.326	2.86	27.7%	21.2%	39	-1.24	2.86	139	84
Baron Stuart R 2023 · 5.24 FIP	24	SP	5.24	14.5%	12.2%	3.3%	.266	4.23	17.6%	4.1%	205	-1.01	3.57	306	84
Alex Royalty R 2019 · 4.33 FIP	22	SP	4.33	14.9%	11.6%	1.8%	.302	4.50	17.7%	8.6%	40	+0.17	4.33	151	84
Braden Olthoff R 2022 · 4.50 FIP	23	SP-	4.50	12.5%	8.0%	2.6%	.280	—	—	—	—	—	4.50	108	84
Johnathan Harmon R 2023 · 4.30 FIP	22	SP-	4.30	17.8%	10.2%	2.6%	.293	5.14	15.1%	6.3%	193	+0.84	3.52	282	84
Garrett Burhenn R 2023 · 4.39 FIP	23	SP-	4.39	13.5%	8.4%	2.5%	.312	4.36	18.1%	10.2%	247	-0.03	4.30	433	84
Connor Jones R 2018 · 4.26 FIP	23	SP-	4.26	13.2%	13.6%	1.0%	.307	4.36	16.9%	3.4%	105	+0.10	3.77	402	84
Angel Ventura R 2016 · 4.28 FIP	23	SP-	4.28	17.9%	10.9%	2.4%	.285	4.66	14.8%	4.8%	153	+0.38	3.42	393	84
Jack Noble R 2023 · 4.42 FIP	23	SP	4.42	16.5%	13.1%	1.9%	.258	6.03	20.3%	8.2%	58	+1.61	4.42	125	83

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	4.3	108	17.2%	10.5%	1.00	4.78
Aaron Sanchez ('22)	3.3	93	18.1%	10.0%	0.98	4.32
Zach Davies ('23)	5.2	116	17.5%	8.1%	1.16	4.36
Dakota Hudson ('24)	2.8	92	15.0%	11.1%	0.91	4.25
Chad Kuhl ('24)	3.3	84	20.0%	10.4%	1.31	4.98
Julio Teheran ('23)	5.2	147	20.4%	8.8%	1.34	4.12
Alex Cobb ('23)	4.0	114	19.5%	6.6%	1.03	4.14