Michael Prosecky

Michael Prosecky P Hartford Yard Goats

Age 25 LHP 6'3" / 200 lbs AA Svc 0.0 · Ctrl thru 2032 peak 0.7 · 2027

2026 ROS PROJECTION24 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 114122vR 130

ERA5.12

FIP5.12

K%18.2%

BB%13.1%

K-BB%5.2%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 30 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit-$4M ctrl surplus

Grades · Contract

Scouting Grades

STUF4545

CMD4045

K†4545

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

Status MiLB

MLB Debut 2027

Service 0 yrs (est)

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2027
2027	Pre-Arb	$0.8M	—	—	—
2028	Pre-Arb	$0.8M	—	—	—
2029	Pre-Arb	$0.8M	—	—	—
2030	Arb-1	$0.6M	—	—	—
2031	Arb-2	$0.4M	—	—	—
2032	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-3M	+$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 + 2026 so far)
2022	21	ROK MLE	ACL Rockies	1	0	1	3	1	0	0	0%	1.0	33.3%	0.0%	33.3%	0.0%	0.00	0.29	—
2022	21	ROK RAW	ACL Rockies	1	0	1	3	1	0	0	0%	1.0	33.3%	0.0%	33.3%	0.0%	0.00	1.10	—
2023	22	A MLE	Fresno Grizzlies	21	21	109	453	125	41	4	100%	5.2	20.4%	10.7%	9.7%	1.0%	2.72	3.26	—
2023	22	A MLE	Fresno Grizzlies	21	21	109	453	125	41	4	100%	5.2	20.4%	10.7%	9.7%	1.0%	2.72	3.26	—
2023	22	A RAW	Fresno Grizzlies	21	21	109	453	125	41	4	100%	5.2	27.6%	9.1%	18.5%	0.9%	2.72	2.41	—
2024	23	MIX MLE	3 levels	14	13	49	216	78	21	3	93%	3.5	24.4%	14.1%	10.3%	1.7%	4.44	3.73	—
2024	23	MIX MLE	3 levels	14	13	49	216	78	21	3	93%	3.5	24.4%	14.1%	10.3%	1.7%	4.44	3.73	—
2024	23	MIX RAW	3 levels	14	13	49	216	78	21	3	93%	3.5	36.1%	9.7%	26.4%	1.4%	4.44	1.99	—
2025	24	MIX MLE	2 levels	27	27	127	550	127	63	13	100%	4.7	18.0%	13.0%	5.1%	2.8%	4.19	4.75	—
2025	24	MIX MLE	2 levels	27	27	127	550	127	63	13	100%	4.7	18.0%	13.0%	5.1%	2.8%	4.19	4.75	—
2025	24	MIX RAW	2 levels	27	27	127	550	127	63	13	100%	4.7	23.1%	11.5%	11.6%	2.4%	4.19	3.92	—
▸ 2026 season
YTD	25	AA MLE	Hartford Yard Goats	14	5	24	108	15	14	3	36%	1.7	11.8%	14.9%	-3.1%	3.8%	3.80	6.05	—
YTD	25	AA MLE	Hartford Yard Goats	14	5	24	108	15	14	3	36%	1.7	11.8%	14.9%	-3.1%	3.8%	3.80	6.05	—
▸ 2026 season — so far · projected rest · full
2026	25	ROK RAW	COL	2	1	3	12	1	1	0	50%	1.5	8.3%	8.3%	0.0%	0.0%	3.00	3.45	—
2026	25	AA RAW	COL	12	4	21	96	14	13	3	33%	1.7	14.6%	13.5%	1.0%	3.1%	3.92	5.30	—
ROS	25	MLB MLE	COL	6	0	6	27	5	3	1	0%	1.1	18.2%	13.1%	5.2%	2.8%	5.12	5.12	-0.0
2026 TOT	25	MLB MLE	COL	—	—	30	135	20	17	4	—	—	14.8%	13.0%	1.8%	2.8%	4.08	5.85	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	26	MLB MLE	COL	19	19	114	481	91	60	14	100%	6.0	18.8%	12.5%	6.3%	2.8%	5.02	5.01	-0.1
2028	27	MLB MLE	COL	19	19	112	474	90	58	14	100%	5.9	19.1%	12.2%	6.9%	2.9%	4.98	4.99	-0.1
2029	28	MLB MLE	COL	18	18	109	460	88	56	14	100%	6.1	19.1%	12.1%	7.0%	3.0%	5.00	5.04	-0.2
2030	29	MLB MLE	COL	17	17	104	439	83	54	14	100%	6.1	18.9%	12.2%	6.7%	3.1%	5.08	5.15	-0.3
2031	30	MLB MLE	COL	16	16	98	413	77	52	14	100%	6.1	18.6%	12.5%	6.0%	3.3%	5.23	5.33	-0.5
2027	26	MLB CTX	COL	8	8	50	211	40	26	7	100%	6.2	18.8%	12.5%	6.3%	3.2%	5.25	5.24	-0.1
2028	27	MLB CTX	COL	12	12	71	300	57	37	10	100%	5.9	19.1%	12.2%	6.9%	3.3%	5.22	5.23	-0.1
2029	28	MLB CTX	COL	14	14	82	346	66	42	12	100%	5.9	19.1%	12.1%	7.0%	3.4%	5.25	5.29	-0.1
2030	29	MLB CTX	COL	14	14	85	359	68	44	13	100%	6.1	18.9%	12.2%	6.7%	3.6%	5.34	5.41	-0.2
2031	30	MLB CTX	COL	14	14	84	355	66	44	14	100%	6.0	18.6%	12.5%	6.0%	3.8%	5.51	5.61	-0.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		62	62	372	1572	297	193	55	100%	6.0	18.9%	12.3%	6.6%	3.5%	5.32	4.99	-0.4
/ 200 IP	—	RAW		33	33	200	844	160	104	30	100%	6.0	18.9%	12.3%	6.6%	3.5%	5.32	4.99	-0.2
Career	—	MLE		77	66	309	1330	258	166	27	86%	4.0	19.4%	12.5%	6.9%	2.1%	3.67	4.17	-1.2
/ 200 IP	—	MLE		50	43	200	861	167	108	18	86%	4.0	19.4%	12.5%	6.9%	2.1%	3.67	4.17	-0.5

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
Michael Prosecky (OGILVIE)	—	—	5.12	18.2%	13.1%	2.8%	—	5.01	19.0%	6.7%	335	-0.11	—	—	—
Jimmy Robbins L 2023 · 4.69 FIP	25	SP-	4.69	17.8%	15.2%	2.1%	.290	5.79	18.9%	3.1%	13	+1.10	3.85	176	85
Adam Tulloch L 2023 · 4.51 FIP	23	SP-	4.51	20.3%	14.1%	2.4%	.313	4.62	18.1%	1.5%	150	+0.11	4.24	246	85
Nate Peterson L 2023 · 4.46 FIP	23	SP-	4.46	18.4%	11.4%	2.7%	.284	5.04	17.2%	5.3%	241	+0.58	4.27	315	84
Dominic Perachi L 2023 · 5.19 FIP	22	SP-	5.19	17.5%	13.9%	3.3%	.324	3.80	17.1%	6.8%	186	-1.39	3.33	277	82
Christian MacLeod L 2023 · 4.52 FIP	23	SP	4.52	16.4%	10.5%	2.7%	.312	4.60	19.5%	5.2%	212	+0.08	3.90	277	81
Miguel Cienfuegos L 2023 · 5.12 FIP	26	SP	5.12	13.6%	10.5%	3.4%	.257	4.56	14.1%	5.6%	242	-0.56	2.99	313	80
Justin Marks L 2015 · 4.60 FIP	27	SP-	4.60	15.4%	10.5%	2.7%	.323	3.88	19.0%	9.1%	216	-0.72	3.83	324	80
Jeremy Wu-Yelland L 2021 · 4.44 FIP	22	SP	4.44	19.6%	14.6%	2.1%	.266	3.90	20.3%	3.7%	33	-0.54	2.93	175	78
Luis Leroy Cruz L 2015 · 5.03 FIP	24	SP-	5.03	16.0%	10.1%	3.7%	.289	—	—	—	—	—	5.03	116	78
Bryan Radziewski L 2015 · 4.15 FIP	23	SP-	4.15	16.4%	10.5%	2.0%	.280	—	—	—	—	—	4.15	106	78
Jack Snodgrass L 2015 · 4.66 FIP	27	SP-	4.66	12.6%	10.7%	2.3%	.278	5.01	15.7%	5.6%	45	+0.35	4.66	118	77
Brett Adcock L 2019 · 5.34 FIP	23	SP	5.34	17.4%	13.6%	3.6%	.295	—	—	—	—	—	4.02	301	76
Scott DeCecco L 2015 · 4.55 FIP	24	SP-	4.55	14.5%	11.5%	2.2%	.331	—	—	—	—	—	4.55	125	76
Cole Kirschsieper L 2023 · 5.07 FIP	22	SP-	5.07	15.2%	12.0%	3.2%	.268	—	—	—	—	—	5.07	105	75
Seth Lonsway L 2023 · 5.20 FIP	24	SP-	5.20	13.8%	15.3%	2.4%	.317	4.17	15.2%	4.4%	313	-1.03	3.35	498	75
Hayden Wynja L 2023 · 4.74 FIP	24	SP-	4.74	20.5%	10.5%	3.7%	.315	4.79	18.0%	7.5%	56	+0.05	4.74	154	75
Demetrio Gutierrez L 2015 · 5.33 FIP	25	SP-	5.33	12.3%	8.5%	4.0%	.327	4.78	10.7%	3.9%	181	-0.55	3.68	322	75
Doug Nikhazy L 2023 · 5.39 FIP	23	SP	5.39	21.9%	16.9%	3.6%	.304	4.73	19.6%	8.6%	256	-0.66	4.16	461	75
Samy Natera Jr. L 2023 · 5.14 FIP	23	SP	5.14	22.9%	13.3%	4.2%	.294	3.29	30.4%	16.9%	124	-1.85	1.94	208	75
Matt Walker L 2023 · 4.73 FIP	25	SP-	4.73	12.7%	10.0%	2.6%	.333	—	—	—	—	—	4.21	156	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	3.0	101	18.8%	12.4%	1.16	5.06
Tyler Chatwood ('21)	2.6	104	19.2%	13.3%	0.94	4.48
Chad Kuhl ('24)	3.3	84	20.0%	10.4%	1.31	4.98
Steven Brault ('21)	1.7	57	18.8%	11.3%	1.00	4.77
Dakota Hudson ('24)	2.8	92	15.0%	11.1%	0.91	4.25
Aaron Sanchez ('22)	3.3	93	18.1%	10.0%	0.98	4.32
Junior Guerra ('21)	2.5	84	21.3%	11.0%	1.16	4.04