Michael Plassmeyer

P Tacoma Rainiers

Age 30 LHP 6'2" / 197 lbs AAA peak 0.3 · 2027

Overview

AAASPROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	28	AAATEX	28	16	106	4.43	4.25	21.9%	7.3%	—	K 18.8% · BB 6.6% · FIP 4.83
2026	29	AAASEA	27	5	40	4.69	4.64	21.7%	11.4%	—	K 18.7% · BB 10.3% · FIP 4.90
2027PROJ	30	MLBSEA	1	1	6	4.80	4.80	18.8%	7.5%	0.0
2028PROJ37% MLB	31	MLBSEA	3	3	19	4.88	4.96	18.9%	8.1%	0.1
2029PROJ55% MLB	32	MLBSEA	4	4	25	5.01	5.14	18.8%	8.6%	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

Stuff45Control55Command50

Career WAR0.0 WAR median (P10 -0.0 / P90 0.0, comp-based) · star 0% · didn't stick 98%

CompsDanny Wirchansky (age 27) · Roy Merritt (age 30) · Luke Westphal (age 32)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 108116vR 124

ERA4.80

FIP4.80

K%18.8%

BB%7.5%

K-BB%11.3%

Proj IP58

Value2027 · WAR

Runs saved vs league avg · 58 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL5555

CMD5050

K†4545

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 the standard WAR scale.

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)
2019	22	MIX MLE	3 levels	25	23	132	515	109	22	8	92%	5.3	16.1%	5.0%	11.1%	1.9%	1.91	3.42	—
2019	22	MIX RAW	3 levels	25	23	132	515	109	22	8	92%	5.3	21.2%	4.3%	16.9%	1.6%	1.91	2.74	—
2021	24	AA MLE	Richmond Flying Squirrels	23	19	109	468	124	23	15	83%	4.8	21.5%	5.4%	16.1%	4.2%	4.69	4.26	—
2021	24	AA RAW	Richmond Flying Squirrels	23	19	109	468	124	23	15	83%	4.8	26.5%	4.9%	21.6%	3.2%	4.69	3.25	—
2022	25	MIX MLE	2 levels	29	26	136	571	136	48	28	90%	4.7	20.9%	9.1%	11.8%	5.3%	4.18	5.38	+0.0
2022	25	MIX RAW	2 levels	29	26	136	571	136	48	28	90%	4.7	23.8%	8.4%	15.4%	4.9%	4.18	4.84	+0.9
2023	26	MIX MLE	3 levels	20	18	79	350	87	31	14	90%	4.0	21.3%	9.0%	12.3%	3.6%	5.45	4.41	+0.9
2023	26	MIX RAW	3 levels	20	18	79	350	87	31	14	90%	4.0	24.9%	8.9%	16.0%	4.0%	5.45	4.37	+1.0
2024	27	AAA MLE	Indianapolis Indians	28	11	70	322	86	13	11	39%	2.5	23.0%	3.6%	19.3%	4.1%	7.93	3.89	—
2024	27	AAA MLE	Indianapolis Indians	28	11	70	322	86	13	11	39%	2.5	23.0%	3.6%	19.3%	4.1%	7.93	3.89	—
2024	27	AAA RAW	Indianapolis Indians	28	11	70	322	86	13	11	39%	2.5	26.7%	4.0%	22.7%	3.4%	7.93	3.24	—
2025	28	AAA MLE	Round Rock Express	28	16	106	452	99	33	17	57%	3.8	18.8%	6.6%	12.3%	4.5%	4.43	4.83	—
2025	28	AAA MLE	Round Rock Express	28	16	106	452	99	33	17	57%	3.8	18.8%	6.6%	12.3%	4.5%	4.43	4.83	—
2025	28	AAA RAW	Round Rock Express	28	16	106	452	99	33	17	57%	3.8	21.9%	7.3%	14.6%	3.8%	4.43	4.25	—
2026	29	AAA MLE	Tacoma Rainiers	27	5	40	175	38	20	6	19%	1.5	18.7%	10.3%	8.4%	3.8%	4.69	4.90	—
2026	29	AAA MLE	Tacoma Rainiers	27	5	40	175	38	20	6	19%	1.5	18.7%	10.3%	8.4%	3.8%	4.69	4.90	—
2026	29	AAA RAW	Tacoma Rainiers	27	5	40	175	38	20	6	19%	1.5	21.7%	11.4%	10.3%	3.4%	4.69	4.64	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			3	1	11	52	11	1	4	33%	3.7	21.2%	1.9%	19.2%	7.7%	9.82	6.10	-0.2
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	30	MLB	SEA	1	1	6	25	5	2	1	100%	6.0	18.8%	7.5%	11.3%	3.6%	4.80	4.80	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	31	MLB MLE	SEA	9	9	53	223	42	18	8	100%	5.9	18.9%	8.1%	10.8%	3.7%	4.88	4.96	+0.3
2029	32	MLB MLE	SEA	8	8	46	194	36	17	8	100%	5.7	18.8%	8.6%	10.2%	3.9%	5.01	5.14	+0.1
2028	31	MLB CTX	SEA	3	3	19	80	15	6	3	100%	6.3	18.9%	8.1%	10.8%	3.7%	4.88	4.96	+0.1
2029	32	MLB CTX	SEA	4	4	25	106	20	9	4	100%	6.2	18.8%	8.6%	10.2%	3.9%	5.01	5.14	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		10	8	56	241	46	17	11	80%	5.6	19.3%	7.0%	12.4%	4.7%	5.91	4.92	+0.3
/ 200 IP	—	RAW		38	30	200	864	165	61	39	81%	5.3	19.3%	7.0%	12.4%	4.7%	5.91	4.92	+1.1
Career	—	MLE		180	118	673	2853	569	194	112	66%	3.7	19.9%	6.8%	13.1%	3.9%	4.43	4.44	+0.3
/ 200 IP	—	MLE		54	35	200	848	169	58	33	66%	3.7	19.9%	6.8%	13.1%	3.9%	4.43	4.44	+0.6

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AAATacoma Rainiers · 40 IPFIP 4.60 → 4.90 (+0.30)K% 21.7% → 18.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.71%	—	×0.860	18.67%
BB% (unintentional) /BF	11.43%	—	×0.900	10.29%
HR / BF /BF	3.43%	÷1.000	×1.100	3.77%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 4.60 → 4.90, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 AAARound Rock Express · 106 IPFIP 4.24 → 4.83 (+0.59)K% 21.9% → 18.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.90%	—	×0.860	18.84%
BB% (unintentional) /BF	7.30%	—	×0.900	6.57%
HR / BF /BF	3.76%	÷0.913	×1.100	4.53%

Result: FIP 4.24 → 4.83, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 AAAIndianapolis Indians · 70 IPFIP 3.23 → 3.89 (+0.66)K% 26.7% → 23.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.71%	—	×0.860	22.97%
BB% (unintentional) /BF	4.04%	—	×0.900	3.63%
HR / BF /BF	3.42%	÷0.909	×1.100	4.14%

Result: FIP 3.23 → 3.89, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 AAALehigh Valley IronPigs · 68 IPFIP 4.12 → 4.41 (+0.29)K% 24.7% → 21.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.75%	—	×0.860	21.28%
BB% (unintentional) /BF	10.03%	—	×0.900	9.03%
HR / BF /BF	3.34%	÷1.028	×1.100	3.58%

Result: FIP 4.12 → 4.41, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 A+Jersey Shore BlueClaws · 8 IPFIP 2.80 → 4.39 (+1.59)K% 32.1% → 24.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.14%	—	×0.770	24.75%
BB% (unintentional) /BF	3.57%	—	×1.150	4.11%
HR / BF /BF	3.57%	÷0.858	×1.250	5.20%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 72).

Result: FIP 2.80 → 4.39, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2022 AAALehigh Valley IronPigs · 128 IPFIP 4.92 → 5.38 (+0.46)K% 23.8% → 20.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.80%	—	×0.880	20.94%
BB% (unintentional) /BF	8.67%	—	×1.050	9.11%
HR / BF /BF	4.98%	÷1.039	×1.100	5.28%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 108).

Result: FIP 4.92 → 5.38, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2021 AARichmond Flying Squirrels · 109 IPFIP 3.24 → 4.26 (+1.02)K% 26.5% → 21.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.50%	—	×0.810	21.46%
BB% (unintentional) /BF	4.91%	—	×1.100	5.41%
HR / BF /BF	3.21%	÷0.923	×1.200	4.17%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 85).

Result: FIP 3.24 → 4.26, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2019 A+Charlotte Stone Crabs · 102 IPFIP 2.66 → 3.32 (+0.66)K% 18.9% → 14.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.91%	—	×0.770	14.56%
BB% (unintentional) /BF	3.73%	—	×1.150	4.29%
HR / BF /BF	1.24%	÷0.939	×1.250	1.66%

Result: FIP 2.66 → 3.32, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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 Plassmeyer (OGILVIE)	—	—	4.80	18.8%	7.5%	3.6%	—	5.04	18.8%	10.5%	99	+0.24	—	—	—
Danny Wirchansky L 2024 · 4.47 FIP	27	SP-	4.47	16.2%	7.4%	3.3%	.246	5.88	13.0%	0.2%	68	+1.41	4.47	179	75
Roy Merritt L 2016 · 3.93 FIP	30	SP-	3.93	13.3%	5.9%	2.2%	.293	3.95	16.2%	10.4%	116	+0.02	3.93	129	74
Luke Westphal L 2021 · 4.70 FIP	32	SP-	4.70	22.7%	13.1%	3.4%	.321	4.58	21.9%	7.6%	95	-0.12	2.97	294	70
Matt Lujan L 2017 · 4.69 FIP	28	SP-	4.69	14.3%	6.4%	3.6%	.348	—	—	—	—	—	4.06	227	65
John Bale L 2003 · 4.12 FIP	29	SP	4.12	19.0%	5.1%	3.6%	.305	—	—	—	—	—	2.49	168	65
Tyler Alexander L 2021 · 5.27 FIP	29	SW	5.27	15.7%	10.7%	3.9%	.272	—	—	—	—	—	5.27	128	65
Everett Teaford L 2015 · 4.42 FIP	31	SP-	4.42	13.9%	7.6%	2.8%	.324	—	—	—	—	—	4.42	208	64
Jack Snodgrass L 2016 · 5.01 FIP	28	SP-	5.01	15.7%	10.1%	3.6%	.305	—	—	—	—	—	4.66	118	64
Daniel Camarena L 2023 · 4.94 FIP	30	SP-	4.94	14.0%	5.6%	4.2%	.342	6.81	13.2%	2.4%	51	+1.87	3.76	674	64
Enrique Lechuga L 2015 · 4.70 FIP	29	SP-	4.70	10.0%	10.5%	2.0%	.354	3.78	10.5%	4.4%	59	-0.92	3.78	137	63
Miguel Pena L 2019 · 5.08 FIP	28	SW	5.08	16.0%	7.0%	4.4%	.369	—	—	—	—	—	2.98	282	62
Chris Michalak L 2001 · 4.92 FIP	30	SP-	4.92	11.0%	8.2%	3.1%	.291	4.71	7.0%	-4.3%	14	-0.21	4.71	186	62
Edgar Osuna L 2017 · 5.05 FIP	29	SP	5.05	10.6%	8.2%	3.3%	.345	5.09	10.0%	2.8%	83	+0.04	5.05	175	62
James Gillheeney L 2015 · 3.79 FIP	27	SP-	3.79	14.4%	8.0%	1.6%	.300	—	—	—	—	—	3.79	129	61
Kwang Hyun Kim L 2020 · 3.76 FIP	32	SP	3.76	15.6%	6.5%	2.1%	.214	4.21	17.7%	9.5%	107	+0.45	3.76	146	61
Logan Darnell L 2019 · 3.97 FIP	30	SP-	3.97	12.8%	6.1%	2.1%	.306	—	—	—	—	—	3.16	454	61
Darin Gorski L 2016 · 4.50 FIP	28	SP	4.50	15.0%	9.8%	2.6%	.299	—	—	—	—	—	4.50	206	59
Brian Johnson L 2021 · 4.94 FIP	30	SP-	4.94	15.5%	9.1%	3.6%	.287	—	—	—	—	—	3.39	506	57
Marco Tovar L 2019 · 4.78 FIP	30	SP	4.78	12.6%	5.6%	3.7%	.316	—	—	—	—	—	3.78	327	57
Jorge Castillo L 2015 · 4.50 FIP	33	SP	4.50	16.8%	9.2%	3.0%	.292	4.95	12.4%	7.2%	186	+0.45	4.50	408	57

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 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	0.8	56	19.0%	7.6%	1.55	5.21
Jose Cabrera ('02)	1.4	68	16.2%	7.9%	1.39	4.95
Carlos Almánzar ('05)	1.2	60	16.3%	7.9%	1.32	4.82
Mike Mayers ('23)	1.3	53	23.0%	8.3%	1.61	5.21
Steve Kealey ('68-'73, -1 WAR*)	1.1	54	18.5%*	7.2%*	1.32*	5.26*
Randy St. Claire ('84-'94, -0 WAR*)	1.3	50	19.0%*	8.4%*	1.39*	4.61*
Chuck Hartenstein ('66-'77, -1 WAR*)	1.5	59	13.7%*	7.2%*	1.50*	5.28*