Parker Mushinski

P Albuquerque Isotopes

Age 31 LHP 6'0" / 220 lbs AAA

Overview

AAARPROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	28	MIX2 levels	54	0	56	5.66	3.80	22.5%	11.6%	0.5	K 19.5% · BB 10.7% · FIP 4.06
2025	29	AAACLE	46	0	50	3.78	2.84	29.6%	13.9%	—	K 25.5% · BB 12.5% · FIP 3.03
2026	30	MIX2 levels	50	8	66	3.26	4.35	19.1%	10.2%	0.2	K 18.7% · BB 8.7% · FIP 4.56
2027PROJ	31	MLBCOL	45	0	47	4.61	4.70	20.3%	10.5%	-0.1
2028PROJ81% MLB	32	MLBCOL	36	0	38	4.78	4.92	19.8%	10.8%	-0.2
2029PROJ86% MLB	33	MLBCOL	30	0	32	4.99	5.15	19.2%	11.1%	-0.2

Last 3 seasons WAR 0.6 · Next 3 projected WAR -0.5Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2024

FB Velo16

K%10

xwOBA vs10

Career WAR0.0 WAR median (P10 -0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsRaul Valdes (age 32) · Edward Paredes (age 31) · Adam Liberatore (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 106114vR 122

ERA4.61

FIP4.70

K%20.3%

BB%10.5%

K-BB%9.8%

Proj IP63

Value2027 · WAR

Runs saved vs league avg · 63 IP

Grades · Statcast · Contract

Scouting Grades

STUF6060

CTRL3535

CMD5050

K†5050

Statcast Percentiles

FB Velo

p1692.1

Whiff%

p1016.3%

p106.0%

xwOBA vs

p100.376

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)
2018	22	A MLE	Quad Cities River Bandits	27	12	89	378	114	44	4	44%	3.3	22.3%	13.7%	8.6%	1.4%	2.33	3.73	—
2018	22	A RAW	Quad Cities River Bandits	27	12	89	378	114	44	4	44%	3.3	30.2%	11.6%	18.5%	1.1%	2.33	2.61	—
2019	23	MIX MLE	2 levels	14	11	57	251	70	18	4	79%	4.1	21.6%	8.2%	13.4%	2.3%	4.08	3.57	—
2019	23	MIX RAW	2 levels	14	11	57	251	70	18	4	79%	4.1	27.9%	7.2%	20.7%	1.6%	4.08	2.51	—
2021	25	MIX MLE	2 levels	23	10	65	281	84	23	6	43%	2.8	24.7%	9.0%	15.7%	2.4%	3.60	3.50	—
2021	25	MIX RAW	2 levels	23	10	65	281	84	23	6	43%	2.8	29.9%	8.2%	21.7%	2.1%	3.60	2.78	—
2022	26	MIX MLE	2 levels	45	0	48	202	49	22	3	0%	1.1	21.0%	11.6%	9.4%	2.1%	2.81	3.95	+0.3
2022	26	MIX RAW	2 levels	45	0	48	202	49	22	3	0%	1.1	24.3%	10.9%	13.4%	1.5%	2.81	3.25	+0.7
2023	27	MIX MLE	2 levels	46	0	46	194	54	15	7	0%	1.0	25.0%	7.2%	17.9%	3.9%	3.69	4.04	+0.3
2023	27	MIX RAW	2 levels	46	0	46	194	54	15	7	0%	1.0	27.8%	7.7%	20.1%	3.6%	3.69	3.70	+0.5
2024	28	MIX MLE	2 levels	54	0	56	258	58	30	5	0%	1.0	19.5%	10.7%	8.8%	2.3%	5.66	4.06	+0.3
2024	28	MIX MLE	2 levels	54	0	56	258	58	30	5	0%	1.0	19.5%	10.7%	8.8%	2.3%	5.66	4.06	+0.3
2024	28	MIX RAW	2 levels	54	0	56	258	58	30	5	0%	1.0	22.5%	11.6%	10.9%	1.9%	5.66	3.80	+0.5
2025	29	AAA MLE	Columbus Clippers	46	0	50	223	66	31	2	0%	1.1	25.5%	12.5%	12.9%	0.9%	3.78	3.03	—
2025	29	AAA MLE	Columbus Clippers	46	0	50	223	66	31	2	0%	1.1	25.5%	12.5%	12.9%	0.9%	3.78	3.03	—
2025	29	AAA RAW	Columbus Clippers	46	0	50	223	66	31	2	0%	1.1	29.6%	13.9%	15.7%	0.9%	3.78	2.84	—
2026	30	MIX MLE	2 levels	50	8	66	283	54	29	8	16%	1.3	18.7%	8.7%	10.0%	3.5%	3.26	4.56	-0.0
2026	30	MIX MLE	2 levels	50	8	66	283	54	29	8	16%	1.3	18.7%	8.7%	10.0%	3.5%	3.26	4.56	-0.0
2026	30	MIX RAW	2 levels	50	8	66	283	54	29	8	16%	1.3	19.1%	10.2%	8.8%	2.8%	3.26	4.35	+0.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			39	0	40	183	26	17	6	0%	1.0	14.2%	9.3%	4.9%	3.3%	4.99	5.04	-0.2
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	31	MLB	COL	45	0	47	198	40	21	6	0%	1.0	20.3%	10.5%	9.8%	2.9%	4.61	4.70	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	32	MLB MLE	COL	44	0	46	196	39	21	6	0%	1.1	19.8%	10.8%	9.0%	3.2%	4.78	4.92	-0.2
2029	33	MLB MLE	COL	35	0	37	156	30	17	5	0%	1.1	19.2%	11.1%	8.1%	3.4%	4.99	5.15	-0.2
2028	32	MLB CTX	COL	36	0	38	160	32	17	5	0%	1.1	19.8%	10.8%	9.0%	3.2%	4.78	4.92	-0.2
2029	33	MLB CTX	COL	30	0	32	135	26	15	5	0%	1.1	19.2%	11.1%	8.1%	3.4%	4.99	5.15	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		105	0	109	476	83	49	16	0%	1.0	17.5%	10.3%	7.2%	3.3%	4.92	4.73	-0.2
/ 200 IP	—	RAW		193	0	200	873	152	90	29	0%	1.0	17.5%	10.3%	7.2%	3.3%	4.92	4.73	-0.4
Career	—	MLE		305	41	478	2070	459	215	48	13%	1.6	22.2%	10.4%	11.8%	2.3%	3.56	3.81	-0.7
/ 200 IP	—	MLE		128	17	200	867	192	90	20	13%	1.6	22.2%	10.4%	11.8%	2.3%	3.56	3.81	-1.1

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 AAAAlbuquerque Isotopes · 60 IPFIP 4.25 → 4.56 (+0.31)K% 21.7% → 18.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.69%	—	×0.860	18.65%
BB% (unintentional) /BF	9.64%	—	×0.900	8.67%
HR / BF /BF	3.21%	÷1.000	×1.100	3.53%

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 4.25 → 4.56, 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 AAAColumbus Clippers · 50 IPFIP 2.85 → 3.03 (+0.18)K% 29.6% → 25.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.60%	—	×0.860	25.45%
BB% (unintentional) /BF	13.90%	—	×0.900	12.51%
HR / BF /BF	0.90%	÷1.093	×1.100	0.90%

Result: FIP 2.85 → 3.03, 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 AAASugar Land Space Cowboys · 45 IPFIP 3.45 → 3.84 (+0.39)K% 26.4% → 22.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.44%	—	×0.860	22.74%
BB% (unintentional) /BF	12.02%	—	×0.900	10.82%
HR / BF /BF	1.92%	÷0.903	×1.100	2.34%

Result: FIP 3.45 → 3.84, 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 AAASugar Land Space Cowboys · 32 IPFIP 2.46 → 2.92 (+0.46)K% 31.2% → 26.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.20%	—	×0.860	26.83%
BB% (unintentional) /BF	8.80%	—	×0.900	7.92%
HR / BF /BF	1.60%	÷0.896	×1.100	1.96%

Result: FIP 2.46 → 2.92, 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 AAASugar Land Space Cowboys · 41 IPFIP 3.44 → 3.95 (+0.50)K% 23.8% → 21.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.84%	—	×0.880	20.98%
BB% (unintentional) /BF	11.05%	—	×1.050	11.60%
HR / BF /BF	1.74%	÷0.917	×1.100	2.09%

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 83).

Result: FIP 3.44 → 3.95, 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 AACorpus Christi Hooks · 52 IPFIP 2.48 → 3.15 (+0.67)K% 29.3% → 23.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.33%	—	×0.810	23.76%
BB% (unintentional) /BF	8.89%	—	×1.100	9.78%
HR / BF /BF	1.33%	÷1.074	×1.200	1.49%

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 115).

Result: FIP 2.48 → 3.15, 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 AAASugar Land Skeeters · 13 IPFIP 4.00 → 4.88 (+0.88)K% 32.1% → 28.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.14%	—	×0.880	28.29%
BB% (unintentional) /BF	5.36%	—	×1.050	5.62%
HR / BF /BF	5.36%	÷0.935	×1.100	6.30%

Result: FIP 4.00 → 4.88, 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+Fayetteville Woodpeckers · 53 IPFIP 2.61 → 3.57 (+0.96)K% 28.0% → 21.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.00%	—	×0.770	21.56%
BB% (unintentional) /BF	7.11%	—	×1.150	8.18%
HR / BF /BF	1.78%	÷0.969	×1.250	2.29%

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 94).

Result: FIP 2.61 → 3.57, 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
Parker Mushinski (OGILVIE)	—	—	4.70	20.3%	10.5%	2.9%	—	5.02	19.6%	8.6%	83	+0.32	—	—	—
Raul Valdes L 2010 · 4.02 FIP	32	SU	4.02	21.4%	9.9%	2.7%	.301	3.14	27.4%	22.5%	78	-0.88	2.29	160	79
Edward Paredes L 2018 · 3.81 FIP	31	SU	3.81	22.7%	11.9%	2.0%	.351	5.10	21.5%	14.2%	18	+1.29	2.36	130	78
Adam Liberatore L 2018 · 4.28 FIP	31	SU	4.28	18.6%	9.1%	2.9%	.354	—	—	—	—	—	2.38	124	77
Randy Flores L 2006 · 4.00 FIP	31	SU	4.00	20.4%	9.7%	2.5%	.333	3.30	18.1%	10.5%	93	-0.70	2.51	250	75
Brian Shouse L 2002 · 5.54 FIP	33	SU	5.54	15.5%	11.3%	4.2%	.245	3.31	16.3%	10.7%	159	-2.23	2.32	339	74
Nick Hagadone L 2017 · 3.74 FIP	31	SU	3.74	22.6%	9.3%	2.5%	.267	—	—	—	—	—	2.97	141	74
Andrew Barbosa L 2017 · 4.67 FIP	29	SU	4.67	20.2%	9.6%	3.8%	.301	—	—	—	—	—	2.70	175	74
Juan Pablo Perez L 2007 · 5.32 FIP	28	SU	5.32	17.5%	14.0%	3.5%	.324	—	—	—	—	—	1.75	104	74
David Purcey L 2013 · 3.79 FIP	31	SU	3.79	20.4%	11.5%	1.7%	.227	—	—	—	—	—	3.60	206	73
Buddy Baumann L 2018 · 4.87 FIP	30	SU	4.87	20.5%	11.9%	3.6%	.258	—	—	—	—	—	2.92	155	73
Jeremy Bleich L 2018 · 3.69 FIP	31	SU	3.69	20.3%	6.6%	2.7%	.296	4.41	20.1%	13.1%	33	+0.72	3.20	241	72
Ryan O'Rourke L 2019 · 4.08 FIP	31	SU	4.08	22.1%	14.3%	1.9%	.290	—	—	—	—	—	3.05	145	72
George Sherrill L 2008 · 3.86 FIP	31	SU	3.86	24.3%	11.3%	2.5%	.277	3.38	20.6%	12.4%	141	-0.48	2.74	323	71
Jason Gurka L 2019 · 5.13 FIP	31	SW	5.13	15.5%	7.6%	4.3%	.382	—	—	—	—	—	2.82	183	70
Tommy Phelps L 2005 · 3.98 FIP	31	SU	3.98	13.2%	7.5%	1.9%	.280	—	—	—	—	—	3.39	120	69
Tom Martin L 2001 · 5.68 FIP	31	SU	5.68	14.1%	9.4%	4.7%	.311	4.25	19.8%	11.1%	96	-1.43	3.40	303	68
James Jones L 2019 · 4.28 FIP	30	SU	4.28	21.9%	13.0%	2.5%	.230	4.65	23.9%	8.8%	35	+0.37	3.58	127	67
Buddy Boshers L 2019 · 3.73 FIP	31	SU	3.73	25.3%	10.4%	2.6%	.294	—	—	—	—	—	2.76	239	67
Vic Darensbourg L 2002 · 5.46 FIP	31	SU	5.46	14.2%	9.4%	4.3%	.304	4.11	9.4%	4.2%	22	-1.35	2.94	287	67
Mike Zagurski L 2012 · 4.48 FIP	29	SU	4.48	20.9%	11.7%	3.0%	.305	—	—	—	—	—	2.94	120	67

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	0.9	62	18.6%	10.4%	1.22	4.81
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*
Valerio De Los Santos ('08)	1.3	51	18.7%	11.5%	1.30	4.57
Mike Matthews ('05)	1.2	61	16.3%	11.3%	1.07	4.54
Kevin Hickey ('81-'91, 0 WAR*)	1.2	47	17.7%*	10.2%*	1.10*	4.27*
Bill Scherrer ('82-'88, 1 WAR*)	1.6	62	20.7%*	10.2%*	1.19*	4.44*