Gabe Mosser

P Tacoma Rainiers

Age 31 RHP 6'4" / 185 lbs AAA peak 0.6 · 2027

Overview

AAAPROSPECT

ETA2029MLB%10%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	28	AAASD	28	26	133	5.40	4.10	17.6%	8.2%	—	K 15.1% · BB 7.4% · FIP 4.19
2025	29	MIX2 levels	25	25	125	5.20	4.85	23.3%	9.0%	—	K 19.5% · BB 8.6% · FIP 5.45
2026	30	AAASEA	28	26	138	4.55	3.91	16.6%	7.1%	—	K 14.3% · BB 6.4% · FIP 4.14
2027PROJ	31	MLBSEA	2	2	9	4.94	4.94	15.2%	7.6%	0.0
2028PROJ37% MLB	32	MLBSEA	4	4	25	5.01	5.10	15.4%	8.0%	0.1
2029PROJ55% MLB	33	MLBSEA	6	6	34	4.99	5.01	17.4%	7.7%	0.2

Next 3 projected WAR 0.3Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff45Control50Command45

Career WAR0.0 WAR median (P10 -0.3 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsZack Segovia (age 32) · Juan Delgadillo (age 32) · Robert Ellis (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 127119vR 111

ERA4.94

FIP4.94

K%15.2%

BB%7.6%

K-BB%7.5%

Proj IP87

Value2027 · WAR

Runs saved vs league avg · 87 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL5050

CMD4545

K†3040

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	Fort Wayne TinCaps	3	0	12	48	18	3	0	0%	4.0	37.5%	6.2%	31.2%	0.0%	0.00	0.73	—
2018	22	A RAW	Fort Wayne TinCaps	3	0	12	48	18	3	0	0%	4.0	37.5%	6.2%	31.2%	0.0%	0.00	0.85	—
2019	23	MIX MLE	2 levels	22	19	108	465	110	25	9	86%	4.9	17.7%	6.3%	11.5%	2.5%	4.17	3.75	—
2019	23	MIX RAW	2 levels	22	19	108	465	110	25	9	86%	4.9	23.7%	5.4%	18.3%	1.9%	4.17	2.84	—
2021	25	A+ MLE	Fort Wayne TinCaps	21	14	80	337	72	23	7	67%	3.8	16.5%	7.8%	8.6%	2.5%	4.39	4.05	—
2021	25	A+ RAW	Fort Wayne TinCaps	21	14	80	337	72	23	7	67%	3.8	21.4%	6.8%	14.5%	2.1%	4.39	3.30	—
2022	26	AA MLE	San Antonio Missions	5	5	24	103	12	8	4	100%	4.7	9.4%	8.5%	0.9%	5.4%	4.94	6.32	—
2022	26	AA RAW	San Antonio Missions	5	5	24	103	12	8	4	100%	4.7	11.7%	7.8%	3.9%	3.9%	4.94	5.30	—
2023	27	MIX MLE	3 levels	17	12	53	241	53	20	11	71%	3.1	17.1%	8.5%	8.5%	7.3%	4.72	6.72	—
2023	27	MIX RAW	3 levels	17	12	53	241	53	20	11	71%	3.1	22.0%	8.3%	13.7%	4.6%	4.72	4.92	—
2024	28	AAA MLE	El Paso Chihuahuas	28	26	133	585	103	48	15	93%	4.8	15.1%	7.4%	7.8%	2.6%	5.40	4.19	—
2024	28	AAA MLE	El Paso Chihuahuas	28	26	133	585	103	48	15	93%	4.8	15.1%	7.4%	7.8%	2.6%	5.40	4.19	—
2024	28	AAA RAW	El Paso Chihuahuas	28	26	133	585	103	48	15	93%	4.8	17.6%	8.2%	9.4%	2.6%	5.40	4.10	—
2025	29	MIX MLE	2 levels	25	25	125	546	127	49	25	100%	5.0	19.5%	8.6%	11.0%	5.3%	5.20	5.45	—
2025	29	MIX MLE	2 levels	25	25	125	546	127	49	25	100%	5.0	19.5%	8.6%	11.0%	5.3%	5.20	5.45	—
2025	29	MIX RAW	2 levels	25	25	125	546	127	49	25	100%	5.0	23.3%	9.0%	14.3%	4.6%	5.20	4.85	—
2026	30	AAA MLE	Tacoma Rainiers	28	26	138	590	98	42	14	93%	4.9	14.3%	6.4%	7.9%	2.6%	4.55	4.14	—
2026	30	AAA MLE	Tacoma Rainiers	28	26	138	590	98	42	14	93%	4.9	14.3%	6.4%	7.9%	2.6%	4.55	4.14	—
2026	30	AAA RAW	Tacoma Rainiers	28	26	138	590	98	42	14	93%	4.9	16.6%	7.1%	9.5%	2.4%	4.55	3.91	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	31	MLB	SEA	2	2	9	38	6	3	1	100%	4.5	15.2%	7.6%	7.5%	3.2%	4.94	4.94	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	32	MLB MLE	SEA	11	11	68	288	44	23	10	100%	6.2	15.4%	8.0%	7.4%	3.5%	5.01	5.10	+0.2
2029	33	MLB MLE	SEA	10	10	62	260	45	20	10	100%	6.2	17.4%	7.7%	9.7%	3.7%	4.99	5.01	+0.3
2030	34	MLB MLE	SEA	8	8	51	215	37	18	9	100%	6.4	17.1%	8.2%	8.9%	4.0%	5.14	5.25	+0.1
2028	32	MLB CTX	SEA	4	4	25	106	16	8	4	100%	6.2	15.4%	8.0%	7.4%	3.5%	5.01	5.10	+0.1
2029	33	MLB CTX	SEA	6	6	34	144	25	11	5	100%	5.7	17.4%	7.7%	9.7%	3.7%	4.99	5.01	+0.2
2030	34	MLB CTX	SEA	4	4	26	110	19	9	4	100%	6.5	17.1%	8.2%	8.9%	4.0%	5.14	5.25	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		14	14	85	358	60	28	13	100%	6.1	16.7%	7.9%	8.8%	3.7%	5.04	4.73	+0.7
/ 200 IP	—	RAW		33	33	200	844	141	66	31	100%	6.0	16.7%	7.9%	8.8%	3.7%	5.04	4.73	+1.5
Career	—	MLE		149	127	673	2915	486	216	102	85%	4.5	16.7%	7.4%	9.3%	3.5%	4.70	4.56	+0.6
/ 200 IP	—	MLE		44	38	200	866	144	64	30	85%	4.5	16.7%	7.4%	9.3%	3.5%	4.70	4.56	+0.7

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 · 138 IPFIP 3.90 → 4.14 (+0.24)K% 16.6% → 14.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.61%	—	×0.860	14.28%
BB% (unintentional) /BF	7.12%	—	×0.900	6.41%
HR / BF /BF	2.37%	÷1.000	×1.100	2.61%

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 3.90 → 4.14, 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 AAALehigh Valley IronPigs · 83 IPFIP 5.41 → 5.99 (+0.58)K% 20.9% → 18.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.92%	—	×0.860	17.99%
BB% (unintentional) /BF	9.78%	—	×0.900	8.80%
HR / BF /BF	5.16%	÷0.947	×1.100	6.00%

Result: FIP 5.41 → 5.99, 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 AAReading Fightin Phils · 41 IPFIP 3.50 → 4.34 (+0.84)K% 28.1% → 22.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.09%	—	×0.810	22.75%
BB% (unintentional) /BF	7.30%	—	×1.100	8.03%
HR / BF /BF	3.37%	÷1.036	×1.200	3.90%

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 107).

Result: FIP 3.50 → 4.34, 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 AAAEl Paso Chihuahuas · 133 IPFIP 4.06 → 4.19 (+0.13)K% 17.6% → 15.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.61%	—	×0.860	15.14%
BB% (unintentional) /BF	8.21%	—	×0.900	7.38%
HR / BF /BF	2.56%	÷1.078	×1.100	2.62%

Result: FIP 4.06 → 4.19, 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 AASan Antonio Missions · 38 IPFIP 5.94 → 7.87 (+1.93)K% 18.5% → 14.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.45%	—	×0.810	14.95%
BB% (unintentional) /BF	8.93%	—	×1.100	9.82%
HR / BF /BF	5.95%	÷0.820	×1.200	8.72%

Result: FIP 5.94 → 7.87, 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 ROKACL Padres · 12 IPFIP 1.64 → 3.22 (+1.58)K% 34.5% → 23.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.55%	—	×0.680	23.49%
BB% (unintentional) /BF	3.64%	—	×1.250	4.55%
HR / BF /BF	1.82%	÷0.912	×1.400	2.79%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 82).

Result: FIP 1.64 → 3.22, 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 AASan Antonio Missions · 24 IPFIP 5.23 → 6.32 (+1.09)K% 11.7% → 9.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	11.65%	—	×0.810	9.44%
BB% (unintentional) /BF	7.77%	—	×1.100	8.54%
HR / BF /BF	3.88%	÷0.870	×1.200	5.36%

Result: FIP 5.23 → 6.32, 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).

2021 A+Fort Wayne TinCaps · 80 IPFIP 3.30 → 4.05 (+0.75)K% 21.4% → 16.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.36%	—	×0.770	16.45%
BB% (unintentional) /BF	6.82%	—	×1.150	7.85%
HR / BF /BF	2.08%	÷1.057	×1.250	2.46%

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 111).

Result: FIP 3.30 → 4.05, 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
Gabe Mosser (OGILVIE)	—	—	4.94	15.2%	7.6%	3.2%	—	5.11	16.6%	8.6%	181	+0.17	—	—	—
Zack Segovia R 2015 · 4.78 FIP	32	SP	4.78	15.0%	8.3%	3.4%	.314	3.33	20.2%	14.3%	39	-1.45	3.33	144	86
Juan Delgadillo R 2015 · 4.54 FIP	32	SP	4.54	15.5%	7.2%	3.3%	.316	4.47	10.9%	4.7%	39	-0.07	4.47	143	84
Robert Ellis R 2001 · 4.84 FIP	30	SP	4.84	9.9%	7.7%	2.9%	.287	8.08	9.0%	-2.2%	18	+3.24	4.84	110	83
Tyler Herron R 2017 · 4.02 FIP	30	SP	4.02	16.4%	8.7%	2.2%	.377	—	—	—	—	—	4.02	117	78
Daniel Guerrero R 2016 · 4.81 FIP	31	SP	4.81	12.4%	11.6%	2.3%	.328	4.93	11.7%	2.0%	175	+0.12	4.61	269	77
David Fletcher R 2024 · 5.67 FIP	30	SP-	5.67	7.5%	10.3%	3.5%	.294	—	—	—	—	—	5.67	100	76
Patrick Johnson R 2019 · 4.14 FIP	30	SP	4.14	15.7%	9.3%	2.2%	.344	—	—	—	—	—	3.82	248	76
Andres Ivan Meza R 2017 · 4.14 FIP	30	SP	4.14	12.5%	8.5%	1.8%	.351	4.33	11.7%	4.0%	89	+0.19	4.14	275	75
Elian Leyva R 2019 · 4.30 FIP	30	SP-	4.30	17.0%	8.5%	2.9%	.323	—	—	—	—	—	3.10	158	75
Leo Medrano R 2015 · 3.76 FIP	32	SP	3.76	14.2%	3.9%	2.5%	.354	4.34	11.0%	3.7%	113	+0.58	3.76	222	75
Kenshin Kawakami R 2009 · 3.97 FIP	34	SP-	3.97	15.7%	7.6%	2.2%	.277	4.06	15.1%	9.5%	87	+0.09	3.97	244	74
Miguel Ruiz R 2017 · 5.60 FIP	31	SP	5.60	10.6%	11.0%	3.6%	.279	—	—	—	—	—	5.60	117	74
Matt Buschmann R 2015 · 4.03 FIP	31	SP	4.03	17.2%	8.7%	2.3%	.282	4.84	12.8%	4.4%	142	+0.81	4.03	277	73
Michael Nix R 2015 · 3.82 FIP	32	SP	3.82	12.4%	8.9%	1.2%	.310	4.60	11.9%	0.3%	115	+0.78	3.82	234	73
Jose Samayoa R 2019 · 4.05 FIP	29	SP	4.05	19.4%	7.0%	3.1%	.314	—	—	—	—	—	3.44	262	73
Cody Mincey R 2022 · 5.56 FIP	30	SP	5.56	13.9%	8.4%	4.7%	.297	—	—	—	—	—	2.49	147	72
Danny Gutierrez R 2017 · 4.11 FIP	30	SP	4.11	15.1%	6.1%	2.8%	.362	—	—	—	—	—	3.34	239	72
Nate Long R 2015 · 4.67 FIP	29	SP	4.67	14.8%	10.6%	2.7%	.285	—	—	—	—	—	4.67	151	72
Juan Omar Espinoza R 2015 · 4.81 FIP	31	SP-	4.81	8.9%	6.6%	3.0%	.346	4.84	8.4%	-0.8%	52	+0.03	4.81	104	72
Scott McGregor R 2015 · 4.37 FIP	28	SP-	4.37	11.8%	7.6%	2.4%	.293	—	—	—	—	—	4.37	107	72

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	1.3	67	16.1%	7.9%	1.37	5.01
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
Steve Kealey ('68-'73, -1 WAR*)	1.1	54	18.5%*	7.2%*	1.32*	5.26*
JC Ramírez ('19)	1.4	72	16.4%	8.4%	1.44	4.71
Chuck Hartenstein ('66-'77, -1 WAR*)	1.5	59	13.7%*	7.2%*	1.50*	5.28*
Paul Reuschel ('75-'79, 1 WAR*)	2.0	79	16.8%*	7.6%*	1.29*	4.76*