Michael Dominguez

P New Hampshire Fisher Cats

Age 26 RHP 5'10" / 175 lbs AA peak 0.1 · 2027

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	22	MIX2 levels	23	23	102	3.87	5.03	28.0%	16.8%	—	K 21.9% · BB 19.0% · FIP 6.11
2024	23	AATOR	22	22	97	4.56	5.41	20.1%	13.6%	—	K 16.3% · BB 14.9% · FIP 5.98
2025	24	AATOR	23	6	50	5.22	4.74	26.6%	12.7%	—	K 21.6% · BB 13.9% · FIP 5.97
2026	25	No MLB games played
2027PROJ	26	MLBTOR	1	1	2	5.49	5.49	20.1%	14.6%	-0.0
2028PROJ38% MLB	27	MLBTOR	6	6	35	5.38	5.40	20.2%	14.0%	0.0
2029PROJ60% MLB	28	MLBTOR	8	8	49	5.36	5.40	20.2%	13.7%	0.0

Next 3 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff50Control35Command45

CompsNick Pasquale (age 26) · Luis Santos (age 26) · Derek True (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 137129vR 121

ERA5.49

FIP5.49

K%20.1%

BB%14.6%

K-BB%5.5%

Proj IP122

Value2027 · WAR

Runs saved vs league avg · 122 IP

Grades · Contract

Scouting Grades

STUF5050

CTRL3535

CMD4545

K†5050

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	18	ROK MLE	GCL Blue Jays	9	3	24	95	29	10	1	33%	2.7	20.8%	13.2%	7.6%	1.5%	1.12	3.82	—
2019	18	ROK RAW	GCL Blue Jays	9	3	24	95	29	10	1	33%	2.7	30.5%	10.5%	20.0%	1.1%	1.12	2.48	—
2021	20	MIX MLE	2 levels	11	9	39	169	44	14	4	82%	3.5	17.9%	11.1%	6.9%	2.0%	3.72	4.09	—
2021	20	MIX RAW	2 levels	11	9	39	169	44	14	4	82%	3.5	26.0%	8.3%	17.8%	2.4%	3.72	3.26	—
2022	21	MIX MLE	2 levels	20	18	81	350	104	31	11	90%	4.0	22.3%	10.3%	12.0%	4.3%	5.02	4.91	—
2022	21	MIX RAW	2 levels	20	18	81	350	104	31	11	90%	4.0	29.7%	8.9%	20.9%	3.1%	5.02	3.45	—
2023	22	MIX MLE	2 levels	23	23	102	429	120	72	17	100%	4.4	21.9%	19.0%	2.9%	4.5%	3.87	6.11	—
2023	22	MIX RAW	2 levels	23	23	102	429	120	72	17	100%	4.4	28.0%	16.8%	11.2%	4.0%	3.87	5.03	—
2024	23	AA MLE	New Hampshire Fisher Cats	22	22	97	413	83	56	17	100%	4.4	16.3%	14.9%	1.4%	4.3%	4.56	5.98	—
2024	23	AA MLE	New Hampshire Fisher Cats	22	22	97	413	83	56	17	100%	4.4	16.3%	14.9%	1.4%	4.3%	4.56	5.98	—
2024	23	AA RAW	New Hampshire Fisher Cats	22	22	97	413	83	56	17	100%	4.4	20.1%	13.6%	6.5%	4.1%	4.56	5.41	—
2025	24	AA MLE	New Hampshire Fisher Cats	23	6	50	229	61	29	9	26%	2.2	21.6%	13.9%	7.6%	5.3%	5.22	5.97	—
2025	24	AA MLE	New Hampshire Fisher Cats	23	6	50	229	61	29	9	26%	2.2	21.6%	13.9%	7.6%	5.3%	5.22	5.97	—
2025	24	AA RAW	New Hampshire Fisher Cats	23	6	50	229	61	29	9	26%	2.2	26.6%	12.7%	14.0%	3.9%	5.22	4.74	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	TOR	1	1	2	8	2	1	0	100%	2.0	20.1%	14.6%	5.5%	3.4%	5.49	5.49	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	TOR	16	16	94	398	81	56	13	100%	5.9	20.2%	14.0%	6.2%	3.4%	5.38	5.40	0.0
2029	28	MLB MLE	TOR	14	14	82	345	70	47	12	100%	5.8	20.2%	13.7%	6.6%	3.5%	5.36	5.40	0.0
2030	29	MLB MLE	TOR	12	12	74	312	63	42	11	100%	6.2	20.1%	13.6%	6.5%	3.6%	5.40	5.47	-0.1
2031	30	MLB MLE	TOR	11	11	66	281	56	39	11	100%	6.0	19.8%	13.8%	6.0%	3.8%	5.52	5.62	-0.2
2028	27	MLB CTX	TOR	6	6	35	148	30	21	5	100%	5.8	20.2%	14.0%	6.2%	3.4%	5.38	5.40	0.0
2029	28	MLB CTX	TOR	8	8	49	207	42	28	7	100%	6.1	20.2%	13.7%	6.6%	3.5%	5.36	5.40	0.0
2030	29	MLB CTX	TOR	9	9	52	220	44	30	8	100%	5.8	20.1%	13.6%	6.5%	3.6%	5.40	5.47	-0.0
2031	30	MLB CTX	TOR	9	9	52	220	43	30	8	100%	5.8	19.8%	13.8%	6.0%	3.8%	5.52	5.62	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		31	31	188	795	160	109	28	100%	6.1	20.1%	13.7%	6.3%	3.6%	5.42	5.10	+0.6
/ 200 IP	—	RAW		33	33	200	844	170	116	30	100%	6.0	20.1%	13.7%	6.3%	3.6%	5.42	5.10	+0.7
Career	—	MLE		108	81	392	1685	339	243	69	75%	3.6	20.1%	14.4%	5.7%	4.1%	4.27	5.48	-0.2
/ 200 IP	—	MLE		55	41	200	859	173	124	35	75%	3.6	20.1%	14.4%	5.7%	4.1%	4.27	5.48	-0.1

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.

2025 AANew Hampshire Fisher Cats · 50 IPFIP 4.61 → 5.97 (+1.35)K% 26.6% → 21.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.64%	—	×0.810	21.58%
BB% (unintentional) /BF	12.66%	—	×1.100	13.93%
HR / BF /BF	3.93%	÷0.885	×1.200	5.33%

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 77).

Result: FIP 4.61 → 5.97, 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 AANew Hampshire Fisher Cats · 97 IPFIP 5.38 → 5.98 (+0.60)K% 20.1% → 16.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.10%	—	×0.810	16.28%
BB% (unintentional) /BF	13.56%	—	×1.100	14.92%
HR / BF /BF	4.12%	÷1.145	×1.200	4.31%

Result: FIP 5.38 → 5.98, 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+Vancouver Canadians · 67 IPFIP 4.10 → 4.97 (+0.87)K% 28.0% → 21.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.01%	—	×0.770	21.57%
BB% (unintentional) /BF	17.38%	—	×1.150	19.98%
HR / BF /BF	2.13%	÷1.253	×1.250	2.12%

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 151).

Result: FIP 4.10 → 4.97, 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 AANew Hampshire Fisher Cats · 36 IPFIP 6.83 → 8.30 (+1.47)K% 27.9% → 22.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.89%	—	×0.810	22.59%
BB% (unintentional) /BF	15.65%	—	×1.100	17.21%
HR / BF /BF	7.48%	÷1.000	×1.200	8.98%

Result: FIP 6.83 → 8.30, 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 ADunedin Blue Jays · 51 IPFIP 3.40 → 4.94 (+1.54)K% 29.1% → 21.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.07%	—	×0.740	21.52%
BB% (unintentional) /BF	8.37%	—	×1.180	9.88%
HR / BF /BF	3.08%	÷0.916	×1.300	4.37%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. 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 3.40 → 4.94, 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 A+Vancouver Canadians · 30 IPFIP 3.51 → 4.86 (+1.34)K% 30.9% → 23.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.89%	—	×0.770	23.79%
BB% (unintentional) /BF	9.76%	—	×1.150	11.22%
HR / BF /BF	3.25%	÷0.952	×1.250	4.27%

Result: FIP 3.51 → 4.86, 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 ADunedin Blue Jays · 30 IPFIP 3.10 → 4.09 (+0.99)K% 24.2% → 17.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.22%	—	×0.740	17.92%
BB% (unintentional) /BF	9.38%	—	×1.180	11.06%
HR / BF /BF	1.56%	÷1.010	×1.300	2.01%

Result: FIP 3.10 → 4.09, 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 ROKFCL Blue Jays · 9 IPFIP 3.72 → 5.80 (+2.08)K% 31.7% → 21.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.71%	—	×0.680	21.56%
BB% (unintentional) /BF	4.88%	—	×1.250	6.10%
HR / BF /BF	4.88%	÷1.000	×1.400	6.83%

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 100).

Result: FIP 3.72 → 5.80, 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 Dominguez (OGILVIE)	—	—	5.49	20.1%	14.6%	3.4%	—	5.42	20.2%	6.4%	250	-0.07	—	—	—
Nick Pasquale R 2017 · 4.74 FIP	26	SP-	4.74	16.8%	12.7%	2.6%	.306	3.80	17.9%	6.3%	50	-0.94	3.19	308	84
Luis Santos R 2017 · 4.76 FIP	26	SP-	4.76	19.7%	9.7%	3.8%	.262	3.93	22.1%	13.0%	127	-0.83	3.53	472	77
Derek True R 2024 · 4.90 FIP	23	SP-	4.90	18.5%	10.5%	3.7%	.333	4.95	17.6%	5.9%	73	+0.05	4.50	170	77
Jacob Meador R 2024 · 5.34 FIP	23	SP-	5.34	15.6%	14.0%	3.2%	.301	6.73	14.7%	-6.6%	50	+1.39	5.34	139	77
Reid Johnston R 2023 · 5.00 FIP	24	SP-	5.00	19.5%	13.9%	3.3%	.256	5.86	17.2%	2.4%	31	+0.86	3.74	234	76
Nic Swanson R 2024 · 4.91 FIP	25	SP	4.91	19.3%	11.8%	3.5%	.286	5.43	19.9%	6.5%	132	+0.52	4.29	438	75
Cody Sedlock R 2021 · 5.05 FIP	26	SP-	5.05	19.9%	10.9%	4.1%	.301	4.21	20.1%	7.1%	80	-0.84	4.21	378	75
Osvaldo Bido R 2022 · 5.11 FIP	26	SP-	5.11	21.2%	13.3%	3.9%	.281	4.28	21.2%	12.1%	322	-0.83	3.67	732	74
Alejandro Martinez R 2015 · 4.46 FIP	26	SP-	4.46	17.5%	10.9%	2.7%	.393	4.24	9.2%	3.9%	53	-0.22	4.24	166	74
Elijah Dale R 2024 · 4.55 FIP	23	SP	4.55	16.7%	13.6%	2.1%	.239	6.48	18.4%	-1.6%	31	+1.93	4.55	140	74
Jake Bockenstedt R 2024 · 6.05 FIP	24	SP	6.05	17.0%	13.1%	5.0%	.322	4.35	16.8%	5.4%	126	-1.70	3.74	218	74
Deylen Miley R 2023 · 5.34 FIP	25	SP-	5.34	22.3%	17.5%	3.5%	.336	—	—	—	—	—	2.07	185	74
Forrest Snow R 2015 · 5.03 FIP	26	SP-	5.03	16.1%	8.2%	4.1%	.263	4.14	21.8%	14.2%	256	-0.89	3.02	406	74
David Griffin R 2022 · 4.71 FIP	26	SP-	4.71	16.6%	9.8%	3.2%	.285	5.83	14.2%	5.0%	81	+1.12	4.43	239	74
Justin Armbruester R 2024 · 5.73 FIP	25	SP	5.73	20.2%	11.1%	5.3%	.289	1.49	27.5%	21.9%	15	-4.24	1.49	373	73
Bubba Derby R 2019 · 5.42 FIP	25	SP-	5.42	18.0%	10.1%	4.7%	.287	5.14	19.4%	11.0%	71	-0.28	3.68	550	72
M.D. Johnson R 2023 · 5.64 FIP	26	SP	5.64	16.4%	12.7%	4.2%	.254	3.52	14.6%	4.7%	67	-2.12	3.52	395	72
Andrew Quezada R 2023 · 5.33 FIP	26	SP-	5.33	14.4%	9.5%	4.1%	.344	4.90	12.7%	5.3%	173	-0.43	4.40	412	72
D.J. Houlton R 2005 · 4.85 FIP	25	SP-	4.85	15.6%	8.5%	3.6%	.297	4.74	18.6%	12.4%	28	-0.11	4.74	157	72
J.P. Massey R 2024 · 4.72 FIP	24	SP	4.72	16.1%	14.2%	2.1%	.283	5.71	15.5%	-1.3%	46	+0.99	4.72	195	72

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 2,161 pitcher careers (1,251 from 1990-2025 + 910 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	2.2	88	20.1%	14.0%	1.35	5.43
Paul Spoljaric ('00)	1.4	69	22.1%	12.9%	1.33	5.52
Britt Reames ('06)	1.1	73	20.7%	12.0%	1.32	5.28
Seth McClung ('09)	2.2	86	16.2%	13.1%	1.28	5.46
Frank Kreutzer ('62-'69, -1 WAR*)	1.1	70	20.0%*	11.6%*	1.21*	5.31*
Bob Gibson ('83-'87, -0 WAR*)	1.3	67	20.4%*	14.0%*	1.14*	4.52*
Steve Baker ('78-'83, -1 WAR*)	1.2	59	19.6%*	11.7%*	1.22*	5.39*