Devereaux Harrison

P Buffalo Bisons

Age 26 RHP 6'0" / 190 lbs AAA

Overview

AAAPROSPECT

ETA2028MLB%10%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	AATOR	26	26	132	4.65	4.44	19.5%	9.7%	—	K 15.8% · BB 10.7% · FIP 4.94
2025	24	MIX2 levels	34	14	98	3.95	3.90	23.3%	13.5%	—	K 19.0% · BB 14.5% · FIP 4.72
2026	25	MIX2 levels	40	4	72	6.66	4.30	19.8%	12.7%	—	K 15.1% · BB 11.5% · FIP 4.73
2027PROJ	26	MLBTOR	7	0	7	5.39	5.39	15.8%	13.4%	-0.1
2028PROJ43% MLB	27	MLBTOR	26	0	27	5.30	5.31	16.4%	12.9%	-0.2
2029PROJ63% MLB	28	MLBTOR	31	0	33	5.28	5.32	16.7%	12.7%	-0.3

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

Contract

No contract data on file.

Scouting grades · 20-80

Stuff45Control35Command45

Career WAR0.0 WAR median (P10 -0.4 / P90 1.1, comp-based) · star 0% · didn't stick 96%

CompsDennis O'Grady (age 26) · Brad Allen (age 26) · Cameron Foster (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 136127vR 119

ERA5.39

FIP5.39

K%15.8%

BB%13.4%

K-BB%2.4%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL3535

CMD4545

K†3045

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)
2022	21	MIX MLE	2 levels	9	0	11	53	12	6	1	0%	1.3	22.6%	11.3%	11.3%	1.9%	3.97	3.66	—
2022	21	MIX RAW	2 levels	9	0	11	53	12	6	1	0%	1.3	22.6%	11.3%	11.3%	1.9%	3.97	3.72	—
2023	22	A+ MLE	Vancouver Canadians	26	16	95	386	88	38	14	62%	3.6	17.6%	11.3%	6.2%	3.6%	2.95	5.04	—
2023	22	A+ RAW	Vancouver Canadians	26	16	95	386	88	38	14	62%	3.6	22.8%	9.8%	13.0%	3.6%	2.95	4.37	—
2024	23	AA MLE	New Hampshire Fisher Cats	26	26	132	568	111	55	18	100%	5.1	15.8%	10.7%	5.2%	3.3%	4.65	4.94	—
2024	23	AA MLE	New Hampshire Fisher Cats	26	26	132	568	111	55	18	100%	5.1	15.8%	10.7%	5.2%	3.3%	4.65	4.94	—
2024	23	AA RAW	New Hampshire Fisher Cats	26	26	132	568	111	55	18	100%	5.1	19.5%	9.7%	9.9%	3.2%	4.65	4.44	—
2025	24	MIX MLE	2 levels	34	14	98	429	100	58	8	41%	2.9	19.0%	14.5%	4.5%	2.5%	3.95	4.72	—
2025	24	MIX MLE	2 levels	34	14	98	429	100	58	8	41%	2.9	19.0%	14.5%	4.5%	2.5%	3.95	4.72	—
2025	24	MIX RAW	2 levels	34	14	98	429	100	58	8	41%	2.9	23.3%	13.5%	9.8%	1.9%	3.95	3.90	—
2026	25	MIX MLE	2 levels	40	4	72	323	64	41	7	10%	1.8	15.1%	11.5%	3.6%	2.7%	6.66	4.73	—
2026	25	MIX MLE	2 levels	40	4	72	323	64	41	7	10%	1.8	15.1%	11.5%	3.6%	2.7%	6.66	4.73	—
2026	25	MIX RAW	2 levels	40	4	72	323	64	41	7	10%	1.8	19.8%	12.7%	7.1%	2.2%	6.66	4.30	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	TOR	7	0	7	30	5	4	1	0%	1.0	15.8%	13.4%	2.4%	2.8%	5.39	5.39	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	TOR	60	0	63	266	44	34	8	0%	1.1	16.4%	12.9%	3.5%	2.9%	5.30	5.31	-0.5
2029	28	MLB MLE	TOR	51	0	53	224	37	28	7	0%	1.0	16.7%	12.7%	4.1%	3.0%	5.28	5.32	-0.4
2030	29	MLB MLE	TOR	45	0	48	201	34	25	6	0%	1.1	16.8%	12.6%	4.1%	3.2%	5.33	5.40	-0.4
2031	30	MLB MLE	TOR	43	0	45	191	35	23	6	0%	1.1	18.5%	12.0%	6.5%	3.3%	5.28	5.28	-0.4
2028	27	MLB CTX	TOR	26	0	27	114	19	15	3	0%	1.0	16.4%	12.9%	3.5%	2.9%	5.30	5.31	-0.2
2029	28	MLB CTX	TOR	31	0	33	139	23	18	4	0%	1.1	16.7%	12.7%	4.1%	3.0%	5.28	5.32	-0.3
2030	29	MLB CTX	TOR	33	0	35	148	25	19	5	0%	1.1	16.8%	12.6%	4.1%	3.2%	5.33	5.40	-0.3
2031	30	MLB CTX	TOR	34	0	36	152	28	18	5	0%	1.1	18.5%	12.0%	6.5%	3.3%	5.28	5.28	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		125	0	131	552	95	69	17	0%	1.0	17.2%	12.5%	4.6%	3.1%	5.30	4.95	-0.6
/ 200 IP	—	RAW		190	0	200	844	145	106	26	0%	1.1	17.2%	12.5%	4.6%	3.1%	5.30	4.95	-0.9
Career	—	MLE		135	60	407	1759	300	209	53	44%	3.0	17.0%	11.9%	5.1%	3.0%	4.42	4.83	-1.9
/ 200 IP	—	MLE		66	29	200	864	147	103	26	44%	3.0	17.0%	11.9%	5.1%	3.0%	4.42	4.83	-1.8

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 AAABuffalo Bisons · 65 IPFIP 4.56 → 4.73 (+0.18)K% 17.6% → 15.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.59%	—	×0.860	15.12%
BB% (unintentional) /BF	12.76%	—	×0.900	11.48%
HR / BF /BF	2.41%	÷1.000	×1.100	2.66%

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 4.56 → 4.73, 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).

2026 AANew Hampshire Fisher Cats · 7 IPFIP 1.31 → 2.09 (+0.79)K% 39.4% → 31.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	39.39%	—	×0.810	31.91%
BB% (unintentional) /BF	12.12%	—	×1.100	13.33%
HR / BF /BF	0.00%	÷1.000	×1.200	0.00%

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 100).

Result: FIP 1.31 → 2.09, 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).

2025 AANew Hampshire Fisher Cats · 88 IPFIP 3.83 → 4.80 (+0.97)K% 24.7% → 20.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.67%	—	×0.810	19.98%
BB% (unintentional) /BF	13.00%	—	×1.100	14.30%
HR / BF /BF	2.12%	÷0.885	×1.200	2.88%

Result: FIP 3.83 → 4.80, 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).

2025 AAABuffalo Bisons · 10 IPFIP 4.16 → 4.10 (−0.06)K% 13.5% → 11.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	13.46%	—	×0.860	11.58%
BB% (unintentional) /BF	17.31%	—	×0.900	15.58%
HR / BF /BF	0.00%	÷0.847	×1.100	0.00%

Result: FIP 4.16 → 4.10, 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 · 132 IPFIP 4.42 → 4.94 (+0.52)K% 19.5% → 15.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.54%	—	×0.810	15.83%
BB% (unintentional) /BF	9.68%	—	×1.100	10.65%
HR / BF /BF	3.17%	÷1.145	×1.200	3.32%

Result: FIP 4.42 → 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).

2023 A+Vancouver Canadians · 95 IPFIP 4.41 → 5.04 (+0.62)K% 22.8% → 17.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.80%	—	×0.770	17.55%
BB% (unintentional) /BF	9.84%	—	×1.150	11.32%
HR / BF /BF	3.63%	÷1.253	×1.250	3.62%

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 4.41 → 5.04, 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 · 7 IPFIP 2.28 → 3.21 (+0.93)K% 29.0% → 21.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.03%	—	×0.740	21.48%
BB% (unintentional) /BF	12.90%	—	×1.180	15.23%
HR / BF /BF	0.00%	÷0.916	×1.300	0.00%

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 2.28 → 3.21, 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 · 4 IPFIP 5.59 → 6.81 (+1.22)K% 13.6% → 10.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	13.64%	—	×0.770	10.50%
BB% (unintentional) /BF	9.09%	—	×1.150	10.45%
HR / BF /BF	4.55%	÷0.952	×1.250	5.97%

Result: FIP 5.59 → 6.81, 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
Devereaux Harrison (OGILVIE)	—	—	5.39	15.8%	13.4%	2.8%	—	5.34	16.6%	3.9%	164	-0.05	—	—	—
Dennis O'Grady R 2015 · 4.95 FIP	26	SW	4.95	13.5%	11.0%	2.9%	.339	—	—	—	—	—	3.62	157	87
Brad Allen R 2015 · 4.25 FIP	26	SW	4.25	14.0%	12.6%	1.3%	.315	5.82	14.7%	1.5%	87	+1.57	4.25	149	86
Cameron Foster R 2024 · 4.83 FIP	25	SW	4.83	17.4%	11.5%	3.2%	.321	3.09	25.5%	17.5%	60	-1.74	2.50	213	84
Cooper Adams R 2024 · 5.42 FIP	24	SW	5.42	13.0%	12.2%	3.4%	.275	4.32	21.7%	10.4%	141	-1.10	3.05	221	83
Tyler Yates R 2004 · 4.47 FIP	26	SW	4.47	15.4%	9.6%	2.6%	.333	3.64	22.5%	13.5%	116	-0.83	3.23	248	82
Nick Hull R 2024 · 4.62 FIP	24	SW	4.62	19.0%	12.2%	2.9%	.296	5.00	16.8%	6.2%	111	+0.38	4.26	292	81
Ranfi Casimiro R 2018 · 4.62 FIP	26	SW	4.62	16.4%	10.7%	2.8%	.285	4.93	8.4%	-0.2%	16	+0.31	3.81	420	81
Robbie Peto R 2023 · 5.75 FIP	25	SW	5.75	15.3%	13.4%	4.1%	.325	—	—	—	—	—	5.39	232	81
Colby Morris R 2022 · 5.76 FIP	25	SW	5.76	16.2%	11.8%	4.6%	.268	—	—	—	—	—	4.11	105	81
Joe Record R 2021 · 4.82 FIP	26	SW	4.82	16.6%	15.3%	2.2%	.236	3.55	20.8%	9.1%	172	-1.27	2.64	280	81
Josh Roeder R 2019 · 4.71 FIP	26	SW	4.71	15.1%	8.7%	3.3%	.264	—	—	—	—	—	4.71	175	80
Cullen Kafka R 2023 · 4.95 FIP	24	SW	4.95	14.2%	12.1%	2.8%	.330	—	—	—	—	—	3.64	148	80
Bryce Conley R 2021 · 4.31 FIP	26	SW	4.31	17.9%	12.2%	2.2%	.285	4.22	16.4%	5.3%	48	-0.09	4.22	560	80
Dakota Hawkins R 2024 · 4.31 FIP	24	SW	4.31	16.3%	8.9%	2.7%	.277	4.32	19.4%	10.4%	102	+0.01	3.50	186	79
Grant Black R 2021 · 4.46 FIP	27	SW	4.46	19.0%	13.9%	2.2%	.327	5.35	15.0%	3.8%	156	+0.89	4.46	215	79
Andrew Bash R 2023 · 4.61 FIP	26	SW	4.61	17.9%	12.7%	2.6%	.249	4.02	17.4%	7.8%	231	-0.59	3.46	483	78
Carlos Tavera R 2024 · 5.12 FIP	25	SW	5.12	18.3%	13.3%	3.4%	.299	5.43	21.9%	8.8%	29	+0.31	3.85	263	78
Logan Verrett R 2016 · 5.19 FIP	26	SW	5.19	15.4%	10.6%	3.7%	.283	4.65	17.8%	11.8%	94	-0.54	3.81	550	78
Danny Kirwin R 2024 · 4.19 FIP	24	SW	4.19	17.9%	9.9%	2.4%	.262	5.33	16.8%	4.6%	91	+1.14	4.16	161	78
Paulshawn Pasqualotto R 2024 · 4.84 FIP	23	SW	4.84	15.6%	9.5%	3.4%	.354	3.77	20.2%	10.8%	111	-1.07	3.73	186	77

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	1.4	56	16.7%	12.8%	1.17	5.32
Mike Mohler ('01)	2.1	60	15.0%	12.4%	0.97	4.99
Tyler Yates ('09)	1.2	62	19.7%	12.0%	0.94	5.12
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*