Yondrei Rojas

P New Hampshire Fisher Cats

Age 24 RHP 5'11" / 180 lbs AA

Overview

AAPROSPECT

ETA2028MLB%2%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	21	ATOR	33	43	4.36	3.49	29.1%	11.2%	—	K 21.5% · BB 13.2% · FIP 4.77
2025	22	MIX2 levels	30	38	1.43	1.83	32.4%	7.6%	—	K 25.3% · BB 8.6% · FIP 2.60
2026	23	MIX3 levels	40	49	5.47	4.11	20.6%	9.3%	—	K 16.5% · BB 10.0% · FIP 4.74
2027PROJ	24	MLBTOR	1	1	4.72	4.72	19.2%	9.9%	-0.0
2028PROJ44% MLB	25	MLBTOR	19	20	4.62	4.57	20.2%	9.5%	-0.0
2029PROJ67% MLB	26	MLBTOR	26	27	4.56	4.52	20.8%	9.4%	0.0

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

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 -0.3 / P90 0.4, comp-based) · star 0% · didn't stick 96%

CompsJames McDonald (age 24) · Colby Morris (age 24) · Austin Ross (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 123115vR 107

ERA4.72

FIP4.72

K%19.2%

BB%9.9%

K-BB%9.3%

Proj IP57

Value2027 · WAR

Runs saved vs league avg · 57 IP

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)
2021	18	ROK MLE	DSL Blue Jays	16	0	21	96	27	9	0	0%	1.3	19.1%	11.7%	7.4%	0.0%	2.95	2.97	—
2021	18	ROK RAW	DSL Blue Jays	16	0	21	96	27	9	0	0%	1.3	28.1%	9.4%	18.8%	0.0%	2.95	1.83	—
2022	19	MIX MLE	2 levels	11	8	46	187	43	12	5	73%	4.2	16.0%	7.8%	8.2%	4.1%	4.89	4.97	—
2022	19	MIX RAW	2 levels	11	8	46	187	43	12	5	73%	4.2	23.0%	6.4%	16.6%	2.7%	4.89	3.43	—
2023	20	MIX MLE	2 levels	16	9	53	242	46	22	5	56%	3.3	14.0%	11.2%	2.8%	2.3%	5.60	4.59	—
2023	20	MIX RAW	2 levels	16	9	53	242	46	22	5	56%	3.3	19.0%	9.1%	9.9%	2.1%	5.60	3.84	—
2024	21	A MLE	Dunedin Blue Jays	33	0	43	196	57	22	5	0%	1.3	21.5%	13.2%	8.3%	3.3%	4.36	4.77	—
2024	21	A MLE	Dunedin Blue Jays	33	0	43	196	57	22	5	0%	1.3	21.5%	13.2%	8.3%	3.3%	4.36	4.77	—
2024	21	A RAW	Dunedin Blue Jays	33	0	43	196	57	22	5	0%	1.3	29.1%	11.2%	17.9%	2.6%	4.36	3.49	—
2025	22	MIX MLE	2 levels	30	0	38	145	47	11	1	0%	1.3	25.3%	8.6%	16.7%	1.0%	1.43	2.60	—
2025	22	MIX MLE	2 levels	30	0	38	145	47	11	1	0%	1.3	25.3%	8.6%	16.7%	1.0%	1.43	2.60	—
2025	22	MIX RAW	2 levels	30	0	38	145	47	11	1	0%	1.3	32.4%	7.6%	24.8%	0.7%	1.43	1.83	—
2026	23	MIX MLE	3 levels	40	0	49	214	44	20	6	0%	1.2	16.5%	10.0%	6.5%	3.2%	5.47	4.74	—
2026	23	MIX MLE	3 levels	40	0	49	214	44	20	6	0%	1.2	16.5%	10.0%	6.5%	3.2%	5.47	4.74	—
2026	23	MIX RAW	3 levels	40	0	49	214	44	20	6	0%	1.2	20.6%	9.3%	11.2%	2.8%	5.47	4.11	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	TOR	1	0	1	4	1	0	0	0%	1.0	19.2%	9.9%	9.3%	2.9%	4.72	4.72	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	TOR	43	0	45	189	38	18	6	0%	1.0	20.2%	9.5%	10.8%	2.9%	4.62	4.57	-0.0
2029	26	MLB MLE	TOR	39	0	40	171	35	16	5	0%	1.0	20.8%	9.4%	11.3%	2.9%	4.56	4.52	+0.0
2030	27	MLB MLE	TOR	36	0	38	161	34	15	5	0%	1.1	20.9%	9.5%	11.4%	3.0%	4.55	4.55	0.0
2028	25	MLB CTX	TOR	19	0	20	84	17	8	2	0%	1.1	20.2%	9.5%	10.8%	2.9%	4.62	4.57	-0.0
2029	26	MLB CTX	TOR	26	0	27	114	24	11	3	0%	1.0	20.8%	9.4%	11.3%	2.9%	4.56	4.52	+0.0
2030	27	MLB CTX	TOR	29	0	30	127	26	12	4	0%	1.0	20.9%	9.5%	11.4%	3.0%	4.55	4.55	0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		73	0	76	322	67	30	9	0%	1.0	20.7%	9.4%	11.2%	2.9%	4.57	4.17	+0.3
/ 200 IP	—	RAW		190	0	200	844	176	79	24	0%	1.1	20.7%	9.4%	11.2%	2.9%	4.57	4.17	+0.9
Career	—	MLE		146	17	251	1080	196	113	28	12%	1.7	18.2%	10.4%	7.7%	2.6%	4.38	4.31	+0.0
/ 200 IP	—	MLE		116	14	200	862	157	90	22	12%	1.7	18.2%	10.4%	7.7%	2.6%	4.38	4.31	+0.0

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 AANew Hampshire Fisher Cats · 42 IPFIP 4.00 → 4.74 (+0.73)K% 20.3% → 16.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.32%	—	×0.810	16.46%
BB% (unintentional) /BF	9.09%	—	×1.100	10.00%
HR / BF /BF	2.67%	÷1.000	×1.200	3.21%

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 4.00 → 4.74, 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 AAABuffalo Bisons · 6 IPFIP 6.04 → 6.26 (+0.23)K% 13.0% → 11.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	13.04%	—	×0.860	11.22%
BB% (unintentional) /BF	13.04%	—	×0.900	11.74%
HR / BF /BF	4.35%	÷1.000	×1.100	4.78%

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 6.04 → 6.26, 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).

2025 A+Vancouver Canadians · 24 IPFIP 1.26 → 2.39 (+1.13)K% 38.3% → 29.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	38.30%	—	×0.770	29.49%
BB% (unintentional) /BF	6.38%	—	×1.150	7.34%
HR / BF /BF	1.06%	÷0.855	×1.250	1.55%

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 71).

Result: FIP 1.26 → 2.39, 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).

2025 AANew Hampshire Fisher Cats · 14 IPFIP 2.52 → 2.99 (+0.47)K% 21.6% → 17.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.57%	—	×0.810	17.47%
BB% (unintentional) /BF	9.80%	—	×1.100	10.78%
HR / BF /BF	0.00%	÷0.885	×1.200	0.00%

Result: FIP 2.52 → 2.99, 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).

2024 ADunedin Blue Jays · 43 IPFIP 3.47 → 4.77 (+1.31)K% 29.1% → 21.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.08%	—	×0.740	21.52%
BB% (unintentional) /BF	11.22%	—	×1.180	13.24%
HR / BF /BF	2.55%	÷1.003	×1.300	3.31%

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 101).

Result: FIP 3.47 → 4.77, 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 ADunedin Blue Jays · 49 IPFIP 3.94 → 4.59 (+0.65)K% 18.9% → 14.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.92%	—	×0.740	14.00%
BB% (unintentional) /BF	9.46%	—	×1.180	11.16%
HR / BF /BF	2.25%	÷1.279	×1.300	2.29%

Result: FIP 3.94 → 4.59, 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 ROKFCL Blue Jays · 4 IPFIP 2.04 → 2.74 (+0.70)K% 20.0% → 13.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.00%	—	×0.680	13.60%
BB% (unintentional) /BF	5.00%	—	×1.250	6.25%
HR / BF /BF	0.00%	÷1.005	×1.400	0.00%

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 101).

Result: FIP 2.04 → 2.74, 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 ROKFCL Blue Jays · 29 IPFIP 3.39 → 5.32 (+1.92)K% 26.7% → 18.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.72%	—	×0.680	18.17%
BB% (unintentional) /BF	5.17%	—	×1.250	6.47%
HR / BF /BF	3.45%	÷0.904	×1.400	5.34%

Result: FIP 3.39 → 5.32, 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
Yondrei Rojas (OGILVIE)	—	—	—	—	—	2.9%	—	4.55	20.6%	11.2%	123	-0.17	—	—	—
James McDonald R 2009 · 3.96 FIP	24	SU	3.96	19.3%	10.4%	2.1%	.283	4.16	20.4%	11.3%	414	+0.20	2.99	506	93
Colby Morris R 2021 · 4.11 FIP	24	SU	4.11	20.4%	10.7%	2.5%	.291	5.76	16.2%	4.4%	54	+1.65	4.11	105	93
Austin Ross R 2019 · 4.41 FIP	24	SU	4.41	20.7%	9.6%	3.4%	.281	5.19	21.2%	5.7%	55	+0.78	4.41	121	91
Alex Palsha R 2016 · 3.84 FIP	24	SU	3.84	20.6%	10.4%	2.1%	.288	3.83	15.3%	4.4%	77	-0.01	3.40	134	90
Bryan Pope R 2023 · 3.96 FIP	24	SU	3.96	19.4%	9.5%	2.4%	.332	5.20	12.7%	-0.3%	22	+1.24	3.96	148	89
Kyle Whitten R 2023 · 4.35 FIP	24	SU	4.35	18.0%	9.5%	2.9%	.296	5.14	18.0%	8.1%	37	+0.79	4.32	152	89
Hueston Morrill R 2024 · 4.54 FIP	24	SU	4.54	19.8%	8.7%	3.7%	.302	3.24	19.0%	8.2%	54	-1.30	3.09	102	89
Dylan Simmons R 2024 · 3.85 FIP	23	SU	3.85	17.8%	9.4%	1.9%	.295	5.10	12.7%	0.6%	74	+1.25	3.85	125	88
Vinnie Chulk R 2004 · 4.26 FIP	25	SU	4.26	17.7%	10.5%	2.4%	.308	3.95	16.9%	9.6%	171	-0.31	2.97	271	88
Andrew Bellatti R 2015 · 4.34 FIP	23	SU	4.34	19.3%	8.8%	3.2%	.288	—	—	—	—	—	2.67	278	88
Andrew Cashner R 2010 · 4.51 FIP	23	SU	4.51	20.2%	10.1%	3.4%	.285	3.30	19.9%	13.0%	221	-1.21	2.94	1,185	88
Hector Noesí R 2011 · 3.73 FIP	24	SU	3.73	18.2%	7.3%	2.3%	.320	4.89	16.1%	8.4%	306	+1.16	3.73	613	88
Max Alba R 2023 · 4.47 FIP	24	SU	4.47	20.6%	12.6%	2.7%	.290	5.29	16.7%	9.8%	248	+0.82	4.47	303	88
Garrett Apker R 2024 · 4.01 FIP	24	SU	4.01	19.8%	11.2%	2.1%	.288	8.46	15.4%	-7.6%	11	+4.45	4.01	101	88
Luke Bell R 2024 · 3.62 FIP	23	SU	3.62	20.4%	9.9%	1.8%	.295	5.69	13.1%	1.3%	66	+2.07	3.62	110	87
Rob Griswold R 2022 · 4.47 FIP	24	SU	4.47	16.8%	8.3%	3.2%	.244	4.34	12.5%	6.2%	144	-0.13	3.57	203	87
Mick VanVossen R 2017 · 4.25 FIP	24	SU	4.25	18.6%	8.9%	2.9%	.302	—	—	—	—	—	4.25	141	87
Brett McKinney R 2015 · 4.79 FIP	24	SU	4.79	17.1%	8.9%	3.6%	.335	4.02	18.1%	8.5%	129	-0.77	3.43	183	87
Stephen Villines R 2019 · 3.96 FIP	24	SU	3.96	16.8%	8.5%	2.2%	.280	3.15	20.6%	14.7%	40	-0.81	2.14	156	87
Matt Pierpont R 2015 · 4.21 FIP	24	SU	4.21	17.8%	7.1%	3.1%	.295	3.25	21.7%	13.8%	190	-0.96	2.76	280	87

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	45	20.2%	9.6%	1.14	4.62
Kevin Quackenbush ('21)	1.0	52	21.0%	9.2%	1.04	4.41
Yency Almonte ('24)	1.1	45	22.5%	9.9%	1.13	4.44
Sam Long ('25)	1.1	42	19.5%	9.7%	1.28	4.65
Kevin Hickey ('81-'91, 0 WAR*)	1.2	47	17.7%*	10.2%*	1.10*	4.27*
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Bill Scherrer ('82-'88, 1 WAR*)	1.6	62	20.7%*	10.2%*	1.19*	4.44*