Kendry Rojas

P St. Paul Saints

Age 24 LHP 6'2" / 190 lbs AAA peak 0.2 · 2027

Overview

AAARP40-MANROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	21	MIX3 levels	13	12	63	2.59	2.40	27.0%	5.5%	—	K 20.8% · BB 6.1% · FIP 3.26
2025	22	MIX4 levels	19	18	69	4.70	3.20	28.8%	10.3%	—	K 21.9% · BB 10.1% · FIP 4.12
2026	23	MIX3 levels	27	13	69	3.00	3.46	25.5%	12.4%	0.9	K 23.6% · BB 11.6% · FIP 3.60
2027PROJ	24	MLBMIN	12	12	65	4.13	4.32	24.1%	11.2%	0.8
2028PROJ83% MLB	25	MLBMIN	10	10	61	4.17	4.21	24.2%	10.3%	0.9
2029PROJ88% MLB	26	MLBMIN	10	10	60	4.18	4.19	24.3%	10.1%	0.9

Last 3 seasons WAR 0.9 · Next 3 projected WAR 2.5Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

xwOBA vs75

K%72

FB Velo71

Career WAR0.1 WAR median (P10 -0.5 / P90 5.9, comp-based) · star 0% · didn't stick 78%

CompsHunter Barco (age 23) · Jimmy Robbins (age 24) · Brady Basso (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 99107vR 115

ERA4.13

FIP4.32

K%24.1%

BB%11.2%

K-BB%12.8%

Proj IP90

Value2027 · WAR

Runs saved vs league avg · 90 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p7196.0

Whiff%

p6828.1%

p7226.2%

xwOBA vs

p750.288

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	FCL Blue Jays	8	4	24	87	39	5	1	50%	3.0	30.5%	7.2%	23.3%	1.6%	2.28	2.32	—
2021	18	ROK RAW	FCL Blue Jays	8	4	24	87	39	5	1	50%	3.0	44.8%	5.7%	39.1%	1.1%	2.28	0.99	—
2022	19	MIX MLE	2 levels	13	11	41	177	46	19	1	85%	3.1	18.3%	12.9%	5.4%	0.8%	3.98	3.64	—
2022	19	MIX RAW	2 levels	13	11	41	177	46	19	1	85%	3.1	26.0%	10.7%	15.3%	0.6%	3.98	2.56	—
2023	20	A MLE	Dunedin Blue Jays	20	15	84	351	82	33	8	75%	4.2	17.3%	11.1%	6.2%	2.3%	3.75	4.32	—
2023	20	A RAW	Dunedin Blue Jays	20	15	84	351	82	33	8	75%	4.2	23.4%	9.4%	14.0%	2.3%	3.75	3.56	—
2024	21	MIX MLE	3 levels	13	12	63	256	69	14	4	92%	4.8	20.8%	6.1%	14.7%	2.1%	2.59	3.26	—
2024	21	MIX MLE	3 levels	13	12	63	256	69	14	4	92%	4.8	20.8%	6.1%	14.7%	2.1%	2.59	3.26	—
2024	21	MIX RAW	3 levels	13	12	63	256	69	14	4	92%	4.8	27.0%	5.5%	21.5%	1.6%	2.59	2.40	—
2025	22	MIX MLE	4 levels	19	18	69	312	90	32	7	95%	3.6	21.9%	10.1%	11.8%	2.9%	4.70	4.12	—
2025	22	MIX MLE	4 levels	19	18	69	312	90	32	7	95%	3.6	21.9%	10.1%	11.8%	2.9%	4.70	4.12	—
2025	22	MIX RAW	4 levels	19	18	69	312	90	32	7	95%	3.6	28.8%	10.3%	18.6%	2.2%	4.70	3.20	—
2026	23	MIX MLE	3 levels	27	13	69	290	74	36	5	48%	2.6	23.6%	11.6%	12.0%	1.9%	3.00	3.60	+0.8
2026	23	MIX MLE	3 levels	27	13	69	290	74	36	5	48%	2.6	23.6%	11.6%	12.0%	1.9%	3.00	3.60	+0.8
2026	23	MIX RAW	3 levels	27	13	69	290	74	36	5	48%	2.6	25.5%	12.4%	13.1%	1.7%	3.00	3.46	+0.9
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			12	4	30	130	34	22	2	33%	2.5	26.2%	16.9%	9.2%	1.5%	3.34	3.91	+0.2
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	MIN	12	12	65	274	66	31	7	100%	5.4	24.1%	11.2%	12.8%	2.7%	4.13	4.32	+0.8
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	MIN	13	13	74	311	75	32	8	100%	5.7	24.2%	10.3%	13.9%	2.7%	4.17	4.21	+1.0
2029	26	MLB MLE	MIN	11	11	68	285	69	29	8	100%	6.1	24.3%	10.1%	14.2%	2.7%	4.18	4.19	+1.0
2030	27	MLB MLE	MIN	11	11	64	271	65	27	7	100%	5.8	24.1%	10.0%	14.1%	2.8%	4.21	4.23	+0.9
2031	28	MLB MLE	MIN	10	10	60	255	61	26	7	100%	6.0	24.0%	10.1%	13.8%	2.9%	4.27	4.31	+0.8
2032	29	MLB MLE	MIN	9	9	55	233	55	24	7	100%	6.1	23.4%	10.3%	13.0%	3.0%	4.39	4.47	+0.6
2033	30	MLB MLE	MIN	9	9	53	225	56	22	7	100%	5.9	24.7%	9.8%	14.8%	3.2%	4.40	4.41	+0.6
2028	25	MLB CTX	MIN	10	10	61	258	62	27	7	100%	6.1	24.2%	10.3%	13.9%	2.7%	4.17	4.21	+0.9
2029	26	MLB CTX	MIN	10	10	60	253	61	26	7	100%	6.0	24.3%	10.1%	14.2%	2.7%	4.18	4.19	+0.9
2030	27	MLB CTX	MIN	10	10	58	245	59	25	7	100%	5.8	24.1%	10.0%	14.1%	2.8%	4.21	4.23	+0.8
2031	28	MLB CTX	MIN	9	9	56	236	57	24	7	100%	6.2	24.0%	10.1%	13.8%	2.9%	4.27	4.31	+0.7
2032	29	MLB CTX	MIN	9	9	52	220	51	23	7	100%	5.8	23.4%	10.3%	13.0%	3.0%	4.39	4.47	+0.6
2033	30	MLB CTX	MIN	8	8	50	211	52	21	7	100%	6.2	24.7%	9.8%	14.8%	3.2%	4.40	4.41	+0.6
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		68	60	366	1550	376	166	43	88%	5.4	24.3%	10.7%	13.6%	2.7%	4.19	3.91	+6.5
/ 200 IP	—	RAW		37	33	200	847	205	91	24	88%	5.4	24.3%	10.7%	13.6%	2.7%	4.19	3.91	+3.6
Career	—	MLE		100	73	349	1473	309	149	31	73%	3.5	21.0%	10.1%	10.9%	2.1%	3.51	3.75	+5.4
/ 200 IP	—	MLE		57	42	200	844	177	85	18	73%	3.5	21.0%	10.1%	10.9%	2.1%	3.51	3.75	+2.7

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 AAASt. Paul Saints · 38 IPFIP 3.07 → 3.37 (+0.30)K% 24.8% → 21.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.84%	—	×0.860	21.36%
BB% (unintentional) /BF	7.84%	—	×0.900	7.06%
HR / BF /BF	1.96%	÷1.000	×1.100	2.16%

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 3.07 → 3.37, 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 AAASt. Paul Saints · 32 IPFIP 4.89 → 4.74 (−0.15)K% 20.0% → 17.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.00%	—	×0.860	17.20%
BB% (unintentional) /BF	14.71%	—	×0.900	13.24%
HR / BF /BF	2.94%	÷1.253	×1.100	2.58%

Result: FIP 4.89 → 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).

2025 AANew Hampshire Fisher Cats · 19 IPFIP 1.52 → 2.72 (+1.20)K% 40.0% → 32.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	40.00%	—	×0.810	32.40%
BB% (unintentional) /BF	2.67%	—	×1.100	2.93%
HR / BF /BF	2.67%	÷0.885	×1.200	3.61%

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 1.52 → 2.72, 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 ADunedin Blue Jays · 13 IPFIP 0.62 → 1.63 (+1.01)K% 39.1% → 29.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	39.13%	—	×0.740	28.96%
BB% (unintentional) /BF	6.52%	—	×1.180	7.70%
HR / BF /BF	0.00%	÷1.284	×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 157).

Result: FIP 0.62 → 1.63, 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 ROKFCL Blue Jays · 5 IPFIP 1.09 → 2.42 (+1.33)K% 38.1% → 25.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	38.10%	—	×0.680	25.90%
BB% (unintentional) /BF	9.52%	—	×1.250	11.90%
HR / BF /BF	0.00%	÷1.077	×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 115).

Result: FIP 1.09 → 2.42, 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 A+Vancouver Canadians · 56 IPFIP 2.46 → 3.26 (+0.80)K% 27.0% → 20.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.99%	—	×0.770	20.78%
BB% (unintentional) /BF	5.31%	—	×1.150	6.11%
HR / BF /BF	1.77%	÷1.062	×1.250	2.08%

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 112).

Result: FIP 2.46 → 3.26, 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).

2023 ADunedin Blue Jays · 84 IPFIP 3.57 → 4.32 (+0.75)K% 23.4% → 17.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.36%	—	×0.740	17.29%
BB% (unintentional) /BF	9.40%	—	×1.180	11.09%
HR / BF /BF	2.28%	÷1.279	×1.300	2.32%

Result: FIP 3.57 → 4.32, 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).

2022 ADunedin Blue Jays · 40 IPFIP 2.71 → 3.64 (+0.92)K% 24.7% → 18.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.71%	—	×0.740	18.29%
BB% (unintentional) /BF	10.92%	—	×1.180	12.89%
HR / BF /BF	0.57%	÷0.916	×1.300	0.82%

Result: FIP 2.71 → 3.64, 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
Kendry Rojas (OGILVIE)	—	—	—	—	—	2.7%	—	4.21	24.2%	14.1%	205	-0.11	—	—	—
Hunter Barco L 2024 · 3.61 FIP	23	SP	3.61	23.4%	10.0%	2.2%	.275	3.72	21.1%	10.0%	195	+0.11	3.29	257	76
Jimmy Robbins L 2022 · 3.85 FIP	24	SP-	3.85	23.3%	11.3%	2.3%	.286	4.82	18.0%	2.8%	99	+0.97	3.85	176	69
Brady Basso L 2021 · 3.93 FIP	23	SP-	3.93	21.8%	8.7%	2.8%	.333	4.17	22.0%	15.8%	179	+0.24	2.24	312	67
Angel Perdomo L 2018 · 3.57 FIP	24	SW	3.57	22.6%	11.8%	1.6%	.315	4.01	32.7%	17.7%	100	+0.44	2.82	540	66
Jason Blanchard L 2022 · 4.02 FIP	25	SP-	4.02	24.8%	14.2%	2.2%	.382	3.81	21.6%	10.9%	156	-0.21	2.44	171	66
Tommy Shirley L 2015 · 3.35 FIP	26	SP-	3.35	19.6%	7.0%	1.9%	.252	4.93	13.0%	4.2%	106	+1.58	3.35	147	65
Will Johnston L 2024 · 3.94 FIP	23	SP-	3.94	24.8%	11.6%	2.7%	.290	4.56	22.9%	7.5%	104	+0.62	3.94	195	65
Cory Luebke L 2010 · 4.21 FIP	25	SP-	4.21	23.7%	7.9%	3.9%	.286	2.84	25.9%	18.7%	171	-1.37	2.80	216	64
Hayden Mullins L 2024 · 4.39 FIP	23	SP-	4.39	23.4%	12.4%	3.1%	.288	3.69	25.5%	11.8%	194	-0.70	3.54	283	64
Tyler Lyons L 2013 · 3.70 FIP	25	SP-	3.70	19.3%	7.2%	2.4%	.277	3.93	22.8%	17.6%	239	+0.23	2.65	465	64
Logan Darnell L 2014 · 4.78 FIP	25	SP-	4.78	19.6%	7.1%	4.4%	.338	4.10	13.4%	6.1%	262	-0.68	3.16	454	64
Mitch Farris L 2024 · 3.45 FIP	23	SP-	3.45	23.3%	10.7%	1.8%	.304	4.33	22.7%	11.2%	222	+0.88	3.45	327	63
T.J. Sikkema L 2022 · 4.55 FIP	24	SP	4.55	21.9%	9.0%	3.9%	.298	4.54	16.9%	7.5%	231	-0.01	3.57	300	63
Garrett Schoenle L 2022 · 4.60 FIP	24	SW	4.60	21.4%	10.8%	3.5%	.263	4.25	20.9%	9.7%	219	-0.35	2.32	362	63
Brad Mills L 2010 · 4.22 FIP	25	SW	4.22	18.4%	12.2%	2.0%	.273	5.37	19.8%	7.7%	18	+1.15	4.22	243	63
Hayden Wynja L 2023 · 4.74 FIP	24	SP-	4.74	20.5%	10.5%	3.7%	.315	4.79	18.0%	7.5%	56	+0.05	4.74	154	62
Mark Manfredi Sr. L 2024 · 4.60 FIP	24	SW	4.60	22.0%	14.9%	2.7%	.289	3.22	25.4%	11.6%	128	-1.38	2.91	204	61
Ian Seymour L 2023 · 3.15 FIP	24	SP	3.15	21.1%	7.7%	1.6%	.224	3.34	25.8%	19.5%	421	+0.19	2.87	495	61
Caden Grice L 2024 · 4.33 FIP	22	SP	4.33	23.1%	15.7%	2.2%	.282	5.05	17.9%	2.3%	83	+0.72	4.33	133	61
A.J. Block L 2021 · 3.72 FIP	23	SP-	3.72	22.8%	10.0%	2.3%	.262	5.74	20.1%	8.4%	51	+2.02	3.65	203	60

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	2.5	62	24.2%	10.7%	1.06	4.18
Brandon Workman ('21)	1.6	55	24.3%	11.1%	1.04	4.02
Jeff Parrett ('86-'96, 6 WAR*)	3.6	72	24.8%*	11.0%*	1.02*	4.07*
Al Reyes ('08)	2.1	54	23.2%	10.7%	1.11	3.84
Hansel Robles ('22)	2.1	61	25.3%	10.2%	1.20	4.11
Tim Stoddard ('75-'89, 4 WAR*)	3.6	66	26.2%*	11.2%*	1.14*	4.24*
Xavier Hernandez ('89-'98, 3 WAR*)	3.4	67	23.9%*	9.1%*	1.12*	4.20*