Bryce Jenkins

P Brooklyn Cyclones

Age 26 RHP 5'11" / 175 lbs A+ peak 0.1 · 2027

Overview

A+PROSPECT

ETA2029MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	22	MIX2 levels	5	0	4	9.00	3.35	16.7%	12.5%	—	K 16.7% · BB 12.5% · FIP 3.28
2025	24	MIX2 levels	11	1	12	6.00	4.93	22.0%	27.1%	—	K 22.0% · BB 27.1% · FIP 4.67
2026	25	MIX2 levels	45	0	54	1.66	2.68	29.5%	9.7%	—	K 23.0% · BB 11.0% · FIP 3.53
2027PROJ	26	MLBNYM	36	0	38	4.44	4.44	22.9%	10.7%	0.0
2028PROJ37% MLB	27	MLBNYM	17	0	18	4.45	4.46	22.9%	10.6%	0.0
2029PROJ59% MLB	28	MLBNYM	27	0	28	4.50	4.53	22.9%	10.6%	0.0

Next 3 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 98%

CompsJason Stoffel (age 26) · Jesus Pirela (age 26) · Fernando Rodriguez Jr. (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 118109vR 101

ERA4.44

FIP4.44

K%22.9%

BB%10.7%

K-BB%12.2%

Proj IP38

Value2027 · WAR

Runs saved vs league avg · 38 IP

Grades · Contract

Scouting Grades

K†5555

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 industry-standard fWAR.

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)
2023	22	MIX MLE	2 levels	5	0	4	24	4	3	0	0%	0.8	16.7%	12.5%	4.2%	0.0%	9.00	3.28	—
2023	22	MIX RAW	2 levels	5	0	4	24	4	3	0	0%	0.8	16.7%	12.5%	4.2%	0.0%	9.00	3.35	—
2025	24	MIX MLE	2 levels	11	1	12	59	13	16	0	9%	1.1	22.0%	27.1%	-5.1%	0.0%	6.00	4.67	—
2025	24	MIX MLE	2 levels	11	1	12	59	13	16	0	9%	1.1	22.0%	27.1%	-5.1%	0.0%	6.00	4.67	—
2025	24	MIX RAW	2 levels	11	1	12	59	13	16	0	9%	1.1	22.0%	27.1%	-5.1%	0.0%	6.00	4.93	—
2026	25	MIX MLE	2 levels	45	0	54	207	61	20	3	0%	1.2	23.0%	11.0%	12.0%	1.8%	1.66	3.53	—
2026	25	MIX MLE	2 levels	45	0	54	207	61	20	3	0%	1.2	23.0%	11.0%	12.0%	1.8%	1.66	3.53	—
2026	25	MIX RAW	2 levels	45	0	54	207	61	20	3	0%	1.2	29.5%	9.7%	19.8%	1.4%	1.66	2.68	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	NYM	36	0	38	160	37	17	5	0%	1.1	22.9%	10.7%	12.2%	2.8%	4.44	4.44	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	NYM	46	0	48	204	47	22	6	0%	1.0	22.9%	10.6%	12.4%	2.9%	4.45	4.46	+0.1
2029	28	MLB MLE	NYM	45	0	47	198	45	21	6	0%	1.0	22.9%	10.6%	12.2%	3.0%	4.50	4.53	+0.0
2030	29	MLB MLE	NYM	43	0	45	189	43	20	6	0%	1.0	22.7%	10.8%	11.9%	3.1%	4.59	4.66	-0.1
2028	27	MLB CTX	NYM	17	0	18	76	17	8	2	0%	1.1	22.9%	10.6%	12.4%	2.9%	4.45	4.46	+0.0
2029	28	MLB CTX	NYM	27	0	28	118	27	13	4	0%	1.0	22.9%	10.6%	12.2%	3.0%	4.50	4.53	+0.0
2030	29	MLB CTX	NYM	30	0	31	131	30	14	4	0%	1.0	22.7%	10.8%	11.9%	3.1%	4.59	4.66	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		73	0	77	324	74	35	10	0%	1.1	22.8%	10.7%	12.1%	3.0%	4.53	4.19	+0.3
/ 200 IP	—	RAW		190	0	200	844	193	91	26	0%	1.0	22.8%	10.7%	12.1%	3.0%	4.53	4.19	+0.9
Career	—	MLE		61	1	70	290	65	42	4	2%	1.2	22.3%	14.4%	7.9%	1.3%	2.82	3.74	+0.0
/ 200 IP	—	MLE		173	3	200	825	183	119	11	2%	1.2	22.3%	14.4%	7.9%	1.3%	2.82	3.74	+0.0

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
Bryce Jenkins (OGILVIE)	—	—	4.44	22.9%	10.7%	2.8%	—	4.55	22.8%	12.2%	140	+0.11	—	—	—
Jason Stoffel R 2015 · 3.61 FIP	26	SU	3.61	23.4%	10.1%	2.2%	.267	3.49	27.2%	19.2%	59	-0.12	3.49	103	93
Jesus Pirela R 2015 · 3.84 FIP	26	SU	3.84	23.7%	11.6%	2.3%	.305	3.92	17.1%	13.9%	45	+0.08	3.24	161	93
Fernando Rodriguez Jr. R 2011 · 3.85 FIP	27	SU	3.85	24.7%	10.8%	2.7%	.315	3.90	25.2%	16.5%	70	+0.05	3.34	335	91
Josh Zeid R 2013 · 4.00 FIP	26	SU	4.00	20.3%	9.3%	2.6%	.287	4.75	16.2%	4.8%	183	+0.75	4.00	313	91
Ronald Peña R 2018 · 4.19 FIP	26	SU	4.19	23.4%	11.6%	2.9%	.273	4.52	18.7%	7.1%	88	+0.33	3.72	187	91
Brandon Cunniff R 2015 · 4.28 FIP	26	SU	4.28	24.5%	13.2%	2.9%	.256	4.32	20.3%	9.0%	115	+0.04	3.89	180	88
C.C. Lee R 2014 · 3.77 FIP	27	SU	3.77	20.5%	8.7%	2.4%	.310	2.80	25.7%	17.6%	96	-0.97	2.59	149	88
Matt Ramsey R 2017 · 3.25 FIP	27	SU	3.25	24.2%	9.6%	1.8%	.330	3.21	23.6%	14.6%	81	-0.04	2.42	125	88
Grant Balfour R 2004 · 3.79 FIP	26	SU	3.79	24.4%	11.6%	2.3%	.292	4.01	24.8%	8.3%	25	+0.22	2.04	533	88
Shawn Armstrong R 2017 · 4.21 FIP	26	SU	4.21	22.1%	9.2%	3.3%	.282	3.18	26.9%	17.2%	144	-1.03	1.79	653	88
Scott Dohmann R 2004 · 4.44 FIP	26	SU	4.44	24.7%	9.6%	4.0%	.270	4.80	20.6%	8.5%	112	+0.36	4.28	173	87
Jose Veras R 2008 · 3.67 FIP	27	SU	3.67	24.9%	9.1%	2.8%	.281	4.10	23.8%	11.7%	169	+0.43	3.37	422	87
Josh Roenicke R 2009 · 3.25 FIP	26	SU	3.25	23.9%	10.9%	1.5%	.341	4.17	15.4%	4.7%	124	+0.92	3.25	500	87
Michael Flynn R 2023 · 4.31 FIP	26	SU	4.31	26.5%	11.2%	3.7%	.299	4.36	21.4%	10.8%	92	+0.05	3.89	168	87
Kaleb Bowman R 2023 · 3.88 FIP	26	SU	3.88	22.0%	7.5%	3.1%	.333	4.65	17.5%	6.2%	170	+0.77	3.88	203	86
Jhan Mariñez R 2015 · 3.50 FIP	26	SU	3.50	23.1%	9.3%	2.1%	.244	3.70	18.9%	11.1%	168	+0.20	3.16	253	86
Colton Murray R 2016 · 3.97 FIP	26	SU	3.97	21.2%	9.4%	2.7%	.295	4.27	21.8%	13.1%	41	+0.30	3.34	187	86
Chaz Roe R 2013 · 4.02 FIP	26	SU	4.02	25.3%	10.5%	3.1%	.259	2.81	24.6%	16.2%	133	-1.21	1.72	279	86
Kyle Winkler R 2016 · 3.70 FIP	26	SU	3.70	23.1%	8.7%	2.6%	.234	3.53	18.4%	8.3%	43	-0.17	2.97	114	86
Matt Pushard R 2024 · 3.87 FIP	26	SU	3.87	24.1%	8.9%	3.0%	.242	3.29	22.2%	14.0%	115	-0.58	2.84	220	86

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 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	44	22.8%	10.7%	1.14	4.50
Yency Almonte ('24)	1.1	45	22.5%	9.9%	1.13	4.44
José Cisnero ('24)	1.4	46	24.0%	11.3%	1.01	4.16
Manny Acosta ('12)	1.2	41	20.5%	10.9%	1.09	3.99
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Bill Scherrer ('82-'88, 1 WAR*)	1.6	62	20.7%*	10.2%*	1.19*	4.44*