Cole Reynolds

P South Bend Cubs

Age 25 LHP 6'5" / 225 lbs A+

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	23	MIX3 levels	28	2	60	4.83	3.82	22.4%	13.9%	—	K 16.4% · BB 16.2% · FIP 4.80
2026	24	A+CHC	23	12	77	6.08	3.76	22.3%	13.5%	—	K 17.2% · BB 15.5% · FIP 4.62
2027PROJ	25	MLBCHC	67	0	70	5.81	5.81	16.1%	17.5%	-0.9
2028PROJ43% MLB	26	MLBCHC	29	0	30	5.64	5.62	17.2%	16.6%	-0.3
2029PROJ63% MLB	27	MLBCHC	41	0	43	5.56	5.56	17.7%	16.1%	-0.5

Next 3 projected WAR -1.7Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff40Control30Command35

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 97%

CompsColby Langford (age 22) · Anderson Polanco (age 25) · Alec Gamboa (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 127135vR 143

ERA5.81

FIP5.81

K%16.1%

BB%17.5%

K-BB%-1.4%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

STUF4040

CTRL3030

CMD3535

K†4040

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)
2025	23	MIX MLE	3 levels	28	2	60	281	63	39	4	7%	2.1	16.4%	16.2%	0.2%	1.9%	4.83	4.80	—
2025	23	MIX MLE	3 levels	28	2	60	281	63	39	4	7%	2.1	16.4%	16.2%	0.2%	1.9%	4.83	4.80	—
2025	23	MIX RAW	3 levels	28	2	60	281	63	39	4	7%	2.1	22.4%	13.9%	8.5%	1.4%	4.83	3.82	—
2026	24	A+ MLE	South Bend Cubs	23	12	77	341	76	46	5	52%	3.3	17.2%	15.5%	1.6%	1.8%	6.08	4.62	—
2026	24	A+ MLE	South Bend Cubs	23	12	77	341	76	46	5	52%	3.3	17.2%	15.5%	1.6%	1.8%	6.08	4.62	—
2026	24	A+ RAW	South Bend Cubs	23	12	77	341	76	46	5	52%	3.3	22.3%	13.5%	8.8%	1.5%	6.08	3.76	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	CHC	67	0	70	296	48	52	8	0%	1.0	16.1%	17.5%	-1.4%	2.7%	5.81	5.81	-0.9
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	CHC	67	0	70	296	51	49	8	0%	1.0	17.2%	16.6%	0.6%	2.7%	5.64	5.62	-0.8
2029	27	MLB MLE	CHC	66	0	69	291	52	47	8	0%	1.0	17.7%	16.1%	1.6%	2.8%	5.56	5.56	-0.7
2030	28	MLB MLE	CHC	64	0	67	282	50	45	8	0%	1.0	17.8%	15.9%	1.9%	2.9%	5.55	5.59	-0.7
2031	29	MLB MLE	CHC	61	0	64	270	48	43	8	0%	1.0	17.7%	16.0%	1.8%	3.1%	5.62	5.68	-0.8
2028	26	MLB CTX	CHC	29	0	30	127	22	21	3	0%	1.0	17.2%	16.6%	0.6%	2.7%	5.64	5.62	-0.3
2029	27	MLB CTX	CHC	41	0	43	182	32	29	5	0%	1.0	17.7%	16.1%	1.6%	2.8%	5.56	5.56	-0.5
2030	28	MLB CTX	CHC	48	0	50	211	38	34	6	0%	1.0	17.8%	15.9%	1.9%	2.9%	5.55	5.59	-0.6
2031	29	MLB CTX	CHC	50	0	52	220	39	35	7	0%	1.0	17.7%	16.0%	1.8%	3.1%	5.62	5.68	-0.6
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		167	0	176	742	131	120	21	0%	1.1	17.7%	16.1%	1.6%	2.9%	5.59	5.24	-1.4
/ 200 IP	—	RAW		190	0	200	844	149	136	24	0%	1.1	17.7%	16.1%	1.6%	2.9%	5.59	5.24	-1.6
Career	—	MLE		51	14	137	622	105	98	12	27%	2.7	16.8%	15.8%	1.0%	1.9%	5.53	4.70	-3.3
/ 200 IP	—	MLE		75	20	200	910	153	144	17	27%	2.7	16.8%	15.8%	1.0%	1.9%	5.53	4.70	-2.4

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
Cole Reynolds (OGILVIE)	—	—	5.81	16.1%	17.5%	2.7%	—	5.59	17.6%	1.4%	206	-0.22	—	—	—
Colby Langford L 2024 · 5.34 FIP	22	SW	5.34	21.6%	22.5%	2.2%	.273	6.01	22.2%	-1.1%	110	+0.67	4.92	168	80
Anderson Polanco L 2018 · 5.95 FIP	25	SW	5.95	19.9%	20.9%	3.4%	.298	5.09	18.9%	2.6%	47	-0.86	4.10	316	78
Alec Gamboa L 2022 · 5.36 FIP	25	SW	5.36	14.8%	13.1%	3.4%	.287	3.92	16.3%	4.4%	169	-1.44	1.46	444	75
Matthew Spann L 2016 · 5.15 FIP	25	SW	5.15	15.1%	16.9%	2.2%	.375	—	—	—	—	—	3.93	173	72
Bryce Hubbart L 2024 · 5.45 FIP	23	SP-	5.45	15.5%	13.8%	3.5%	.313	5.14	19.9%	6.3%	82	-0.31	4.79	194	72
Nick Dombkowski L 2024 · 4.92 FIP	25	SW	4.92	16.5%	10.9%	3.3%	.273	5.17	18.2%	10.6%	183	+0.25	3.71	425	72
Cody Dickson L 2017 · 5.48 FIP	25	SW	5.48	15.9%	14.6%	3.4%	.317	—	—	—	—	—	3.88	354	71
Garrett Schoenle L 2023 · 5.38 FIP	25	SP-	5.38	20.5%	15.0%	3.9%	.307	3.58	20.9%	12.1%	174	-1.80	2.32	362	71
Nathan Kirby L 2018 · 5.12 FIP	24	SW	5.12	17.7%	16.2%	2.7%	.318	3.84	25.3%	8.7%	38	-1.28	3.84	145	71
Dan Meyer L 2007 · 4.76 FIP	26	SP-	4.76	13.9%	11.4%	2.5%	.316	4.35	20.6%	11.8%	86	-0.41	3.73	112	70
Irwin Delgado L 2015 · 4.77 FIP	26	SW	4.77	14.4%	9.6%	3.0%	.349	3.53	16.2%	7.6%	237	-1.24	3.52	383	69
Brooks Gosswein L 2023 · 5.61 FIP	24	SP-	5.61	15.2%	17.9%	2.8%	.301	—	—	—	—	—	5.13	165	69
Houston Harding L 2023 · 5.74 FIP	25	SU	5.74	17.9%	15.0%	4.1%	.307	4.82	14.5%	3.2%	142	-0.92	3.41	239	69
Kevin Smith L 2022 · 6.20 FIP	25	SW	6.20	17.5%	16.2%	4.6%	.269	—	—	—	—	—	3.26	248	69
Jorge De La Rosa L 2006 · 5.48 FIP	25	SW	5.48	18.3%	14.4%	3.8%	.288	4.04	20.7%	11.2%	445	-1.44	3.24	1,537	68
Joey DeNato L 2017 · 4.76 FIP	25	SU	4.76	12.3%	15.1%	1.4%	.271	—	—	—	—	—	2.90	167	67
Graeme Stinson L 2023 · 4.85 FIP	25	SU	4.85	19.5%	15.6%	2.6%	.302	—	—	—	—	—	3.56	146	67
Matt Mikulski L 2024 · 6.18 FIP	25	SU	6.18	15.3%	17.1%	4.0%	.275	4.98	19.5%	-8.3%	18	-1.20	4.92	223	66
Jared Poche L 2019 · 5.93 FIP	24	SU	5.93	13.4%	15.2%	3.7%	.275	—	—	—	—	—	4.09	156	66
Dalton Stambaugh L 2022 · 5.32 FIP	25	SW	5.32	15.4%	11.9%	3.7%	.317	—	—	—	—	—	3.18	148	65

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	1.7	68	17.3%	16.4%	1.10	5.64
Doug Bochtler ('00)	1.3	65	18.6%	14.4%	1.25	4.57
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Brian Bruney ('12)	1.3	43	21.2%	15.8%	0.94	4.68
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Ron Piche ('60-'66, -3 WAR*)	1.1	44	20.6%*	12.8%*	1.14*	5.06*
Dave Jolly ('53-'57, -0 WAR*)	1.5	58	20.2%*	14.3%*	0.91*	4.33*