Max Martin

P Asheville Tourists

Age 23 RHP 6'5" / 190 lbs A+

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	21	A+KC	4	7	0.00	1.75	23.1%	3.8%	—	K 23.1% · BB 3.8% · FIP 1.64
2026	22	MIX3 levels	40	62	3.05	3.57	19.6%	10.2%	—	K 15.3% · BB 11.0% · FIP 4.29
2027PROJ	23	MLBHOU	59	62	4.99	4.99	16.1%	10.3%	-0.3
2028PROJ43% MLB	24	MLBHOU	26	27	4.79	4.71	18.1%	9.5%	-0.0
2029PROJ66% MLB	25	MLBHOU	40	42	4.63	4.54	19.3%	9.0%	0.0

Next 3 projected WAR -0.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff50Command55FB velo45

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 99%

CompsColby Blueberg (age 23) · Alex Burnett (age 23) · Anyelo Leclerc (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 128120vR 112

ERA4.99

FIP4.99

K%16.1%

BB%10.3%

K-BB%5.8%

Proj IP62

Value2027 · WAR

Runs saved vs league avg · 62 IP

Grades · Contract

Scouting Grades

STUF5050

CMD4555

K†4050

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	21	A+ MLE	Quad Cities River Bandits	4	0	7	26	6	1	0	0%	1.7	23.1%	3.8%	19.2%	0.0%	0.00	1.64	—
2025	21	A+ MLE	Quad Cities River Bandits	4	0	7	26	6	1	0	0%	1.7	23.1%	3.8%	19.2%	0.0%	0.00	1.64	—
2025	21	A+ RAW	Quad Cities River Bandits	4	0	7	26	6	1	0	0%	1.7	23.1%	3.8%	19.2%	0.0%	0.00	1.75	—
2026	22	MIX MLE	3 levels	40	0	62	265	52	27	4	0%	1.6	15.3%	11.0%	4.3%	2.0%	3.05	4.29	—
2026	22	MIX MLE	3 levels	40	0	62	265	52	27	4	0%	1.6	15.3%	11.0%	4.3%	2.0%	3.05	4.29	—
2026	22	MIX RAW	3 levels	40	0	62	265	52	27	4	0%	1.6	19.6%	10.2%	9.4%	1.5%	3.05	3.57	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	HOU	59	0	62	262	42	27	7	0%	1.1	16.1%	10.3%	5.8%	2.8%	4.99	4.99	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	HOU	60	0	63	266	48	25	8	0%	1.1	18.1%	9.5%	8.6%	2.8%	4.79	4.71	-0.1
2029	25	MLB MLE	HOU	61	0	64	270	52	24	8	0%	1.0	19.3%	9.0%	10.3%	2.8%	4.63	4.54	+0.0
2030	26	MLB MLE	HOU	61	0	64	270	54	24	8	0%	1.0	20.0%	9.0%	11.0%	2.8%	4.54	4.49	+0.0
2031	27	MLB MLE	HOU	60	0	63	266	53	24	8	0%	1.0	20.1%	9.1%	11.0%	2.9%	4.53	4.52	+0.0
2028	24	MLB CTX	HOU	26	0	27	114	21	11	3	0%	1.0	18.1%	9.5%	8.6%	2.8%	4.79	4.71	-0.0
2029	25	MLB CTX	HOU	40	0	42	177	34	16	5	0%	1.1	19.3%	9.0%	10.3%	2.8%	4.63	4.54	+0.0
2030	26	MLB CTX	HOU	49	0	51	215	43	19	6	0%	1.0	20.0%	9.0%	11.0%	2.8%	4.54	4.49	+0.0
2031	27	MLB CTX	HOU	51	0	54	228	46	21	7	0%	1.1	20.1%	9.1%	11.0%	2.9%	4.53	4.52	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		166	0	174	734	144	67	21	0%	1.0	19.6%	9.1%	10.5%	2.9%	4.60	4.17	+0.8
/ 200 IP	—	RAW		190	0	200	844	166	77	24	0%	1.1	19.6%	9.1%	10.5%	2.9%	4.60	4.17	+0.9
Career	—	MLE		44	0	69	291	47	30	5	0%	1.6	16.0%	10.3%	5.7%	1.8%	2.75	4.06	-0.0
/ 200 IP	—	MLE		128	0	200	848	136	88	15	0%	1.6	16.0%	10.3%	5.7%	1.8%	2.75	4.06	-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
Max Martin (OGILVIE)	—	—	4.99	16.1%	10.3%	2.8%	—	4.58	19.1%	10.0%	191	-0.41	—	—	—
Colby Blueberg R 2016 · 4.42 FIP	23	SU	4.42	17.7%	11.0%	2.6%	.310	3.80	21.6%	10.6%	110	-0.62	2.36	229	93
Alex Burnett R 2010 · 4.37 FIP	23	SU	4.37	17.5%	9.5%	2.8%	.311	3.80	12.9%	5.3%	122	-0.57	3.68	170	91
Anyelo Leclerc R 2015 · 5.00 FIP	23	SU	5.00	16.2%	9.8%	3.7%	.326	4.65	15.9%	6.1%	96	-0.35	4.65	140	91
Brady Choban R 2024 · 4.49 FIP	23	SU	4.49	16.1%	8.8%	3.0%	.262	4.02	13.3%	4.1%	80	-0.47	3.59	131	91
Troy Neiman R 2015 · 4.54 FIP	24	SU	4.54	13.1%	8.5%	2.7%	.287	4.47	19.7%	11.7%	135	-0.07	4.03	199	89
Miguel Guerrero R 2023 · 4.56 FIP	23	SU	4.56	18.1%	10.3%	3.1%	.288	—	—	—	—	—	4.56	171	89
Miles Mikolas R 2012 · 4.56 FIP	23	SU	4.56	16.0%	10.4%	2.7%	.275	4.29	14.9%	8.6%	57	-0.27	3.13	1,386	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	89
Trey Cochran-Gill R 2016 · 4.09 FIP	23	SU	4.09	15.3%	7.9%	2.4%	.294	4.61	14.5%	4.4%	112	+0.52	3.51	258	89
Brian Glowicki R 2018 · 3.91 FIP	23	SU	3.91	17.4%	8.8%	2.1%	.254	3.71	22.4%	14.4%	89	-0.20	2.31	189	89
Everhett Hazelwood R 2022 · 5.23 FIP	23	SU	5.23	13.8%	12.2%	3.2%	.306	6.51	18.7%	2.9%	63	+1.28	5.23	117	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
Kieran Lovegrove R 2017 · 4.92 FIP	23	SU	4.92	17.9%	12.6%	3.2%	.273	4.46	19.3%	4.5%	76	-0.46	3.79	215	88
Reece Karalus R 2017 · 4.91 FIP	23	SU	4.91	14.0%	9.1%	3.4%	.303	4.73	15.4%	3.5%	55	-0.18	4.73	149	88
Jacinto Arredondo R 2021 · 4.93 FIP	23	SU	4.93	14.4%	12.7%	2.6%	.310	4.89	15.7%	5.0%	50	-0.04	4.89	101	88
Alejandro Barraza R 2015 · 4.31 FIP	24	SU	4.31	13.2%	8.3%	2.3%	.291	4.64	13.1%	4.7%	93	+0.33	3.27	174	88
Rob Huber R 2015 · 3.90 FIP	23	SU	3.90	18.3%	11.7%	1.6%	.304	4.73	15.7%	1.0%	64	+0.83	3.90	117	88
Matt Eckelman R 2017 · 4.73 FIP	23	SU	4.73	15.0%	9.9%	3.0%	.304	4.23	17.4%	5.7%	97	-0.50	4.07	386	88
Brett Standlee R 2022 · 4.13 FIP	23	SU	4.13	19.7%	11.1%	2.4%	.322	4.45	17.0%	8.9%	75	+0.32	4.13	128	88
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	88

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	1.6	63	18.7%	9.4%	1.10	4.69
J. C. Gutierrez ('07-'14, -0 WAR*)	1.4	57	19.8%*	8.5%*	1.19*	4.72*
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Juan Gutierrez ('14)	1.4	57	19.4%	8.4%	1.04	4.49
Josias Manzanillo ('04)	1.7	57	20.0%	10.2%	1.21	4.71
Bill Pleis ('61-'66, -0 WAR*)	1.4	56	19.7%*	9.8%*	1.15*	4.53*
Bill Scherrer ('82-'88, 1 WAR*)	1.6	62	20.7%*	10.2%*	1.19*	4.44*