Andres Galan

P Bowling Green Hot Rods

Age 24 RHP 6'4" / 215 lbs A+

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	22	MIX3 levels	19	16	99	2.90	3.23	19.0%	8.4%	—	K 14.0% · BB 9.2% · FIP 4.01
2026	23	A+TB	32	1	55	6.83	5.36	16.7%	8.8%	—	K 12.9% · BB 10.1% · FIP 6.30
2027PROJ	24	MLBTB	64	0	67	5.74	5.74	11.6%	11.2%	-0.9
2028PROJ43% MLB	25	MLBTB	37	0	39	5.51	5.45	14.0%	10.7%	-0.4
2029PROJ66% MLB	26	MLBTB	57	0	60	5.34	5.29	15.4%	10.5%	-0.5

Next 3 projected WAR -1.8Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff30Control45Command35

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 100%

CompsCooper Adams (age 24) · Kevin Johnson (age 24) · Matt Roney (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 142134vR 126

ERA5.74

FIP5.74

K%11.6%

BB%11.2%

K-BB%0.3%

Proj IP67

Value2027 · WAR

Runs saved vs league avg · 67 IP

Grades · Contract

Scouting Grades

STUF3030

CTRL4545

CMD3535

K†3040

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	22	MIX MLE	3 levels	19	16	99	405	77	34	5	84%	5.2	14.0%	9.2%	4.8%	1.7%	2.90	4.01	—
2025	22	MIX MLE	3 levels	19	16	99	405	77	34	5	84%	5.2	14.0%	9.2%	4.8%	1.7%	2.90	4.01	—
2025	22	MIX RAW	3 levels	19	16	99	405	77	34	5	84%	5.2	19.0%	8.4%	10.6%	1.2%	2.90	3.23	—
2026	23	A+ MLE	Bowling Green Hot Rods	32	1	55	251	42	22	11	3%	1.7	12.9%	10.1%	2.8%	5.5%	6.83	6.30	—
2026	23	A+ MLE	Bowling Green Hot Rods	32	1	55	251	42	22	11	3%	1.7	12.9%	10.1%	2.8%	5.5%	6.83	6.30	—
2026	23	A+ RAW	Bowling Green Hot Rods	32	1	55	251	42	22	11	3%	1.7	16.7%	8.8%	8.0%	4.4%	6.83	5.36	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	TB	64	0	67	283	33	32	9	0%	1.0	11.6%	11.2%	0.3%	3.3%	5.74	5.74	-0.9
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	TB	86	0	90	382	53	41	12	0%	1.1	14.0%	10.7%	3.2%	3.3%	5.51	5.45	-0.9
2029	26	MLB MLE	TB	86	0	90	382	59	40	12	0%	1.1	15.4%	10.5%	4.9%	3.2%	5.34	5.29	-0.7
2030	27	MLB MLE	TB	85	0	89	376	59	39	12	0%	1.0	15.7%	10.4%	5.3%	3.3%	5.28	5.27	-0.7
2031	28	MLB MLE	TB	82	0	86	365	57	38	12	0%	1.1	15.7%	10.5%	5.3%	3.4%	5.30	5.33	-0.8
2032	29	MLB MLE	TB	79	0	82	348	54	37	12	0%	1.0	15.5%	10.7%	4.8%	3.5%	5.40	5.46	-0.8
2033	30	MLB MLE	TB	74	0	78	327	56	33	12	0%	1.0	17.2%	10.2%	6.9%	3.7%	5.38	5.37	-0.7
2028	25	MLB CTX	TB	37	0	39	165	23	18	5	0%	1.1	14.0%	10.7%	3.2%	3.3%	5.51	5.45	-0.4
2029	26	MLB CTX	TB	57	0	60	253	39	26	8	0%	1.1	15.4%	10.5%	4.9%	3.2%	5.34	5.29	-0.5
2030	27	MLB CTX	TB	66	0	69	291	46	30	10	0%	1.0	15.7%	10.4%	5.3%	3.3%	5.28	5.27	-0.6
2031	28	MLB CTX	TB	70	0	73	308	49	32	10	0%	1.0	15.7%	10.5%	5.3%	3.4%	5.30	5.33	-0.6
2032	29	MLB CTX	TB	69	0	72	304	47	33	11	0%	1.0	15.5%	10.7%	4.8%	3.5%	5.40	5.46	-0.7
2033	30	MLB CTX	TB	67	0	70	296	51	30	11	0%	1.0	17.2%	10.2%	6.9%	3.7%	5.38	5.37	-0.6
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		364	0	382	1615	254	169	55	0%	1.1	15.7%	10.5%	5.2%	3.4%	5.36	4.98	-1.9
/ 200 IP	—	RAW		190	0	200	844	133	88	29	0%	1.1	15.7%	10.5%	5.2%	3.4%	5.36	4.98	-1.0
Career	—	MLE		51	17	155	656	89	63	21	33%	3.0	13.6%	9.5%	4.0%	3.1%	4.31	4.88	-4.8
/ 200 IP	—	MLE		66	22	200	848	115	81	27	33%	3.0	13.6%	9.5%	4.0%	3.1%	4.31	4.88	-1.9

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
Andres Galan (OGILVIE)	—	—	5.74	11.6%	11.2%	3.3%	—	5.34	15.0%	4.5%	270	-0.40	—	—	—
Cooper Adams R 2024 · 5.42 FIP	24	SW	5.42	13.0%	12.2%	3.4%	.275	4.32	21.7%	10.4%	141	-1.10	3.05	221	90
Kevin Johnson R 2015 · 4.69 FIP	24	SW	4.69	11.0%	8.5%	2.6%	.302	5.52	9.9%	-2.0%	26	+0.83	4.69	106	88
Matt Roney R 2003 · 5.54 FIP	23	SW	5.54	10.5%	9.8%	3.8%	.249	—	—	—	—	—	5.54	101	85
Cullen Kafka R 2023 · 4.95 FIP	24	SW	4.95	14.2%	12.1%	2.8%	.330	—	—	—	—	—	3.64	148	83
Victor Santos R 2001 · 4.97 FIP	24	SW	4.97	15.5%	13.4%	2.7%	.231	4.38	16.4%	7.4%	206	-0.59	4.09	602	83
Wirkin Estevez R 2016 · 5.39 FIP	24	SW	5.39	10.7%	13.4%	2.7%	.316	4.46	12.3%	3.5%	179	-0.93	4.37	238	83
Brady Dragmire R 2017 · 4.78 FIP	24	SU	4.78	8.9%	9.4%	2.3%	.304	4.38	11.9%	5.8%	173	-0.40	3.05	391	82
Dennis O'Grady R 2015 · 4.95 FIP	26	SW	4.95	13.5%	11.0%	2.9%	.339	—	—	—	—	—	3.62	157	82
Scott Burke R 2018 · 4.55 FIP	24	SW	4.55	14.2%	7.7%	3.0%	.316	5.27	14.9%	6.7%	61	+0.72	4.55	119	82
Daniel Concepcion R 2016 · 5.87 FIP	22	SW	5.87	13.0%	10.6%	4.6%	.271	—	—	—	—	—	3.84	110	81
Ryan Vogelsong R 2001 · 5.34 FIP	24	SU	5.34	14.6%	11.6%	3.7%	.287	4.78	14.9%	5.7%	155	-0.56	3.14	1,184	81
Chad Jenkins R 2012 · 5.06 FIP	24	SW	5.06	11.8%	7.4%	3.7%	.257	3.56	12.8%	7.6%	159	-1.50	3.26	220	81
Paulshawn Pasqualotto R 2024 · 4.84 FIP	23	SW	4.84	15.6%	9.5%	3.4%	.354	3.77	20.2%	10.8%	111	-1.07	3.73	186	80
James Pugliese R 2017 · 4.72 FIP	24	SW	4.72	12.5%	11.6%	2.2%	.226	—	—	—	—	—	2.52	218	80
Kyle Miller R 2017 · 4.68 FIP	23	SW	4.68	12.1%	12.0%	2.0%	.294	—	—	—	—	—	2.83	164	80
Johendí Jiminian R 2017 · 5.70 FIP	24	SU	5.70	11.5%	14.0%	3.3%	.300	4.77	13.9%	3.6%	164	-0.93	4.01	419	80
Mark Peterson R 2015 · 4.89 FIP	24	SU	4.89	11.5%	8.5%	3.1%	.277	4.71	15.9%	5.6%	112	-0.18	4.65	185	79
Conor Steinbaugh R 2024 · 4.74 FIP	25	SU	4.74	16.0%	9.9%	3.2%	.281	6.29	15.0%	2.1%	44	+1.55	4.74	111	79
Tom Reisinger R 2024 · 5.44 FIP	23	SW	5.44	12.1%	14.6%	2.8%	.381	6.49	10.3%	-5.6%	47	+1.05	5.44	110	79
Dylan Spacke R 2022 · 5.24 FIP	24	SU	5.24	16.1%	13.9%	3.2%	.297	4.79	13.6%	0.2%	52	-0.45	2.08	205	79

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 3,327 pitcher careers (1,251 from 1990-2025 + 2,076 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	2.9	83	15.1%	10.6%	1.31	5.41
Julio Santana ('06)	2.4	80	14.4%	10.8%	1.32	5.30
Victor Santos ('07)	3.0	86	15.6%	10.2%	1.29	5.21
Galen Cisco ('61-'69, -2 WAR*)	3.3	94	14.7%*	10.4%*	1.22*	5.30*
Les Webber ('42-'48, -1 WAR*)	2.2	86	17.0%*	10.4%*	1.30*	5.13*
Rocky Biddle ('04)	1.9	76	15.3%	9.9%	1.40	5.47
Vince Colbert ('70-'72, -1 WAR*)	1.2	83	15.7%*	11.0%*	1.17*	5.33*