Brendan Girton

P Binghamton Rumble Ponies

Age 25 RHP 6'1" / 217 lbs AA

Overview

AAPROSPECT

Scout OFP40ETA2028MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	22	ANYM	3	1	3	12.00	3.77	31.2%	25.0%	—	K 31.2% · BB 25.0% · FIP 3.63
2025	23	MIX2 levels	25	21	87	3.10	2.61	27.7%	11.0%	—	K 21.5% · BB 12.6% · FIP 3.40
2026	24	AANYM	33	15	83	6.72	5.71	21.3%	15.0%	—	K 17.2% · BB 16.5% · FIP 6.50
2027PROJ	25	MLBNYM	12	12	70	5.63	5.63	19.6%	15.3%	-0.6
2028PROJ44% MLB	26	MLBNYM	6	6	34	5.45	5.43	20.7%	14.6%	-0.2
2029PROJ63% MLB	27	MLBNYM	8	8	49	5.37	5.38	20.9%	14.3%	-0.3

Next 3 projected WAR -1.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff54Control40Command50FB velo60

Career WAR0 WAR median (P10 -0 / P90 1, comp-based) · star 0% · didn't stick 95%

CompsColby Morris (age 25) · Mike Franco (age 25) · Deylen Miley (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 140132vR 124

ERA5.63

FIP5.63

K%19.6%

BB%15.3%

K-BB%4.3%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

OFP—40

STUF5055

CTRL4040

CMD5050

K†4550

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)
2024	22	A MLE	St. Lucie Mets	3	1	3	16	5	4	0	33%	1.0	31.2%	25.0%	6.2%	0.0%	12.00	3.63	—
2024	22	A MLE	St. Lucie Mets	3	1	3	16	5	4	0	33%	1.0	31.2%	25.0%	6.2%	0.0%	12.00	3.63	—
2024	22	A RAW	St. Lucie Mets	3	1	3	16	5	4	0	33%	1.0	31.2%	25.0%	6.2%	0.0%	12.00	3.77	—
2025	23	MIX MLE	2 levels	25	21	87	364	101	40	3	84%	3.5	21.5%	12.6%	8.9%	1.0%	3.10	3.40	—
2025	23	MIX MLE	2 levels	25	21	87	364	101	40	3	84%	3.5	21.5%	12.6%	8.9%	1.0%	3.10	3.40	—
2025	23	MIX RAW	2 levels	25	21	87	364	101	40	3	84%	3.5	27.7%	11.0%	16.8%	0.8%	3.10	2.61	—
2026	24	AA MLE	Binghamton Rumble Ponies	33	15	83	381	81	57	16	45%	2.5	17.2%	16.5%	0.8%	5.0%	6.72	6.50	—
2026	24	AA MLE	Binghamton Rumble Ponies	33	15	83	381	81	57	16	45%	2.5	17.2%	16.5%	0.8%	5.0%	6.72	6.50	—
2026	24	AA RAW	Binghamton Rumble Ponies	33	15	83	381	81	57	16	45%	2.5	21.3%	15.0%	6.3%	4.2%	6.72	5.71	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	NYM	12	12	70	296	58	45	10	100%	5.8	19.6%	15.3%	4.3%	3.4%	5.63	5.63	-0.6
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	NYM	13	13	78	331	68	48	11	100%	6.0	20.7%	14.6%	6.1%	3.4%	5.45	5.43	-0.5
2029	27	MLB MLE	NYM	13	13	77	326	68	47	11	100%	5.9	20.9%	14.3%	6.6%	3.4%	5.37	5.38	-0.4
2030	28	MLB MLE	NYM	12	12	75	316	66	45	11	100%	6.2	20.9%	14.2%	6.7%	3.5%	5.37	5.41	-0.4
2031	29	MLB MLE	NYM	12	12	71	301	62	43	11	100%	6.0	20.7%	14.3%	6.4%	3.6%	5.45	5.52	-0.5
2032	30	MLB MLE	NYM	11	11	67	283	58	41	11	100%	6.1	20.4%	14.6%	5.8%	3.8%	5.60	5.69	-0.6
2028	26	MLB CTX	NYM	6	6	34	144	30	21	5	100%	5.7	20.7%	14.6%	6.1%	3.4%	5.45	5.43	-0.2
2029	27	MLB CTX	NYM	8	8	49	207	43	30	7	100%	6.1	20.9%	14.3%	6.6%	3.4%	5.37	5.38	-0.3
2030	28	MLB CTX	NYM	9	9	56	236	49	34	8	100%	6.2	20.9%	14.2%	6.7%	3.5%	5.37	5.41	-0.3
2031	29	MLB CTX	NYM	10	10	58	245	51	35	9	100%	5.8	20.7%	14.3%	6.4%	3.6%	5.45	5.52	-0.4
2032	30	MLB CTX	NYM	10	10	58	245	50	36	9	100%	5.8	20.4%	14.6%	5.8%	3.8%	5.60	5.69	-0.5
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		43	43	256	1079	223	155	38	100%	5.9	20.7%	14.4%	6.3%	3.5%	5.45	5.12	-0.6
/ 200 IP	—	RAW		33	33	200	844	174	121	30	100%	6.0	20.7%	14.4%	6.3%	3.5%	5.45	5.12	-0.5
Career	—	MLE		61	37	173	761	149	112	23	61%	2.8	19.6%	14.8%	4.8%	3.0%	4.99	4.96	-2.4
/ 200 IP	—	MLE		71	43	200	880	172	130	26	61%	2.8	19.6%	14.8%	4.8%	3.0%	4.99	4.96	-1.3

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
Brendan Girton (OGILVIE)	—	—	5.63	19.6%	15.3%	3.4%	—	5.41	20.8%	6.4%	230	-0.22	—	—	—
Colby Morris R 2022 · 5.76 FIP	25	SW	5.76	16.2%	11.8%	4.6%	.268	—	—	—	—	—	4.11	105	80
Mike Franco R 2017 · 4.75 FIP	25	SP-	4.75	17.2%	12.9%	2.7%	.251	4.33	21.9%	12.7%	98	-0.42	3.11	322	80
Deylen Miley R 2023 · 5.34 FIP	25	SP-	5.34	22.3%	17.5%	3.5%	.336	—	—	—	—	—	2.07	185	79
Matt Ruppenthal R 2021 · 4.76 FIP	25	SP-	4.76	18.5%	13.8%	2.7%	.308	4.28	22.7%	7.9%	102	-0.48	3.74	283	78
Jake Bray R 2018 · 5.37 FIP	25	SP-	5.37	15.4%	11.2%	3.9%	.294	5.65	20.5%	7.7%	61	+0.28	2.51	198	77
Cameron Foster R 2024 · 4.83 FIP	25	SW	4.83	17.4%	11.5%	3.2%	.321	3.09	25.5%	17.5%	60	-1.74	2.50	213	77
Hunter Adkins R 2016 · 4.64 FIP	25	SW	4.64	16.2%	10.3%	2.9%	.290	4.82	11.8%	0.5%	58	+0.18	4.64	160	77
Nick Hull R 2024 · 4.62 FIP	24	SW	4.62	19.0%	12.2%	2.9%	.296	5.00	16.8%	6.2%	111	+0.38	4.26	292	77
Tanner Hall R 2024 · 4.67 FIP	22	SP-	4.67	18.8%	11.2%	3.2%	.295	5.33	10.1%	-4.6%	72	+0.66	4.67	137	76
Andrew Politi R 2021 · 5.21 FIP	25	SP-	5.21	21.0%	12.2%	4.3%	.320	4.04	22.9%	13.8%	138	-1.17	3.38	292	76
Patrick Weigel R 2019 · 5.00 FIP	25	SP-	5.00	18.7%	12.9%	3.4%	.197	4.88	20.0%	4.0%	105	-0.12	2.64	566	76
Carlos Torres R 2009 · 5.24 FIP	26	SP-	5.24	16.9%	11.5%	3.9%	.284	3.59	18.2%	7.3%	67	-1.65	2.89	604	75
Carlos Tavera R 2024 · 5.12 FIP	25	SW	5.12	18.3%	13.3%	3.4%	.299	5.43	21.9%	8.8%	29	+0.31	3.85	263	75
Brandon Morrow R 2009 · 4.89 FIP	25	SW	4.89	20.1%	13.7%	3.2%	.284	3.37	25.5%	16.4%	450	-1.52	2.67	922	75
Cam Sanders R 2022 · 4.83 FIP	25	SW	4.83	22.2%	14.8%	3.1%	.232	4.30	25.8%	9.7%	170	-0.53	3.22	519	75
Paxton Schultz R 2023 · 4.87 FIP	25	SP-	4.87	19.5%	11.9%	3.5%	.319	4.02	23.3%	14.9%	227	-0.85	3.83	543	74
Pierce Johnson R 2016 · 5.03 FIP	25	SP-	5.03	22.9%	15.7%	3.4%	.321	3.55	24.8%	13.4%	121	-1.48	2.75	598	74
Dennis O'Grady R 2015 · 4.95 FIP	26	SW	4.95	13.5%	11.0%	2.9%	.339	—	—	—	—	—	3.62	157	74
Sean Mooney R 2022 · 4.70 FIP	24	SP-	4.70	24.7%	13.5%	3.6%	.277	—	—	—	—	—	3.36	102	74
Reiss Knehr R 2022 · 5.29 FIP	25	SW	5.29	19.7%	13.1%	4.0%	.286	3.70	26.1%	19.0%	53	-1.59	3.36	398	73

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	2.2	73	20.5%	14.5%	1.35	5.47
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Paul Spoljaric ('00)	1.4	69	22.1%	12.9%	1.33	5.52
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
Ron Piche ('60-'66, -3 WAR*)	1.1	44	20.6%*	12.8%*	1.14*	5.06*