Tony Rossi

P Somerset Patriots

Age 28 RHP 6'3" / 230 lbs AA peak 0.2 · 2027

Overview

AAPROSPECTFG #590

Scout OFP40ETA2029FG ETA2028MLB%2%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	26	MIX2 levels	40	45	2.18	2.00	33.7%	13.7%	—	K 24.3% · BB 18.1% · FIP 3.35
2026	27	MIX2 levels	46	53	2.22	1.94	33.6%	6.6%	—	K 26.8% · BB 7.4% · FIP 2.72
2027PROJ	28	MLBNYY	66	69	4.12	4.12	26.7%	11.4%	0.4
2028PROJ31% MLB	29	MLBNYY	20	21	4.22	4.27	26.1%	11.4%	0.1
2029PROJ51% MLB	30	MLBNYY	30	32	4.36	4.45	25.6%	11.6%	0.0

Next 3 projected WAR 0.5Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff57Control45Command40FB velo49

Career WAR0 WAR median (P10 -0 / P90 1, comp-based) · star 0% · didn't stick 93%

CompsMatt Ramsey (age 28) · Ryan Brasier (age 28) · Dayan Díaz (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 111103vR 95

ERA4.12

FIP4.12

K%26.7%

BB%11.4%

K-BB%15.3%

Proj IP69

Value2027 · WAR

Runs saved vs league avg · 69 IP

Grades · Contract

Scouting Grades

OFP—40

STUF5060

CTRL—45

CMD3040

K†6060

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	26	MIX MLE	2 levels	40	0	45	190	64	26	0	0%	1.1	24.3%	18.1%	6.1%	0.0%	2.18	3.35	—
2025	26	MIX MLE	2 levels	40	0	45	190	64	26	0	0%	1.1	24.3%	18.1%	6.1%	0.0%	2.18	3.35	—
2025	26	MIX RAW	2 levels	40	0	45	190	64	26	0	0%	1.1	33.7%	13.7%	20.0%	0.0%	2.18	2.00	—
2026	27	MIX MLE	2 levels	46	0	53	211	71	14	3	0%	1.1	26.8%	7.4%	19.3%	1.7%	2.22	2.72	—
2026	27	MIX MLE	2 levels	46	0	53	211	71	14	3	0%	1.1	26.8%	7.4%	19.3%	1.7%	2.22	2.72	—
2026	27	MIX RAW	2 levels	46	0	53	211	71	14	3	0%	1.1	33.6%	6.6%	27.0%	1.4%	2.22	1.94	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	NYY	66	0	69	291	78	33	8	0%	1.0	26.7%	11.4%	15.3%	2.6%	4.12	4.12	+0.4
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	NYY	63	0	66	280	73	32	8	0%	1.1	26.1%	11.4%	14.7%	2.8%	4.22	4.27	+0.2
2029	30	MLB MLE	NYY	59	0	62	263	67	30	8	0%	1.1	25.6%	11.6%	14.0%	3.0%	4.36	4.45	+0.1
2028	29	MLB CTX	NYY	20	0	21	89	23	10	3	0%	1.1	26.1%	11.4%	14.7%	2.8%	4.22	4.27	+0.1
2029	30	MLB CTX	NYY	30	0	32	135	35	16	4	0%	1.1	25.6%	11.6%	14.0%	3.0%	4.36	4.45	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		50	0	53	222	57	26	7	0%	1.1	25.8%	11.5%	14.3%	3.0%	4.30	4.00	+0.3
/ 200 IP	—	RAW		190	0	200	844	216	99	27	0%	1.1	25.8%	11.5%	14.3%	3.0%	4.30	4.00	+1.3
Career	—	MLE		86	0	98	401	103	50	4	0%	1.1	25.6%	12.5%	13.1%	0.9%	2.20	3.01	+0.3
/ 200 IP	—	MLE		176	0	200	818	209	102	7	0%	1.1	25.6%	12.5%	13.1%	0.9%	2.20	3.01	+0.5

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
Tony Rossi (OGILVIE)	—	—	4.12	26.7%	11.4%	2.6%	—	4.36	25.9%	14.4%	128	+0.24	—	—	—
Matt Ramsey R 2018 · 3.78 FIP	28	SU	3.78	24.9%	8.8%	3.0%	.276	2.42	21.7%	12.6%	34	-1.36	2.42	125	86
Ryan Brasier R 2016 · 3.68 FIP	28	SU	3.68	25.0%	7.7%	3.1%	.289	3.09	24.2%	17.9%	130	-0.59	2.31	426	84
Dayan Díaz R 2017 · 3.45 FIP	28	SU	3.45	25.1%	8.7%	2.5%	.358	3.96	29.4%	19.3%	16	+0.51	3.08	205	83
Jon Edwards R 2015 · 3.40 FIP	27	SU	3.40	31.7%	13.1%	2.4%	.264	2.40	30.3%	22.6%	30	-1.00	2.40	132	83
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	83
Zach Franklin R 2024 · 3.24 FIP	25	SU	3.24	26.4%	10.9%	1.8%	.301	4.15	27.5%	18.3%	117	+0.91	3.24	158	82
Collin Baumgartner R 2024 · 2.99 FIP	25	SU	2.99	26.1%	11.5%	1.2%	.280	4.13	22.6%	8.4%	77	+1.14	2.99	134	82
Ryan Tepera R 2016 · 3.11 FIP	28	SU	3.11	22.6%	8.9%	1.4%	.266	3.81	24.3%	15.9%	164	+0.70	2.35	445	82
Chad Fox R 2001 · 3.17 FIP	30	SU	3.17	27.9%	10.1%	2.1%	.221	3.70	23.2%	9.6%	43	+0.53	2.82	194	81
Kiko Calero R 2003 · 3.54 FIP	28	SU	3.54	31.5%	11.1%	3.1%	.273	3.11	26.1%	18.9%	159	-0.43	2.27	298	81
Fernando Rodriguez Jr. R 2012 · 3.90 FIP	28	SU	3.90	25.2%	8.7%	3.3%	.299	3.34	26.5%	16.9%	75	-0.56	3.34	335	81
Blake Treinen R 2016 · 3.32 FIP	28	SU	3.32	24.0%	9.5%	1.9%	.271	3.04	26.0%	17.7%	215	-0.28	1.53	601	81
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	80
Grant Sides R 2016 · 3.83 FIP	27	SU	3.83	22.4%	11.9%	2.0%	.247	3.31	21.7%	11.9%	47	-0.52	3.31	159	80
Cody Satterwhite R 2015 · 3.71 FIP	28	SU	3.71	20.2%	9.8%	1.9%	.333	4.04	17.7%	10.2%	75	+0.33	3.69	147	80
Taylor Cole R 2018 · 3.70 FIP	28	SU	3.70	25.4%	10.4%	2.6%	.291	3.49	22.0%	13.9%	72	-0.21	3.49	433	79
Jason Motte R 2010 · 3.24 FIP	28	SU	3.24	26.0%	7.2%	2.6%	.269	2.69	27.3%	21.8%	140	-0.55	2.22	387	79
Peyton Gray R 2021 · 4.27 FIP	26	SU	4.27	29.2%	14.1%	3.4%	.307	—	—	—	—	—	3.62	160	79
Tyler Yates R 2006 · 4.17 FIP	28	SU	4.17	21.2%	10.6%	2.8%	.254	3.70	20.7%	11.1%	151	-0.47	3.23	248	79
Jason Stoffel R 2016 · 3.49 FIP	27	SU	3.49	27.2%	8.0%	3.0%	.293	—	—	—	—	—	3.49	103	79

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	1.0	66	26.2%	11.5%	1.09	4.23
Fernando Rodriguez Jr. ('16)	1.2	58	24.6%	11.1%	0.93	4.35
Oliver Drake ('20)	1.0	68	26.2%	9.5%	1.06	4.27
José Cisnero ('24)	1.4	46	24.0%	11.3%	1.01	4.16
Bill Kelso ('64-'68, 1 WAR*)	1.0	67	23.1%*	11.6%*	1.09*	4.19*
Mac Scarce ('72-'78, 1 WAR*)	1.0	52	25.9%*	12.4%*	1.27*	4.17*
Mike Hartley ('89-'95, 2 WAR*)	1.6	80	24.3%*	9.9%*	1.09*	4.09*