Bubby Rossman — OGILVIE

Bubby Rossman P Syracuse Mets

Age 34 RHP 6'5" / 220 lbs AAA

2026 ROS PROJECTION0 act + 1 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 124115vR 107

ERA4.76

FIP4.76

K%20.7%

BB%10.6%

K-BB%10.2%

ROS IP1

Value2026 · WAR

Runs saved vs league avg · 1 IP

Grades · Arsenal · Contract

Scouting Grades

K†5050

FB-1.1

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 + 2026 so far)
2015	23	A MLE	Great Lakes Loons	29	0	52	224	54	25	1	0%	1.8	17.8%	13.2%	4.7%	0.6%	2.26	3.62	—
2015	23	A RAW	Great Lakes Loons	29	0	52	224	54	25	1	0%	1.8	24.1%	11.2%	12.9%	0.4%	2.26	2.71	—
2016	24	MIX MLE	2 levels	23	0	39	167	34	20	2	0%	1.7	16.1%	13.4%	2.7%	1.5%	3.43	4.28	—
2016	24	MIX RAW	2 levels	23	0	39	167	34	20	2	0%	1.7	20.4%	12.0%	8.4%	1.2%	3.43	3.56	—
2022	30	MIX MLE	3 levels	45	14	71	308	84	43	6	31%	1.6	22.8%	15.0%	7.8%	1.8%	4.31	4.07	+0.4
2022	30	MIX RAW	3 levels	45	14	71	308	84	43	6	31%	1.6	27.3%	14.0%	13.3%	1.9%	4.31	3.65	+0.8
2023	31	AAA MLE	Syracuse Mets	18	0	22	108	20	17	5	0%	1.2	15.4%	14.2%	1.2%	5.1%	8.18	6.38	—
2023	31	AAA MLE	Syracuse Mets	18	0	22	108	20	17	5	0%	1.2	15.4%	14.2%	1.2%	5.1%	8.18	6.38	—
2023	31	AAA RAW	Syracuse Mets	18	0	22	108	20	17	5	0%	1.2	18.5%	15.7%	2.8%	4.6%	8.18	6.55	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			1	0	1	5	1	1	1	0%	1.0	20.0%	20.0%	0.0%	20.0%	18.00	17.10	-0.1
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	34	MLB	NYM	1	0	1	4	1	0	0	0%	1.0	20.7%	10.6%	10.2%	3.1%	4.76	4.76	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	35	MLB MLE	NYM	19	0	20	84	17	9	3	0%	1.1	20.4%	11.0%	9.4%	3.4%	4.90	5.02	-0.1
2027	35	MLB CTX	NYM	1	0	1	4	1	0	0	0%	1.0	20.4%	11.0%	9.4%	3.4%	4.90	5.02	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		2	0	2	10	2	2	1	0%	1.1	20.2%	15.7%	4.5%	12.0%	11.14	9.97	-0.1
/ 200 IP	—	RAW		195	0	200	919	190	190	95	0%	1.0	20.2%	15.7%	4.5%	12.0%	11.14	9.97	-12.6
Career	—	MLE		115	14	184	807	154	113	15	12%	1.6	19.0%	14.0%	5.0%	1.9%	4.01	4.30	-0.3
/ 200 IP	—	MLE		125	15	200	877	167	123	16	12%	1.6	19.0%	14.0%	5.0%	1.9%	4.01	4.30	-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
Bubby Rossman (OGILVIE)	—	—	4.76	20.7%	10.6%	3.1%	—	5.02	20.4%	9.4%	20	+0.26	—	—	—
Hirokazu Sawamura R 2022 · 4.02 FIP	34	SU	4.02	18.1%	11.3%	1.9%	.270	—	—	—	—	—	4.02	104	76
Diego Moreno R 2021 · 4.75 FIP	34	SU	4.75	18.6%	9.4%	3.7%	.232	—	—	—	—	—	2.29	187	74
Manny Acosta R 2016 · 4.19 FIP	35	SU	4.19	18.1%	9.1%	2.7%	.273	3.08	23.2%	9.9%	44	-1.11	3.08	102	73
Rafael Dolis R 2022 · 3.61 FIP	34	SU	3.61	19.9%	11.9%	1.2%	.275	—	—	—	—	—	2.80	162	71
Mark Lowe R 2017 · 5.03 FIP	34	SU	5.03	16.4%	10.0%	3.7%	.331	—	—	—	—	—	2.37	153	70
Clayton Mortensen R 2017 · 4.59 FIP	32	SU	4.59	23.2%	14.2%	3.0%	.258	—	—	—	—	—	4.31	221	70
Francisco Del Rosario R 2017 · 4.15 FIP	36	SU	4.15	16.4%	10.0%	2.1%	.267	6.35	11.9%	-0.6%	77	+2.20	4.15	145	70
Dustin McGowan R 2016 · 3.82 FIP	34	SU	3.82	22.6%	9.3%	2.6%	.230	4.58	19.4%	12.7%	78	+0.76	3.82	208	69
Mark Serrano R 2019 · 5.25 FIP	33	SU	5.25	20.2%	7.9%	5.2%	.289	—	—	—	—	—	3.16	120	69
Ramon E Ramirez R 2016 · 3.60 FIP	34	SU	3.60	18.4%	6.0%	2.4%	.262	3.49	14.0%	8.2%	40	-0.11	2.37	140	69
Carlos Fisher R 2017 · 3.91 FIP	34	SU	3.91	18.1%	12.9%	1.3%	.333	—	—	—	—	—	2.48	147	69
Rudy Gonzalez R 2015 · 4.52 FIP	34	SW	4.52	13.5%	9.6%	2.4%	.347	3.84	14.0%	6.5%	79	-0.68	3.31	119	69
Josh Lueke R 2019 · 4.11 FIP	34	SU	4.11	20.4%	6.4%	3.5%	.311	—	—	—	—	—	2.29	107	69
Jean Machi R 2016 · 4.36 FIP	34	SU	4.36	18.3%	6.6%	3.6%	.282	4.12	18.6%	12.0%	67	-0.24	4.12	186	69
Ross Ohlendorf R 2016 · 4.93 FIP	33	SU	4.93	23.4%	10.7%	4.5%	.254	—	—	—	—	—	3.30	122	68
Javy Guerra R 2020 · 4.37 FIP	34	SU	4.37	18.6%	10.0%	2.9%	.354	—	—	—	—	—	2.95	260	67
Juan Sandoval R 2015 · 3.82 FIP	34	SU	3.82	15.4%	6.0%	2.3%	.294	3.33	17.4%	8.8%	116	-0.49	3.24	225	67
Oscar Villarreal R 2016 · 3.90 FIP	34	SW	3.90	14.4%	7.8%	1.9%	.325	5.36	8.7%	0.1%	13	+1.46	2.53	135	66
Jim Johnson R 2017 · 3.89 FIP	34	SU	3.89	23.8%	8.6%	3.1%	.309	4.48	16.8%	9.0%	63	+0.59	2.56	251	66
Hector Navarro R 2015 · 4.35 FIP	35	SU	4.35	15.0%	5.4%	3.3%	.281	3.00	15.2%	9.0%	81	-1.35	2.30	126	66