Roman Phansalkar

Roman Phansalkar P Rocket City Trash Pandas

Age 28 RHP 6'1" / 203 lbs AA

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 24 proj IP

wRC+ AGAINSTvL 132124vR 116

ERA5.21

FIP5.21

K%18.2%

BB%13.2%

K-BB%5.1%

ROS IP25

Value2026 · WAR

Runs saved vs league avg · 24 IP

Grades · Contract

Scouting Grades

K†4545

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)
2022	24	A MLE	Inland Empire 66ers	12	0	17	77	14	12	2	0%	1.4	13.5%	18.4%	-4.9%	3.8%	5.29	6.38	—
2022	24	A RAW	Inland Empire 66ers	12	0	17	77	14	12	2	0%	1.4	18.2%	15.6%	2.6%	2.6%	5.29	5.10	—
2023	25	MIX MLE	2 levels	36	0	58	240	59	27	4	0%	1.6	18.7%	13.1%	5.6%	2.2%	3.28	4.38	—
2023	25	MIX MLE	2 levels	36	0	58	240	59	27	4	0%	1.6	18.7%	13.1%	5.6%	2.2%	3.28	4.38	—
2023	25	MIX RAW	2 levels	36	0	58	240	59	27	4	0%	1.6	24.6%	11.2%	13.3%	1.7%	3.28	3.36	—
2024	26	MIX MLE	2 levels	42	0	59	271	56	31	7	0%	1.4	15.8%	13.2%	2.6%	3.6%	5.22	5.39	—
2024	26	MIX MLE	2 levels	42	0	59	271	56	31	7	0%	1.4	15.8%	13.2%	2.6%	3.6%	5.22	5.39	—
2024	26	MIX RAW	2 levels	42	0	59	271	56	31	7	0%	1.4	20.7%	11.4%	9.2%	2.6%	5.22	4.33	—
2025	27	MIX MLE	3 levels	29	0	37	165	42	19	2	0%	1.3	18.2%	14.5%	3.6%	1.7%	2.89	4.33	—
2025	27	MIX MLE	3 levels	29	0	37	165	42	19	2	0%	1.3	18.2%	14.5%	3.6%	1.7%	2.89	4.33	—
2025	27	MIX RAW	3 levels	29	0	37	165	42	19	2	0%	1.3	25.5%	11.5%	13.9%	1.2%	2.89	3.07	—
▸ 2026 season
YTD	28	AA MLE	Rocket City Trash Pandas	2	0	0	10	0	6	0	0%	0.2	—	—	—	—	108.00	—	—
YTD	28	AA MLE	Rocket City Trash Pandas	2	0	0	10	0	6	0	0%	0.2	—	—	—	—	108.00	—	—
▸ 2026 season — so far · projected rest · full
2026	28	AA RAW	LAA	2	0	0	10	0	6	0	0%	0.1	0.0%	60.0%	-60.0%	0.0%	108.00	10.70	—
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	29	MLB MLE	LAA	22	0	24	100	18	13	3	0%	1.1	18.5%	13.0%	5.5%	3.1%	5.20	5.25	-0.2
2027	29	MLB CTX	LAA	7	0	7	30	5	4	1	0%	1.0	18.5%	13.0%	5.5%	3.1%	5.20	5.25	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		7	0	7	31	6	4	1	0%	1.1	18.5%	13.0%	5.5%	3.1%	5.20	4.87	-0.0
/ 200 IP	—	RAW		190	0	200	844	162	108	27	0%	1.1	18.5%	13.0%	5.5%	3.1%	5.20	4.87	-0.8
Career	—	MLE		121	0	171	763	128	111	21	0%	1.4	16.8%	14.6%	2.2%	2.7%	4.26	5.01	-0.2
/ 200 IP	—	MLE		142	0	200	892	150	130	24	0%	1.4	16.8%	14.6%	2.2%	2.7%	4.26	5.01	-1.6

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
Roman Phansalkar (OGILVIE)	—	—	5.21	18.2%	13.2%	2.9%	—	5.25	18.5%	5.5%	24	+0.04	—	—	—
Spencer Bivens R 2022 · 4.86 FIP	28	SU	4.86	19.8%	13.5%	3.1%	.265	3.86	18.0%	10.2%	272	-1.00	3.52	390	90
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	89
Ryan Cook R 2015 · 4.73 FIP	28	SU	4.73	16.5%	9.9%	3.2%	.297	3.96	25.1%	14.3%	50	-0.77	3.96	102	85
Tanner Scheppers R 2015 · 4.37 FIP	28	SU	4.37	17.7%	11.2%	2.5%	.263	4.86	15.7%	9.0%	48	+0.49	4.37	101	85
Arcenio Leon R 2015 · 4.73 FIP	28	SU	4.73	17.9%	12.5%	2.9%	.450	3.37	18.0%	9.1%	85	-1.36	3.00	115	84
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	83
Luis Mateo R 2017 · 4.60 FIP	27	SU	4.60	17.6%	11.2%	2.9%	.309	5.55	8.6%	-4.8%	43	+0.95	3.48	160	83
Javy Guerra R 2016 · 4.29 FIP	30	SU	4.29	21.3%	13.9%	2.3%	.303	3.95	19.5%	13.0%	193	-0.34	2.95	260	83
Brandon Cunniff R 2017 · 4.79 FIP	28	SU	4.79	20.1%	11.6%	3.5%	.275	6.80	13.9%	-1.9%	30	+2.01	3.89	180	83
Wil Browning R 2017 · 4.44 FIP	28	SU	4.44	17.9%	13.1%	2.2%	.359	—	—	—	—	—	2.14	162	82
Gregory Infante R 2015 · 4.54 FIP	28	SU	4.54	16.9%	15.7%	1.6%	.290	3.78	21.3%	12.7%	181	-0.76	2.97	230	82
Ronald Peña R 2019 · 4.55 FIP	27	SU	4.55	20.5%	12.6%	2.9%	.355	4.49	16.5%	6.1%	39	-0.06	3.72	187	82
Beck Wheeler R 2017 · 5.40 FIP	28	SU	5.40	15.3%	12.2%	3.7%	.347	—	—	—	—	—	3.46	173	81
Josh Zeid R 2015 · 4.12 FIP	28	SU	4.12	16.6%	12.5%	1.6%	.302	5.19	16.9%	5.7%	194	+1.07	4.12	265	80
Theo Denlinger R 2023 · 4.21 FIP	27	SU	4.21	19.8%	15.1%	1.6%	.266	4.23	15.3%	9.9%	41	+0.02	2.92	140	80
Jose De La Torre R 2015 · 4.40 FIP	29	SU	4.40	14.5%	13.1%	1.6%	.256	2.98	21.6%	14.2%	65	-1.42	2.64	130	79
Guido Knudson R 2016 · 4.69 FIP	26	SU	4.69	17.5%	10.8%	3.1%	.235	—	—	—	—	—	3.50	106	79
David Goforth R 2017 · 5.09 FIP	28	SU	5.09	13.6%	10.2%	3.4%	.282	4.07	14.1%	5.5%	68	-1.02	3.98	256	79
Jake Haberer R 2023 · 5.10 FIP	28	SU	5.10	16.4%	14.7%	2.8%	.262	5.03	16.2%	-1.4%	15	-0.07	3.46	183	78
Chris Jefferson R 2023 · 4.45 FIP	26	SU	4.45	16.6%	11.8%	2.3%	.333	5.65	16.4%	2.8%	46	+1.20	3.53	140	78