Thomas Ponticelli

Thomas Ponticelli P Albuquerque Isotopes

Age 29 RHP 6'1" / 205 lbs AAA

2026 ROS PROJECTION0 act + 2 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 144136vR 128

ERA5.86

FIP5.86

K%12.8%

BB%12.3%

K-BB%0.6%

ROS IP2

Value2026 · WAR

Runs saved vs league avg · 2 IP

Grades · Contract

Scouting Grades

K†3030

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)
2018	21	MIX MLE	2 levels	12	3	28	120	35	4	1	25%	2.4	20.1%	3.6%	16.5%	1.3%	2.54	2.59	—
2018	21	MIX RAW	2 levels	12	3	28	120	35	4	1	25%	2.4	29.2%	3.3%	25.8%	0.8%	2.54	1.51	—
2019	22	A MLE	Lake County Captains	24	12	92	412	73	46	15	50%	3.8	13.1%	13.2%	-0.1%	4.8%	5.07	6.29	—
2019	22	A RAW	Lake County Captains	24	12	92	412	73	46	15	50%	3.8	17.7%	11.2%	6.6%	3.6%	5.07	5.13	—
2021	24	MIX MLE	2 levels	28	12	91	377	82	32	8	43%	3.3	17.2%	9.7%	7.5%	3.0%	2.96	4.50	—
2021	24	MIX RAW	2 levels	28	12	91	377	82	32	8	43%	3.3	21.8%	8.5%	13.3%	2.1%	2.96	3.49	—
2022	25	MIX MLE	2 levels	39	9	71	308	63	33	8	23%	1.8	17.0%	11.6%	5.4%	3.1%	4.04	4.82	—
2022	25	MIX RAW	2 levels	39	9	71	308	63	33	8	23%	1.8	20.5%	10.7%	9.7%	2.6%	4.04	4.18	—
2023	26	AAA MLE	Columbus Clippers	44	5	64	293	57	29	8	11%	1.5	16.1%	8.9%	7.2%	2.9%	4.64	4.45	—
2023	26	AAA MLE	Columbus Clippers	44	5	64	293	57	29	8	11%	1.5	16.1%	8.9%	7.2%	2.9%	4.64	4.45	—
2023	26	AAA RAW	Columbus Clippers	44	5	64	293	57	29	8	11%	1.5	19.5%	9.9%	9.6%	2.7%	4.64	4.30	—
2024	27	AAA MLE	Albuquerque Isotopes	10	8	28	162	12	29	11	80%	2.8	6.1%	16.1%	-10.0%	6.8%	14.96	8.36	—
2024	27	AAA MLE	Albuquerque Isotopes	10	8	28	162	12	29	11	80%	2.8	6.1%	16.1%	-10.0%	6.8%	14.96	8.36	—
2024	27	AAA RAW	Albuquerque Isotopes	10	8	28	162	12	29	11	80%	2.8	7.4%	17.9%	-10.5%	6.8%	14.96	10.55	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	29	MLB	COL	2	0	2	8	1	1	0	0%	1.0	12.8%	12.3%	0.6%	3.5%	5.86	5.86	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	30	MLB MLE	COL	19	0	20	85	11	10	3	0%	1.1	13.5%	12.3%	1.3%	3.6%	5.81	5.89	-0.3
2027	30	MLB CTX	COL	7	0	7	30	4	4	1	0%	1.0	13.5%	12.3%	1.3%	3.6%	5.81	5.89	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		7	0	7	31	4	4	1	0%	1.1	13.5%	12.3%	1.3%	3.6%	5.81	5.51	-0.1
/ 200 IP	—	RAW		190	0	200	844	108	108	27	0%	1.1	13.5%	12.3%	1.3%	3.6%	5.81	5.51	-2.2
Career	—	MLE		157	49	375	1672	253	183	61	31%	2.4	15.1%	10.9%	4.2%	3.7%	4.82	5.23	-0.3
/ 200 IP	—	MLE		84	26	200	892	135	98	33	31%	2.4	15.1%	10.9%	4.2%	3.7%	4.82	5.23	-3.1

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
Thomas Ponticelli (OGILVIE)	—	—	5.86	12.8%	12.3%	3.5%	—	5.89	13.5%	1.3%	20	+0.03	—	—	—
Alex Caldera R 2015 · 5.57 FIP	29	SW	5.57	10.4%	13.1%	3.1%	.333	4.54	11.9%	0.8%	84	-1.03	4.54	120	89
Benjamin Sandoval R 2016 · 5.13 FIP	29	SU	5.13	6.7%	11.3%	2.1%	.292	5.51	9.0%	-4.4%	49	+0.38	4.66	146	76
Fernando Villalobos R 2015 · 5.33 FIP	30	SU	5.33	8.3%	13.1%	2.3%	.365	4.36	11.4%	3.1%	109	-0.97	4.00	152	73
Nelson Gonzalez R 2019 · 6.52 FIP	29	SW	6.52	15.7%	13.1%	5.6%	.294	5.62	19.2%	8.7%	25	-0.90	3.42	258	73
David Holman R 2019 · 5.80 FIP	29	SW	5.80	8.9%	10.7%	3.8%	.351	—	—	—	—	—	5.28	129	73
Francisco Cordova R 2015 · 5.51 FIP	31	SW	5.51	6.4%	4.6%	4.3%	.261	4.59	7.1%	-0.6%	83	-0.92	4.59	115	72
Oscar Verdugo R 2017 · 6.31 FIP	27	SU	6.31	10.3%	13.8%	4.2%	.277	—	—	—	—	—	5.01	144	71
Beck Wheeler R 2017 · 5.40 FIP	28	SU	5.40	15.3%	12.2%	3.7%	.347	—	—	—	—	—	3.46	173	70
Orlando Rodriguez R 2023 · 4.67 FIP	27	SW	4.67	13.7%	10.6%	2.5%	.252	—	—	—	—	—	4.40	119	70
Victor Mateo R 2016 · 5.45 FIP	27	SW	5.45	10.2%	12.2%	3.0%	.370	—	—	—	—	—	4.32	199	70
Grant Black R 2023 · 5.54 FIP	29	SU	5.54	15.4%	11.3%	4.2%	.352	—	—	—	—	—	4.46	215	70
Lindsey Caughel R 2018 · 5.12 FIP	27	SW	5.12	13.3%	8.3%	3.8%	.301	—	—	—	—	—	4.49	187	70
Mike McCarthy R 2016 · 5.03 FIP	28	SW	5.03	6.2%	9.7%	2.2%	.305	—	—	—	—	—	4.78	153	69
Mike Adams R 2022 · 5.36 FIP	27	SU	5.36	17.1%	11.2%	4.2%	.326	—	—	—	—	—	3.65	109	69
Andres Santiago R 2019 · 6.10 FIP	29	SW	6.10	10.9%	13.1%	4.1%	.309	—	—	—	—	—	3.76	291	69
Brad Allen R 2016 · 5.82 FIP	27	SW	5.82	14.7%	13.2%	4.2%	.272	—	—	—	—	—	4.25	149	68
Lisalverto Bonilla R 2019 · 4.70 FIP	29	SP-	4.70	15.8%	12.6%	2.5%	.265	—	—	—	—	—	3.22	221	68
Jose A. Flores R 2018 · 4.77 FIP	29	SP-	4.77	13.7%	10.3%	2.8%	.350	—	—	—	—	—	2.94	237	67
Paul Clemens R 2017 · 4.72 FIP	29	SW	4.72	14.9%	11.0%	2.7%	.264	—	—	—	—	—	4.58	247	67
Juan Paniagua R 2017 · 4.75 FIP	27	SW	4.75	12.9%	13.9%	1.8%	.375	—	—	—	—	—	4.57	151	67