Thomas Balboni Jr.

P Hudson Valley Renegades

Age 27 RHP 6'4" / 185 lbs A+

Overview

A+PROSPECT

ETA2029MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	23	ASD	23	2	43	7.17	3.12	23.7%	9.3%	—	K 17.5% · BB 10.9% · FIP 3.99
2024	24	MIX2 levels	41	0	44	5.08	1.66	38.2%	13.0%	—	K 28.5% · BB 15.3% · FIP 2.99
2026	26	MIX2 levels	34	0	38	3.82	3.15	34.5%	10.3%	—	K 27.5% · BB 11.9% · FIP 4.07
2027PROJ	27	MLBNYY	—	—	0	4.49	4.49	28.2%	13.9%	—
2028PROJ37% MLB	28	MLBNYY	17	0	18	4.52	4.56	27.6%	13.5%	-0.0
2029PROJ55% MLB	29	MLBNYY	23	0	24	4.60	4.67	27.1%	13.4%	-0.0

Next 3 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 -0.0 / P90 0.0, comp-based) · star 0% · didn't stick 96%

CompsPeyton Gray (age 26) · Jacob Bosiokovic (age 27) · Fernando Rodriguez Jr. (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 118110vR 102

ERA4.49

FIP4.49

K%28.2%

BB%13.9%

K-BB%14.4%

Proj IP60

Value2027 · WAR

Runs saved vs league avg · 60 IP

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 the standard WAR scale.

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)
2023	23	A MLE	Lake Elsinore Storm	23	2	43	194	46	18	3	9%	1.9	17.5%	10.9%	6.6%	1.8%	7.17	3.99	—
2023	23	A RAW	Lake Elsinore Storm	23	2	43	194	46	18	3	9%	1.9	23.7%	9.3%	14.4%	1.5%	7.17	3.12	—
2024	24	MIX MLE	2 levels	41	0	44	207	79	27	1	0%	1.1	28.5%	15.3%	13.2%	0.7%	5.08	2.99	—
2024	24	MIX MLE	2 levels	41	0	44	207	79	27	1	0%	1.1	28.5%	15.3%	13.2%	0.7%	5.08	2.99	—
2024	24	MIX RAW	2 levels	41	0	44	207	79	27	1	0%	1.1	38.2%	13.0%	25.1%	0.5%	5.08	1.66	—
2026	26	MIX MLE	2 levels	34	0	38	165	57	17	5	0%	1.1	27.5%	11.9%	15.6%	3.2%	3.82	4.07	—
2026	26	MIX MLE	2 levels	34	0	38	165	57	17	5	0%	1.1	27.5%	11.9%	15.6%	3.2%	3.82	4.07	—
2026	26	MIX RAW	2 levels	34	0	38	165	57	17	5	0%	1.1	34.5%	10.3%	24.2%	3.0%	3.82	3.15	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	NYY	—	—	0	—	—	—	—	—	—	28.2%	13.9%	14.4%	3.0%	4.49	4.49	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	NYY	47	0	50	209	58	28	6	0%	1.1	27.6%	13.5%	14.1%	3.1%	4.52	4.56	-0.0
2029	29	MLB MLE	NYY	41	0	43	183	49	25	6	0%	1.1	27.1%	13.4%	13.6%	3.2%	4.60	4.67	-0.1
2028	28	MLB CTX	NYY	17	0	18	76	21	10	2	0%	1.1	27.6%	13.5%	14.1%	3.1%	4.52	4.56	-0.0
2029	29	MLB CTX	NYY	23	0	24	101	27	14	3	0%	1.0	27.1%	13.4%	13.6%	3.2%	4.60	4.67	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		40	0	42	177	48	24	6	0%	1.0	27.3%	13.5%	13.8%	3.2%	4.57	4.24	+0.2
/ 200 IP	—	RAW		190	0	200	844	229	114	29	0%	1.1	27.3%	13.5%	13.8%	3.2%	4.57	4.24	+0.7
Career	—	MLE		98	2	125	566	138	73	10	2%	1.3	24.5%	12.8%	11.6%	1.8%	5.41	3.65	-0.1
/ 200 IP	—	MLE		157	3	200	908	222	116	16	2%	1.3	24.5%	12.8%	11.6%	1.8%	5.41	3.65	-0.1

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 A+Hudson Valley Renegades · 35 IPFIP 2.83 → 4.07 (+1.25)K% 35.7% → 27.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.71%	—	×0.770	27.50%
BB% (unintentional) /BF	10.39%	—	×1.150	11.95%
HR / BF /BF	2.60%	÷1.000	×1.250	3.25%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 2.83 → 4.07, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 ALake Elsinore Storm · 34 IPFIP 1.76 → 3.00 (+1.24)K% 38.2% → 28.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	38.22%	—	×0.740	28.28%
BB% (unintentional) /BF	12.10%	—	×1.180	14.28%
HR / BF /BF	0.64%	÷0.953	×1.300	0.87%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 91).

Result: FIP 1.76 → 3.00, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 A+Hudson Valley Renegades · 10 IPFIP 1.92 → 2.96 (+1.04)K% 38.0% → 29.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	38.00%	—	×0.770	29.26%
BB% (unintentional) /BF	16.00%	—	×1.150	18.40%
HR / BF /BF	0.00%	÷1.032	×1.250	0.00%

Result: FIP 1.92 → 2.96, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 ALake Elsinore Storm · 43 IPFIP 3.12 → 3.99 (+0.87)K% 23.7% → 17.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.71%	—	×0.740	17.55%
BB% (unintentional) /BF	9.28%	—	×1.180	10.95%
HR / BF /BF	1.55%	÷1.121	×1.300	1.79%

Result: FIP 3.12 → 3.99, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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 Balboni Jr. (OGILVIE)	—	—	—	—	—	3.0%	—	4.61	27.3%	13.9%	93	+0.12	—	—	—
Peyton Gray R 2021 · 4.27 FIP	26	SU	4.27	29.2%	14.1%	3.4%	.307	—	—	—	—	—	3.62	160	88
Jacob Bosiokovic R 2021 · 3.93 FIP	27	SU	3.93	26.4%	14.3%	2.3%	.274	4.80	21.7%	10.2%	69	+0.87	3.84	181	86
Fernando Rodriguez Jr. R 2011 · 3.85 FIP	27	SU	3.85	24.7%	10.8%	2.7%	.315	3.90	25.2%	16.5%	70	+0.05	3.34	335	86
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	86
Beck Wheeler R 2016 · 4.42 FIP	27	SU	4.42	24.9%	14.5%	2.9%	.360	5.40	15.3%	3.1%	58	+0.98	3.46	173	85
Ryan Garton R 2017 · 3.67 FIP	27	SU	3.67	25.2%	11.3%	2.3%	.252	4.15	23.5%	10.8%	108	+0.48	3.14	307	83
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
Jose Veras R 2008 · 3.67 FIP	27	SU	3.67	24.9%	9.1%	2.8%	.281	4.10	23.8%	11.7%	169	+0.43	3.37	422	81
Jason Bulger R 2008 · 4.60 FIP	29	SU	4.60	27.4%	12.3%	4.1%	.293	3.94	25.1%	13.3%	90	-0.66	3.78	106	81
Grant Balfour R 2004 · 3.79 FIP	26	SU	3.79	24.4%	11.6%	2.3%	.292	4.01	24.8%	8.3%	25	+0.22	2.04	533	80
Kyle Barraclough R 2017 · 3.42 FIP	27	SU	3.42	26.6%	12.2%	1.8%	.282	4.99	24.5%	12.2%	89	+1.57	1.95	523	80
Parker Markel R 2019 · 4.87 FIP	28	SU	4.87	29.7%	16.5%	4.0%	.250	4.33	28.9%	11.6%	97	-0.54	3.18	266	80
Spencer Patton R 2015 · 3.47 FIP	27	SU	3.47	26.8%	9.6%	2.6%	.295	2.79	30.3%	18.1%	57	-0.68	2.79	239	79
Matt Blackham R 2019 · 3.90 FIP	26	SU	3.90	25.4%	12.0%	2.6%	.206	6.85	26.9%	8.7%	25	+2.95	2.08	187	79
Dennis Sarfate R 2008 · 4.42 FIP	27	SU	4.42	24.0%	16.7%	2.2%	.263	4.81	19.8%	5.9%	23	+0.39	4.42	103	79
Eric Orze R 2024 · 3.88 FIP	26	SU	3.88	28.1%	10.9%	3.2%	.261	3.43	22.3%	13.6%	135	-0.45	3.33	354	79
Scott Dohmann R 2005 · 4.93 FIP	27	SU	4.93	24.5%	12.6%	4.2%	.321	4.69	18.9%	7.5%	96	-0.24	4.28	173	79
Chaz Roe R 2013 · 4.02 FIP	26	SU	4.02	25.3%	10.5%	3.1%	.259	2.81	24.6%	16.2%	133	-1.21	1.72	279	79
Colin McKee R 2021 · 4.60 FIP	27	SU	4.60	29.3%	13.5%	4.1%	.302	4.40	16.6%	-4.7%	14	-0.20	4.18	148	78
Nathanael Santiago R 2017 · 3.66 FIP	27	SU	3.66	25.5%	12.6%	2.0%	.272	2.49	19.9%	14.3%	37	-1.17	2.49	138	78

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 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	0.8	51	27.7%	13.6%	1.19	4.53
Kyle Barraclough ('23)	1.4	56	28.2%	13.9%	0.99	3.86
John Hudek ('99)	1.0	40	23.0%	13.7%	1.30	4.43
Armando Almanza ('05)	1.1	54	24.4%	14.3%	1.43	4.82
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
Mac Scarce ('72-'78, 1 WAR*)	1.0	52	25.9%*	12.4%*	1.27*	4.17*
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*