Sal Romano

P Worcester Red Sox

Age 33 RHP 6'5" / 255 lbs AAA

Overview

AAARP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2020	26	MLBCIN	2	0	1	0.00	3.10	0.0%	0.0%	0.0
2021	27	MIX2 levels	44	0	55	4.72	3.75	16.9%	5.6%	0.5	K 15.7% · BB 5.7% · FIP 3.75
2024	30	AAABOS	15	0	25	9.24	6.02	12.8%	11.1%	—	K 11.0% · BB 10.0% · FIP 6.03
2025	31	No MLB games played
2026	32	No MLB games played
2027PROJ	33	MLBBOS	1	0	1	4.51	4.54	21.6%	9.3%	0.0
2028PROJ6% MLB	34	MLBBOS	1	0	1	4.66	4.79	20.7%	9.8%	-0.0

Last 3 seasons WAR 0.5 · Next 2 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2021

FB Velo34

K%10

xwOBA vs10

CompsMitch Lively (age 31) · Pete Walker (age 33) · Kenshin Kawakami (age 34)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 119111vR 103

ERA4.51

FIP4.54

K%21.6%

BB%9.3%

K-BB%12.3%

Proj IP13

Value2027 · WAR

Runs saved vs league avg · 13 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p3493.4

Whiff%

p1013.0%

p1014.4%

xwOBA vs

p100.371

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)
2015	21	MIX MLE	2 levels	26	25	127	548	88	45	6	96%	4.9	12.4%	9.3%	3.1%	1.3%	4.82	3.94	—
2015	21	MIX RAW	2 levels	26	25	127	548	88	45	6	96%	4.9	16.1%	8.2%	7.8%	1.1%	4.82	3.39	—
2016	22	AA MLE	Pensacola Blue Wahoos	27	27	156	654	144	33	10	100%	5.8	17.8%	5.6%	12.3%	2.0%	3.52	3.39	—
2016	22	AA RAW	Pensacola Blue Wahoos	27	27	156	654	144	33	10	100%	5.8	22.0%	5.0%	17.0%	1.5%	3.52	2.72	—
2017	23	MIX MLE	2 levels	26	26	136	596	105	52	10	100%	5.2	17.0%	8.9%	8.1%	1.6%	4.09	3.65	+2.9
2017	23	MIX RAW	2 levels	26	26	136	596	105	52	10	100%	5.2	17.6%	8.7%	8.9%	1.7%	4.09	3.66	+2.9
2018	24	MLB MLE	Cincinnati Reds	39	25	146	644	105	47	23	64%	3.7	16.3%	7.3%	9.0%	3.3%	5.31	4.46	+1.6
2018	24	MLB RAW	Cincinnati Reds	39	25	146	644	105	47	23	64%	3.7	16.3%	7.3%	9.0%	3.6%	5.31	4.68	+1.2
2019	25	MIX MLE	2 levels	55	5	86	377	92	31	10	9%	1.6	22.0%	8.5%	13.4%	2.8%	4.94	3.87	+0.7
2019	25	MIX RAW	2 levels	55	5	86	377	92	31	10	9%	1.6	24.4%	8.2%	16.2%	2.7%	4.94	3.56	+1.0
2020	26	MLB MLE	Cincinnati Reds	2	0	1	4	0	0	0	0%	0.7	0.0%	0.0%	0.0%	0.0%	0.00	3.10	+0.0
2020	26	MLB RAW	Cincinnati Reds	2	0	1	4	0	0	0	0%	0.7	0.0%	0.0%	0.0%	0.0%	0.00	3.10	+0.0
2021	27	MIX MLE	2 levels	44	0	55	249	42	14	6	0%	1.3	15.7%	5.7%	9.9%	2.3%	4.72	3.75	+0.5
2021	27	MIX RAW	2 levels	44	0	55	249	42	14	6	0%	1.3	16.9%	5.6%	11.2%	2.4%	4.72	3.75	+0.5
2024	30	AAA MLE	Worcester Red Sox	15	0	25	117	15	13	5	0%	1.7	11.0%	10.0%	1.0%	4.7%	9.24	6.03	—
2024	30	AAA MLE	Worcester Red Sox	15	0	25	117	15	13	5	0%	1.7	11.0%	10.0%	1.0%	4.7%	9.24	6.03	—
2024	30	AAA RAW	Worcester Red Sox	15	0	25	117	15	13	5	0%	1.7	12.8%	11.1%	1.7%	4.3%	9.24	6.02	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			88	41	275	1227	211	98	41	47%	3.1	17.2%	8.0%	9.2%	3.3%	5.23	4.57	-0.1
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	33	MLB	BOS	1	0	1	4	1	0	0	0%	1.0	21.6%	9.3%	12.3%	3.1%	4.51	4.54	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	34	MLB MLE	BOS	16	0	17	71	15	7	2	0%	1.1	20.7%	9.8%	10.9%	3.4%	4.71	4.84	-0.1
2028	34	MLB CTX	BOS	1	0	1	4	1	0	0	0%	1.0	20.7%	9.8%	10.9%	3.3%	4.66	4.79	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		89	41	276	1231	212	98	41	46%	3.1	17.2%	8.0%	9.2%	3.3%	5.23	4.49	+0.2
/ 200 IP	—	RAW		64	30	200	891	153	71	30	46%	3.1	17.2%	8.0%	9.2%	3.3%	5.23	4.49	+0.1
Career	—	MLE		234	108	733	3189	526	245	72	46%	3.1	16.5%	7.7%	8.8%	2.3%	4.66	3.93	-0.1
/ 200 IP	—	MLE		64	29	200	871	144	67	20	46%	3.1	16.5%	7.7%	8.8%	2.3%	4.66	3.93	-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.

2024 AAAWorcester Red Sox · 25 IPFIP 5.77 → 6.03 (+0.26)K% 12.8% → 11.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	12.82%	—	×0.860	11.03%
BB% (unintentional) /BF	11.11%	—	×0.900	10.00%
HR / BF /BF	4.27%	÷0.996	×1.100	4.72%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 99).

Result: FIP 5.77 → 6.03, 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).

2021 AAAScranton/Wilkes-Barre RailRiders · 30 IPFIP 2.39 → 2.59 (+0.20)K% 19.1% → 16.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.08%	—	×0.880	16.79%
BB% (unintentional) /BF	3.82%	—	×1.050	4.01%
HR / BF /BF	0.76%	÷1.149	×1.100	0.73%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 130).

Result: FIP 2.39 → 2.59, 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).

2019 AAALouisville Bats · 69 IPFIP 3.07 → 3.54 (+0.47)K% 25.3% → 22.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.33%	—	×0.880	22.29%
BB% (unintentional) /BF	8.00%	—	×1.050	8.40%
HR / BF /BF	2.00%	÷0.957	×1.100	2.30%

Result: FIP 3.07 → 3.54, 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).

2017 AAALouisville Bats · 49 IPFIP 3.10 → 3.32 (+0.22)K% 15.1% → 13.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	15.09%	—	×0.880	13.28%
BB% (unintentional) /BF	8.02%	—	×1.050	8.42%
HR / BF /BF	0.47%	÷1.042	×1.100	0.50%

Result: FIP 3.10 → 3.32, 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).

2016 AAPensacola Blue Wahoos · 156 IPFIP 2.72 → 3.39 (+0.67)K% 22.0% → 17.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.02%	—	×0.810	17.83%
BB% (unintentional) /BF	5.05%	—	×1.100	5.55%
HR / BF /BF	1.53%	÷0.924	×1.200	1.98%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 85).

Result: FIP 2.72 → 3.39, 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).

2015 A+Daytona Tortugas · 104 IPFIP 2.78 → 3.33 (+0.55)K% 18.2% → 14.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.20%	—	×0.770	14.02%
BB% (unintentional) /BF	7.60%	—	×1.150	8.74%
HR / BF /BF	0.46%	÷1.047	×1.250	0.55%

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 109).

Result: FIP 2.78 → 3.33, 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).

2015 AAPensacola Blue Wahoos · 23 IPFIP 5.69 → 6.25 (+0.56)K% 7.9% → 6.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	7.89%	—	×0.810	6.39%
BB% (unintentional) /BF	10.53%	—	×1.100	11.58%
HR / BF /BF	3.51%	÷1.037	×1.200	4.06%

Result: FIP 5.69 → 6.25, 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
Sal Romano (OGILVIE)	—	—	—	—	—	3.1%	—	4.84	20.7%	10.9%	17	+0.30	—	—	—
Mitch Lively R 2017 · 3.47 FIP	31	SP-	3.47	17.0%	6.4%	1.8%	.304	—	—	—	—	—	2.39	158	60
Pete Walker R 2002 · 4.59 FIP	33	SP-	4.59	13.4%	7.7%	3.0%	.279	5.16	12.0%	2.8%	139	+0.57	4.45	327	60
Kenshin Kawakami R 2009 · 3.97 FIP	34	SP-	3.97	15.7%	7.6%	2.2%	.277	4.06	15.1%	9.5%	87	+0.09	3.97	244	59
Austin Bibens-Dirkx R 2018 · 4.89 FIP	33	SP-	4.89	17.9%	7.6%	4.3%	.322	4.82	15.9%	9.5%	147	-0.07	3.97	567	58
Toru Murata R 2016 · 3.63 FIP	31	SW	3.63	12.9%	5.7%	1.6%	.288	—	—	—	—	—	3.63	267	57
Casey Lawrence R 2021 · 4.08 FIP	33	SP-	4.08	20.0%	5.2%	3.7%	.284	4.99	15.9%	10.6%	440	+0.91	3.57	1,374	55
Chris Jakubauskas R 2011 · 4.42 FIP	32	SW	4.42	15.7%	7.9%	3.0%	.339	—	—	—	—	—	4.42	165	55
Angel Castro R 2016 · 5.42 FIP	33	SW	5.42	12.3%	9.1%	4.0%	.304	3.51	14.5%	7.1%	139	-1.91	3.51	292	53
Marco Quevedo R 2019 · 5.17 FIP	32	SP-	5.17	13.6%	11.4%	3.2%	.344	—	—	—	—	—	4.13	300	53
Zach Neal R 2022 · 5.53 FIP	33	SP-	5.53	16.1%	5.7%	5.6%	.321	5.98	15.6%	9.6%	101	+0.45	4.24	732	53
Mike Burns R 2009 · 4.90 FIP	31	SP-	4.90	17.2%	6.6%	4.4%	.307	—	—	—	—	—	3.10	104	52
Angel Sánchez R 2023 · 4.90 FIP	33	SW	4.90	19.0%	10.5%	3.8%	.333	3.77	11.8%	6.8%	27	-1.13	3.77	284	51
Deck McGuire R 2022 · 5.12 FIP	33	SP-	5.12	15.7%	13.1%	3.1%	.279	—	—	—	—	—	3.41	622	51
Ivan Maldonado R 2015 · 4.60 FIP	35	SW	4.60	12.8%	8.7%	2.7%	.269	5.41	6.4%	-3.3%	104	+0.81	4.60	172	51
Giovanni Carrara R 2001 · 4.06 FIP	33	SU	4.06	20.1%	6.0%	3.5%	.249	4.28	15.7%	7.9%	173	+0.22	2.50	462	48
Shawn Haviland R 2017 · 5.00 FIP	31	SP-	5.00	16.3%	8.1%	4.1%	.261	—	—	—	—	—	3.69	283	48
Jarrett Grube R 2015 · 3.75 FIP	33	SP	3.75	18.7%	4.2%	3.1%	.285	4.57	17.3%	9.6%	253	+0.82	3.75	393	47
Junior Guerra R 2018 · 3.99 FIP	33	SP	3.99	22.3%	9.0%	3.0%	.309	4.12	21.2%	9.1%	173	+0.13	3.18	646	46
Osvaldo Fernandez R 2001 · 4.53 FIP	32	SP-	4.53	9.6%	8.2%	2.2%	.324	—	—	—	—	—	4.25	387	46
César Valdez R 2017 · 3.91 FIP	32	SP-	3.91	16.4%	5.3%	2.8%	.296	2.65	18.7%	15.4%	162	-1.26	1.91	902	45

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 2,161 pitcher careers (1,251 from 1990-2025 + 910 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	1.5	61	17.6%	8.9%	1.29	5.17
Buddy Carlyle ('15)	1.5	58	18.5%	8.5%	1.32	5.14
Rob Gardner ('65-'73, -2 WAR*)	1.7	66	17.4%*	9.9%*	1.32*	5.45*
John Strohmayer ('70-'74, -1 WAR*)	1.6	78	19.6%*	9.2%*	1.42*	5.14*
Brad Lincoln ('14)	1.1	56	17.4%	7.9%	1.30	4.74
Ross Ohlendorf ('16)	2.9	84	17.2%	8.6%	1.38	4.82
Mike Gardiner ('90-'95, -1 WAR*)	2.0	98	18.3%*	8.8%*	1.37*	5.10*