Greg Weissert

P Boston Red Sox

Age 32 RHP 6'2" / 235 lbs MLB peak 0.2 · 2027

Overview

MLBRP40-MAN

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	29	MIX2 levels	66	69	2.99	3.50	22.8%	6.3%	0.9	K 22.1% · BB 6.1% · FIP 3.51
2025	30	MLBBOS	72	67	2.82	3.46	20.5%	7.2%	0.9
2026	31	MLBBOS	63	61	3.26	3.73	23.5%	7.1%	0.6
2027PROJ	32	MLBBOS	50	52	3.89	4.15	21.4%	7.0%	0.2
2028PROJ95% MLB	33	MLBBOS	32	34	4.22	4.43	20.6%	7.5%	0.0
2029PROJ90% MLB	34	MLBBOS	20	21	4.53	4.74	19.7%	8.0%	-0.0

Last 3 seasons WAR 2.3 · Next 3 projected WAR 0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

xwOBA vs70

K%57

FB Velo44

Form1.47 ERA (proj 3.89) · K 26.0% (proj 21.4%) · BB 10.4% (proj 7.0%) · last 90d · 18 IP through Oct 27

CompsJose Veras (age 32) · Santiago Casilla (age 32) · Dale Thayer (age 32)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 10597vR 89

ERA3.89

FIP4.15

K%21.4%

BB%7.0%

K-BB%14.4%

Proj IP52

Value2027 · WAR

Runs saved vs league avg · 52 IP

Grades · Statcast · Contract

Scouting Grades

STUF4040

CTRL5555

CMD5050

K†5050

Statcast Percentiles

FB Velo

p4494.1

Whiff%

p3923.7%

p5723.5%

xwOBA vs

p700.293

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)
2016	21	MIX MLE	2 levels	17	0	19	85	25	11	1	0%	1.1	19.4%	19.3%	0.1%	2.4%	2.84	5.22	—
2016	21	MIX RAW	2 levels	17	0	19	85	25	11	1	0%	1.1	29.4%	12.9%	16.5%	1.2%	2.84	2.89	—
2018	23	MIX MLE	2 levels	36	0	61	266	86	25	4	0%	1.7	24.3%	10.9%	13.4%	2.4%	3.12	3.75	—
2018	23	MIX RAW	2 levels	36	0	61	266	86	25	4	0%	1.7	32.3%	9.4%	22.9%	1.5%	3.12	2.36	—
2019	24	MIX MLE	2 levels	39	0	65	279	77	35	3	0%	1.7	21.7%	14.2%	7.5%	1.4%	4.02	3.84	—
2019	24	MIX RAW	2 levels	39	0	65	279	77	35	3	0%	1.7	27.6%	12.5%	15.1%	1.1%	4.02	2.95	—
2021	26	MIX MLE	2 levels	40	0	49	207	60	26	2	0%	1.2	24.8%	13.3%	11.5%	0.9%	1.64	3.19	—
2021	26	MIX RAW	2 levels	40	0	49	207	60	26	2	0%	1.2	29.0%	12.6%	16.4%	1.0%	1.64	2.78	—
2022	27	MIX MLE	2 levels	54	0	59	238	81	23	4	0%	1.1	32.4%	9.9%	22.5%	1.7%	2.43	2.57	+1.4
2022	27	MIX RAW	2 levels	54	0	59	238	81	23	4	0%	1.1	34.0%	9.7%	24.4%	1.7%	2.43	2.41	+1.5
2023	28	MIX MLE	2 levels	55	0	60	256	80	25	8	0%	1.1	28.1%	9.1%	19.0%	3.2%	3.28	3.64	+0.6
2023	28	MIX RAW	2 levels	55	0	60	256	80	25	8	0%	1.1	31.2%	9.8%	21.5%	3.1%	3.28	3.41	+0.8
2024	29	MIX MLE	2 levels	66	0	69	285	65	18	8	0%	1.1	22.1%	6.1%	16.0%	2.7%	2.99	3.51	+0.9
2024	29	MIX MLE	2 levels	66	0	69	285	65	18	8	0%	1.1	22.1%	6.1%	16.0%	2.7%	2.99	3.51	+0.9
2024	29	MIX RAW	2 levels	66	0	69	285	65	18	8	0%	1.1	22.8%	6.3%	16.5%	2.8%	2.99	3.50	+0.9
2025	30	MLB MLE	Boston Red Sox	72	0	67	278	57	20	6	0%	0.9	20.5%	7.2%	13.3%	2.2%	2.82	3.49	+0.8
2025	30	MLB MLE	Boston Red Sox	72	0	67	278	57	20	6	0%	0.9	20.5%	7.2%	13.3%	2.2%	2.82	3.49	+0.8
2025	30	MLB RAW	Boston Red Sox	72	0	67	278	57	20	6	0%	0.9	20.5%	7.2%	13.3%	2.2%	2.82	3.46	+0.9
2026	31	MLB MLE	Boston Red Sox	63	0	61	255	60	18	8	0%	1.0	23.5%	7.1%	16.5%	3.2%	3.26	3.77	+0.6
2026	31	MLB MLE	Boston Red Sox	63	0	61	255	60	18	8	0%	1.0	23.5%	7.1%	16.5%	3.2%	3.26	3.77	+0.6
2026	31	MLB RAW	Boston Red Sox	63	0	61	255	60	18	8	0%	1.0	23.5%	7.1%	16.5%	3.1%	3.26	3.73	+0.6
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			226	0	222	931	208	67	25	0%	1.0	22.3%	7.2%	15.1%	2.7%	3.28	3.59	+2.5
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	32	MLB	BOS	50	0	52	220	47	15	6	0%	1.0	21.4%	7.0%	14.4%	2.9%	3.89	4.15	+0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	33	MLB MLE	BOS	34	0	36	150	31	11	5	0%	1.0	20.6%	7.5%	13.1%	3.2%	4.22	4.43	+0.0
2029	34	MLB MLE	BOS	22	0	23	98	19	8	3	0%	1.1	19.7%	8.0%	11.7%	3.5%	4.53	4.74	-0.1
2030	35	MLB MLE	BOS	13	0	14	58	11	5	2	0%	1.1	18.7%	8.5%	10.2%	3.8%	4.86	5.07	-0.1
2028	33	MLB CTX	BOS	32	0	34	144	30	11	5	0%	1.1	20.6%	7.5%	13.1%	3.2%	4.22	4.43	+0.0
2029	34	MLB CTX	BOS	20	0	21	89	17	7	3	0%	1.1	19.7%	8.0%	11.7%	3.5%	4.53	4.74	-0.0
2030	35	MLB CTX	BOS	11	0	12	51	9	4	2	0%	1.1	18.7%	8.5%	10.2%	3.8%	4.86	5.07	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		289	0	289	1212	264	89	35	0%	1.0	21.8%	7.3%	14.4%	2.8%	3.54	3.75	+2.7
/ 200 IP	—	RAW		200	0	200	839	183	62	24	0%	1.0	21.8%	7.3%	14.4%	2.8%	3.54	3.75	+1.9
Career	—	MLE		442	0	511	2149	522	215	49	0%	1.2	24.3%	10.0%	14.3%	2.3%	2.98	3.56	+2.4
/ 200 IP	—	MLE		173	0	200	842	204	84	19	0%	1.2	24.3%	10.0%	14.3%	2.3%	2.98	3.56	+1.6

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 · 6 IPFIP 4.06 → 4.58 (+0.52)K% 31.8% → 27.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.82%	—	×0.860	27.36%
BB% (unintentional) /BF	9.09%	—	×0.900	8.18%
HR / BF /BF	4.55%	÷0.996	×1.100	5.02%

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 4.06 → 4.58, 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 AAAScranton/Wilkes-Barre RailRiders · 40 IPFIP 3.10 → 3.51 (+0.41)K% 34.3% → 29.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.32%	—	×0.860	29.51%
BB% (unintentional) /BF	10.06%	—	×0.900	9.05%
HR / BF /BF	2.96%	÷1.017	×1.100	3.20%

Result: FIP 3.10 → 3.51, 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).

2022 AAAScranton/Wilkes-Barre RailRiders · 48 IPFIP 2.06 → 2.57 (+0.51)K% 36.8% → 32.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	36.84%	—	×0.880	32.42%
BB% (unintentional) /BF	9.47%	—	×1.050	9.95%
HR / BF /BF	1.58%	÷1.006	×1.100	1.73%

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 101).

Result: FIP 2.06 → 2.57, 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 · 37 IPFIP 3.44 → 3.77 (+0.33)K% 26.5% → 23.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.49%	—	×0.880	23.31%
BB% (unintentional) /BF	14.57%	—	×1.050	15.30%
HR / BF /BF	1.32%	÷1.149	×1.100	1.27%

Result: FIP 3.44 → 3.77, 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 AASomerset Patriots · 13 IPFIP 0.99 → 1.65 (+0.66)K% 35.7% → 28.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.71%	—	×0.810	28.93%
BB% (unintentional) /BF	7.14%	—	×1.100	7.86%
HR / BF /BF	0.00%	÷1.053	×1.200	0.00%

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 111).

Result: FIP 0.99 → 1.65, 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 A+Tampa Tarpons · 41 IPFIP 3.26 → 4.27 (+1.01)K% 26.5% → 20.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.49%	—	×0.770	20.39%
BB% (unintentional) /BF	11.89%	—	×1.150	13.68%
HR / BF /BF	1.62%	÷0.960	×1.250	2.11%

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 92).

Result: FIP 3.26 → 4.27, 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 AATrenton Thunder · 24 IPFIP 2.34 → 2.99 (+0.65)K% 29.8% → 24.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.79%	—	×0.810	24.13%
BB% (unintentional) /BF	13.83%	—	×1.100	15.21%
HR / BF /BF	0.00%	÷0.960	×1.200	0.00%

Result: FIP 2.34 → 2.99, 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).

2018 ACharleston RiverDogs · 34 IPFIP 2.67 → 4.47 (+1.79)K% 33.6% → 24.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.56%	—	×0.740	24.83%
BB% (unintentional) /BF	7.38%	—	×1.180	8.71%
HR / BF /BF	2.68%	÷0.811	×1.300	4.30%

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 62).

Result: FIP 2.67 → 4.47, 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
Greg Weissert (OGILVIE)	—	—	4.15	21.4%	7.0%	2.9%	—	4.65	19.9%	12.1%	72	+0.50	—	—	—
Jose Veras R 2013 · 3.51 FIP	32	SU	3.51	23.6%	8.3%	2.5%	.234	4.28	21.9%	10.2%	65	+0.77	3.37	422	83
Santiago Casilla R 2012 · 3.98 FIP	32	SU	3.98	20.2%	6.6%	3.2%	.246	3.23	21.6%	13.7%	166	-0.75	2.76	647	82
Dale Thayer R 2013 · 3.62 FIP	32	SU	3.62	23.7%	7.4%	2.9%	.287	3.85	20.6%	15.0%	103	+0.23	2.75	239	80
Jumbo Diaz R 2016 · 3.85 FIP	32	SU	3.85	22.3%	9.2%	2.7%	.247	3.28	23.0%	13.8%	141	-0.57	2.80	319	78
Jean Machi R 2014 · 3.33 FIP	32	SU	3.33	20.5%	6.0%	2.2%	.225	4.34	17.8%	10.6%	186	+1.01	2.16	306	78
Josh Fields R 2018 · 3.48 FIP	32	SU	3.48	21.4%	6.5%	2.5%	.224	7.56	18.9%	9.5%	25	+4.08	1.80	330	78
Kerry Ligtenberg R 2003 · 4.06 FIP	32	SU	4.06	19.0%	4.5%	3.6%	.283	3.65	18.6%	11.8%	55	-0.41	2.94	381	77
Jared Burton R 2013 · 3.20 FIP	32	SU	3.20	21.7%	6.0%	2.1%	.279	3.92	18.4%	10.0%	78	+0.72	3.09	367	77
Tony Barnette R 2016 · 3.05 FIP	32	SU	3.05	19.9%	6.1%	1.6%	.281	3.26	23.4%	17.0%	84	+0.21	2.61	144	77
Scot Shields R 2007 · 3.58 FIP	32	SU	3.58	24.1%	10.3%	2.2%	.271	4.26	20.3%	7.3%	127	+0.68	2.77	686	76
Jeff Fulchino R 2011 · 4.44 FIP	31	SU	4.44	20.4%	11.1%	3.0%	.302	—	—	—	—	—	3.36	178	76
Jared Hughes R 2017 · 3.28 FIP	32	SU	3.28	19.7%	7.8%	1.6%	.260	3.99	19.3%	10.9%	172	+0.71	3.00	530	76
Chris Hatcher R 2017 · 4.31 FIP	32	SU	4.31	24.5%	7.4%	4.3%	.291	5.32	18.0%	8.4%	36	+1.01	2.51	246	76
George Kontos R 2017 · 3.71 FIP	32	SU	3.71	25.2%	6.5%	3.5%	.287	4.41	14.7%	8.6%	97	+0.70	2.56	421	75
Mark Serrano R 2017 · 3.56 FIP	31	SU	3.56	21.9%	6.4%	2.7%	.240	5.25	20.2%	12.3%	42	+1.69	3.16	120	75
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	75
Brian Sanches R 2011 · 4.35 FIP	32	SU	4.35	19.6%	11.1%	2.7%	.250	—	—	—	—	—	3.39	229	74
Tyler Walker R 2008 · 3.98 FIP	32	SU	3.98	21.7%	8.0%	3.1%	.263	3.75	19.3%	14.6%	71	-0.23	2.38	289	74
James Hoyt R 2019 · 3.45 FIP	32	SU	3.45	22.2%	9.9%	1.8%	.355	5.63	22.1%	10.4%	50	+2.18	1.61	312	74
Arcenio Leon R 2019 · 3.61 FIP	32	SU	3.61	21.4%	8.1%	2.4%	.314	—	—	—	—	—	3.00	115	73

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	1.7	43	21.7%	7.8%	1.11	3.61
Jason Motte ('17)	2.0	50	23.0%	7.7%	1.11	3.30
Nick Wittgren ('23)	1.6	41	21.6%	7.0%	1.15	4.04
Ryan Tepera ('23)	1.8	52	24.3%	8.8%	1.13	3.62
Joe Hoerner ('63-'77, 8 WAR*)	2.8	51	23.2%*	7.9%*	1.21*	3.52*
Tony Castillo ('88-'98, 4 WAR*)	2.6	59	18.5%*	7.3%*	0.98*	3.76*
Tony Fossas ('88-'99, 2 WAR*)	2.1	42	21.9%*	9.3%*	0.99*	3.88*