Giussepe Velasquez

P Jersey Shore BlueClaws

Age 24 RHP 6'1" / 170 lbs A+

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	20	MIX2 levels	13	7	42	3.46	3.70	29.1%	11.6%	—	K 20.5% · BB 14.1% · FIP 5.26
2025	22	MIX2 levels	13	9	50	4.47	3.78	19.4%	8.1%	—	K 13.8% · BB 9.6% · FIP 4.71
2026	23	MIX3 levels	27	3	70	4.89	5.43	22.1%	11.2%	—	K 17.4% · BB 12.1% · FIP 6.02
2027PROJ	24	MLBPHI	—	—	0	5.30	5.30	17.7%	11.2%	—
2028PROJ43% MLB	25	MLBPHI	20	0	21	5.11	5.05	19.1%	10.4%	-0.1
2029PROJ66% MLB	26	MLBPHI	28	0	29	4.99	4.95	19.9%	10.3%	-0.1

Next 3 projected WAR -0.2Projected 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 100%

CompsBrad Deppermann (age 25) · Jeff Niemann (age 25) · Jeff Manship (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 134126vR 118

ERA5.30

FIP5.30

K%17.7%

BB%11.2%

K-BB%6.5%

Proj IP43

Value2027 · WAR

Runs saved vs league avg · 43 IP

Grades · Contract

Scouting Grades

K†4045

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)
2021	18	ROK MLE	DSL Phillies White	14	14	52	221	56	19	3	100%	3.7	17.2%	10.7%	6.5%	2.2%	2.75	4.21	—
2021	18	ROK RAW	DSL Phillies White	14	14	52	221	56	19	3	100%	3.7	25.3%	8.6%	16.7%	1.4%	2.75	2.79	—
2022	19	ROK MLE	FCL Phillies	9	0	11	50	10	6	2	0%	1.2	13.6%	15.0%	-1.4%	5.9%	9.82	7.10	—
2022	19	ROK RAW	FCL Phillies	9	0	11	50	10	6	2	0%	1.2	20.0%	12.0%	8.0%	4.0%	9.82	5.28	—
2023	20	MIX MLE	2 levels	13	7	42	172	50	20	5	54%	3.2	20.5%	14.1%	6.4%	3.9%	3.46	5.26	—
2023	20	MIX RAW	2 levels	13	7	42	172	50	20	5	54%	3.2	29.1%	11.6%	17.4%	2.9%	3.46	3.70	—
2025	22	MIX MLE	2 levels	13	9	50	211	41	17	5	69%	3.9	13.8%	9.6%	4.2%	2.8%	4.47	4.71	—
2025	22	MIX MLE	2 levels	13	9	50	211	41	17	5	69%	3.9	13.8%	9.6%	4.2%	2.8%	4.47	4.71	—
2025	22	MIX RAW	2 levels	13	9	50	211	41	17	5	69%	3.9	19.4%	8.1%	11.4%	2.4%	4.47	3.78	—
2026	23	MIX MLE	3 levels	27	3	70	303	67	34	15	11%	2.6	17.4%	12.1%	5.4%	5.2%	4.89	6.02	—
2026	23	MIX MLE	3 levels	27	3	70	303	67	34	15	11%	2.6	17.4%	12.1%	5.4%	5.2%	4.89	6.02	—
2026	23	MIX RAW	3 levels	27	3	70	303	67	34	15	11%	2.6	22.1%	11.2%	10.9%	5.0%	4.89	5.43	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	PHI	—	—	0	—	—	—	—	—	—	17.7%	11.2%	6.5%	3.5%	5.30	5.30	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	PHI	46	0	48	203	39	21	7	0%	1.0	19.1%	10.4%	8.7%	3.4%	5.11	5.05	-0.3
2029	26	MLB MLE	PHI	41	0	43	182	36	19	6	0%	1.1	19.9%	10.3%	9.7%	3.4%	4.99	4.95	-0.2
2028	25	MLB CTX	PHI	20	0	21	89	17	9	3	0%	1.1	19.1%	10.4%	8.7%	3.4%	5.11	5.05	-0.1
2029	26	MLB CTX	PHI	28	0	29	122	24	13	4	0%	1.0	19.9%	10.3%	9.7%	3.4%	4.99	4.95	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		47	0	49	208	41	21	7	0%	1.0	19.6%	10.3%	9.3%	3.4%	5.04	4.61	-0.0
/ 200 IP	—	RAW		190	0	200	844	166	85	28	0%	1.1	19.6%	10.3%	9.3%	3.4%	5.04	4.61	-0.1
Career	—	MLE		76	33	225	957	162	112	36	43%	3.0	16.9%	11.7%	5.2%	3.8%	4.27	5.24	-0.5
/ 200 IP	—	MLE		67	29	200	849	144	100	32	43%	3.0	16.9%	11.7%	5.2%	3.8%	4.27	5.24	-1.0

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+Jersey Shore BlueClaws · 50 IPFIP 5.43 → 6.72 (+1.30)K% 20.8% → 16.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.83%	—	×0.770	16.04%
BB% (unintentional) /BF	10.19%	—	×1.150	11.71%
HR / BF /BF	5.09%	÷1.000	×1.250	6.37%

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 5.43 → 6.72, 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).

2026 AClearwater Threshers · 17 IPFIP 2.81 → 3.93 (+1.12)K% 29.2% → 21.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.17%	—	×0.740	21.58%
BB% (unintentional) /BF	11.11%	—	×1.180	13.11%
HR / BF /BF	1.39%	÷1.000	×1.300	1.81%

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 100).

Result: FIP 2.81 → 3.93, 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).

2025 AClearwater Threshers · 34 IPFIP 5.03 → 5.94 (+0.91)K% 14.1% → 10.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	14.09%	—	×0.740	10.43%
BB% (unintentional) /BF	10.07%	—	×1.180	11.88%
HR / BF /BF	3.36%	÷1.083	×1.300	4.03%

Result: FIP 5.03 → 5.94, 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).

2025 ROKFCL Phillies · 17 IPFIP 0.78 → 1.76 (+0.97)K% 32.3% → 21.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.26%	—	×0.680	21.94%
BB% (unintentional) /BF	3.23%	—	×1.250	4.03%
HR / BF /BF	0.00%	÷0.917	×1.400	0.00%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 83).

Result: FIP 0.78 → 1.76, 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 AClearwater Threshers · 22 IPFIP 4.36 → 5.66 (+1.31)K% 23.4% → 17.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.40%	—	×0.740	17.32%
BB% (unintentional) /BF	11.70%	—	×1.180	13.81%
HR / BF /BF	3.19%	÷1.000	×1.300	4.15%

Result: FIP 4.36 → 5.66, 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 ROKFCL Phillies · 20 IPFIP 2.94 → 4.78 (+1.84)K% 35.9% → 24.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.90%	—	×0.680	24.41%
BB% (unintentional) /BF	11.54%	—	×1.250	14.42%
HR / BF /BF	2.56%	÷1.028	×1.400	3.49%

Result: FIP 2.94 → 4.78, 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 ROKFCL Phillies · 11 IPFIP 5.13 → 7.10 (+1.97)K% 20.0% → 13.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.00%	—	×0.680	13.60%
BB% (unintentional) /BF	12.00%	—	×1.250	15.00%
HR / BF /BF	4.00%	÷0.947	×1.400	5.92%

Result: FIP 5.13 → 7.10, 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 ROKDSL Phillies White · 52 IPFIP 2.79 → 4.21 (+1.42)K% 25.3% → 17.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.34%	—	×0.680	17.23%
BB% (unintentional) /BF	8.60%	—	×1.250	10.75%
HR / BF /BF	1.36%	÷0.864	×1.400	2.20%

Result: FIP 2.79 → 4.21, 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
Giussepe Velasquez (OGILVIE)	—	—	5.30	17.7%	11.2%	3.5%	—	5.00	19.5%	9.2%	91	-0.30	—	—	—
Brad Deppermann R 2021 · 4.51 FIP	25	SW	4.51	17.1%	9.6%	3.0%	.289	3.52	20.0%	7.8%	45	-0.99	1.94	143	89
Jeff Niemann R 2008 · 5.04 FIP	25	SW	5.04	18.4%	10.5%	4.0%	.294	4.16	17.4%	10.3%	490	-0.88	2.96	544	87
Jeff Manship R 2009 · 4.69 FIP	24	SW	4.69	14.4%	10.3%	2.7%	.330	4.23	14.9%	9.5%	51	-0.46	2.83	250	84
Tyler Yates R 2004 · 4.47 FIP	26	SW	4.47	15.4%	9.6%	2.6%	.333	3.64	22.5%	13.5%	116	-0.83	3.23	248	84
Paulshawn Pasqualotto R 2024 · 4.84 FIP	23	SW	4.84	15.6%	9.5%	3.4%	.354	3.77	20.2%	10.8%	111	-1.07	3.73	186	84
Danny Kirwin R 2024 · 4.19 FIP	24	SW	4.19	17.9%	9.9%	2.4%	.262	5.33	16.8%	4.6%	91	+1.14	4.16	161	83
Dakota Hawkins R 2024 · 4.31 FIP	24	SW	4.31	16.3%	8.9%	2.7%	.277	4.32	19.4%	10.4%	102	+0.01	3.50	186	83
Nick Hull R 2024 · 4.62 FIP	24	SW	4.62	19.0%	12.2%	2.9%	.296	5.00	16.8%	6.2%	111	+0.38	4.26	292	83
Grant Ford R 2021 · 5.78 FIP	23	SW	5.78	20.1%	13.2%	4.9%	.300	4.61	19.0%	4.5%	112	-1.17	3.83	188	82
Sergio Mitre R 2005 · 5.18 FIP	24	SW	5.18	13.8%	7.8%	4.1%	.256	3.84	13.0%	6.6%	190	-1.34	3.55	602	80
Yaisel Sierra R 2016 · 4.32 FIP	25	SW	4.32	16.9%	8.6%	2.8%	.338	3.04	22.4%	12.3%	71	-1.28	3.04	176	80
Tanner Burns R 2023 · 5.27 FIP	24	SW	5.27	19.4%	12.5%	4.0%	.257	4.95	18.3%	5.2%	131	-0.32	4.34	382	80
Cullen Kafka R 2023 · 4.95 FIP	24	SW	4.95	14.2%	12.1%	2.8%	.330	—	—	—	—	—	3.64	148	80
Chad Bettis R 2013 · 4.38 FIP	24	SP-	4.38	14.4%	8.7%	2.6%	.318	3.81	17.4%	10.4%	365	-0.57	3.67	672	80
Peyton Pallette R 2024 · 4.38 FIP	23	SW	4.38	20.7%	10.9%	3.0%	.309	3.59	25.9%	13.5%	119	-0.79	3.54	273	79
Tristan Stevens R 2023 · 4.14 FIP	25	SW	4.14	17.3%	8.2%	2.7%	.411	3.68	15.0%	7.7%	91	-0.46	3.68	126	79
Orlando Ortiz-Mayr R 2022 · 4.61 FIP	24	SU	4.61	21.0%	13.2%	2.9%	.341	4.74	15.7%	4.0%	343	+0.13	3.65	492	79
Scott Burke R 2018 · 4.55 FIP	24	SW	4.55	14.2%	7.7%	3.0%	.316	5.27	14.9%	6.7%	61	+0.72	4.55	119	79
Jimmy Kingsbury R 2023 · 5.11 FIP	24	SW	5.11	18.2%	9.9%	4.2%	.304	3.67	18.0%	9.9%	189	-1.44	3.51	330	79
Hunter Adkins R 2016 · 4.64 FIP	25	SW	4.64	16.2%	10.3%	2.9%	.290	4.82	11.8%	0.5%	58	+0.18	4.64	160	79

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	0.7	45	18.9%	10.6%	1.32	5.13
Valerio De Los Santos ('08)	1.3	51	18.7%	11.5%	1.30	4.57
Sam Long ('25)	1.1	42	19.5%	9.7%	1.28	4.65
Drew VerHagen ('23)	1.4	47	19.1%	9.4%	1.37	4.98
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*