Paulshawn Pasqualotto

P Wichita Wind Surge

Age 26 RHP 6'1" / 200 lbs AA peak 0.1 · 2027

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	AMIN	26	8	76	6.66	3.79	21.1%	8.1%	—	K 15.6% · BB 9.5% · FIP 4.84
2025	24	A+MIN	36	0	51	3.51	3.08	18.1%	7.9%	—	K 13.9% · BB 9.1% · FIP 3.73
2026	25	MIX3 levels	42	0	70	3.73	2.80	32.9%	9.0%	—	K 25.6% · BB 9.6% · FIP 3.80
2027PROJ	26	MLBMIN	1	0	1	4.77	4.77	19.7%	10.7%	-0.0
2028PROJ38% MLB	27	MLBMIN	19	0	20	4.75	4.77	20.1%	10.7%	-0.1
2029PROJ60% MLB	28	MLBMIN	27	0	28	4.78	4.82	20.2%	10.7%	-0.1

Next 3 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff35Control50Command35

Career WAR0.0 WAR median (P10 -0.2 / P90 1.0, comp-based) · star 0% · didn't stick 94%

CompsBrett McKinney (age 26) · D.J. Carrasco (age 26) · Cody Tucker (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 124116vR 108

ERA4.77

FIP4.77

K%19.7%

BB%10.7%

K-BB%9.0%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

STUF3535

CTRL5050

CMD3535

K†4550

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)
2024	23	A MLE	Fort Myers Mighty Mussels	26	8	76	360	76	29	9	31%	2.9	15.6%	9.5%	6.1%	3.4%	6.66	4.84	—
2024	23	A MLE	Fort Myers Mighty Mussels	26	8	76	360	76	29	9	31%	2.9	15.6%	9.5%	6.1%	3.4%	6.66	4.84	—
2024	23	A RAW	Fort Myers Mighty Mussels	26	8	76	360	76	29	9	31%	2.9	21.1%	8.1%	13.1%	2.5%	6.66	3.79	—
2025	24	A+ MLE	Cedar Rapids Kernels	36	0	51	216	39	17	2	0%	1.4	13.9%	9.1%	4.9%	1.2%	3.51	3.73	—
2025	24	A+ MLE	Cedar Rapids Kernels	36	0	51	216	39	17	2	0%	1.4	13.9%	9.1%	4.9%	1.2%	3.51	3.73	—
2025	24	A+ RAW	Cedar Rapids Kernels	36	0	51	216	39	17	2	0%	1.4	18.1%	7.9%	10.2%	0.9%	3.51	3.08	—
2026	25	MIX MLE	3 levels	42	0	70	289	95	26	7	0%	1.7	25.6%	9.6%	16.0%	3.0%	3.73	3.80	—
2026	25	MIX MLE	3 levels	42	0	70	289	95	26	7	0%	1.7	25.6%	9.6%	16.0%	3.0%	3.73	3.80	—
2026	25	MIX RAW	3 levels	42	0	70	289	95	26	7	0%	1.7	32.9%	9.0%	23.9%	2.4%	3.73	2.80	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	MIN	1	0	1	4	1	0	0	0%	1.0	19.7%	10.7%	9.0%	2.9%	4.77	4.77	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	MIN	51	0	54	228	46	24	7	0%	1.1	20.1%	10.7%	9.4%	3.0%	4.75	4.77	-0.1
2029	28	MLB MLE	MIN	44	0	47	197	40	21	6	0%	1.1	20.2%	10.7%	9.5%	3.1%	4.78	4.82	-0.1
2030	29	MLB MLE	MIN	40	0	42	177	36	19	6	0%	1.1	20.1%	10.8%	9.3%	3.2%	4.85	4.92	-0.2
2028	27	MLB CTX	MIN	19	0	20	84	17	9	3	0%	1.1	20.1%	10.7%	9.4%	3.0%	4.75	4.77	-0.1
2029	28	MLB CTX	MIN	27	0	28	118	24	13	4	0%	1.0	20.2%	10.7%	9.5%	3.1%	4.78	4.82	-0.1
2030	29	MLB CTX	MIN	29	0	30	127	25	14	4	0%	1.0	20.1%	10.8%	9.3%	3.2%	4.85	4.92	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		74	0	78	328	66	35	10	0%	1.1	20.1%	10.7%	9.4%	3.1%	4.80	4.46	+0.1
/ 200 IP	—	RAW		190	0	200	844	170	90	26	0%	1.1	20.1%	10.7%	9.4%	3.1%	4.80	4.46	+0.2
Career	—	MLE		104	8	197	865	160	82	23	8%	1.9	18.5%	9.4%	9.1%	2.7%	4.80	4.22	-0.5
/ 200 IP	—	MLE		106	8	200	878	163	83	24	8%	1.9	18.5%	9.4%	9.1%	2.7%	4.80	4.22	-0.7

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 AAWichita Wind Surge · 41 IPFIP 3.59 → 4.47 (+0.88)K% 27.6% → 22.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.59%	—	×0.810	22.34%
BB% (unintentional) /BF	9.77%	—	×1.100	10.75%
HR / BF /BF	2.87%	÷1.000	×1.200	3.45%

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 100).

Result: FIP 3.59 → 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).

2026 A+Cedar Rapids Kernels · 18 IPFIP 0.93 → 2.10 (+1.17)K% 44.1% → 34.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	44.12%	—	×0.770	33.97%
BB% (unintentional) /BF	5.88%	—	×1.150	6.76%
HR / BF /BF	1.47%	÷1.000	×1.250	1.84%

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 0.93 → 2.10, 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).

2026 AAASt. Paul Saints · 11 IPFIP 2.56 → 2.97 (+0.41)K% 36.2% → 31.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	36.17%	—	×0.860	31.11%
BB% (unintentional) /BF	10.64%	—	×0.900	9.57%
HR / BF /BF	2.13%	÷1.000	×1.100	2.34%

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 100).

Result: FIP 2.56 → 2.97, 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 A+Cedar Rapids Kernels · 51 IPFIP 3.08 → 3.73 (+0.65)K% 18.1% → 13.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.06%	—	×0.770	13.90%
BB% (unintentional) /BF	7.87%	—	×1.150	9.05%
HR / BF /BF	0.93%	÷0.962	×1.250	1.20%

Result: FIP 3.08 → 3.73, 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 AFort Myers Mighty Mussels · 76 IPFIP 3.71 → 4.84 (+1.13)K% 21.1% → 15.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.11%	—	×0.740	15.62%
BB% (unintentional) /BF	8.06%	—	×1.180	9.51%
HR / BF /BF	2.50%	÷0.962	×1.300	3.38%

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 92).

Result: FIP 3.71 → 4.84, 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
Paulshawn Pasqualotto (OGILVIE)	—	—	4.77	19.7%	10.7%	2.9%	—	4.83	20.1%	9.4%	143	+0.06	—	—	—
Brett McKinney R 2017 · 4.66 FIP	26	SU	4.66	18.5%	9.9%	3.4%	.287	—	—	—	—	—	3.43	183	88
D.J. Carrasco R 2003 · 4.27 FIP	26	SU	4.27	16.1%	10.1%	2.2%	.291	4.66	10.5%	1.4%	150	+0.39	3.23	490	88
Cody Tucker R 2024 · 4.97 FIP	25	SU	4.97	22.0%	12.0%	4.0%	.272	5.36	15.8%	-1.9%	40	+0.39	4.97	105	87
Jose Rafael De Paula R 2017 · 4.46 FIP	26	SU	4.46	19.9%	9.8%	3.3%	.278	4.79	22.7%	10.3%	89	+0.33	2.64	315	87
Emmanuel Chapman R 2024 · 4.08 FIP	25	SW	4.08	19.7%	10.6%	2.4%	.256	4.52	17.8%	1.3%	117	+0.44	3.81	198	87
David Goforth R 2015 · 3.98 FIP	26	SU	3.98	17.4%	9.8%	2.0%	.287	4.58	14.1%	3.6%	184	+0.60	3.98	256	86
R.J. Alaniz R 2017 · 3.91 FIP	26	SU	3.91	20.7%	8.9%	2.6%	.318	3.28	23.8%	15.0%	96	-0.63	2.45	362	86
Jarret Whorff R 2024 · 4.04 FIP	25	SU	4.04	18.9%	10.2%	2.3%	.271	4.52	19.6%	12.0%	123	+0.48	3.88	257	86
Colton Murray R 2016 · 3.97 FIP	26	SU	3.97	21.2%	9.4%	2.7%	.295	4.27	21.8%	13.1%	41	+0.30	3.34	187	86
Spencer Stockton R 2022 · 4.18 FIP	26	SU	4.18	20.2%	10.3%	2.7%	.276	5.45	18.9%	6.4%	63	+1.27	1.93	233	86
Troy Neiman R 2017 · 4.03 FIP	26	SU	4.03	18.1%	8.3%	2.5%	.282	—	—	—	—	—	4.03	199	86
Héctor Neris R 2015 · 4.00 FIP	26	SU	4.00	20.9%	10.0%	2.5%	.298	3.03	31.5%	23.7%	221	-0.97	2.03	682	86
Kyle Martin R 2017 · 4.41 FIP	26	SU	4.41	18.3%	10.0%	2.9%	.304	3.22	23.0%	10.0%	51	-1.19	3.01	214	85
Ricky Stone R 2002 · 4.16 FIP	27	SU	4.16	18.8%	9.3%	2.7%	.297	4.96	13.7%	7.4%	165	+0.80	4.16	243	85
Carlos Fisher R 2009 · 3.90 FIP	26	SU	3.90	21.2%	12.8%	1.8%	.317	3.80	18.2%	8.1%	46	-0.10	2.48	245	85
Jesus Pirela R 2015 · 3.84 FIP	26	SU	3.84	23.7%	11.6%	2.3%	.305	3.92	17.1%	13.9%	45	+0.08	3.24	161	85
Ronald Peña R 2018 · 4.19 FIP	26	SU	4.19	23.4%	11.6%	2.9%	.273	4.52	18.7%	7.1%	88	+0.33	3.72	187	85
Logan Bawcom R 2015 · 3.85 FIP	26	SU	3.85	15.8%	9.1%	1.7%	.320	4.35	15.9%	6.2%	259	+0.50	3.73	399	85
Evan Gates R 2024 · 3.93 FIP	26	SU	3.93	19.2%	10.2%	2.1%	.315	4.26	20.7%	10.2%	128	+0.33	3.65	300	84
Ryan Conroy R 2022 · 4.75 FIP	25	SU	4.75	19.3%	12.6%	3.1%	.361	—	—	—	—	—	4.01	106	84

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	1.1	53	20.0%	10.7%	1.17	4.78
Josias Manzanillo ('04)	1.7	57	20.0%	10.2%	1.21	4.71
Valerio De Los Santos ('08)	1.3	51	18.7%	11.5%	1.30	4.57
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*
Pedro Borbón ('03)	1.4	45	18.5%	11.1%	1.10	4.68
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*