Nick Raquet

P Norfolk Tides

Age 31 LHP 6'0" / 215 lbs AAA peak 0.2 · 2027

Overview

AAARPROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	28	MIX2 levels	35	6	84	4.80	4.07	19.4%	9.8%	—	K 16.5% · BB 9.2% · FIP 4.29
2025	29	MIX3 levels	41	0	54	2.15	2.53	27.2%	5.8%	1.3	K 22.9% · BB 5.5% · FIP 3.15
2026	30	MIX2 levels	39	0	48	3.97	2.72	25.1%	7.4%	1.0	K 23.1% · BB 6.3% · FIP 2.59
2027PROJ	31	MLBBAL	18	0	19	3.90	3.90	22.1%	6.9%	0.1
2028PROJ76% MLB	32	MLBBAL	17	0	18	4.08	4.17	21.8%	7.5%	0.1

Last 3 seasons WAR 2.4 · Next 2 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 98%

CompsRaul Valdes (age 32) · Jeremy Bleich (age 31) · Andrew Barbosa (age 29)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 9199vR 107

ERA3.90

FIP3.90

K%22.1%

BB%6.9%

K-BB%15.2%

Proj IP28

Value2027 · WAR

Runs saved vs league avg · 28 IP

Grades · Contract

Scouting Grades

K†5555

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)
2017	21	ROK MLE	GCL Nationals	1	1	2	8	2	0	0	100%	2.0	25.0%	0.0%	25.0%	0.0%	0.00	0.99	—
2017	21	ROK RAW	GCL Nationals	1	1	2	8	2	0	0	100%	2.0	25.0%	0.0%	25.0%	0.0%	0.00	1.10	—
2018	22	MIX MLE	2 levels	24	24	123	533	92	39	4	100%	5.1	13.0%	8.5%	4.5%	0.9%	3.74	3.58	—
2018	22	MIX RAW	2 levels	24	24	123	533	92	39	4	100%	5.1	17.3%	7.3%	9.9%	0.8%	3.74	2.98	—
2019	23	A+ MLE	Potomac Nationals	25	25	130	558	122	43	12	100%	5.2	16.8%	8.9%	8.0%	2.7%	4.07	4.29	—
2019	23	A+ RAW	Potomac Nationals	25	25	130	558	122	43	12	100%	5.2	21.9%	7.7%	14.2%	2.2%	4.07	3.41	—
2024	28	MIX MLE	2 levels	35	6	84	376	73	37	9	17%	2.4	16.5%	9.2%	7.3%	2.6%	4.80	4.29	—
2024	28	MIX MLE	2 levels	35	6	84	376	73	37	9	17%	2.4	16.5%	9.2%	7.3%	2.6%	4.80	4.29	—
2024	28	MIX RAW	2 levels	35	6	84	376	73	37	9	17%	2.4	19.4%	9.8%	9.6%	2.4%	4.80	4.07	—
2025	29	MIX MLE	3 levels	41	0	54	224	61	13	4	0%	1.3	22.9%	5.5%	17.4%	2.3%	2.15	3.15	+0.9
2025	29	MIX MLE	3 levels	41	0	54	224	61	13	4	0%	1.3	22.9%	5.5%	17.4%	2.3%	2.15	3.15	+0.9
2025	29	MIX RAW	3 levels	41	0	54	224	61	13	4	0%	1.3	27.2%	5.8%	21.4%	1.8%	2.15	2.53	+1.3
2026	30	MIX MLE	2 levels	39	0	48	203	51	15	3	0%	1.2	23.1%	6.3%	16.8%	1.2%	3.97	2.59	+1.1
2026	30	MIX MLE	2 levels	39	0	48	203	51	15	3	0%	1.2	23.1%	6.3%	16.8%	1.2%	3.97	2.59	+1.1
2026	30	MIX RAW	2 levels	39	0	48	203	51	15	3	0%	1.2	25.1%	7.4%	17.7%	1.5%	3.97	2.72	+1.0
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			6	0	6	24	2	3	1	0%	0.9	8.3%	12.5%	-4.2%	4.2%	4.76	6.28	-0.1
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	31	MLB	BAL	18	0	19	80	18	6	2	0%	1.1	22.1%	6.9%	15.2%	2.6%	3.90	3.90	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	32	MLB MLE	BAL	23	0	24	101	22	8	3	0%	1.0	21.8%	7.5%	14.2%	2.9%	4.08	4.17	+0.1
2028	32	MLB CTX	BAL	17	0	18	76	17	6	2	0%	1.1	21.8%	7.5%	14.2%	2.9%	4.08	4.17	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		23	0	24	101	19	9	3	0%	1.0	18.6%	8.7%	9.9%	3.2%	4.24	4.38	+0.0
/ 200 IP	—	RAW		196	0	200	845	159	76	25	0%	1.0	18.6%	8.7%	9.9%	3.2%	4.24	4.38	+0.4
Career	—	MLE		165	56	441	1902	325	155	37	34%	2.7	17.1%	8.1%	9.0%	2.0%	3.85	3.76	-0.0
/ 200 IP	—	MLE		75	25	200	862	147	70	17	34%	2.7	17.1%	8.1%	9.0%	2.0%	3.85	3.76	-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 AAANorfolk Tides · 44 IPFIP 2.31 → 2.59 (+0.29)K% 26.9% → 23.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.88%	—	×0.860	23.12%
BB% (unintentional) /BF	6.99%	—	×0.900	6.29%
HR / BF /BF	1.08%	÷1.000	×1.100	1.18%

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 2.31 → 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).

2025 AASpringfield Cardinals · 35 IPFIP 1.38 → 1.86 (+0.48)K% 26.8% → 21.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.76%	—	×0.810	21.68%
BB% (unintentional) /BF	4.23%	—	×1.100	4.65%
HR / BF /BF	0.00%	÷1.105	×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 121).

Result: FIP 1.38 → 1.86, 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 AAAMemphis Redbirds · 17 IPFIP 4.56 → 5.59 (+1.03)K% 29.3% → 25.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.33%	—	×0.860	25.23%
BB% (unintentional) /BF	8.00%	—	×0.900	7.20%
HR / BF /BF	5.33%	÷0.869	×1.100	6.75%

Result: FIP 4.56 → 5.59, 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).

2024 AAAMemphis Redbirds · 68 IPFIP 4.32 → 4.54 (+0.22)K% 18.4% → 15.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.41%	—	×0.860	15.83%
BB% (unintentional) /BF	9.52%	—	×0.900	8.57%
HR / BF /BF	2.86%	÷1.020	×1.100	3.08%

Result: FIP 4.32 → 4.54, 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).

2024 AASpringfield Cardinals · 16 IPFIP 2.48 → 3.02 (+0.54)K% 24.6% → 19.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.59%	—	×0.810	19.92%
BB% (unintentional) /BF	11.48%	—	×1.100	12.62%
HR / BF /BF	0.00%	÷1.386	×1.200	0.00%

Result: FIP 2.48 → 3.02, 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+Potomac Nationals · 130 IPFIP 3.41 → 4.29 (+0.88)K% 21.9% → 16.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.86%	—	×0.770	16.84%
BB% (unintentional) /BF	7.71%	—	×1.150	8.86%
HR / BF /BF	2.15%	÷0.988	×1.250	2.72%

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 98).

Result: FIP 3.41 → 4.29, 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 AHagerstown Suns · 68 IPFIP 2.43 → 3.04 (+0.62)K% 19.9% → 14.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.86%	—	×0.740	14.70%
BB% (unintentional) /BF	6.38%	—	×1.180	7.53%
HR / BF /BF	0.35%	÷1.108	×1.300	0.42%

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 122).

Result: FIP 2.43 → 3.04, 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 A+Potomac Nationals · 55 IPFIP 3.60 → 4.19 (+0.59)K% 14.3% → 11.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	14.34%	—	×0.770	11.04%
BB% (unintentional) /BF	8.37%	—	×1.150	9.62%
HR / BF /BF	1.20%	÷1.017	×1.250	1.47%

Result: FIP 3.60 → 4.19, 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
Nick Raquet (OGILVIE)	—	—	3.90	22.1%	6.9%	2.6%	—	4.17	21.8%	14.2%	24	+0.27	—	—	—
Raul Valdes L 2010 · 4.02 FIP	32	SU	4.02	21.4%	9.9%	2.7%	.301	3.14	27.4%	22.5%	78	-0.88	2.29	160	66
Jeremy Bleich L 2018 · 3.69 FIP	31	SU	3.69	20.3%	6.6%	2.7%	.296	4.41	20.1%	13.1%	33	+0.72	3.20	241	65
Andrew Barbosa L 2017 · 4.67 FIP	29	SU	4.67	20.2%	9.6%	3.8%	.301	—	—	—	—	—	2.70	175	65
Colt Hynes L 2016 · 3.55 FIP	31	SU	3.55	22.3%	4.8%	3.1%	.353	3.75	14.1%	9.5%	56	+0.20	3.42	169	63
Nick Hagadone L 2017 · 3.74 FIP	31	SU	3.74	22.6%	9.3%	2.5%	.267	—	—	—	—	—	2.97	141	62
Cory Luebke L 2016 · 3.88 FIP	31	SU	3.88	26.4%	9.1%	3.4%	.354	—	—	—	—	—	2.80	216	61
Zach Phillips L 2017 · 2.85 FIP	30	SU	2.85	19.2%	8.6%	0.5%	.301	3.67	19.1%	10.6%	36	+0.82	2.33	202	60
Heriberto Ruelas L 2015 · 2.95 FIP	33	SU	2.95	19.1%	7.3%	1.0%	.352	3.57	16.2%	8.5%	89	+0.62	2.95	117	60
Edward Paredes L 2018 · 3.81 FIP	31	SU	3.81	22.7%	11.9%	2.0%	.351	5.10	21.5%	14.2%	18	+1.29	2.36	130	60
Luke Westphal L 2021 · 4.70 FIP	32	SP-	4.70	22.7%	13.1%	3.4%	.321	4.58	21.9%	7.6%	95	-0.12	2.97	294	59
Alejandro Soto L 2017 · 4.36 FIP	31	SW	4.36	13.8%	3.3%	3.7%	.323	4.03	17.1%	10.2%	61	-0.33	3.96	280	59
Hideki Okajima L 2007 · 3.05 FIP	31	SU	3.05	23.2%	5.5%	2.2%	.234	3.87	20.2%	12.6%	169	+0.82	3.05	238	59
Jorge Ibarra L 2017 · 3.09 FIP	29	SU	3.09	19.3%	6.5%	1.4%	.351	—	—	—	—	—	2.55	146	59
Brian Moran L 2019 · 3.40 FIP	30	SU	3.40	26.9%	10.0%	2.4%	.269	2.99	25.5%	18.5%	99	-0.41	1.80	421	59
Ryan Verdugo L 2017 · 3.36 FIP	30	SP-	3.36	22.7%	5.4%	2.7%	.333	—	—	—	—	—	3.36	153	58
Adam Liberatore L 2018 · 4.28 FIP	31	SU	4.28	18.6%	9.1%	2.9%	.354	—	—	—	—	—	2.38	124	58
Yuki Matsui L 2024 · 3.63 FIP	28	SU	3.63	26.8%	8.9%	3.0%	.242	4.25	23.9%	12.6%	140	+0.62	3.63	203	58
Randy Flores L 2006 · 4.00 FIP	31	SU	4.00	20.4%	9.7%	2.5%	.333	3.30	18.1%	10.5%	93	-0.70	2.51	250	58
Jared Koenig L 2024 · 2.79 FIP	30	SU	2.79	23.8%	7.2%	1.4%	.279	2.99	23.6%	15.9%	86	+0.20	2.79	475	58
George Sherrill L 2008 · 3.86 FIP	31	SU	3.86	24.3%	11.3%	2.5%	.277	3.38	20.6%	12.4%	141	-0.48	2.74	323	56

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	0.3	29	20.6%	7.7%	1.10	4.06
Tyler Walker ('10)	1.5	50	18.9%	8.5%	1.11	4.23
Blaine Hardy ('21)	1.5	48	18.5%	8.3%	0.99	3.78
Ian Krol ('21)	1.0	42	21.2%	8.8%	1.25	4.49
Dave Baldwin ('66-'73, 2 WAR*)	1.1	56	22.2%*	9.2%*	0.96*	3.97*
Ed Vosberg ('86-'02, 1 WAR*)	1.2	47	21.0%*	9.6%*	0.86*	4.06*
Kevin Hickey ('81-'91, 0 WAR*)	1.2	47	17.7%*	10.2%*	1.10*	4.27*