Joey Lancellotti

Joey Lancellotti P Brooklyn Cyclones

Age 29 RHP 5'11" / 205 lbs A+

2027 FULL-SEASON PROJECTION0 act + 9 ip · rates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 121112vR 104

ERA4.60

FIP4.60

K%22.0%

BB%10.6%

K-BB%11.4%

ROS IP9

Value2026 · WAR

Runs saved vs league avg · 9 IP

Grades · Contract

Scouting Grades

K†5050

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 industry-standard fWAR.

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)
2022	24	ROK MLE	FCL Mets	6	0	6	23	8	3	1	0%	0.9	34.8%	13.0%	21.7%	4.3%	4.76	4.20	—
2022	24	ROK RAW	FCL Mets	6	0	6	23	8	3	1	0%	0.9	34.8%	13.0%	21.7%	4.3%	4.76	4.16	—
2023	25	MIX MLE	3 levels	31	1	49	235	55	31	6	3%	1.6	16.2%	18.7%	-2.4%	2.1%	4.74	5.24	—
2023	25	MIX RAW	3 levels	31	1	49	235	55	31	6	3%	1.6	23.4%	13.2%	10.2%	2.6%	4.74	4.34	—
2024	26	A+ MLE	Brooklyn Cyclones	14	0	15	71	11	10	1	0%	1.0	11.9%	16.2%	-4.3%	1.3%	6.14	4.86	—
2024	26	A+ MLE	Brooklyn Cyclones	14	0	15	71	11	10	1	0%	1.0	11.9%	16.2%	-4.3%	1.3%	6.14	4.86	—
2024	26	A+ RAW	Brooklyn Cyclones	14	0	15	71	11	10	1	0%	1.0	15.5%	14.1%	1.4%	1.4%	6.14	4.53	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	NYM	9	0	9	38	8	4	1	0%	1.0	22.0%	10.6%	11.4%	3.0%	4.60	4.60	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	NYM	19	0	20	84	18	9	3	0%	1.1	21.8%	10.8%	11.0%	3.2%	4.68	4.75	-0.0
2028	30	MLB CTX	NYM	6	0	6	25	6	3	1	0%	1.0	21.8%	10.8%	11.0%	3.2%	4.68	4.75	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	6	26	6	3	1	0%	1.0	21.8%	10.8%	11.0%	3.2%	4.68	4.37	+0.0
/ 200 IP	—	RAW		190	0	200	844	198	99	33	0%	1.1	21.8%	10.8%	11.0%	3.2%	4.68	4.37	+0.4
Career	—	MLE		51	1	70	329	55	58	7	2%	1.4	16.6%	17.7%	-1.1%	2.1%	5.04	5.08	-0.0
/ 200 IP	—	MLE		146	3	200	944	157	168	20	2%	1.4	16.6%	17.7%	-1.1%	2.1%	5.04	5.08	-0.5

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
Joey Lancellotti (OGILVIE)	—	—	4.60	22.0%	10.6%	3.0%	—	4.75	21.8%	11.0%	20	+0.15	—	—	—
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	85
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	84
Neil Wagner R 2013 · 4.02 FIP	29	SU	4.02	20.5%	7.5%	3.1%	.306	4.05	19.8%	7.5%	43	+0.03	3.11	135	84
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	83
Tyler Sturdevant R 2015 · 4.37 FIP	29	SU	4.37	21.3%	8.5%	3.6%	.241	3.97	18.5%	11.9%	118	-0.40	3.44	149	83
Jason Bulger R 2008 · 4.60 FIP	29	SU	4.60	27.4%	12.3%	4.1%	.293	3.94	25.1%	13.3%	90	-0.66	3.78	106	82
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	81
Gerardo Sanchez R 2017 · 3.47 FIP	28	SU	3.47	21.6%	8.4%	2.1%	.355	3.58	20.5%	15.1%	56	+0.11	2.65	137	80
Brian Sanches R 2008 · 4.74 FIP	29	SU	4.74	18.5%	9.3%	3.7%	.378	4.01	20.5%	10.8%	182	-0.73	3.39	229	80
Diego Moreno R 2016 · 3.75 FIP	29	SU	3.75	21.0%	8.2%	2.5%	.347	3.13	17.8%	11.9%	54	-0.62	2.29	187	80
Cody Hall R 2017 · 4.03 FIP	29	SU	4.03	26.8%	10.0%	3.5%	.299	3.92	25.9%	8.4%	19	-0.11	3.51	134	79
Coleman Huntley III R 2022 · 4.05 FIP	29	SU	4.05	24.4%	10.9%	3.0%	.311	2.38	20.9%	12.6%	25	-1.67	2.38	160	79
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	78
Marcos Mateo R 2011 · 3.40 FIP	27	SU	3.40	25.5%	10.2%	2.1%	.361	—	—	—	—	—	3.12	104	78
Brandon Cunniff R 2017 · 4.79 FIP	28	SU	4.79	20.1%	11.6%	3.5%	.275	6.80	13.9%	-1.9%	30	+2.01	3.89	180	78
Cole McDonald R 2024 · 5.01 FIP	27	SU	5.01	20.9%	12.7%	3.8%	.281	—	—	—	—	—	2.81	153	76
Tyler Walker R 2005 · 4.19 FIP	29	SU	4.19	19.4%	7.5%	3.2%	.303	3.61	19.7%	11.3%	93	-0.58	2.38	289	76
Andrew Robinson R 2017 · 4.32 FIP	29	SU	4.32	23.4%	8.8%	3.8%	.245	—	—	—	—	—	3.19	160	76
Joel Peralta R 2005 · 4.67 FIP	29	SU	4.67	20.7%	8.3%	4.1%	.227	4.27	18.0%	13.3%	214	-0.40	2.70	648	76
Thad Weber R 2013 · 5.18 FIP	28	SU	5.18	16.4%	13.1%	3.3%	.244	4.52	12.2%	6.0%	308	-0.66	4.40	378	76