Player 842591 prospect projection, MLE, ETA

Player 842591 P DSL Mets Blue

Age — —HP ROK

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 6 proj IP

wRC+ AGAINST112

ERA4.60

FIP4.60

K%23.0%

BB%11.2%

K-BB%11.8%

ROS IP7

Value2026 · WAR

Runs saved vs league avg · 6 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 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
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
▸ 2026 season
YTD	—	ROK MLE	DSL Mets Blue	8	0	10	48	8	9	0	0%	1.2	11.3%	23.4%	-12.1%	0.0%	6.52	5.11	—
YTD	—	ROK MLE	DSL Mets Blue	8	0	10	48	8	9	0	0%	1.2	11.3%	23.4%	-12.1%	0.0%	6.52	5.11	—
▸ 2026 season — so far · projected rest · full
2026	—	ROK RAW	NYM	8	0	10	48	8	9	0	0%	1.2	16.7%	18.8%	-2.1%	0.0%	6.52	4.07	—
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	25	MLB MLE	NYM	19	0	20	84	20	9	3	0%	1.1	23.4%	10.5%	13.0%	3.0%	4.51	4.46	+0.0
2027	25	MLB CTX	NYM	—	—	0	—	—	—	—	—	—	23.4%	10.5%	13.0%	3.0%	4.51	4.46	—
▸ Career totals — MLB only (actual + projected)
Career	—	MLE		8	0	10	48	5	11	0	0%	1.2	11.3%	23.4%	-12.1%	0.0%	6.52	5.11	+0.0
/ 200 IP	—	MLE		166	0	200	993	113	233	0	0%	1.2	11.3%	23.4%	-12.1%	0.0%	6.52	5.11	+0.2

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
Player 842591 (OGILVIE)	—	—	4.60	23.0%	11.2%	3.0%	—	—	—	—	—	—	—	—	—
Ricardo Velez R 2023 · 4.44 FIP	24	SU	4.44	22.4%	10.9%	3.4%	.261	4.09	18.8%	8.1%	138	-0.35	3.83	166	90
Josh Zeid R 2013 · 4.00 FIP	26	SU	4.00	20.3%	9.3%	2.6%	.287	4.75	16.2%	4.8%	183	+0.75	4.00	313	87
Michael Wuertz R 2004 · 4.46 FIP	25	SU	4.46	24.2%	12.9%	3.2%	.243	3.39	26.1%	16.6%	189	-1.07	2.27	414	87
Grant Balfour R 2003 · 4.13 FIP	25	SU	4.13	26.1%	10.4%	3.5%	.275	3.79	24.4%	12.8%	39	-0.34	2.04	533	86
Shawn Tolleson R 2012 · 3.86 FIP	24	SU	3.86	24.4%	11.9%	2.4%	.265	3.47	24.4%	18.5%	144	-0.39	3.05	218	86
Brad Boxberger R 2013 · 4.40 FIP	25	SU	4.40	25.5%	13.8%	3.1%	.296	3.54	32.3%	22.2%	152	-0.86	2.63	478	86
Brandon Cunniff R 2015 · 4.28 FIP	26	SU	4.28	24.5%	13.2%	2.9%	.256	4.32	20.3%	9.0%	115	+0.04	3.89	180	85
Jason Stoffel R 2015 · 3.61 FIP	26	SU	3.61	23.4%	10.1%	2.2%	.267	3.49	27.2%	19.2%	59	-0.12	3.49	103	85
Chris Jefferson R 2022 · 3.53 FIP	25	SU	3.53	22.4%	10.2%	1.9%	.330	4.99	16.5%	3.9%	101	+1.46	3.53	140	85
Chaz Roe R 2013 · 4.02 FIP	26	SU	4.02	25.3%	10.5%	3.1%	.259	2.81	24.6%	16.2%	133	-1.21	1.72	279	85
Fernando Salas R 2010 · 4.27 FIP	25	SU	4.27	21.8%	9.8%	3.2%	.276	3.29	23.5%	16.8%	162	-0.98	2.60	539	84
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	84
Jonathan Brand R 2023 · 3.95 FIP	23	SU	3.95	22.7%	10.8%	2.5%	.236	4.79	19.7%	9.4%	160	+0.84	3.34	198	84
Francisco Del Rosario R 2006 · 5.13 FIP	25	SU	5.13	19.4%	13.0%	3.7%	.290	3.93	19.7%	10.3%	26	-1.20	3.93	194	84
Harrison Cohen R 2023 · 4.56 FIP	24	SU	4.56	22.4%	13.4%	3.0%	.282	4.18	22.3%	9.0%	119	-0.38	2.12	165	84
Dan Kolb R 2001 · 4.49 FIP	26	SU	4.49	21.4%	12.9%	2.9%	.295	3.61	14.3%	5.5%	131	-0.88	3.00	283	83
Garrett Mock R 2008 · 3.57 FIP	25	SU	3.57	25.6%	11.1%	2.2%	.300	4.06	17.1%	7.4%	91	+0.49	3.57	132	83
Blake Goldsberry R 2022 · 3.43 FIP	25	SU	3.43	23.6%	8.3%	2.3%	.257	5.26	23.6%	12.0%	44	+1.83	3.43	117	83
Guillermo Moscoso R 2009 · 3.56 FIP	25	SU	3.56	18.8%	9.4%	1.6%	.311	4.33	15.8%	8.5%	178	+0.77	3.56	486	83
Austin Smith R 2022 · 3.88 FIP	23	SU	3.88	22.7%	10.0%	2.6%	.274	5.15	16.3%	0.7%	52	+1.27	3.88	148	83