Daichi Moriki

P Lake Elsinore Storm

Age 24 RHP 6'0" / 209 lbs A

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	23	ASD	30	31	7.63	6.20	11.4%	24.1%	—	K 8.5% · BB 28.4% · FIP 6.42
2027PROJ	24	MLBSD	17	18	6.30	6.30	14.9%	20.0%	-0.3
2028PROJ43% MLB	25	MLBSD	11	12	5.88	5.73	17.1%	16.9%	-0.2

Next 2 projected WAR -0.5Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 100%

CompsJack Hartman (age 24) · Roman Phansalkar (age 24) · Kelvin Vasquez (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 153145vR 137

ERA6.30

FIP6.30

K%14.9%

BB%20.0%

K-BB%-5.1%

Proj IP18

Value2027 · WAR

Runs saved vs league avg · 18 IP

Grades · Contract

Scouting Grades

K†3040

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)
2026	23	A MLE	Lake Elsinore Storm	30	0	31	166	19	40	1	0%	1.0	8.5%	28.4%	-20.0%	0.8%	7.63	6.42	—
2026	23	A MLE	Lake Elsinore Storm	30	0	31	166	19	40	1	0%	1.0	8.5%	28.4%	-20.0%	0.8%	7.63	6.42	—
2026	23	A RAW	Lake Elsinore Storm	30	0	31	166	19	40	1	0%	1.0	11.4%	24.1%	-12.7%	0.6%	7.63	6.20	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	SD	17	0	18	76	11	15	2	0%	1.1	14.9%	20.0%	-5.1%	2.8%	6.30	6.30	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	SD	27	0	28	118	20	20	3	0%	1.0	17.1%	16.9%	0.2%	2.8%	5.88	5.73	-0.4
2028	25	MLB CTX	SD	11	0	12	51	9	9	1	0%	1.1	17.1%	16.9%	0.2%	2.8%	5.88	5.73	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		11	0	12	50	9	9	1	0%	1.1	17.1%	16.9%	0.2%	2.8%	5.88	5.34	-0.1
/ 200 IP	—	RAW		190	0	200	844	151	151	17	0%	1.1	17.1%	16.9%	0.2%	2.8%	5.88	5.34	-1.9
Career	—	MLE		30	0	31	166	14	47	1	0%	1.0	8.5%	28.4%	-20.0%	0.8%	7.63	6.42	-0.4
/ 200 IP	—	MLE		196	0	200	1083	92	308	8	0%	1.0	8.5%	28.4%	-20.0%	0.8%	7.63	6.42	-2.7

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
Daichi Moriki (OGILVIE)	—	—	6.30	14.9%	20.0%	2.8%	—	5.73	17.1%	0.2%	28	-0.57	—	—	—
Jack Hartman R 2022 · 5.78 FIP	24	SU	5.78	15.1%	20.3%	2.5%	.357	3.99	19.5%	8.6%	143	-1.79	3.46	161	90
Roman Phansalkar R 2022 · 6.38 FIP	24	SU	6.38	13.5%	18.4%	3.8%	.245	4.77	17.4%	4.0%	147	-1.61	4.33	164	89
Kelvin Vasquez R 2017 · 6.26 FIP	24	SU	6.26	15.0%	23.2%	2.7%	.247	5.06	14.5%	-0.2%	48	-1.20	5.01	180	88
Jake Gozzo R 2021 · 7.10 FIP	24	SU	7.10	14.3%	30.2%	2.5%	.200	5.35	15.8%	-0.7%	129	-1.75	4.32	162	86
Noah Takacs R 2024 · 5.77 FIP	22	SU	5.77	12.5%	16.4%	3.0%	.301	5.68	13.4%	-2.3%	91	-0.09	5.25	130	85
Jairo Beras R 2019 · 5.47 FIP	24	SU	5.47	15.0%	20.3%	1.9%	.310	—	—	—	—	—	3.48	110	85
Michael Blazek R 2013 · 5.52 FIP	24	SU	5.52	16.7%	15.5%	3.4%	.241	3.81	19.8%	10.3%	97	-1.71	2.99	238	84
Christian Ruebeck R 2024 · 6.03 FIP	23	SU	6.03	20.6%	24.4%	2.9%	.265	4.57	21.6%	1.9%	70	-1.46	4.35	104	83
Jeff Soptic R 2015 · 5.30 FIP	24	SU	5.30	15.5%	17.2%	2.5%	.237	5.52	13.6%	-1.7%	68	+0.22	5.30	124	82
Darvin Garcia R 2023 · 5.89 FIP	24	SU	5.89	13.4%	19.6%	2.6%	.277	4.94	15.5%	-3.1%	80	-0.95	2.97	212	81
Chad Harville R 2003 · 5.17 FIP	26	SU	5.17	17.3%	15.4%	2.9%	.328	4.84	17.6%	6.5%	142	-0.33	4.51	178	81
Tyler Baum R 2022 · 7.18 FIP	24	SU	7.18	13.5%	34.1%	1.6%	.390	4.41	22.3%	9.6%	140	-2.77	3.38	177	81
Leandro Linares R 2018 · 5.49 FIP	24	SU	5.49	16.2%	22.0%	1.8%	.353	—	—	—	—	—	1.93	134	81
Cody Scroggins R 2021 · 5.35 FIP	24	SU	5.35	17.4%	15.1%	3.3%	.263	4.28	18.6%	4.4%	59	-1.07	3.78	108	80
Jonathan Teaney R 2019 · 5.65 FIP	23	SU	5.65	16.4%	15.7%	3.5%	.301	—	—	—	—	—	4.77	108	80
Abel Brito R 2024 · 6.24 FIP	23	SU	6.24	14.0%	23.6%	2.4%	.301	—	—	—	—	—	4.13	147	80
Jacob Morris R 2015 · 5.43 FIP	24	SU	5.43	18.0%	19.6%	2.5%	.218	4.77	18.7%	-2.4%	46	-0.66	4.77	102	80
Hudson Leach R 2024 · 5.37 FIP	22	SU	5.37	20.5%	20.0%	2.7%	.261	4.54	20.9%	3.1%	71	-0.83	2.77	101	80
Brett Lockwood R 2021 · 5.46 FIP	24	SU	5.46	16.2%	15.5%	3.2%	.312	4.58	11.0%	-6.3%	79	-0.88	4.24	132	80
Chay Yeager R 2024 · 5.60 FIP	21	SU	5.60	13.1%	15.7%	2.9%	.261	4.20	22.8%	12.5%	56	-1.40	4.20	110	79