Victor Fransua prospect projection, MLE, ETA

Victor Fransua P DSL Tampa Bay

Age 25 RHP 6'1" / 180 lbs ROK

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 17 proj IP

wRC+ AGAINSTvL 122114vR 106

ERA4.68

FIP4.68

K%22.9%

BB%11.8%

K-BB%11.1%

ROS IP17

Value2026 · WAR

Runs saved vs league avg · 17 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
▸ 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 + 2026 so far)
2021	20	ROK MLE	DSL Rays 2	13	0	26	100	26	16	0	0%	2.0	17.7%	20.0%	-2.3%	0.0%	2.10	4.14	—
2021	20	ROK RAW	DSL Rays 2	13	0	26	100	26	16	0	0%	2.0	26.0%	16.0%	10.0%	0.0%	2.10	2.94	—
2022	21	ROK MLE	DSL Tampa Bay	16	0	27	120	32	19	0	0%	1.7	18.1%	19.8%	-1.7%	0.0%	3.62	4.08	—
2022	21	ROK RAW	DSL Tampa Bay	16	0	27	120	32	19	0	0%	1.7	26.7%	15.8%	10.8%	0.0%	3.62	2.84	—
2023	22	ROK MLE	DSL Tampa Bay	18	0	29	128	31	18	0	0%	1.6	16.5%	17.6%	-1.1%	0.0%	2.48	3.94	—
2023	22	ROK MLE	DSL Tampa Bay	18	0	29	128	31	18	0	0%	1.6	16.5%	17.6%	-1.1%	0.0%	2.48	3.94	—
2023	22	ROK RAW	DSL Tampa Bay	18	0	29	128	31	18	0	0%	1.6	24.2%	14.1%	10.2%	0.0%	2.48	2.82	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	25	MLB	—	—	—	0	—	—	—	—	—	—	22.9%	11.8%	11.1%	3.0%	4.68	4.68	—
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	26	MLB MLE	—	19	0	20	84	20	10	3	0%	1.1	23.1%	11.5%	11.6%	3.0%	4.63	4.62	-0.0
2027	26	MLB CTX	—	9	0	9	38	9	4	1	0%	1.0	23.1%	11.5%	11.6%	3.0%	4.63	4.62	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		8	0	9	36	8	4	1	0%	1.1	23.1%	11.5%	11.6%	3.0%	4.63	4.24	+0.0
/ 200 IP	—	RAW		190	0	200	844	187	94	23	0%	1.1	23.1%	11.5%	11.6%	3.0%	4.63	4.24	+0.7
Career	—	MLE		47	0	82	348	61	66	0	0%	1.7	17.4%	19.0%	-1.6%	0.0%	2.74	4.04	-0.0
/ 200 IP	—	MLE		115	0	200	849	148	162	0	0%	1.7	17.4%	19.0%	-1.6%	0.0%	2.74	4.04	-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
Victor Fransua (OGILVIE)	—	—	4.68	22.9%	11.8%	3.0%	—	4.62	23.1%	11.6%	20	-0.06	—	—	—
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	91
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	87
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	87
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	86
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
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
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	85
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	85
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	85
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	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
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	84
Luis Vizcaino R 2000 · 4.11 FIP	25	SU	4.11	18.8%	11.5%	2.1%	.354	4.31	22.7%	14.9%	180	+0.20	3.07	564	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
Logan VanWey R 2023 · 4.34 FIP	24	SU	4.34	23.9%	14.0%	2.7%	.301	3.74	25.9%	15.2%	147	-0.60	2.97	194	84
Max Alba R 2023 · 4.47 FIP	24	SU	4.47	20.6%	12.6%	2.7%	.290	5.29	16.7%	9.8%	248	+0.82	4.47	303	84
Easton Sikorski R 2023 · 4.85 FIP	23	SU	4.85	20.9%	14.1%	3.1%	.254	4.62	17.5%	6.3%	154	-0.23	4.23	183	84
Jackson Hicks R 2023 · 3.90 FIP	25	SU	3.90	22.6%	10.5%	2.5%	.336	—	—	—	—	—	2.17	116	84
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	84
Cameron Gann R 2017 · 4.22 FIP	24	SU	4.22	21.4%	12.4%	2.5%	.296	5.36	21.1%	6.8%	23	+1.14	3.58	146	83