Franklin De La Paz

Franklin De La Paz P Great Lakes Loons

Age 28 LHP 6'2" / 190 lbs A+

2027 FULL-SEASON PROJECTION0 act + 17 ip · rates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 109117vR 125

ERA4.84

FIP4.84

K%22.9%

BB%13.1%

K-BB%9.8%

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 + 2027 so far)
2017	18	ROK MLE	DSL Dodgers 2	16	0	24	104	12	10	0	0%	1.5	7.8%	12.0%	-4.2%	0.0%	2.96	3.96	—
2017	18	ROK RAW	DSL Dodgers 2	16	0	24	104	12	10	0	0%	1.5	11.5%	9.6%	1.9%	0.0%	2.96	3.35	—
2018	19	ROK MLE	DSL Dodgers Guerrero	17	4	47	208	48	23	0	24%	2.7	15.7%	13.8%	1.9%	0.0%	3.28	3.53	—
2018	19	ROK RAW	DSL Dodgers Guerrero	17	4	47	208	48	23	0	24%	2.7	23.1%	11.1%	12.0%	0.0%	3.28	2.52	—
2019	20	ROK MLE	AZL Dodgers Lasorda	17	0	24	102	27	9	0	0%	1.4	18.0%	11.0%	7.0%	0.0%	5.25	2.98	—
2019	20	ROK RAW	AZL Dodgers Lasorda	17	0	24	102	27	9	0	0%	1.4	26.5%	8.8%	17.6%	0.0%	5.25	1.98	—
2021	22	MIX MLE	2 levels	26	1	39	168	52	15	1	4%	1.5	23.4%	10.4%	13.0%	0.8%	2.56	2.88	—
2021	22	MIX RAW	2 levels	26	1	39	168	52	15	1	4%	1.5	31.0%	8.9%	22.0%	0.6%	2.56	1.91	—
2023	24	A+ MLE	Great Lakes Loons	32	0	35	161	37	23	2	0%	1.1	17.7%	16.4%	1.3%	1.6%	5.19	4.58	—
2023	24	A+ RAW	Great Lakes Loons	32	0	35	161	37	23	2	0%	1.1	23.0%	14.3%	8.7%	1.2%	5.19	3.71	—
2024	25	A+ MLE	Great Lakes Loons	26	0	29	134	37	25	2	0%	1.1	21.3%	21.5%	-0.2%	1.8%	6.59	5.01	—
2024	25	A+ MLE	Great Lakes Loons	26	0	29	134	37	25	2	0%	1.1	21.3%	21.5%	-0.2%	1.8%	6.59	5.01	—
2024	25	A+ RAW	Great Lakes Loons	26	0	29	134	37	25	2	0%	1.1	27.6%	18.7%	9.0%	1.5%	6.59	4.04	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	LAD	16	0	17	72	16	9	2	0%	1.1	22.9%	13.1%	9.8%	3.0%	4.84	4.84	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	LAD	19	0	20	84	19	11	3	0%	1.1	22.8%	12.9%	9.8%	3.1%	4.86	4.92	-0.1
2028	29	MLB CTX	LAD	6	0	6	25	6	3	1	0%	1.0	22.8%	12.9%	9.8%	3.1%	4.86	4.92	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	6	26	6	3	1	0%	1.0	22.8%	12.9%	9.8%	3.1%	4.86	4.54	+0.0
/ 200 IP	—	RAW		190	0	200	844	198	99	33	0%	1.1	22.8%	12.9%	9.8%	3.1%	4.86	4.54	+0.0
Career	—	MLE		134	5	197	877	155	125	6	4%	1.5	17.7%	14.3%	3.4%	0.7%	4.16	3.81	-0.1
/ 200 IP	—	MLE		136	5	200	890	158	127	6	4%	1.5	17.7%	14.3%	3.4%	0.7%	4.16	3.81	-0.9

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
Franklin De La Paz (OGILVIE)	—	—	4.84	22.9%	13.1%	3.0%	—	4.92	22.8%	9.8%	20	+0.08	—	—	—
Colton Johnson L 2024 · 3.92 FIP	26	SU	3.92	20.8%	11.0%	2.1%	.309	4.53	12.2%	-0.4%	48	+0.61	3.92	106	81
Mitchell Tyranski L 2024 · 4.90 FIP	26	SU	4.90	21.0%	12.3%	3.7%	.234	3.46	20.5%	4.0%	57	-1.44	3.46	145	80
Ashur Tolliver L 2016 · 4.19 FIP	28	SU	4.19	21.3%	9.8%	3.0%	.308	5.03	13.8%	-5.1%	35	+0.84	3.49	134	80
Dario Alvarez L 2017 · 3.68 FIP	28	SU	3.68	24.7%	12.4%	2.0%	.336	3.47	20.7%	8.3%	27	-0.21	3.47	160	80
Juan Pablo Perez L 2007 · 5.32 FIP	28	SU	5.32	17.5%	14.0%	3.5%	.324	—	—	—	—	—	1.75	104	79
Aaron Brown L 2019 · 4.04 FIP	27	SU	4.04	22.9%	13.5%	2.1%	.317	4.77	19.4%	6.7%	129	+0.73	4.04	269	78
Armando Almanza L 2001 · 5.21 FIP	28	SU	5.21	25.3%	14.0%	4.5%	.260	4.73	25.3%	14.7%	108	-0.48	2.90	211	78
Trevor Lane L 2022 · 4.05 FIP	28	SU	4.05	22.2%	12.7%	2.2%	.317	—	—	—	—	—	2.13	246	78
John Bale L 2001 · 4.41 FIP	27	SU	4.41	18.6%	15.0%	1.8%	.219	4.12	19.0%	13.9%	46	-0.29	2.49	168	77
Jeff Ibarra L 2016 · 3.75 FIP	28	SU	3.75	17.8%	9.7%	1.7%	.321	3.29	19.2%	13.8%	66	-0.46	2.85	101	77
Stephen Randolph L 2003 · 4.83 FIP	29	SU	4.83	18.5%	14.8%	2.6%	.247	5.69	15.8%	-3.0%	82	+0.86	4.83	155	77
Josh Osich L 2017 · 5.00 FIP	28	SU	5.00	21.4%	12.9%	3.8%	.328	4.47	21.1%	14.1%	143	-0.53	3.41	315	77
Kelly Wunsch L 2000 · 3.65 FIP	28	SU	3.65	19.7%	10.8%	1.5%	.261	4.17	17.6%	5.9%	90	+0.52	3.36	175	76
Juan Grullon L 2016 · 4.64 FIP	26	SU	4.64	19.8%	10.9%	3.3%	.305	—	—	—	—	—	4.64	134	76
Mike Zagurski L 2012 · 4.48 FIP	29	SU	4.48	20.9%	11.7%	3.0%	.305	—	—	—	—	—	2.94	120	76
Jake Rice L 2024 · 3.75 FIP	27	SU	3.75	21.8%	13.8%	1.4%	.273	5.90	16.5%	0.9%	54	+2.15	3.16	199	76
Jordan Harrison L 2019 · 3.80 FIP	28	SU	3.80	19.1%	9.7%	2.0%	.311	—	—	—	—	—	3.80	244	74
Trey Jeans L 2022 · 5.09 FIP	26	SU	5.09	22.3%	16.5%	3.3%	.291	—	—	—	—	—	2.74	111	74
Adam Liberatore L 2015 · 3.64 FIP	28	SU	3.64	21.1%	7.3%	2.5%	.267	3.17	23.3%	15.2%	73	-0.47	2.38	124	73
Zac Rosscup L 2015 · 4.84 FIP	27	SU	4.84	24.6%	11.0%	4.4%	.296	2.85	29.5%	21.7%	40	-1.99	2.56	173	73