Zach Franklin — OGILVIE

Zach Franklin P Syracuse Mets

Age 27 RHP 6'1" / 198 lbs AAA peak 0.2 · 2026

2026 ROS PROJECTION58 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 113104vR 96

ERA4.18

FIP4.18

K%28.0%

BB%12.3%

K-BB%15.8%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 64 IP

Grades · Contract

Scouting Grades

OFP—40

CMD3035

K†6565

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)
2023	24	MIX MLE	2 levels	11	0	11	54	18	6	0	0%	1.0	33.3%	11.1%	22.2%	0.0%	6.35	1.69	—
2023	24	MIX MLE	2 levels	11	0	11	54	18	6	0	0%	1.0	33.3%	11.1%	22.2%	0.0%	6.35	1.69	—
2023	24	MIX RAW	2 levels	11	0	11	54	18	6	0	0%	1.0	33.3%	11.1%	22.2%	0.0%	6.35	1.51	—
2024	25	MIX MLE	2 levels	37	0	51	205	75	19	2	0%	1.4	26.4%	10.9%	15.5%	1.8%	3.20	3.24	—
2024	25	MIX MLE	2 levels	37	0	51	205	75	19	2	0%	1.4	26.4%	10.9%	15.5%	1.8%	3.20	3.24	—
2024	25	MIX RAW	2 levels	37	0	51	205	75	19	2	0%	1.4	36.6%	9.3%	27.3%	1.0%	3.20	1.78	—
2025	26	MIX MLE	2 levels	48	0	56	224	79	24	4	0%	1.2	28.7%	11.3%	17.5%	2.1%	2.40	3.26	—
2025	26	MIX MLE	2 levels	48	0	56	224	79	24	4	0%	1.2	28.7%	11.3%	17.5%	2.1%	2.40	3.26	—
2025	26	MIX RAW	2 levels	48	0	56	224	79	24	4	0%	1.2	35.3%	10.7%	24.6%	1.8%	2.40	2.50	—
▸ 2026 season
YTD	27	AAA MLE	Syracuse Mets	43	1	58	233	70	17	13	2%	1.3	24.9%	6.6%	18.4%	6.1%	3.90	5.19	—
YTD	27	AAA MLE	Syracuse Mets	43	1	58	233	70	17	13	2%	1.3	24.9%	6.6%	18.4%	6.1%	3.90	5.19	—
▸ 2026 season — so far · projected rest · full
2026	27	AAA RAW	NYM	43	1	58	233	70	17	13	2%	1.3	30.0%	7.3%	22.7%	5.6%	3.90	4.55	—
ROS	27	MLB MLE	NYM	6	0	6	27	7	3	1	0%	1.1	28.0%	12.3%	15.8%	2.8%	4.18	4.18	+0.0
2026 TOT	27	MLB MLE	NYM	—	—	64	260	77	20	14	—	—	29.8%	7.8%	22.0%	5.3%	3.93	5.09	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	28	MLB MLE	NYM	65	0	68	287	79	35	8	0%	1.0	27.5%	12.1%	15.4%	2.9%	4.24	4.27	+0.2
2028	29	MLB MLE	NYM	62	0	65	274	74	33	8	0%	1.0	26.9%	12.1%	14.8%	3.0%	4.34	4.41	+0.1
2027	28	MLB CTX	NYM	28	0	29	122	34	15	4	0%	1.0	27.5%	12.1%	15.4%	2.9%	4.24	4.27	+0.1
2028	29	MLB CTX	NYM	36	0	38	160	43	19	5	0%	1.1	26.9%	12.1%	14.8%	3.0%	4.34	4.41	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		65	0	68	286	78	35	8	0%	1.0	27.2%	12.1%	15.0%	3.0%	4.30	3.97	+0.5
/ 200 IP	—	RAW		190	0	200	844	230	103	24	0%	1.1	27.2%	12.1%	15.0%	3.0%	4.30	3.97	+1.4
Career	—	MLE		139	1	176	716	195	69	23	1%	1.3	27.2%	9.6%	17.6%	3.2%	3.38	3.77	+0.4
/ 200 IP	—	MLE		158	1	200	814	221	78	26	1%	1.3	27.2%	9.6%	17.6%	3.2%	3.38	3.77	+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
Zach Franklin (OGILVIE)	—	—	4.18	28.0%	12.3%	2.8%	—	4.34	27.2%	15.1%	133	+0.16	—	—	—
Brad Boxberger R 2015 · 3.93 FIP	27	SU	3.93	27.3%	10.0%	3.4%	.280	4.09	28.5%	17.2%	107	+0.16	3.01	363	88
Brad Brach R 2015 · 3.22 FIP	29	SU	3.22	27.5%	10.8%	1.9%	.259	3.13	25.6%	17.1%	210	-0.09	2.69	410	86
Jon Edwards R 2015 · 3.40 FIP	27	SU	3.40	31.7%	13.1%	2.4%	.264	2.40	30.3%	22.6%	30	-1.00	2.40	132	86
Ryan Garton R 2017 · 3.67 FIP	27	SU	3.67	25.2%	11.3%	2.3%	.252	4.15	23.5%	10.8%	108	+0.48	3.14	307	85
Michael Flynn R 2023 · 4.31 FIP	26	SU	4.31	26.5%	11.2%	3.7%	.299	4.42	20.8%	10.2%	92	+0.11	3.89	168	85
Peyton Gray R 2021 · 4.27 FIP	26	SU	4.27	29.2%	14.1%	3.4%	.307	—	—	—	—	—	3.65	159	84
Simon Castro R 2015 · 3.28 FIP	27	SU	3.28	26.4%	8.5%	2.4%	.320	3.58	26.0%	17.6%	128	+0.30	3.01	185	83
Jacob Bosiokovic R 2021 · 3.93 FIP	27	SU	3.93	26.4%	14.3%	2.3%	.274	4.86	21.0%	9.6%	69	+0.93	3.84	181	83
Spencer Patton R 2015 · 3.47 FIP	27	SU	3.47	26.8%	9.6%	2.6%	.295	2.79	30.3%	18.1%	57	-0.68	2.79	239	83
Zac Leigh R 2023 · 3.84 FIP	25	SU	3.84	28.1%	11.7%	3.0%	.282	4.58	19.9%	3.7%	131	+0.74	3.70	201	83
Justin Grimm R 2016 · 3.11 FIP	27	SU	3.11	28.9%	9.3%	2.3%	.313	4.33	25.2%	13.4%	170	+1.22	3.00	335	83
Seth Simmons R 2015 · 3.07 FIP	27	SU	3.07	23.8%	9.7%	1.4%	.277	4.87	16.6%	7.6%	175	+1.80	3.07	251	83
Beck Wheeler R 2016 · 4.42 FIP	27	SU	4.42	24.9%	14.5%	2.9%	.360	5.40	15.3%	3.1%	58	+0.98	3.46	173	82
Matt Ramsey R 2017 · 3.25 FIP	27	SU	3.25	24.2%	9.6%	1.8%	.330	3.21	23.6%	14.6%	81	-0.04	2.42	125	82
Taylor Williams R 2018 · 3.52 FIP	27	SU	3.52	24.2%	8.9%	2.4%	.309	4.35	22.5%	12.7%	108	+0.83	2.51	309	82
Kyle Barraclough R 2017 · 3.42 FIP	27	SU	3.42	26.6%	12.2%	1.8%	.282	4.99	24.5%	12.2%	89	+1.57	1.95	523	82
Blake Smith R 2015 · 3.17 FIP	27	SU	3.17	23.3%	10.5%	1.3%	.290	3.59	22.4%	13.8%	71	+0.42	3.17	124	82
Maikel Cleto R 2016 · 3.44 FIP	27	SU	3.44	27.9%	9.9%	2.6%	.301	3.61	23.6%	14.3%	70	+0.17	2.59	156	81
Blake Treinen R 2015 · 3.10 FIP	27	SU	3.10	23.2%	9.3%	1.4%	.314	2.62	26.4%	19.2%	223	-0.48	1.53	547	81
Ryan Brasier R 2016 · 3.68 FIP	28	SU	3.68	25.0%	7.7%	3.1%	.289	3.09	24.2%	17.9%	130	-0.59	2.31	426	80

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	1.0	68	27.5%	12.2%	1.12	4.25
Lucas Sims ('24)	1.4	47	27.6%	11.6%	1.24	4.22
Daniel Bard ('23)	1.0	50	25.1%	13.5%	0.81	3.82
José Cisnero ('23)	1.1	42	24.8%	11.3%	0.94	3.84
Michael Kopech ('24)	1.9	96	26.1%	12.5%	1.45	4.15
Keegan Thompson ('24)	1.1	57	23.0%	11.3%	1.19	3.64
Robert Stephenson ('23)	1.7	57	26.2%	9.9%	1.39	4.33