Franklin Rojas

C FCL Blue Jays

Age 20 R/R 5'10" / 176 lbs ROK Svc 0.0 · Ctrl thru 2035

Overview

ROKPROSPECTMiLBFA 2036

OGV OFP35OGV rank#689ETA2030MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKTOR	114	.258/.402/.348	1	0	51	—	.179/.304/.253
2025	18	ROKDSL Blue Jays…	140	.255/.419/.330	1	1	45	—	.161/.309/.214
2026	19	ROKTOR	179	.266/.413/.427	3	0	60	—	.179/.285/.282
2027PROJMLE	20	MLBTOR	289	.212/.293/.310	4	3	73	0.1
2028PROJ25% MLB	21	MLBTOR	36	.217/.298/.325	1	0	78	0.0
2029PROJ38% MLB	22	MLBTOR	90	.221/.302/.337	2	1	81	0.2

Next 3 projected WAR 0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2035Service0.0First FA2036

2027MiLB2028MiLB2029MiLB2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Arb-1$3M2034Arb-2$5M+1

Skills · percentileMiLB Statcast 2026 Rk

Whiff%83

Chase%80

Z-Con%79

wRC+75

BB%74

ISO69

Career WAR0.0 WAR median (P10 0.0 / P90 0.4, comp-based) · star 0% · didn't stick 93%

CompsRamon Mendoza (age 20) · Daniel Robertson (age 20) · Juan Fernandez (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 93 proj PA

wRC+†73

AVG/OBP/SLG.210 / .290 / .307

PA93

HR1

K%27

BB%9

ISO98

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$10M ctrl surplus

Contract

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.8M	+0.3	$1.0M	+$0.3M
2031	Pre-Arb	$0.9M	+0.5	$1M	+$0.9M
2032	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2033	Arb-1	$3M	+0.6	$2M	+$0.0M
2034	Arb-2	$5M	+0.6	$1M	+$0.0M (cut)
2035	Arb-3	$6M	+0.5	$1M	+$0.0M (cut)
Totals		$5M		$8M	+$2M

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 these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2024	17	ROK	DSL Blue Jays	—	114	89	23	3	1	1	17	16	5	0	0	258	402	348	750	90	297	14	15	345	51	—	—	—	—	—	—
2025	18	ROK	DSL Blue Jays Blue	—	140	106	27	5	0	1	21	21	9	1	0	255	419	330	749	75	295	15	15	348	45	—	—	—	—	—	—
2026	19	ROK	FCL Blue Jays	—	179	143	38	12	1	3	34	39	2	0	0	266	413	427	840	161	347	22	19	382	60	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Blue Jays	—	114	95	17	2	1	1	12	20	5	0	0	179	304	253	556	74	200	18	11	243	51	—	—	—	—	—	—
2025	18	ROK MLE	DSL Blue Jays Blue	—	140	112	18	3	0	1	15	26	9	1	0	161	309	214	523	54	175	19	11	235	45	—	—	—	—	—	—
2026	19	ROK MLE	FCL Blue Jays	—	179	156	28	8	1	2	21	56	2	0	0	179	285	282	567	103	260	31	12	257	60	—	—	—	—	—	—
2024	17	ROK MLE	DSL Blue Jays	—	114	95	17	2	1	1	12	20	5	0	0	179	304	253	556	74	211	18	11	243	51	—	—	—	—	—	—
2024	17	ROK RAW	DSL Blue Jays	—	114	89	23	3	1	1	17	16	5	0	0	258	402	348	750	90	297	14	15	345	51	—	—	—	—	—	—
2025	18	ROK MLE	DSL Blue Jays Blue	—	140	112	18	3	0	1	15	26	9	1	0	161	309	214	523	54	191	19	11	235	45	—	—	—	—	—	—
2025	18	ROK RAW	DSL Blue Jays Blue	—	140	106	27	5	0	1	21	21	9	1	0	255	419	330	749	75	295	15	15	348	45	—	—	—	—	—	—
2026	19	ROK MLE	FCL Blue Jays	—	179	156	28	8	1	2	21	56	2	0	0	179	285	282	567	103	265	31	12	257	60	—	—	—	—	—	—
2026	19	ROK RAW	FCL Blue Jays	—	179	143	38	12	1	3	34	39	2	0	0	266	413	427	840	161	347	22	19	382	60	—	—	—	—	—	—
2024	17	ROK MLE	DSL Blue Jays	—	114	96	17	2	1	1	12	20	5	0	0	177	304	250	554	73	200	18	11	243	51	—	—	—	—	—	—
2025	18	ROK MLE	DSL Blue Jays Blue	—	140	115	18	3	0	1	15	26	9	1	0	157	309	209	518	52	175	19	11	235	45	—	—	—	—	—	—
2026	19	ROK MLE	FCL Blue Jays	—	179	154	28	8	1	2	21	56	2	0	0	182	285	286	571	104	260	31	12	257	60	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Blue Jays	—	114	96	17	2	1	1	12	20	5	0	0	177	304	250	554	73	200	18	11	243	51	—	—	—	—	—	—
2025	18	ROK MLE	DSL Blue Jays Blue	—	140	115	18	3	0	1	15	26	9	1	0	157	309	209	518	52	175	19	11	235	45	—	—	—	—	—	—
2026	19	ROK MLE	FCL Blue Jays	—	179	154	28	8	1	2	21	56	2	0	0	182	285	286	571	104	260	31	12	257	60	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	TOR	0%	289	258	55	10	2	4	25	78	4	3	1	212	293	310	603	98	284	27	9	275	73	-9	+0	-1	+5	+6	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	TOR	25%	143	127	27	5	1	2	13	38	2	1	1	216	297	324	621	108	286	27	9	283	78	-4	-0	-0	+3	+3	0.1
2029	22	MLB MLE	TOR	38%	236	210	45	8	1	4	21	62	3	2	1	220	301	335	636	115	287	26	9	289	81	-5	+0	-1	+4	+5	0.4
2030	23	MLB MLE	TOR	45%	332	295	65	12	2	6	29	86	5	3	1	223	303	344	647	121	288	26	9	293	84	-6	+0	-1	+6	+7	0.7
2031	24	MLB MLE	TOR	48%	397	353	79	15	2	8	35	101	6	3	1	225	306	350	656	125	289	25	9	296	87	-6	+0	-0	+7	+9	1.0
2032	25	MLB MLE	TOR	50%	435	387	88	16	3	9	39	110	6	3	1	227	307	355	662	128	289	25	9	298	88	-6	+0	+0	+8	+9	1.2
2033	26	MLB MLE	TOR	50%	445	397	91	17	3	10	39	113	6	3	1	227	307	355	662	128	289	25	9	298	88	-6	+0	+0	+8	+10	1.2
2034	27	MLB MLE	TOR	50%	445	396	90	16	3	10	40	113	6	3	1	225	306	352	658	127	288	25	9	297	87	-7	+0	+0	+8	+10	1.1
2035	28	MLB MLE	TOR	50%	445	397	88	16	3	9	39	114	6	2	2	224	303	348	651	124	287	26	9	294	85	-8	-0	-0	+8	+10	0.9
2036	29	MLB MLE	TOR	49%	445	397	87	16	2	9	39	116	6	2	2	221	301	341	642	120	286	26	9	290	83	-9	-0	-1	+8	+10	0.7
2037	30	MLB MLE	TOR	48%	441	393	85	16	2	8	39	116	6	2	6	218	297	333	630	115	284	26	9	286	79	-11	-2	-2	+8	+10	0.3
2038	31	MLB MLE	TOR	52%	407	364	77	14	2	7	35	109	5	2	7	214	292	323	615	110	281	27	9	280	75	-12	-2	-3	+7	+9	-0.1
2028	21	MLB CTX	TOR	25%	36	32	7	1	0	1	3	10	1	0	0	217	298	325	624	108	287	28	8	284	78	-1	+0	-0	+1	+1	0.0
2029	22	MLB CTX	TOR	38%	90	81	18	3	1	2	8	23	1	1	0	221	302	337	638	116	288	26	9	289	81	-2	+0	-0	+2	+2	0.2
2030	23	MLB CTX	TOR	45%	151	135	30	5	1	3	13	39	2	1	0	224	304	345	649	121	289	26	9	294	84	-3	+0	-0	+3	+3	0.3
2031	24	MLB CTX	TOR	48%	191	169	38	7	1	4	17	49	3	2	1	226	306	352	658	126	290	26	9	297	87	-3	+0	-0	+3	+4	0.5
2032	25	MLB CTX	TOR	50%	216	192	44	8	1	5	19	55	3	2	1	228	307	356	664	129	291	25	9	299	88	-3	+0	+0	+4	+5	0.6
2033	26	MLB CTX	TOR	50%	225	200	45	8	1	5	20	57	3	2	1	228	307	356	664	129	290	25	9	299	88	-3	+0	+0	+4	+5	0.6
2034	27	MLB CTX	TOR	50%	223	198	45	8	1	5	20	57	3	2	1	226	306	354	660	127	290	26	9	298	87	-3	+0	+0	+4	+5	0.6
2035	28	MLB CTX	TOR	50%	221	196	44	8	1	5	20	57	3	1	1	224	304	349	653	124	289	26	9	295	85	-4	-0	-0	+4	+5	0.5
2036	29	MLB CTX	TOR	49%	216	192	42	8	1	4	19	56	3	1	1	222	301	342	644	120	287	26	9	291	83	-4	-0	-1	+4	+5	0.3
2037	30	MLB CTX	TOR	48%	210	187	40	7	1	4	18	55	3	1	3	219	298	334	632	116	285	26	9	286	79	-5	-1	-1	+4	+5	0.1
2038	31	MLB CTX	TOR	52%	210	187	40	7	1	4	18	56	3	1	3	214	293	324	617	110	282	27	9	280	75	-6	-1	-1	+4	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1989	1769	393	70	10	42	175	514	28	14	12	222	302	344	646	122	287	26	9	293	81	-38	-2	-3	+36	+43	3.6
/ 162G	—	A+C		—	650	578	129	23	3	14	57	168	9	5	4	223	303	346	649	123	288	26	9	293	81	-12	-1	-1	+12	+14	1.2
Career	—	MLE		—	4697	4163	902	167	27	87	424	1205	74	28	24	217	300	332	633	116	281	26	9	287	81	-84	-4	-7	+76	+92	7.5
/ 162G	—	MLE		—	650	576	125	23	4	12	59	167	10	4	3	217	301	333	634	116	282	26	9	287	81	-13	-1	-1	+12	+14	1.1

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 ROKFCL Blue Jays · 179 PAwOBA .373 → .257 (−116)K% 21.8% → 31.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.79%	÷1.000	×1.440	—	—	31.37%
BB% (unintentional) /PA	18.99%	÷1.000	×0.620	—	×1.008	11.86%
HBP% /PA	1.12%	—	×0.720	—	×1.008	0.81%
Singles /BIP	21.15%	÷1.000	×0.820	×0.957	×1.008	16.72%
Doubles /BIP	11.54%	÷1.000	×0.720	×0.957	×1.008	8.01%
Triples /BIP	0.96%	÷1.000	×0.720	×0.957	×1.008	0.67%
Home runs /BIP	2.88%	÷1.000	×0.780	—	×1.008	2.27%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.957.

Result: wOBA .373 → .257; ISO .161 → .113; BABIP .347 → .260. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 DSLDSL Blue Jays Blue · 140 PAwOBA .351 → .235 (−116)K% 15.0% → 18.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.00%	÷0.968	×1.220	—	—	18.91%
BB% (unintentional) /PA	15.00%	÷0.988	×0.700	—	×1.008	10.71%
HBP% /PA	6.43%	—	×0.700	—	×1.008	4.53%
Singles /BIP	24.71%	÷1.086	×0.680	×0.950	×1.008	14.81%
Doubles /BIP	5.88%	÷1.023	×0.600	×0.950	×1.008	3.30%
Triples /BIP	0.00%	÷0.900	×0.600	×0.950	×1.008	0.00%
Home runs /BIP	1.18%	÷0.836	×0.470	—	×1.008	0.67%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 67, 1B 117, 2B 105, 3B 80, K 94, BB 98 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .351 → .235; ISO .075 → .046; BABIP .295 → .175. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 DSLDSL Blue Jays · 114 PAwOBA .344 → .243 (−100)K% 14.0% → 17.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.04%	÷0.973	×1.220	—	—	17.60%
BB% (unintentional) /PA	14.91%	÷1.015	×0.700	—	×1.022	10.51%
HBP% /PA	4.39%	—	×0.700	—	×1.022	3.14%
Singles /BIP	24.66%	÷0.958	×0.680	×0.950	×1.022	17.00%
Doubles /BIP	4.11%	÷0.964	×0.600	×0.950	×1.022	2.48%
Triples /BIP	1.37%	÷0.900	×0.600	×0.950	×1.022	0.89%
Home runs /BIP	1.37%	÷0.892	×0.470	—	×1.022	0.74%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 78, 1B 92, 2B 93, 3B 80, K 95, BB 103 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .344 → .243; ISO .090 → .057; BABIP .297 → .200. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#2Dioner Navarrolast yr '16 career totals — 12 seasons, 3,544 PA	5.3	3,544	77	14	250	308	370	+63	-1	12.1	11.6
/162	664	14	3	+11.9	-0.2	2.3	pk7: 11
#3Brian Schneider'00-'12 * career totals — 12 seasons, 3,570 PA	5.4	3,570	67	4	238*	309*	359*	+63	-0	9.0	8.8
/162	664	12	1	+11.7	-0.1	1.7	pk7: 9
#4Buck Rodgers'61-'69 * career totals — 9 seasons, 3,353 PA	5.0	3,353	31	17	239*	294*	339*	+60	+0	6.4	6.5
/162	664	6	3	+11.8	+0.0	1.3	pk7: 7
#5Fred Kendall'69-'80 * career totals — 8 seasons, 2,823 PA	4.3	2,823	31	5	231*	283*	340*	+48	+1	5.0	5.9
/162	664	7	1	+11.2	+0.1	1.2	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.1	2,081	41	14	223	299	344	+37	+0	5.1	4.6
/162	664	13	4	+11.9	+0.0	1.6	pk7: 4
#6Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	pk7: 4

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Franklin Rojas (OGILVIE)	20	—	—	—	—	210/290/307	97	284	1	1	27%	9%	73	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ramon Mendoza 2021 · A	20	45→51	38→45	40→45	45	210/282/297	87	291	5	4	28%	7%	66	-1.1	196/268/274	78	282	4	5	29%	8%	56	-1.9	232/310/341	109	301	10	3	24%	9%	83	+0.1
●Daniel Robertson 2014 · A	20	47→57	43→45	37→40	45	231/292/342	111	292	10	3	24%	7%	80	-0.1	252/320/366	114	316	9	3	22%	7%	96	+1.0	256/329/366	110	321	8	2	21%	8%	96	+0.9
✕Juan Fernandez 2019 · A	20	43→53	39→40	39→50	44	205/264/289	84	263	6	4	24%	6%	57	-1.8	211/270/305	94	274	8	5	25%	6%	63	-1.3	239/301/321	82	296	8	9	21%	6%	75	-0.3
✕Tyler Nevin 2017 · A	20	44→54	38→50	40→45	45	209/276/295	86	290	5	6	28%	8%	63	-1.3	239/291/345	106	307	9	7	24%	6%	80	-0.2	240/319/380	139	292	16	4	22%	8%	98	+0.8
✕Deivy Grullón 2017 · A	21	44→45	42→55	38→30	37	215/257/318	103	300	10	2	31%	5%	61	-1.5	233/271/374	141	313	17	2	30%	5%	80	-0.2	236/277/397	161	310	22	0	31%	5%	85	+0.2
✕Cutter Dykstra 2009 · A	20	44→54	42→40	41→55	45	215/280/315	100	287	9	7	28%	8%	70	-0.9	213/274/291	78	300	6	14	29%	7%	61	-1.5	239/306/325	86	316	6	16	24%	8%	79	-0.2
✕Jacob Reimer 2024 · A	20	46→49	40→45	44→50	50	217/316/303	86	302	8	5	28%	10%	82	-0.0	226/307/346	120	303	11	9	27%	9%	87	+0.4	226/302/377	150	302	15	14	28%	8%	90	+0.5
✕Ronaldo Hernández 2018 · A	20	48→44	41→50	40→45	44	231/276/332	101	269	8	4	17%	5%	72	-0.7	228/268/357	129	270	15	7	21%	4%	75	-0.5	229/267/377	149	266	18	5	22%	3%	77	-0.2
✕Carlos Rivero 2008 · A	20	46→56	40→50	40→45	44	224/273/312	88	282	7	2	23%	6%	65	-1.2	231/277/325	94	291	8	2	22%	6%	70	-0.9	246/288/354	109	310	10	4	23%	5%	79	-0.2
✕Eric Wood 2014 · A	21	43→50	41→55	39→45	39	212/257/305	93	289	8	4	29%	5%	58	-1.7	219/273/314	95	305	6	5	28%	6%	66	-1.1	212/274/375	163	269	18	7	28%	7%	79	-0.1
✕Eddys Leonard 2021 · A	20	42→47	39→50	45→50	45	198/273/287	89	286	6	8	31%	8%	61	-1.5	229/297/377	148	305	16	5	29%	7%	91	+0.6	227/295/375	148	296	16	4	28%	6%	86	+0.3
✕John Ryan Murphy 2011 · A	20	45→48	43→50	42→40	46	223/279/331	108	276	11	5	23%	7%	72	-0.7	228/273/343	115	275	10	4	20%	6%	73	-0.6	243/294/362	119	301	12	0	23%	6%	84	+0.1
✕Edinson Rincon 2011 · A	20	42→52	44→45	42→30	43	213/264/330	117	266	12	3	25%	6%	67	-1.1	247/286/366	119	305	11	3	22%	5%	83	+0.1	255/295/362	107	317	10	1	22%	5%	82	+0.0
✕Carlos Pérez 2011 · A	20	46→49	37→55	43→45	52	215/292/293	78	267	3	6	19%	9%	69	-0.9	224/274/313	89	287	5	4	22%	6%	65	-1.2	249/297/366	117	288	10	4	17%	6%	86	+0.2
✕Nate Samson 2008 · A	20	47→57	35→40	37→45	48	218/283/272	54	271	2	4	20%	7%	60	-1.6	245/296/299	54	281	3	7	13%	5%	71	-0.8	218/263/316	97	257	8	9	18%	5%	60	-0.6
✕Jonathan Meyer 2012 · A	21	43→45	41→45	35→40	41	210/263/301	91	296	9	3	31%	6%	59	-1.6	213/255/302	89	281	9	3	26%	5%	57	-1.8	194/238/271	77	249	8	2	25%	5%	41	-1.9
✕Jhonny Pereda 2017 · A	21	43→48	37→40	39→40	47	202/262/275	73	242	4	3	18%	6%	53	-2.1	220/275/284	64	278	4	3	21%	7%	59	-1.6	270/340/368	97	359	7	0	25%	9%	100	+0.6
✕Paul Kelly 2006 · A	19	45→52	40	40	40	216/274/305	90	305	8	6	30%	6%	65	-1.2	232/286/316	84	295	4	5	22%	5%	72	-0.7	244/298/328	84	302	3	3	19%	5%	76	-0.3
✕Agustín Ramírez 2022 · A	20	36→46	43→55	43→55	40	184/244/295	111	273	10	4	35%	7%	51	-2.2	225/286/365	140	284	15	12	25%	7%	84	+0.1	236/301/405	169	279	19	20	22%	7%	97	+1.1
✕Victor Bericoto 2023 · A	21	46→49	43→50	41→40	42	223/284/326	103	320	11	4	32%	8%	74	-0.6	230/278/363	133	307	16	4	29%	6%	80	-0.2	230/278/364	134	300	16	3	28%	6%	78	-0.2

Franklin Rojas

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps