Wander Franco

PosSS

B/TS/R

Born2001-03-01

Age (2027)26

No MLB projection yet. Career stats below are historical.

Overview

MLBLAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2021	20	AAATB	180	.313/.374/.583	7	5	126	—	.287/.335/.491
2021	20	MLBTB	308	.288/.349/.463	7	2	127	2.1
2022	21	AAATB	25	.429/.520/.524	0	0	164	—	.409/.480/.500
2022	21	MLBTB	344	.277/.332/.417	6	8	108	1.9
2023	22	MLBTB	491	.281/.347/.475	17	30	126	4.5
2024	23	No MLB games played
2025	24	No MLB games played
2026	25	No MLB games played

Last 3 seasons WAR 8.5

Contract

No contract data on file.

Skills · percentileStatcast 2021-2023

xwOBA84

Bat Spd55

Speed50

Avg EV41

Barrel%33

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.

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)
2018	17	ROK	Princeton Rays	—	273	242	85	10	7	11	27	19	2	4	3	351	421	587	1.007	236	346	7	10	436	122	—	—	—	—	—	—
2019	18	A+	Charlotte Stone Crabs	—	223	192	65	11	2	3	26	15	0	4	5	339	417	464	881	125	346	7	12	386	124	—	—	—	—	—	—
2019	18	A	Bowling Green Hot Rods	—	272	233	74	16	5	6	30	20	2	14	9	318	400	506	906	189	318	7	11	390	109	—	—	—	—	—	—
2019	18	INTL	Gigantes del Cibao	—	26	26	5	0	0	1	0	3	0	0	0	192	192	308	500	115	182	12	0	219	35	—	—	—	—	—	—
2020	19	INTL	Leones del Escogido	—	23	20	7	0	0	1	3	4	0	1	0	350	435	500	935	150	400	17	13	418	169	—	—	—	—	—	—
2021	20	MLB	Tampa Bay Rays	—	308	281	81	18	5	7	24	37	2	2	1	288	349	463	811	174	311	12	8	358	127	+10	+0	-1	+5	+7	2.1
2021	20	AAA	Durham Bulls	—	180	163	51	11	6	7	14	21	2	5	4	313	374	583	957	270	324	12	8	411	126	—	—	—	—	—	—
2022	21	MLB	Tampa Bay Rays	—	344	314	87	20	3	6	26	33	0	8	0	277	332	417	750	140	290	10	8	330	108	+3	+2	+2	+4	+7	1.9
2022	21	AAA	Durham Bulls	—	25	21	9	2	0	0	4	3	0	0	1	429	520	524	1.044	95	500	12	16	468	164	—	—	—	—	—	—
2023	22	MLB	Tampa Bay Rays	—	491	442	124	23	6	17	42	69	3	30	10	281	347	475	822	195	297	14	9	360	126	+15	+2	+11	+5	+11	4.5
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1143	1037	292	61	14	30	92	139	5	40	11	282	343	454	797	173	299	12	8	350	123	+32	+4	+12	+14	+25	8.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2018	17	ROK MLE	Princeton Rays	—	273	252	72	8	5	9	17	27	2	4	3	286	336	464	800	179	288	10	6	348	122	—	—	—	—	—	—
2019	18	A+ MLE	Charlotte Stone Crabs	—	223	199	62	11	2	3	19	21	0	4	5	312	372	432	804	121	318	9	9	352	124	—	—	—	—	—	—
2019	18	A MLE	Bowling Green Hot Rods	—	272	242	67	12	4	4	21	29	2	14	9	277	340	409	749	132	283	11	8	329	109	—	—	—	—	—	—
2021	20	MLB MLE	Tampa Bay Rays	—	308	281	80	18	5	7	24	37	2	2	1	285	345	459	804	174	311	12	8	356	127	+10	+0	-1	+5	+7	2.1
2021	20	AAA MLE	Durham Bulls	—	180	167	48	9	5	5	10	24	2	5	4	287	335	491	826	204	310	13	6	354	126	—	—	—	—	—	—
2022	21	MLB MLE	Tampa Bay Rays	—	344	315	86	20	3	6	25	33	0	8	0	273	326	413	739	140	290	10	7	327	108	+3	+2	+2	+4	+7	1.9
2022	21	AAA MLE	Durham Bulls	—	25	22	9	2	0	0	3	4	0	0	1	409	480	500	980	91	473	16	12	410	164	—	—	—	—	—	—
2023	22	MLB MLE	Tampa Bay Rays	—	491	445	123	24	6	17	39	69	3	30	10	276	339	472	811	196	297	14	8	355	126	+15	+2	+11	+5	+11	4.5
2018	17	ROK MLE	Princeton Rays	—	273	252	72	8	5	9	17	27	2	4	3	286	336	464	800	179	289	10	6	348	122	—	—	—	—	—	—
2018	17	ROK RAW	Princeton Rays	—	273	242	85	10	7	11	27	19	2	4	3	351	421	587	1.007	236	346	7	10	436	122	—	—	—	—	—	—
2019	18	A MLE	3 teams	—	521	466	136	24	6	8	41	52	2	18	14	292	352	421	772	129	306	10	8	339	116	—	—	—	—	—	—
2019	18	A RAW	3 teams	—	521	451	144	27	7	10	56	38	2	18	14	319	397	477	874	157	323	7	11	380	116	—	—	—	—	—	—
2020	19	INTL MLE	Leones del Escogido	—	23	20	7	0	0	1	3	4	0	1	0	350	435	500	935	150	400	17	13	—	—	—	—	—	—	—	—
2020	19	INTL RAW	Leones del Escogido	—	23	20	7	0	0	1	3	4	0	1	0	350	435	500	935	150	400	17	13	418	169	—	—	—	—	—	—
2021	20	MLB MLE	2 teams	—	488	448	129	28	10	12	34	61	4	7	5	288	344	475	819	188	310	12	7	355	127	+15	-1	-1	+5	+11	3.0
2021	20	MLB RAW	2 teams	—	488	444	132	29	11	14	38	58	4	7	5	297	358	507	865	209	316	12	8	377	127	+15	-1	-1	+5	+11	3.0
2022	21	MLB MLE	2 teams	—	369	337	95	22	3	6	28	37	0	8	1	282	337	418	755	136	299	10	8	333	111	+5	+1	+2	+4	+8	2.1
2022	21	MLB RAW	2 teams	—	369	335	96	22	3	6	30	36	0	8	1	287	345	424	769	137	303	10	8	340	111	+5	+1	+2	+4	+8	2.1
2023	22	MLB MLE	Tampa Bay Rays	—	491	445	123	24	6	17	39	69	3	30	10	276	339	472	811	196	292	14	8	355	126	+15	+2	+11	+5	+11	4.5
2023	22	MLB RAW	Tampa Bay Rays	—	491	442	124	23	6	17	42	69	3	30	10	281	347	475	822	195	297	14	9	360	126	+15	+2	+11	+5	+11	4.5
2018	17	ROK MLE	Princeton Rays	—	273	252	72	8	5	9	17	27	2	4	3	286	336	464	800	179	288	10	6	348	122	—	—	—	—	—	—
2019	18	A MLE	3 teams	—	521	473	136	24	6	8	41	52	2	18	14	288	352	414	766	127	299	10	8	339	116	—	—	—	—	—	—
2021	20	MLB MLE	2 teams	—	488	447	129	28	10	12	34	61	4	7	5	289	344	477	820	188	311	12	7	355	127	—	—	—	—	—	—
2022	21	MLB MLE	2 teams	—	369	338	95	22	3	6	28	37	0	8	1	281	337	417	754	136	303	10	8	333	111	—	—	—	—	—	—
2023	22	MLB MLE	Tampa Bay Rays	—	491	446	123	24	6	17	39	69	3	30	10	276	339	471	810	195	297	14	8	355	126	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1143	1037	292	61	14	30	92	139	5	40	11	282	343	454	797	173	299	12	8	350	118	+32	+4	+12	+14	+25	8.9
/ 162G	—	A+C		—	650	590	166	35	8	17	52	79	3	23	6	281	343	454	797	173	299	12	8	350	118	+18	+2	+7	+8	+14	5.0
Career	—	MLE		—	2165	1968	562	106	30	53	162	250	11	68	33	286	343	451	794	165	301	12	7	343	118	+32	+4	+12	+14	+25	8.9
/ 162G	—	MLE		—	650	591	169	32	9	16	49	75	3	20	10	286	344	452	795	166	302	12	8	343	118	+18	+2	+7	+8	+14	5.0

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.

2022 AAADurham Bulls · 25 PAwOBA .456 → .410 (−46)K% 12.0% → 14.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.00%	÷0.999	×1.200	—	—	14.42%
BB% (unintentional) /PA	16.00%	÷1.059	×0.690	—	×1.050	10.94%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	38.89%	÷0.988	×0.930	—	×1.050	38.44%
Doubles /BIP	11.11%	÷1.091	×0.830	—	×1.050	8.87%
Triples /BIP	0.00%	÷1.150	×0.970	—	×1.050	0.00%
Home runs /BIP	0.00%	÷1.034	×0.700	—	×1.050	0.00%

Factors used: league row International League. Park (home-season share, regressed): HR 107, 1B 98, 2B 118, 3B 130, K 100, BB 112 — applied at half strength. Age: age 21 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (6.2 yr younger than average).

Result: wOBA .456 → .410; ISO .095 → .079; BABIP .500 → .473. 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).

2021 AAADurham Bulls · 180 PAwOBA .402 → .354 (−49)K% 11.7% → 13.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.67%	÷1.029	×1.200	—	—	13.61%
BB% (unintentional) /PA	7.78%	÷1.016	×0.690	—	×1.050	5.55%
HBP% /PA	1.11%	—	×0.940	—	×1.050	1.10%
Singles /BIP	19.01%	÷0.945	×0.930	×1.023	×1.050	20.10%
Doubles /BIP	7.75%	÷1.067	×0.830	×1.023	×1.050	6.47%
Triples /BIP	4.23%	÷1.150	×0.920	×1.023	×1.050	3.63%
Home runs /BIP	4.93%	÷1.059	×0.700	—	×1.050	3.42%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 112, 1B 89, 2B 113, 3B 130, K 106, BB 103 — applied at half strength. Age: age 20 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (7.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.023.

Result: wOBA .402 → .354; ISO .270 → .211; BABIP .324 → .310. 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).

2019 ABowling Green Hot Rods · 272 PAwOBA .389 → .329 (−60)K% 7.4% → 10.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.35%	÷0.944	×1.360	—	—	10.59%
BB% (unintentional) /PA	10.66%	÷1.012	×0.690	—	×1.050	7.63%
HBP% /PA	0.74%	—	×0.780	—	×1.050	0.60%
Singles /BIP	22.07%	÷0.960	×0.920	×0.950	×1.050	21.10%
Doubles /BIP	7.51%	÷1.103	×0.830	×0.950	×1.050	5.64%
Triples /BIP	2.35%	÷1.124	×0.910	×0.950	×1.050	1.90%
Home runs /BIP	2.82%	÷1.270	×0.800	—	×1.050	1.86%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 154, 1B 92, 2B 121, 3B 125, K 89, BB 102 — applied at half strength. Age: age 18 vs a level average of 22.0 → +5.0% on BB/HBP/hit rates (4.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .389 → .329; ISO .189 → .142; BABIP .318 → .283. 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).

2019 A+Charlotte Stone Crabs · 223 PAwOBA .382 → .352 (−30)K% 6.7% → 9.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.73%	÷1.033	×1.420	—	—	9.25%
BB% (unintentional) /PA	10.76%	÷1.018	×0.750	—	×1.050	8.33%
HBP% /PA	0.00%	—	×0.930	—	×1.050	0.00%
Singles /BIP	27.68%	÷1.008	×0.920	×0.950	×1.050	25.19%
Doubles /BIP	6.21%	÷1.011	×0.960	×0.950	×1.050	5.89%
Triples /BIP	1.13%	÷0.900	×0.810	×0.950	×1.050	1.01%
Home runs /BIP	1.69%	÷0.939	×0.880	—	×1.050	1.67%

Factors used: league row FSL. Park (home-season share, regressed): HR 88, 1B 102, 2B 102, 3B 80, K 107, BB 104 — applied at half strength. Age: age 18 vs a level average of 22.8 → +5.0% on BB/HBP/hit rates (4.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .382 → .352; ISO .125 → .124; BABIP .346 → .318. 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).

2018 ROKPrinceton Rays · 273 PAwOBA .426 → .348 (−78)K% 7.0% → 9.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.96%	÷1.000	×1.420	—	—	9.88%
BB% (unintentional) /PA	9.52%	÷1.000	×0.640	—	×1.038	6.32%
HBP% /PA	0.73%	—	×0.740	—	×1.038	0.56%
Singles /BIP	25.56%	÷1.000	×0.840	×0.990	×1.038	22.06%
Doubles /BIP	4.48%	÷1.000	×0.740	×0.990	×1.038	3.41%
Triples /BIP	3.14%	÷1.000	×0.740	×0.990	×1.038	2.39%
Home runs /BIP	4.93%	÷1.000	×0.800	—	×1.038	4.09%

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 17 vs a level average of 19.5 → +3.8% on BB/HBP/hit rates (2.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .426 → .348; ISO .236 → .192; BABIP .346 → .288. 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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .