Franyerber Montilla

Franyerber MontillaSS Lakeland Flying Tigers

Age 21 S/R 6'0" / 160 lbs A HR -8% Svc 0.0 · Ctrl thru 2033

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 291 proj PA

wRC+†64

AVG/OBP/SLG.186 / .277 / .287

PA25

HR0

K%31

BB%10

ISO102

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$6M ctrl surplus

Tools · ContractCON 44 / POW 41

Toolsscout grade

CONTACT44

scouting grade only

POWER41

scouting grade only

EYE60

scouting grade only

SPEED56

scouting grade only

DEFENSE58

scouting grade only

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.2	$0.7M	+$0.0M
2029	Pre-Arb	$0.8M	+0.4	$1M	+$0.7M
2030	Pre-Arb	$0.9M	+0.5	$1M	+$0.9M
2031	Arb-1	$3M	+0.5	$1M	+$0.0M (cut)
2032	Arb-2	$5M	+0.5	$1M	+$0.0M (cut)
2033	Arb-3	$6M	+0.5	$1M	+$0.0M (cut)
Totals		$3M		$7M	+$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. 2026 = actual YTD + projected ROS + total. 2027+ 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)
2022	17	ROK	DSL Tigers 1	—	216	176	37	8	4	3	38	62	1	11	6	210	353	352	706	142	304	29	18	325	106	+2	-0	—	—	+5	0.6
2023	18	ROK	DSL Tigers 1	—	127	107	30	6	1	3	17	22	3	11	5	280	394	439	833	159	329	17	13	376	140	+6	+0	—	—	+3	0.9
2024	19	A	Lakeland Flying Tigers	—	79	63	6	2	0	0	12	25	4	6	1	95	278	127	405	32	158	32	15	222	36	-6	+1	—	—	+2	-0.4
2024	19	ROK	FCL Tigers	—	216	172	47	12	0	6	38	40	3	24	7	273	411	448	859	174	320	19	18	384	146	+12	+2	—	—	+5	1.9
2025	20	A	Lakeland Flying Tigers	—	299	258	70	16	2	4	38	74	2	27	7	271	369	395	764	124	365	25	13	346	120	+7	+3	—	—	+6	1.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Tigers 1	—	216	191	24	5	2	2	23	90	1	11	6	126	223	204	427	79	224	42	11	204	24	-19	-0	—	—	+5	-1.5
2023	18	ROK MLE	DSL Tigers 1	—	127	114	22	4	1	3	10	32	3	11	5	193	276	325	600	132	244	25	8	262	63	-6	+0	—	—	+3	-0.3
2024	19	A MLE	Lakeland Flying Tigers	—	79	67	4	1	0	0	8	35	4	6	1	60	203	75	277	15	135	44	10	162	-4	-10	+1	—	—	+2	-0.7
2024	19	ROK MLE	FCL Tigers	—	216	188	37	9	0	5	23	58	3	24	7	197	294	324	619	128	243	27	11	271	70	-8	+2	—	—	+5	-0.1
2025	20	A MLE	Lakeland Flying Tigers	—	299	266	54	13	1	4	30	105	2	27	7	203	289	305	593	102	315	35	10	266	66	-12	+3	—	—	+6	-0.3
2022	17	ROK MLE	DSL Tigers 1	—	216	191	24	5	2	2	23	90	1	11	6	126	223	204	427	79	220	42	11	204	24	—	—	—	—	—	—
2022	17	ROK RAW	DSL Tigers 1	—	216	176	37	8	4	3	38	62	1	11	6	210	353	352	706	142	304	29	18	325	24	—	—	—	—	—	—
2023	18	ROK MLE	DSL Tigers 1	—	127	114	22	4	1	3	10	32	3	11	5	193	276	325	600	132	241	25	8	262	63	—	—	—	—	—	—
2023	18	ROK RAW	DSL Tigers 1	—	127	107	30	6	1	3	17	22	3	11	5	280	394	439	833	159	329	17	13	376	63	—	—	—	—	—	—
2024	19	ROK MLE	2 teams	—	295	255	41	10	0	5	31	93	7	30	8	161	270	259	528	98	226	32	11	242	50	—	—	—	—	—	—
2024	19	ROK RAW	2 teams	—	295	235	53	14	0	6	50	65	7	30	8	226	375	362	737	136	283	22	17	340	50	—	—	—	—	—	—
2025	20	A MLE	Lakeland Flying Tigers	—	299	266	54	13	1	4	30	105	2	27	7	203	289	305	593	102	316	35	10	266	66	—	—	—	—	—	—
2025	20	A RAW	Lakeland Flying Tigers	—	299	258	70	16	2	4	38	74	2	27	7	271	369	395	764	124	365	25	13	346	66	—	—	—	—	—	—
2022	17	ROK MLE	DSL Tigers 1	—	216	190	24	5	2	2	23	90	1	11	6	126	223	205	429	79	224	42	11	204	24	—	—	—	—	—	—
2023	18	ROK MLE	DSL Tigers 1	—	127	113	22	4	1	3	10	32	3	11	5	195	276	327	603	133	244	25	8	262	63	—	—	—	—	—	—
2024	19	ROK MLE	2 teams	—	295	255	41	10	0	5	31	93	7	30	8	161	270	259	528	98	214	32	11	242	50	—	—	—	—	—	—
2025	20	A MLE	Lakeland Flying Tigers	—	299	265	54	13	1	4	30	105	2	27	7	204	289	306	594	102	315	35	10	266	66	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	DSL Tigers 1	—	127	113	22	4	1	3	10	32	3	11	5	195	276	327	603	133	244	25	8	262	63	—	—	—	—	—	—
2024	19	ROK MLE	2 teams	—	295	255	41	10	0	5	31	93	7	30	8	161	270	259	528	98	214	32	11	242	50	—	—	—	—	—	—
2025	20	A MLE	Lakeland Flying Tigers	—	299	265	54	13	1	4	30	105	2	27	7	204	289	306	594	102	315	35	10	266	66	—	—	—	—	—	—
▸ 2026 season
2026	21	MLB MLE	DET	0%	25	23	4	1	0	0	2	8	0	1	0	174	240	217	457	43	265	32	8	262	64	-1	+0	+0	+0	+1	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	DET	34%	347	305	60	13	1	7	35	102	4	14	4	197	288	315	603	118	269	29	10	274	72	-12	+1	+1	+4	+8	0.2
2028	23	MLB MLE	DET	48%	424	374	76	17	1	9	42	122	5	17	5	203	292	326	618	123	271	29	10	282	77	-12	+1	+1	+5	+9	0.5
2029	24	MLB MLE	DET	53%	476	420	88	19	2	11	47	134	6	20	5	210	298	343	641	133	273	28	10	287	80	-11	+2	+1	+5	+10	0.8
2030	25	MLB MLE	DET	55%	504	443	93	20	2	12	50	141	6	21	6	210	299	345	644	135	274	28	10	289	82	-11	+2	+1	+5	+11	0.9
2031	26	MLB MLE	DET	56%	519	456	95	20	2	12	52	145	6	21	6	208	298	340	638	132	274	28	10	290	82	-11	+2	+1	+6	+11	0.9
2032	27	MLB MLE	DET	55%	524	460	96	21	2	12	53	146	6	22	6	209	299	341	640	133	274	28	10	290	82	-11	+2	+1	+6	+11	1.0
2033	28	MLB MLE	DET	55%	522	458	95	20	2	12	53	147	6	20	6	207	298	338	636	131	273	28	10	289	82	-11	+2	+1	+6	+11	0.8
2034	29	MLB MLE	DET	53%	515	451	94	20	2	12	53	146	6	19	5	208	300	341	641	133	273	28	10	287	81	-12	+2	-0	+6	+11	0.7
2035	30	MLB MLE	DET	53%	505	442	90	19	2	11	52	144	6	17	5	204	296	330	626	127	272	29	10	285	79	-13	+1	-1	+5	+11	0.4
2036	31	MLB MLE	DET	52%	492	432	86	19	1	10	51	142	6	14	4	199	292	317	610	118	269	29	10	281	76	-14	+1	-1	+5	+11	0.2
2037	32	MLB MLE	DET	56%	474	417	82	17	1	10	49	139	5	11	3	197	289	314	603	118	266	29	10	276	73	-15	+1	-2	+5	+10	-0.1
2027	22	MLB CTX	DET	34%	119	105	19	4	0	2	12	35	1	5	1	181	271	276	547	95	264	29	10	261	72	-4	+1	+0	+1	+3	0.1
2028	23	MLB CTX	DET	48%	205	181	36	8	1	4	20	59	2	8	2	199	286	320	606	122	267	29	10	268	77	-6	+1	+1	+2	+4	0.2
2029	24	MLB CTX	DET	53%	251	221	45	10	1	5	25	71	3	10	3	204	293	326	619	122	268	28	10	273	80	-6	+1	+1	+3	+5	0.4
2030	25	MLB CTX	DET	55%	276	243	50	11	1	6	28	77	3	11	3	206	296	333	629	128	269	28	10	275	82	-6	+1	+1	+3	+6	0.5
2031	26	MLB CTX	DET	56%	289	255	51	11	1	6	29	81	3	12	3	200	289	322	611	122	269	28	10	276	82	-6	+1	+1	+3	+6	0.5
2032	27	MLB CTX	DET	55%	288	254	51	11	1	6	29	80	3	12	3	201	290	323	613	122	269	28	10	276	82	-6	+1	+1	+3	+6	0.5
2033	28	MLB CTX	DET	55%	285	251	51	11	1	6	29	80	3	11	3	203	293	327	620	124	268	28	10	275	82	-6	+1	+0	+3	+6	0.5
2034	29	MLB CTX	DET	53%	275	242	49	10	1	6	28	78	3	10	3	202	293	326	619	124	268	28	10	274	81	-6	+1	-0	+3	+6	0.3
2035	30	MLB CTX	DET	53%	265	233	47	10	1	6	27	76	3	9	2	202	293	330	623	129	267	29	10	271	79	-7	+1	-0	+3	+6	0.3
2036	31	MLB CTX	DET	52%	256	225	44	9	1	5	26	74	3	7	2	196	287	311	599	116	265	29	10	268	76	-7	+1	-1	+3	+6	0.1
2037	32	MLB CTX	DET	56%	266	234	45	9	1	5	27	78	3	6	2	192	284	303	588	111	261	29	10	263	73	-9	+0	-1	+3	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2775	2444	488	104	10	57	280	789	30	101	27	200	290	320	610	121	268	28	10	272	75	-69	+9	+2	+30	+60	3.3
/ 162G	—	A+C		—	650	572	113	24	2	13	66	185	7	24	6	198	288	315	603	117	265	28	10	272	75	-16	+2	+0	+7	+14	0.8
Career	—	MLE		—	6264	5507	1100	238	22	132	633	1836	75	276	81	200	291	323	614	123	271	29	10	279	75	-134	+17	+4	+57	+115	6.1
/ 162G	—	MLE		—	650	571	114	25	2	14	66	191	8	29	8	200	291	324	615	124	271	29	10	279	75	-16	+2	+0	+7	+14	0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#2Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#3Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#4Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#5Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.6	3,067	66	114	204	292	329	+33	+23	4.6	4.2
/162	664	14	25	+7.1	+5.0	1.0	pk7: 4
#6Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	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
Franyerber Montilla (OGILVIE)	21	30→44	35→41	55→56	60	186/277/287	101	265	4	12	31%	10%	64	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Samad Taylor 2019 · A	21	38→48	41→45	54→65	45	190/253/296	106	249	8	22	26%	7%	55	-1.9	192/267/308	116	292	10	25	35%	8%	63	-1.3	235/311/365	130	323	13	46	29%	9%	92	+0.4
✕Brainer Bonaci 2023 · A	21	43→44	40→45	55→50	50	207/291/305	98	286	7	16	28%	10%	72	-0.7	224/282/341	117	311	12	11	30%	7%	76	-0.4	229/272/354	124	311	15	8	31%	6%	72	-0.4
✕Dalton Pompey 2013 · A	20	40→50	40→45	55	44	197/265/289	92	278	8	16	30%	8%	58	-1.7	238/299/342	104	319	7	24	25%	8%	82	+0.0	258/316/357	98	327	7	29	22%	7%	89	+0.4
✕Roman Quinn 2014 · A	21	43→53	42→45	56→65	41	213/270/315	102	287	10	26	29%	6%	65	-1.2	239/297/338	99	321	8	33	26%	7%	80	-0.1	245/301/378	133	333	11	48	28%	7%	89	+0.2
✕Jared Serna 2023 · A	21	41→48	43→45	54→50	49	203/292/313	110	263	10	21	26%	9%	75	-0.5	220/278/337	117	273	11	15	23%	6%	74	-0.6	216/272/322	106	264	10	16	22%	6%	65	-1.1
✕Hoy Park 2017 · A	21	40→49	38→45	59→55	46	192/267/282	90	275	4	17	30%	8%	57	-1.8	216/291/301	85	288	6	17	25%	9%	70	-0.8	228/317/324	96	297	8	17	24%	11%	83	+0.0
✕Geraldo Quintero 2023 · A	21	44→46	41→40	55→60	45	214/280/320	106	278	7	20	25%	7%	70	-0.8	213/281/300	87	282	6	26	25%	7%	66	-1.1	204/276/285	81	269	7	32	25%	8%	59	-1.1
✕Christian Cairo 2022 · A	21	40→46	40	53→60	46	188/283/278	90	291	7	16	35%	10%	63	-1.3	193/292/274	81	290	6	18	32%	11%	66	-1.1	205/292/276	72	294	4	31	28%	9%	64	-0.8
✕Blake Perkins 2018 · A	21	44→51	40→50	51→55	44	213/273/305	91	288	7	15	28%	7%	64	-1.3	202/271/287	85	292	7	17	31%	8%	59	-1.6	226/309/352	126	299	12	25	27%	10%	87	+0.3
✕Hayden Cantrelle 2022 · AA	23	34	41→40	54→60	55	164/295/260	96	258	8	24	35%	14%	66	-1.1	190/306/293	103	293	8	20	33%	12%	76	-0.4	190/308/293	103	292	8	21	33%	12%	74	-0.3
✕Wilmer Difo 2014 · A	22	43→53	38→45	53→55	49	207/273/288	81	260	5	18	22%	8%	61	-1.5	248/285/355	107	297	9	24	19%	4%	80	-0.2	238/302/342	104	297	8	11	22%	8%	78	-0.2
✕Lucius Fox 2017 · A	20	40→49	38→40	55→60	43	193/256/270	77	275	5	20	30%	7%	50	-2.3	211/278/280	69	305	4	22	30%	7%	60	-1.6	189/252/269	80	275	7	24	32%	7%	45	-1.0
✕Jeter Downs 2019 · A	21	41→40	43→50	52→55	43	204/269/311	107	264	11	18	26%	6%	65	-1.2	205/270/351	146	270	17	18	29%	7%	75	-0.5	171/263/306	134	238	15	26	33%	8%	61	-0.7
✕Jorge Barrosa 2022 · A	21	46→49	41→45	52→55	41	221/276/320	98	289	8	21	26%	5%	69	-0.9	224/291/342	118	277	10	18	22%	8%	80	-0.2	219/291/339	121	266	11	18	21%	9%	76	-0.3
✕Jonatan Clase 2022 · A	20	44→46	40→50	59→65	45	210/283/306	96	307	7	26	32%	8%	69	-0.9	205/280/349	144	302	15	39	34%	9%	78	-0.3	202/277/349	146	289	15	47	33%	8%	74	-0.5
✕Riley Unroe 2017 · A	21	41→48	36→45	46→55	43	195/257/255	61	273	4	12	29%	7%	47	-2.6	200/267/276	76	287	5	12	30%	8%	55	-1.9	221/306/334	113	298	11	26	27%	10%	81	-0.0
✕Johan Rojas 2022 · A	21	45→55	43→45	55→65	42	220/273/337	117	280	10	22	25%	6%	72	-0.7	233/277/339	106	293	8	37	23%	5%	73	-0.6	254/296/351	97	318	7	41	21%	5%	80	-0.1
✕Tyler Goeddel 2014 · A	21	43→51	40→45	59→55	40	207/258/309	101	292	7	20	30%	6%	59	-1.7	225/281/337	112	302	8	18	27%	6%	74	-0.5	227/288/340	113	297	9	18	25%	7%	75	-0.3
✕Brenny Escanio 2023 · A	20	37→36	41→40	52→55	47	181/270/284	103	266	8	16	33%	10%	60	-1.6	181/257/248	67	296	3	15	36%	9%	46	-2.6	169/248/225	55	281	3	17	37%	9%	35	-1.8
✕Daz Cameron 2018 · A	21	40→45	45→50	53→55	40	202/262/329	127	284	11	19	32%	6%	66	-1.1	201/268/318	117	295	9	17	33%	7%	66	-1.1	225/296/393	168	284	19	27	27%	8%	91	+0.3

Career Stats + Projections

Career Comps

Career Path Comps