Franyerber Montilla

Franyerber MontillaSS Lakeland Flying Tigers

Age 21 S/R 6'0" / 160 lbs A HR +5%H +3% Svc 0.0 · Ctrl thru 2036 peak 2.0 · 2031

wRC+†70

AVG/OBP/SLG.199 / .287 / .314

PA291

HR5

SB10

K%32

BB%10

MLB%0%

Scouting · now → future

HIT

30↗44

PWR

35↗41

SPD

55↗56

FLD

45↗58

EYE

57↗60

trajectory · 10 yrs

1.9peak

2031

Contract

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Arb-3	$0.9M	+2.0	$19M	+$18M
2032	Ext / FA-deal	$0.9M	+2.0	$19M	+$18M
2033	Ext / FA-deal	$1.0M	+1.9	$19M	+$18M
2034	Ext / FA-deal	$4M	+1.7	$17M	+$14M
2035	Ext / FA-deal	$5M	+1.5	$16M	+$11M
2036	Ext / FA-deal	$6M	+1.2	$13M	+$7M
Totals		$17M		$102M	+$85M

Career Projections (MLE)

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	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
2022	17	ROK	DSL Tigers 1	216	191	24	5	2	2	23	90	1	11	6	.126	.223	.204	.427	.079	.220	42	11	.203	14	-21	-0	+0	+2	+6	-1.3
2023	18	ROK	DSL Tigers 1	127	114	23	5	1	3	10	32	3	11	5	.202	.283	.342	.626	.140	.253	25	8	.271	66	-5	+0	+0	+1	+4	0.0
2024	19	ROK	2 teams	295	255	41	10	0	5	31	93	7	30	8	.161	.270	.259	.528	.098	.226	32	11	.243	44	-19	+3	+0	+3	+8	-0.4
2025	20	A	Lakeland Flying Tigers	299	266	54	13	1	4	30	105	2	27	7	.203	.289	.305	.593	.102	.316	35	10	.264	60	-13	+3	+0	+3	+8	0.1
▸ 2026 Season
2026	21	MLB	DET	291	257	51	12	1	5	28	93	4	10	3	.198	.287	.311	.598	.113	.286	32	10	.277	70	-10	+1	+1	+3	+8	0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 11%	DET	347	305	64	14	1	8	35	105	4	12	3	.210	.299	.341	.640	.131	.287	30	10	.290	80	-8	+1	+1	+4	+10	0.8
2028	23	MLB 28%	DET	424	372	79	17	1	10	44	124	5	13	3	.212	.304	.344	.648	.132	.288	29	10	.298	86	-7	+1	+1	+5	+12	1.3
2029	24	MLB 45%	DET	476	417	90	19	2	12	50	136	6	14	4	.216	.309	.357	.666	.141	.289	29	11	.303	90	-5	+1	+1	+5	+13	1.6
2030	25	MLB 60%	DET	504	439	97	21	2	13	54	142	6	14	3	.221	.315	.367	.681	.146	.290	28	11	.307	93	-4	+2	+1	+5	+14	1.9
2031	26	MLB 77%	DET	519	451	100	21	2	14	56	147	7	14	3	.222	.317	.370	.687	.149	.290	28	11	.309	94	-3	+2	+1	+6	+15	2.0
2032	27	MLB 92%	DET	524	454	100	21	2	14	58	149	7	13	3	.220	.318	.368	.686	.148	.290	28	11	.309	95	-3	+1	+1	+6	+15	2.0
2033	28	MLB	DET	522	452	100	21	2	14	58	149	7	12	3	.221	.319	.369	.689	.148	.290	29	11	.308	94	-4	+1	+1	+6	+15	1.9
2034	29	MLB	DET	515	447	98	21	2	14	57	148	6	11	2	.219	.316	.369	.685	.150	.289	29	11	.306	92	-5	+1	-0	+6	+15	1.7
2035	30	MLB	DET	505	438	94	20	1	13	56	147	6	10	2	.215	.312	.354	.666	.139	.287	29	11	.302	90	-6	+1	-1	+5	+14	1.5
2036	31	MLB	DET	492	428	90	19	1	12	55	146	6	9	1	.210	.309	.343	.652	.133	.286	30	11	.299	87	-7	+1	-1	+5	+14	1.2
2037	32	MLB	DET	474	412	85	18	1	11	53	143	6	7	1	.206	.306	.335	.641	.129	.284	30	11	.294	83	-9	+1	-2	+5	+13	0.8
2038	33	MLB	DET	445	388	79	17	1	10	49	137	5	7	0	.204	.301	.330	.631	.126	.282	31	11	.289	79	-11	+1	-3	+5	+13	0.5
2039	34	MLB	DET	399	347	69	14	1	9	44	126	5	6	0	.199	.298	.323	.621	.124	.280	32	11	.282	74	-12	+1	-4	+4	+11	0.1
2040	35	MLB	DET	346	301	58	12	1	7	38	113	4	5	0	.193	.292	.309	.601	.116	.278	33	11	.274	68	-12	+1	-5	+4	+10	-0.3
▸ Career Totals (MLE all levels + projections)
Career	—			7720	6734	1396	300	25	180	829	2325	97	236	57	.207	.303	.339	.643	.132	.285	30	11	.292	81	-163	+24	-7	+83	+219	15.9
/ 162G	—			650	567	117	25	2	15	70	196	8	20	5	.206	.302	.337	.639	.131	.284	30	11	.292	81	-14	+2	-1	+7	+18	1.3

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
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	107	+2	-0	—	—	+6	0.8
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	146	+7	+0	—	—	+4	1.1
2024	19	A	Lakeland Flying Tigers	79	63	6	2	0	0	12	25	4	6	1	.095	.278	.127	.405	.032	.158	32	15	.222	28	-6	+1	—	—	+2	-0.3
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	152	+13	+2	—	—	+6	2.1
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	123	+8	+3	—	—	+8	1.9

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	.199/.287/.314	.115	.286	5	10	32%	10%	70	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Roman Quinn 2014 · A	21	42→52	43→45	56→65	40	.210/.265/.316	.105	.279	11	25	28%	6%	59	-1.1	.236/.295/.337	.101	.319	9	33	27%	6%	77	+0.1	.253/.313/.351	.098	.343	7	42	26%	7%	84	+0.4
✕Dalton Pompey 2014 · A	21	44→54	40→45	57→55	46	.212/.280/.309	.097	.289	6	21	28%	8%	63	-0.8	.250/.309/.355	.105	.324	7	26	23%	7%	87	+0.8	.260/.318/.360	.100	.329	7	29	22%	7%	88	+0.8
✕Brainer Bonaci 2023 · A	21	44→45	40→45	55→50	50	.208/.290/.307	.098	.287	7	16	28%	10%	68	-0.5	.222/.281/.341	.119	.304	12	11	29%	7%	72	-0.2	.227/.267/.356	.130	.303	16	8	30%	5%	67	-0.3
✕Carlos Jimenez 2023 · A	20	38→41	46→50	53→55	45	.189/.278/.319	.129	.289	14	15	37%	10%	67	-0.5	.210/.289/.331	.121	.326	12	16	36%	9%	74	-0.1	.216/.296/.349	.133	.314	15	19	33%	9%	78	+0.1
✕Jakob Marsee 2023 · A	22	45→47	43→45	57→60	53	.214/.313/.328	.115	.295	9	20	28%	11%	84	+0.6	.215/.314/.338	.123	.272	13	32	24%	11%	87	+0.8	.209/.308/.338	.130	.260	14	40	24%	11%	81	+0.5
●Leo Rivas 2019 · A	21	44→54	37→40	52→65	51	.204/.293/.279	.075	.289	4	14	28%	10%	62	-0.9	.196/.276/.281	.085	.293	6	9	32%	9%	56	-1.3	.238/.354/.331	.093	.320	9	44	25%	14%	100	+1.2
✕Jared Serna 2023 · A	21	42→48	42→50	54→50	49	.203/.293/.309	.106	.264	9	21	25%	9%	70	-0.3	.218/.276/.338	.120	.270	12	16	23%	6%	70	-0.3	.211/.267/.320	.108	.258	11	16	22%	6%	58	-1.0
✕Samad Taylor 2019 · A	21	39→49	41→50	54→65	45	.193/.257/.297	.104	.249	7	21	25%	7%	51	-1.7	.189/.265/.305	.116	.284	10	24	35%	8%	57	-1.2	.236/.312/.377	.141	.324	16	46	30%	9%	94	+0.8
✕Blake Perkins 2018 · A	21	42→52	40→50	51→55	43	.206/.261/.296	.090	.274	8	14	27%	6%	52	-1.6	.202/.269/.286	.084	.291	7	17	30%	8%	53	-1.5	.228/.311/.359	.130	.302	13	25	27%	10%	87	+0.5
✕Juan Brito 2022 · A	20	45→48	42→50	49→45	46	.222/.285/.324	.103	.281	10	12	24%	7%	70	-0.3	.230/.313/.368	.138	.279	13	9	21%	10%	94	+1.3	.226/.311/.371	.145	.266	15	9	20%	10%	91	+1.0
✕Geraldo Quintero 2023 · A	21	44→45	41→40	55→60	45	.210/.275/.315	.105	.273	7	20	25%	7%	63	-0.8	.209/.273/.297	.088	.277	7	26	25%	7%	58	-1.2	.198/.268/.283	.085	.261	8	32	26%	7%	49	-1.2
✕Jason Taylor 2009 · A	21	43→40	45	52→55	51	.212/.298/.333	.121	.262	13	19	24%	10%	79	+0.3	.213/.277/.328	.115	.263	11	18	22%	7%	67	-0.5	.203/.251/.303	.099	.247	8	18	21%	6%	48	-0.6
✕Christian Cairo 2022 · A	21	39→47	40	52→60	45	.186/.279/.272	.086	.285	7	15	34%	9%	56	-1.3	.195/.294/.278	.083	.290	6	17	31%	11%	63	-0.8	.215/.301/.289	.073	.310	4	35	29%	9%	66	-0.3
✕Juan Matheus 2023 · A	19	42→46	41→40	50→55	53	.198/.304/.305	.107	.295	7	15	32%	12%	75	-0.0	.207/.301/.301	.094	.296	6	20	29%	11%	72	-0.2	.211/.291/.296	.085	.285	5	23	25%	9%	64	-0.5
●Colin Walsh 2011 · A	21	45→53	41→45	52→50	52	.215/.295/.312	.097	.270	8	10	22%	9%	72	-0.2	.225/.300/.348	.123	.272	11	8	20%	9%	82	+0.5	.212/.320/.332	.121	.306	11	7	31%	13%	85	+0.5
✕Maximo Rivera 2014 · A	21	45	40→45	53→60	43	.219/.272/.307	.089	.279	8	21	24%	6%	59	-1.1	.213/.262/.283	.070	.295	4	11	27%	6%	49	-1.8	.198/.239/.245	.047	.274	3	7	27%	5%	25	-0.9
✕Agustín Ramírez 2023 · A	21	43→45	45→55	50	43	.213/.273/.339	.126	.289	12	10	30%	7%	69	-0.4	.229/.292/.389	.160	.276	19	13	24%	8%	90	+1.0	.230/.293/.405	.176	.264	22	16	22%	7%	92	+1.1
●Luis Rengifo 2018 · A	21	45→55	41→50	53→55	43	.219/.269/.323	.104	.273	8	21	23%	6%	62	-0.9	.234/.301/.352	.118	.290	9	19	21%	8%	84	+0.6	.267/.318/.414	.147	.301	17	16	17%	6%	105	+1.6
✕Jose Lobatón 2006 · A	21	45	39→45	50→30	46	.215/.277/.302	.088	.284	6	8	25%	8%	60	-1.0	.215/.286/.335	.120	.300	12	3	30%	9%	73	-0.1	.241/.325/.370	.129	.305	12	0	23%	11%	94	+0.6
✕Johan Rojas 2022 · A	21	45→55	44→45	55→65	43	.221/.274/.341	.120	.281	11	21	25%	6%	69	-0.4	.232/.276/.342	.110	.293	9	36	23%	5%	70	-0.3	.258/.299/.360	.102	.324	7	41	22%	5%	80	+0.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)