Nomar Fana — OGILVIE

Nomar FanaLF Lakeland Flying Tigers

Age 23 S/R 5'10" / 175 lbs A HR -8% Svc 0.0 · Ctrl thru 2036

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 240 proj PA

wRC+†41

AVG/OBP/SLG.159 / .245 / .268

PA240

HR5

SB5

K%35

BB%9

ISO110

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 25 / POW 50

Toolsscout grade

CONTACT25

scouting grade only

POWER50

scouting grade only

EYE62

scouting grade only

SPEED57

scouting grade only

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	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$0.0M

Career Stats + Projections

Viewactual = stats as recorded (prior seasons combined) + projected real-world MLB lines · MLE = level/park-neutral translations

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
2021	18	ROK	DSL Tigers	—	121	112	17	5	0	1	8	40	0	5	2	152	208	223	432	71	222	33	7	193	6	—	—	—	—	—	—
2021	18	ROK	DSL Tigers	—	121	107	25	8	0	1	13	28	0	5	2	234	317	336	653	103	304	23	11	297	85	—	—	—	—	—	—
2022	19	ROK	DSL Tigers 1	—	167	151	25	7	1	2	14	72	1	8	5	166	241	265	506	99	295	43	8	222	28	—	—	—	—	—	—
2022	19	ROK	DSL Tigers 1	—	167	140	36	11	1	3	25	49	1	8	5	257	373	414	788	157	371	29	15	354	129	—	—	—	—	—	—
2023	20	ROK	FCL Tigers	—	104	92	17	1	0	2	10	35	1	5	1	185	272	261	533	76	268	34	10	238	40	—	—	—	—	—	—
2023	20	ROK	FCL Tigers	—	104	87	22	2	0	2	15	23	1	5	1	253	369	345	714	92	317	22	14	329	110	—	—	—	—	—	—
2024	21	ROK	2 teams	—	312	278	50	9	1	10	31	117	1	17	4	180	265	327	592	147	261	38	10	266	62	—	—	—	—	—	—
2024	21	ROK	2 teams	—	312	255	68	15	2	13	53	82	1	17	4	267	394	494	888	227	340	26	17	390	157	—	—	—	—	—	—
2025	22	A	2 teams	—	253	218	30	4	1	4	27	114	3	11	3	138	242	220	462	83	250	45	11	209	18	—	—	—	—	—	—
2025	22	A	2 teams	—	253	207	36	5	1	4	38	80	3	11	3	174	310	266	576	92	252	32	15	271	66	—	—	—	—	—	—
▸ 2026 Season
2026	23	MLB	DET	—	240	213	34	6	1	5	23	85	2	5	1	160	248	268	516	108	232	35	10	238	41	-16	+1	+0	-3	+7	-1.2
▸ 2027+ Projections WITH CONTEXT · MLB TIME ONLY ⓘPARK-NEUTRAL MLE · ALL-LEVEL PT ⓘ
2027	24	MLB	DET	30%	288	257	44	8	1	7	27	98	2	6	1	171	255	292	547	121	240	34	9	252	51	-16	+1	+0	-3	+8	-1.0
2028	25	MLB	DET	44%	356	316	56	11	1	9	34	117	3	7	2	177	263	304	567	127	245	33	10	261	58	-17	+1	+0	-4	+10	-1.0
2027	24	MLB	DET	30%	87	78	12	2	0	2	8	30	1	2	0	154	241	256	498	103	236	34	9	242	43	-6	+0	+0	-1	+2	-0.4
2028	25	MLB	DET	44%	157	140	25	5	1	4	15	52	1	3	1	179	263	314	577	136	241	33	10	250	49	-9	+0	+0	-2	+4	-0.6
▸ Career Totals
Career	—			—	244	218	37	7	1	6	23	82	2	5	1	170	255	294	549	124	237	34	9	247	47	-15	+1	+0	-3	+7	-1.0
/ 162G	—			—	650	581	99	19	3	16	61	218	5	13	3	170	255	296	551	126	237	34	9	247	47	-39	+1	+0	-7	+18	-2.6
Career	—			—	1841	1637	273	51	6	40	174	678	13	64	19	167	252	279	531	112	250	37	9	241	43	-119	+5	+0	-20	+52	-8.3
/ 162G	—			—	650	578	96	18	2	14	61	239	5	23	7	166	252	277	528	111	248	37	9	241	43	-42	+2	+0	-7	+18	-2.9

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	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
2021	18	ROK	DSL Tigers	—	121	107	25	8	0	1	13	28	0	5	2	234	317	336	653	103	304	23	11	297	85	-2	+0	—	—	+3	0.2
2022	19	ROK	DSL Tigers 1	—	167	140	36	11	1	3	25	49	1	8	5	257	373	414	788	157	371	29	15	354	129	+6	-0	—	—	+5	1.0
2023	20	ROK	FCL Tigers	—	104	87	22	2	0	2	15	23	1	5	1	253	369	345	714	92	317	22	14	329	110	+1	+1	—	—	+3	0.5
2024	21	A	Lakeland Flying Tigers	—	84	73	15	7	1	3	9	25	0	2	0	205	293	452	745	247	255	30	11	318	102	+0	+0	—	—	+2	0.3
2024	21	ROK	FCL Tigers	—	228	182	53	8	1	10	44	57	1	15	4	291	430	511	941	220	374	25	19	416	177	+20	+1	—	—	+6	2.8
2025	22	A	Lakeland Flying Tigers	—	128	113	14	3	0	2	14	53	0	4	0	124	220	204	424	80	203	41	11	203	13	-13	+1	—	—	+4	-0.8
2025	22	ROK	FCL Tigers	—	125	94	22	2	1	2	24	27	3	7	3	234	405	340	745	106	294	22	19	341	119	+3	+0	—	—	+4	0.7

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Top row of each card is career totals; bottom row is per-162-game rates. Pool: 727 completed hitter careers (2000-2024).

PLAYER · career totals + /162 games	YRS	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	6	1,540	30	47	225	280	350	+4	+33	4.2	4.2
#1Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	/162	664	13	20	225	280	350	+1.8	+14.4	1.8	pk7: 4
#2Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	9	1,756	47	16	227	293	367	+6	+8	3.0	3.5
	/162	664	18	6	227	293	367	+2.4	+3.0	1.1	pk7: 4
#3Juan Castrolast yr '10 career totals — 11 seasons, 2,352 PA	11	2,352	34	4	237	273	341	+10	+21	1.0	2.7
	/162	664	10	1	237	273	341	+3.0	+5.8	0.3	pk7: 4
#4Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	7	1,680	22	6	230	279	335	+9	+21	2.0	2.0
#4Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	/162	664	9	2	230	279	335	+3.7	+8.5	0.8	pk7: 2
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	6	1,633	40	33	232	299	363	+6	-14	0.9	0.9
	/162	664	16	13	232	299	363	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	2	484	11	9	169	252	288	-5	-2	-1.9	-1.0
	/162	664	16	13	169	252	288	-7.1	-2.7	-2.7	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	7	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
	/162	664	7	14	231	275	323	+4.9	-2.1	-0.4	pk7: -1

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
Nomar Fana (OGILVIE)	23	20→25	45→50	52→57	62	159/245/268	109	232	5	5	35%	9%	41	-0.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Stefan Sabol 2015 · A	23	33→40	45	50	42	174/243/297	123	259	12	12	36%	8%	46	-2.0	194/263/293	99	307	9	9	37%	8%	53	-1.5	188/261/274	87	300	8	7	37%	8%	45	-1.2
✕Cam Gibson 2017 · A	23	36→41	43→45	53→55	40	184/244/291	108	267	11	17	34%	7%	44	-2.1	196/257/315	119	271	11	17	30%	7%	56	-1.3	191/254/304	113	261	10	19	29%	7%	49	-1.4
✕Zavier Warren 2023 · AA	24	36→39	46→45	52→45	45	188/258/312	125	244	14	7	29%	8%	56	-1.3	189/256/304	115	265	13	7	32%	8%	53	-1.5	177/246/282	105	254	12	7	33%	8%	42	-1.6
✕Joe Gray Jr. 2023 · A	23	29→33	47→45	55→50	37	160/236/295	134	264	15	14	43%	8%	43	-2.2	171/228/267	96	273	10	13	39%	6%	31	-3.0	165/208/246	82	252	9	14	38%	4%	15	-3.3
✕Jeff Flagg 2009 · A	23	38	44→45	54→40	43	194/261/311	117	269	11	10	31%	8%	57	-1.2	195/249/303	108	324	11	6	40%	6%	49	-1.8	178/229/283	104	304	12	3	43%	6%	33	-1.0
✕Chase Simpson 2016 · A	24	41→37	42→45	51→45	45	199/269/307	108	284	9	6	32%	8%	59	-1.1	190/254/306	116	279	10	6	34%	7%	53	-1.5	164/230/284	120	238	10	3	34%	7%	34	-1.1
✕Oliver Dominguez 2012 · A	23	40	40	52→45	48	194/269/288	94	262	8	15	28%	9%	54	-1.4	194/256/291	97	283	8	8	32%	7%	49	-1.8	176/234/268	92	260	7	3	34%	7%	31	-1.1
✕Jose Acosta 2023 · A	23	37	46→45	49→55	36	188/247/315	127	295	14	16	40%	6%	52	-1.6	188/242/296	108	280	11	17	35%	6%	44	-2.1	162/209/252	91	232	8	22	33%	5%	16	-1.1
✕Lance Ray 2013 · A	23	37	45	45	45	191/261/313	122	256	13	6	30%	8%	58	-1.2	198/263/314	116	276	10	6	30%	7%	59	-1.1	148/219/198	51	212	4	5	30%	8%	7	-1.0
✕Brandon Dulin 2016 · A	23	37→30	44→45	49→40	36	191/241/311	120	263	12	5	32%	4%	48	-1.9	200/250/321	121	284	15	3	34%	5%	55	-1.4	189/240/311	122	264	17	0	35%	5%	45	-1.3
✕Evan Chambers 2012 · A	23	36→37	42→40	47→50	47	183/270/286	104	259	10	17	32%	9%	56	-1.3	179/260/257	78	296	6	13	38%	9%	43	-2.2	138/227/178	40	255	2	14	42%	10%	9	-2.6
✕Kevonte Mitchell 2019 · A	23	37→38	43→45	48→50	37	190/241/302	112	274	11	10	34%	6%	46	-2.0	195/252/322	127	288	15	8	36%	6%	56	-1.3	171/232/305	134	240	19	7	37%	6%	42	-1.5
✕Taylor Snyder 2018 · A	23	35→31	43→50	47→50	33	181/224/287	106	270	10	13	36%	4%	34	-2.8	185/234/295	110	296	11	12	39%	5%	40	-2.4	179/230/328	148	260	18	12	38%	5%	47	-1.3
✕Nicholas Romero 2010 · A	23	40→42	41→40	50→45	46	198/272/295	97	268	9	6	28%	8%	58	-1.2	190/254/275	85	268	5	6	29%	7%	44	-2.1	176/239/256	80	250	4	4	29%	7%	32	-2.3
✕Connor Blair 2022 · A	24	37	39→45	48→45	45	178/255/258	80	271	7	11	34%	9%	40	-2.4	199/285/312	113	313	12	8	37%	9%	68	-0.5	163/272/277	114	257	15	5	39%	11%	52	-0.5
✕Jacob Schrader 2014 · A	23	37→35	45→50	50→30	36	187/243/307	120	283	12	5	37%	6%	48	-1.9	208/252/347	139	297	16	3	34%	4%	62	-0.9	200/242/338	138	283	16	2	35%	4%	52	-1.0
✕Michael Toglia 2022 · AA	23	37→34	47→55	49→45	41	190/260/325	135	291	15	9	38%	8%	61	-1.0	189/263/347	158	268	20	7	36%	9%	68	-0.5	189/268/367	178	253	24	7	34%	9%	71	-0.2
✕Caleb Hamilton 2018 · A	23	35	42→45	43→45	47	171/267/278	106	270	9	5	37%	11%	52	-1.6	184/252/283	99	267	8	7	32%	8%	46	-2.0	145/239/282	137	205	21	3	40%	10%	39	-0.8
✕Tyler Frost 2019 · A	23	36→32	47→50	48→50	38	189/248/323	134	278	14	6	36%	7%	55	-1.4	185/241/292	107	322	11	8	43%	6%	43	-2.2	157/213/246	90	292	9	9	47%	5%	18	-3.1
✕Nick Quintana 2022 · A	24	33→39	43→45	47→45	45	172/254/283	111	243	11	6	33%	9%	47	-1.9	188/273/293	105	265	11	5	31%	9%	58	-1.2	172/265/268	95	240	10	3	30%	10%	45	-1.0