Bernard Moon — OGILVIE

Bernard MoonSS Daytona Tortugas

Age 21 R/R 5'11" / 186 lbs A HR +16%BB +6% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION435 act + 10 ros · stats below = ROS only

showingROS

wRC+†68

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP270

ISO96

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$13M ctrl surplus

Tools · ContractCON 40 / POW 35

Toolsscout grade

CONTACT40

scouting grade only

POWER35

scouting grade only

EYE35

scouting grade only

SPEED50

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	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2032	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2033	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.5M
2034	Arb-1	$2M	+0.3	$0.7M	+$0.0M (cut)
2035	Arb-2	$3M	+0.3	$0.6M	+$0.0M (cut)
2036	Arb-3	$3M	+0.1	$0.2M	+$0.0M (cut)
Totals		$3M		$5M	+$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)
2023	18	ROK	ACL Reds	—	28	25	9	1	1	0	3	8	0	5	1	360	429	480	909	120	529	29	11	405	160	+2	+1	—	—	+1	0.3
2024	19	ROK	ACL Reds	—	197	161	49	9	1	2	18	50	16	6	6	304	426	410	836	106	427	25	9	381	144	+10	-1	—	—	+4	1.4
2025	20	A	Daytona Tortugas	—	451	390	92	24	3	7	39	90	13	17	9	236	326	367	692	131	285	20	9	309	95	-2	-0	—	—	+10	0.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	18	ROK MLE	ACL Reds	—	28	26	7	1	1	0	2	11	0	5	1	269	321	385	706	115	414	39	7	261	63	-1	+1	—	—	+1	-0.0
2024	19	ROK MLE	ACL Reds	—	197	168	37	5	1	1	11	73	16	6	6	220	328	280	608	60	357	37	6	270	69	-7	-1	—	—	+4	-0.4
2025	20	A MLE	Daytona Tortugas	—	451	398	80	20	2	6	31	127	13	17	9	201	281	307	587	106	264	28	7	259	61	-21	-0	—	—	+10	-1.1
2023	18	ROK MLE	ACL Reds	—	28	26	7	1	1	0	2	11	0	5	1	269	321	385	706	115	467	39	7	261	63	—	—	—	—	—	—
2023	18	ROK RAW	ACL Reds	—	28	25	9	1	1	0	3	8	0	5	1	360	429	480	909	120	529	29	11	405	63	—	—	—	—	—	—
2024	19	ROK MLE	ACL Reds	—	197	168	37	5	1	1	11	73	16	6	6	220	328	280	608	60	379	37	6	270	69	—	—	—	—	—	—
2024	19	ROK RAW	ACL Reds	—	197	161	49	9	1	2	18	50	16	6	6	304	426	410	836	106	427	25	9	381	69	—	—	—	—	—	—
2025	20	A MLE	Daytona Tortugas	—	451	398	80	20	2	6	31	127	13	17	9	201	281	307	587	106	274	28	7	259	61	—	—	—	—	—	—
2025	20	A RAW	Daytona Tortugas	—	451	390	92	24	3	7	39	90	13	17	9	236	326	367	692	131	285	20	9	309	61	—	—	—	—	—	—
2023	18	ROK MLE	ACL Reds	—	28	26	7	1	1	0	2	11	0	5	1	269	321	385	706	115	414	39	7	261	63	—	—	—	—	—	—
2024	19	ROK MLE	ACL Reds	—	197	168	37	5	1	1	11	73	16	6	6	220	328	280	608	60	357	37	6	270	69	—	—	—	—	—	—
2025	20	A MLE	Daytona Tortugas	—	451	404	80	20	2	6	31	127	13	17	9	198	281	302	583	104	264	28	7	259	61	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	ACL Reds	—	28	26	7	1	1	0	2	11	0	5	1	269	321	385	706	115	414	39	7	261	63	—	—	—	—	—	—
2024	19	ROK MLE	ACL Reds	—	197	168	37	5	1	1	11	73	16	6	6	220	328	280	608	60	357	37	6	270	69	—	—	—	—	—	—
2025	20	A MLE	Daytona Tortugas	—	451	404	80	20	2	6	31	127	13	17	9	198	281	302	583	104	264	28	7	259	61	—	—	—	—	—	—
YTD	21	A MLE	CIN	—	435	376	80	25	0	8	39	138	11	10	6	213	305	343	648	130	306	32	9	286	80	-11	-0	+0	+5	+9	0.3
▸ 2026 season
YTD	21	A RAW	CIN	—	435	363	92	28	0	10	52	97	11	10	6	253	364	413	777	160	314	22	12	345	80	—	—	—	—	—	—
ROS	21	A MLE	CIN	0%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		266	30	10	269	68	-0	+0	+0	+0	+0	-0.0
TOT	21	A MLE	CIN	—	445	385	81	25	0	8	40	141	11	10	6	210	303	338	640	127	303	32	9	286	79	-11	-0	+0	+5	+10	0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	CIN	34%	487	432	86	23	1	9	40	141	12	7	4	199	285	319	605	120	270	29	8	276	73	-16	-0	+0	+5	+11	-0.0
2028	23	MLB MLE	CIN	48%	526	464	95	25	1	11	44	148	13	8	4	205	292	334	626	129	272	28	8	285	79	-13	+0	+0	+6	+11	0.4
2029	24	MLB MLE	CIN	53%	568	501	105	27	1	13	49	157	13	9	5	210	297	345	642	136	274	28	9	290	82	-12	-0	+0	+6	+12	0.6
2030	25	MLB MLE	CIN	55%	594	524	111	28	1	14	51	162	14	9	5	212	299	349	648	137	274	27	9	293	85	-11	-0	+0	+6	+13	0.8
2031	26	MLB MLE	CIN	56%	601	530	111	28	1	14	52	164	14	9	5	209	297	345	642	136	274	27	9	294	85	-11	-0	+0	+6	+13	0.9
2032	27	MLB MLE	CIN	55%	601	529	111	28	1	14	53	164	14	9	5	210	299	346	645	136	274	27	9	294	85	-11	-0	+0	+6	+13	0.9
2033	28	MLB MLE	CIN	55%	596	524	110	28	1	14	53	164	14	9	5	210	299	347	647	137	274	28	9	293	85	-11	-0	-1	+6	+13	0.8
2034	29	MLB MLE	CIN	58%	586	514	108	27	1	14	53	162	14	8	4	210	301	348	649	138	273	28	9	292	84	-11	+0	-1	+6	+13	0.6
2035	30	MLB MLE	CIN	60%	575	505	104	26	1	13	52	161	13	7	4	206	296	339	635	133	272	28	9	289	82	-12	-0	-2	+6	+12	0.4
2036	31	MLB MLE	CIN	62%	561	493	100	25	1	12	50	158	13	6	3	203	293	331	624	128	270	28	9	285	79	-14	+0	-3	+6	+12	0.2
2037	32	MLB MLE	CIN	63%	542	477	95	24	1	11	48	155	12	5	3	199	289	323	611	124	267	29	9	280	76	-16	-0	-4	+6	+12	-0.2
2027	22	MLB CTX	CIN	34%	167	147	29	8	0	3	14	48	4	3	1	197	285	313	598	116	273	29	8	263	73	-5	+0	+0	+2	+4	0.0
2028	23	MLB CTX	CIN	48%	255	225	47	12	1	6	22	72	6	4	2	209	296	351	648	142	276	28	9	272	79	-6	+0	+0	+3	+6	0.2
2029	24	MLB CTX	CIN	53%	299	264	56	14	1	7	26	82	7	5	3	212	300	352	652	140	277	27	9	278	82	-6	-0	+0	+3	+6	0.3
2030	25	MLB CTX	CIN	55%	325	286	62	16	1	8	28	89	8	5	3	217	304	364	668	147	278	27	9	282	85	-6	-0	+0	+3	+7	0.4
2031	26	MLB CTX	CIN	56%	335	295	64	16	1	9	29	91	8	5	3	217	304	369	674	153	278	27	9	283	85	-6	-0	+0	+4	+7	0.5
2032	27	MLB CTX	CIN	55%	331	291	63	16	1	8	29	90	8	5	3	216	305	361	666	144	278	27	9	283	85	-6	-0	+0	+4	+7	0.5
2033	28	MLB CTX	CIN	55%	326	286	62	16	1	8	29	90	8	5	3	217	307	364	670	147	277	28	9	282	85	-6	-0	-0	+3	+7	0.4
2034	29	MLB CTX	CIN	58%	339	298	63	16	1	8	30	94	8	5	3	211	301	352	653	141	277	28	9	280	84	-7	-0	-1	+4	+7	0.3
2035	30	MLB CTX	CIN	60%	346	304	64	16	1	8	31	97	8	4	2	211	300	349	649	138	276	28	9	278	82	-7	+0	-1	+4	+7	0.3
2036	31	MLB CTX	CIN	62%	346	304	63	16	1	8	31	98	8	4	2	207	297	345	643	138	274	28	9	274	79	-9	+0	-2	+4	+7	0.1
2037	32	MLB CTX	CIN	63%	340	299	60	15	0	8	30	97	8	3	2	201	291	331	622	130	270	29	9	269	76	-10	-0	-2	+4	+7	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3409	2999	633	161	9	81	299	948	81	48	27	211	300	352	652	141	278	28	9	277	80	-74	-1	-6	+37	+74	2.9
/ 162G	—	A+C		—	650	572	121	31	2	15	57	181	15	9	5	212	300	351	651	140	279	28	9	277	80	-14	-0	-1	+7	+14	0.6
Career	—	MLE		—	6923	6094	1261	315	15	146	590	1950	175	114	63	207	295	335	631	128	276	28	9	286	80	-138	-2	-10	+67	+135	5.4
/ 162G	—	MLE		—	650	572	119	30	1	14	55	183	16	11	6	208	295	337	632	129	277	28	8	286	80	-14	-0	-1	+7	+14	0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#2Danny 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
#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
#4Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#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	5.6	3,729	81	51	205	291	336	+40	+21	4.7	4.5
/162	664	14	9	+7.1	+3.7	0.8	pk7: 4
#6J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	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
Bernard Moon (OGILVIE)	21	40	35	50	35	191/279/302	111	266	5	7	30%	8%	68	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Adrian Abreu 2012 · A	21	39	38→40	47→55	47	190/263/273	82	247	5	9	24%	8%	53	-2.1	212/292/300	88	256	8	17	19%	9%	71	-0.8	209/299/290	80	241	9	25	16%	10%	70	-0.3
✕Cutter Dykstra 2010 · A	21	40→50	40	47→55	43	198/260/282	84	275	8	11	30%	7%	54	-2.0	222/279/297	75	309	6	16	28%	6%	65	-1.2	239/307/326	86	317	6	16	24%	8%	79	-0.1
✕Gorge Munoz 2017 · A	21	43	38→40	50→55	42	205/260/282	78	258	5	17	22%	5%	54	-2.0	206/257/291	85	297	7	10	31%	5%	55	-1.9	189/234/268	78	291	9	9	37%	3%	38	-0.8
✕Tucker Mitchell 2022 · A	21	42	40→45	51→45	39	201/262/293	92	296	7	7	33%	6%	57	-1.8	195/269/306	111	299	13	8	37%	7%	65	-1.2	180/257/292	111	259	15	7	35%	7%	55	-0.8
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/298/304	85	284	8	4	24%	7%	74	-0.5	216/302/271	55	271	5	1	21%	8%	67	-0.3
✕Imeldo Diaz 2019 · A	21	44	41→40	46→45	41	216/264/307	91	269	9	5	23%	5%	61	-1.5	230/264/310	80	304	5	5	25%	4%	61	-1.5	237/260/299	62	315	3	2	25%	2%	54	-0.6
✕Glenn Santiago 2022 · A	21	43	40	51→45	49	207/278/298	91	250	7	11	20%	7%	65	-1.2	199/261/287	88	292	7	8	32%	7%	56	-1.9	182/247/261	79	270	7	8	33%	7%	43	-1.1
✕Abrahan Gutierrez 2021 · A	21	44→43	39→45	46→40	43	214/262/293	80	273	7	6	24%	6%	57	-1.8	225/298/328	103	300	8	4	26%	8%	80	-0.2	218/296/319	101	289	9	2	26%	8%	74	-0.3
✕Jairo Encarnacion 2007 · A	21	44	41→40	52→45	46	212/274/306	95	244	9	8	18%	6%	65	-1.2	229/298/318	89	272	8	7	18%	7%	77	-0.3	246/322/325	79	284	8	4	15%	7%	86	+0.1
✕Victor Duarte 2022 · A	21	39	38→30	48→45	42	188/251/270	82	260	6	7	29%	6%	49	-2.4	199/275/282	83	287	6	6	30%	8%	61	-1.5	182/254/249	67	248	6	11	27%	8%	43	-0.7
✕Franklin Tineo 2017 · A	22	36	38→45	46→50	45	179/245/253	75	239	5	10	26%	7%	42	-2.9	198/277/298	100	282	8	10	30%	8%	65	-1.2	201/298/325	124	262	10	12	25%	10%	77	-0.1
✕Jose Bellorin 2011 · A	20	42	39→40	47→50	42	203/257/285	81	265	6	10	25%	6%	53	-2.1	223/280/308	85	271	6	9	19%	6%	68	-1.0	239/295/316	78	276	6	10	15%	6%	73	-0.3
✕Lenyn Sosa 2021 · A	21	42→51	40→50	43→40	37	207/237/300	93	263	7	5	25%	3%	49	-2.4	227/259/346	119	289	14	3	26%	4%	68	-1.0	243/274/380	137	290	18	3	23%	3%	80	-0.1
✕Luis De La Cruz 2010 · A	21	41	38→30	47→30	40	197/233/275	77	246	5	6	22%	4%	41	-3.0	220/253/311	91	276	5	6	21%	4%	57	-1.8	245/267/324	79	295	3	3	18%	3%	62	-0.4
✕Luis Torrens 2016 · A	20	43→48	38→50	49→40	44	204/275/284	80	281	6	6	28%	7%	61	-1.5	210/273/293	83	267	6	4	22%	7%	62	-1.4	237/296/380	143	283	15	2	21%	6%	89	+0.2
✕Luis Palacios 2010 · A	21	39	39→40	46→50	36	192/235/276	84	265	7	5	30%	4%	43	-2.8	192/239/270	78	302	5	7	36%	5%	43	-2.8	140/190/175	36	236	0	6	38%	6%	0	-1.0
✕Kyle Nevin 2023 · A	21	41→38	40	52→50	39	198/250/294	96	274	6	10	29%	5%	53	-2.1	216/274/318	102	332	9	10	35%	7%	68	-1.0	210/271/306	96	328	9	12	36%	7%	61	-0.9
✕Juan Mora 2021 · A	21	43	42→45	53→55	49	209/289/317	108	255	9	14	21%	8%	74	-0.5	227/292/341	114	308	10	10	28%	6%	80	-0.1	222/278/328	106	295	10	8	27%	5%	70	-0.4
✕Yeison Asencio 2011 · A	21	40→50	41→45	49→45	45	198/259/301	103	247	8	11	23%	6%	59	-1.7	246/277/364	118	285	9	8	17%	3%	78	-0.3	276/296/387	112	301	11	6	13%	2%	89	+0.5
✕Gavin Cecchini 2015 · A	21	43→53	41→45	48→45	46	210/265/313	103	262	7	7	22%	7%	63	-1.4	246/295/341	95	290	7	5	17%	6%	80	-0.1	252/300/339	87	294	6	4	16%	6%	77	-0.3

Career Stats + Projections

Career Comps

Career Path Comps