Edgar Mota — OGILVIE

Edgar MotaC DSL Royals Fortuna

Age 20 R/R 6'1" / 170 lbs ROK HR -15%K -8% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 66 proj PA

wRC+†50

AVG/OBP/SLG.198 / .258 / .267

PA5

HR0

K%30

BB%7

ISO69

MLB%0%

Value2026 · WAR

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

Tools · Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2033	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2034	Pre-Arb	$1.0M	+0.2	$0.4M	+$0.0M
2035	Arb-1	$1M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-2	$1M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$2M	+$0.5M

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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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	17	ROK	DSL Royals Blue	—	52	45	8	2	0	0	5	13	2	0	0	178	288	222	511	44	250	25	10	249	55	-3	+0	—	—	+1	-0.2
2024	18	ROK	DSL Royals Ventura	—	70	57	6	1	0	0	11	25	0	0	0	105	250	123	373	18	176	36	16	193	17	-7	+0	—	—	+2	-0.6
2025	19	ROK	DSL Royals Fortuna	—	68	63	11	0	0	0	2	10	0	1	0	175	200	175	375		200	15	3	167	-1	-8	+0	—	—	+1	-0.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Royals Blue	—	52	47	5	1	0	0	3	19	2	0	0	106	192	128	320	21	197	37	6	164	-3	-6	+0	—	—	+1	-0.5
2024	18	ROK MLE	DSL Royals Ventura	—	70	61	4	1	0	0	7	36	0	0	0	66	162	82	244	16	139	51	10	124	-30	-11	+0	—	—	+2	-0.9
2025	19	ROK MLE	DSL Royals Fortuna	—	68	64	8	0	0	0	1	14	0	1	0	125	138	125	263		155	21	1	126	-29	-10	+0	—	—	+1	-0.9
2023	17	ROK MLE	DSL Royals Blue	—	52	47	5	1	0	0	3	19	2	0	0	106	192	128	320	21	179	37	6	164	-3	—	—	—	—	—	—
2023	17	ROK RAW	DSL Royals Blue	—	52	45	8	2	0	0	5	13	2	0	0	178	288	222	511	44	250	25	10	249	-3	—	—	—	—	—	—
2024	18	ROK MLE	DSL Royals Ventura	—	70	61	4	1	0	0	7	36	0	0	0	66	162	82	244	16	148	51	10	124	-30	—	—	—	—	—	—
2024	18	ROK RAW	DSL Royals Ventura	—	70	57	6	1	0	0	11	25	0	0	0	105	250	123	373	18	176	36	16	193	-30	—	—	—	—	—	—
2025	19	ROK MLE	DSL Royals Fortuna	—	68	64	8	0	0	0	1	14	0	1	0	125	138	125	263		154	21	1	126	-29	—	—	—	—	—	—
2025	19	ROK RAW	DSL Royals Fortuna	—	68	63	11	0	0	0	2	10	0	1	0	175	200	175	375		200	15	3	167	-29	—	—	—	—	—	—
2023	17	ROK MLE	DSL Royals Blue	—	52	47	5	1	0	0	3	19	2	0	0	106	192	128	320	21	197	37	6	164	-3	—	—	—	—	—	—
2024	18	ROK MLE	DSL Royals Ventura	—	70	63	4	1	0	0	7	36	0	0	0	63	162	79	241	16	139	51	10	124	-30	—	—	—	—	—	—
2025	19	ROK MLE	DSL Royals Fortuna	—	68	67	8	0	0	0	1	14	0	1	0	119	138	119	258		155	21	1	126	-29	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	DSL Royals Blue	—	52	47	5	1	0	0	3	19	2	0	0	106	192	128	320	21	197	37	6	164	-3	—	—	—	—	—	—
2024	18	ROK MLE	DSL Royals Ventura	—	70	63	4	1	0	0	7	36	0	0	0	63	162	79	241	16	139	51	10	124	-30	—	—	—	—	—	—
2025	19	ROK MLE	DSL Royals Fortuna	—	68	67	8	0	0	0	1	14	0	1	0	119	138	119	258		155	21	1	126	-29	—	—	—	—	—	—
▸ 2026 season
2026	20	MLB MLE	KC	0%	5	5	1	0	0	0	0	2	0	0	0	200	200	200	400		287	40	0	243	50	-0	+0	+0	+0	+0	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	KC	34%	154	141	30	5	1	2	11	45	1	2	1	213	275	305	579	92	288	29	7	256	59	-7	+0	+0	+3	+3	-0.1
2028	22	MLB MLE	KC	48%	290	265	56	9	2	4	20	83	3	3	1	211	274	306	580	94	290	29	7	265	65	-12	+0	+0	+5	+6	-0.0
2029	23	MLB MLE	KC	54%	385	351	75	12	2	6	27	109	4	4	1	214	277	311	588	97	291	28	7	271	69	-14	+0	+0	+7	+8	0.2
2030	24	MLB MLE	KC	55%	450	411	90	15	3	8	32	126	4	4	2	219	282	328	610	109	292	28	7	275	72	-15	+0	+0	+8	+10	0.3
2031	25	MLB MLE	KC	56%	487	444	97	16	3	9	35	136	5	5	2	218	283	329	612	110	292	28	7	277	73	-15	+0	+0	+9	+11	0.4
2032	26	MLB MLE	KC	56%	509	462	101	16	3	10	37	143	5	5	2	219	284	331	615	113	292	28	7	278	74	-16	+0	+0	+9	+11	0.5
2033	27	MLB MLE	KC	55%	518	470	103	17	3	10	38	145	5	5	2	219	285	332	617	113	292	28	7	278	74	-16	+0	+0	+9	+11	0.5
2034	28	MLB MLE	KC	55%	519	470	103	17	3	10	39	146	5	5	2	219	286	332	618	113	291	28	8	277	74	-16	+0	-1	+9	+11	0.4
2035	29	MLB MLE	KC	53%	513	465	101	16	3	10	38	146	5	4	2	217	283	329	612	112	290	28	7	275	72	-17	+0	-1	+9	+11	0.2
2036	30	MLB MLE	KC	53%	505	457	99	16	3	9	38	145	5	4	1	217	284	324	608	107	289	29	8	272	70	-18	+0	-2	+9	+11	0.0
2027	21	MLB CTX	KC	34%	53	48	10	2	0	1	4	16	1	1	0	208	283	312	596	104	286	30	8	246	59	-3	+0	+0	+1	+1	-0.0
2028	22	MLB CTX	KC	48%	141	129	27	4	1	2	10	40	1	1	0	209	271	302	574	93	287	28	7	254	65	-6	+0	+0	+3	+3	-0.0
2029	23	MLB CTX	KC	54%	209	190	41	7	1	3	15	59	2	2	1	216	280	311	591	95	288	28	7	260	69	-8	+0	+0	+4	+5	0.1
2030	24	MLB CTX	KC	55%	249	227	49	8	2	4	18	70	2	2	1	216	279	322	601	106	289	28	7	263	72	-8	+0	+0	+4	+5	0.2
2031	25	MLB CTX	KC	56%	273	248	55	9	2	5	20	76	3	3	1	222	288	335	623	113	289	28	7	265	73	-9	+0	+0	+5	+6	0.2
2032	26	MLB CTX	KC	56%	286	260	56	9	2	5	21	80	3	3	1	215	282	323	605	108	289	28	7	266	74	-9	+0	+0	+5	+6	0.3
2033	27	MLB CTX	KC	55%	287	261	56	9	2	5	21	81	3	3	1	215	281	322	603	107	289	28	7	266	74	-9	+0	+0	+5	+6	0.3
2034	28	MLB CTX	KC	55%	285	259	56	9	2	5	21	80	3	3	1	216	283	324	607	108	288	28	7	265	74	-9	+0	-0	+5	+6	0.2
2035	29	MLB CTX	KC	53%	274	249	53	8	2	5	20	78	3	2	1	213	279	321	601	108	287	28	7	263	72	-9	+0	-1	+5	+6	0.1
2036	30	MLB CTX	KC	53%	266	241	50	8	1	4	20	76	3	2	1	207	277	299	575	91	286	29	8	261	70	-9	+0	-1	+5	+6	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2323	2112	453	73	15	39	170	656	24	22	8	214	281	319	599	104	290	28	7	263	68	-78	+1	-2	+41	+50	1.3
/ 162G	—	A+C		—	650	591	126	20	4	11	48	184	7	6	2	213	281	316	597	103	288	28	7	263	68	-22	+0	-1	+12	+14	0.4
Career	—	MLE		—	4525	4113	873	141	26	78	326	1295	44	42	16	212	277	316	593	104	287	29	7	268	68	-147	+2	-4	+77	+94	2.2
/ 162G	—	MLE		—	650	591	125	20	4	11	47	186	6	6	2	212	276	315	591	103	286	29	7	268	68	-22	+0	-1	+12	+14	0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#2Adeiny Hechavarríalast yr '20 career totals — 9 seasons, 3,288 PA	5.0	3,288	37	35	253	291	351	+32	+46	8.6	8.8
/162	664	7	7	+6.5	+9.3	1.7	pk7: 9
#3Sandy 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
#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
#5Adam 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.6	2,387	43	23	218	280	324	+43	+24	2.9	2.8
/162	664	12	6	+11.9	+6.7	0.8	pk7: 3
#6Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2

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
Edgar Mota (OGILVIE)	20	—	—	—	—	198/258/267	69	287	0	1	30%	7%	50	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Frank Rodriguez 2022 · A	20	40	36→45	48→30	43	191/262/259	68	272	4	4	30%	7%	50	-2.3	182/239/268	86	269	8	4	34%	5%	43	-2.8	183/244/267	84	244	9	1	28%	6%	43	-0.9
✕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
✕Franklin Tineo 2015 · A	20	38	35→45	42→50	41	179/245/239	60	279	2	8	34%	7%	39	-3.1	184/260/268	84	250	6	9	27%	8%	52	-2.2	174/259/268	94	224	8	11	24%	9%	50	-0.8
✕Christian Cairo 2021 · A	20	39→46	35→40	48→60	44	183/264/241	59	277	2	9	32%	8%	47	-2.5	186/287/267	81	289	6	15	34%	11%	63	-1.3	205/292/276	72	294	4	31	28%	9%	64	-0.8
✕Jose Ramos 2021 · A	20	43→41	38→50	48→45	41	206/270/283	78	285	5	9	28%	6%	59	-1.7	214/277/357	143	320	16	4	36%	7%	78	-0.3	203/271/348	146	303	18	4	37%	7%	72	-0.5
✕Braulio Vasquez 2019 · A	20	43	38→40	47→65	40	207/259/281	74	295	5	11	30%	6%	53	-2.1	191/260/268	77	304	6	15	36%	7%	51	-2.2	188/266/266	78	286	5	32	33%	7%	52	-0.9
✕Jason Lopez 2018 · A	20	40	38→50	47→45	44	192/261/269	76	264	5	9	28%	7%	52	-2.2	204/247/318	114	284	10	6	31%	5%	57	-1.8	161/223/251	90	239	8	7	35%	7%	32	-1.1
✕Gilberto Vizcarra 2019 · A	20	35	38→45	47→40	46	171/243/241	71	215	6	3	23%	7%	40	-3.1	206/263/285	79	260	5	4	22%	6%	56	-1.9	227/270/319	92	275	7	1	19%	4%	65	-0.4
✕Emilio Guerrero 2013 · A	20	38→42	37→45	47→45	37	184/233/259	75	278	4	7	34%	5%	38	-3.2	213/258/302	89	294	7	8	29%	5%	57	-1.8	218/255/332	114	290	9	5	28%	4%	61	-0.8
✕Daniel Santos 2019 · A	20	41	39→45	45→40	41	197/262/285	88	270	7	5	28%	6%	56	-1.9	200/262/282	82	300	5	6	33%	6%	55	-1.9	141/209/188	47	235	0	5	37%	5%	13	-0.9
✕Yeldrys Molina 2009 · A	20	43	38→40	48→50	44	206/265/287	82	281	4	9	27%	7%	57	-1.8	194/252/272	78	285	4	8	31%	7%	49	-2.4	139/198/200	60	203	0	9	29%	6%	11	-1.2
✕Payton Henry 2017 · A	20	44→31	36→45	45→30	39	206/265/279	73	298	3	5	30%	5%	55	-1.9	185/251/287	102	313	10	3	41%	6%	53	-2.1	242/289/361	119	320	16	1	29%	4%	79	-0.1
✕Rey Duran 2009 · A	20	36	41→50	49→40	41	183/243/277	94	256	9	6	31%	6%	47	-2.5	213/267/338	125	268	14	5	25%	6%	70	-0.8	210/263/349	139	246	19	2	23%	5%	69	-0.4
✕Wilmer Dominguez 2011 · A	20	43	40→45	49→45	42	209/255/300	91	272	7	5	26%	6%	56	-1.9	218/253/304	86	275	8	5	23%	4%	56	-1.9	247/278/359	111	273	14	5	15%	4%	75	-0.2
✕Rodolfo Durán 2018 · A	20	43	41→50	46→45	39	210/252/306	96	282	8	6	28%	5%	56	-1.9	208/243/347	139	278	17	3	31%	4%	63	-1.4	225/268/375	150	277	17	3	25%	5%	76	-0.2
✕Andres Melendez 2021 · A	20	43	37→50	46→40	46	203/263/280	77	259	4	5	22%	7%	55	-2.0	210/287/328	118	329	10	5	36%	9%	76	-0.4	191/281/326	135	300	13	2	37%	10%	71	-0.4
✕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
✕Martin Cervenka 2013 · A	20	41→48	35→45	45→40	43	193/256/252	60	293	2	4	33%	8%	46	-2.6	191/249/251	60	294	3	4	33%	7%	42	-2.9	221/267/330	109	291	11	1	27%	6%	66	-0.8
✕Jorge Quiterio 2015 · A	20	36	40→45	46→45	39	183/234/269	86	255	8	8	31%	5%	41	-3.0	194/235/279	85	299	6	9	35%	5%	43	-2.8	177/200/259	83	273	6	12	37%	2%	24	-1.1
✕Deivy Grullón 2016 · A	20	39→42	41→50	47→30	35	196/234/292	96	272	9	2	31%	4%	46	-2.6	218/254/334	116	297	13	2	30%	4%	63	-1.3	211/258/366	155	285	22	1	34%	6%	71	-0.4

Career Stats + Projections

Career Comps

Career Path Comps