Anson Aroz — OGILVIE

Anson ArozC Ontario Tower Buzzers

Age 23 S/R 5'11" / 195 lbs A HR +8%BB -8% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION167 act + 24 ros · stats below = ROS only

showingROS

wRC+†75

AVG/OBP/SLG.182 / .250 / .227

PA24

HR0

K%33

BB%8

BABIP301

ISO45

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$19M ctrl surplus

Tools · Contract

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	+0.7	$2M	+$1M
2032	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2033	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.5M
2034	Arb-1	$1M	+0.3	$0.7M	+$0.1M
2035	Arb-2	$1M	—	—	—
2036	Arb-3	$7M	—	—	—
Totals		$4M		$4M	+$3M

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
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
YTD	23	A MLE	LAD	—	167	141	29	5	0	3	18	66	6	2	2	206	321	305	626	99	351	40	11	284	78	-4	-0	+0	+3	+4	0.2
▸ 2026 season
YTD	23	A RAW	LAD	—	104	80	25	3	0	3	18	29	4	1	2	312	461	463	923	150	440	28	17	411	78	—	—	—	—	—	—
YTD	23	A+ RAW	LAD	—	63	53	9	3	0	1	8	20	2	1	0	170	302	283	585	113	250	32	13	278	78	—	—	—	—	—	—
ROS	23	A MLE	LAD	0%	24	22	4	1	0	0	2	8	0	0	0	182	250	227	477	45	305	33	8	278	75	-1	+0	+0	+0	+1	0.0
TOT	23	A MLE	LAD	—	191	163	33	6	0	3	20	74	6	2	2	202	312	294	607	92	341	39	10	283	78	-5	-0	+0	+3	+4	0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	LAD	38%	374	331	70	12	1	8	33	120	7	5	2	211	296	326	623	115	303	32	9	285	79	-9	+0	+0	+7	+8	0.6
2028	25	MLB MLE	LAD	55%	471	418	90	16	2	10	42	147	8	6	2	215	299	335	634	120	302	31	9	289	82	-10	+0	+0	+8	+10	0.9
2029	26	MLB MLE	LAD	64%	520	460	101	18	2	12	46	160	9	7	3	220	303	346	649	126	301	31	9	292	84	-10	+0	+0	+9	+11	1.1
2030	27	MLB MLE	LAD	66%	520	459	101	18	2	12	47	159	9	7	3	220	305	346	651	126	301	31	9	293	84	-10	+0	+0	+9	+11	1.1
2031	28	MLB MLE	LAD	67%	520	459	99	17	2	12	47	160	9	6	3	216	301	340	641	124	300	31	9	292	84	-10	+0	-1	+9	+11	1.0
2032	29	MLB MLE	LAD	66%	520	459	99	17	2	12	47	161	9	6	2	216	301	340	641	124	299	31	9	290	82	-11	+0	-1	+9	+11	0.9
2033	30	MLB MLE	LAD	65%	520	458	98	17	2	11	48	162	9	5	2	214	301	332	633	118	298	31	9	287	80	-12	+0	-2	+9	+11	0.7
2034	31	MLB MLE	LAD	65%	504	445	94	16	2	11	46	159	8	4	2	211	297	330	627	119	295	32	9	283	78	-13	+0	-3	+9	+11	0.4
2035	32	MLB MLE	LAD	65%	489	433	88	15	1	10	45	156	8	4	1	203	290	312	602	109	292	32	9	277	74	-15	+0	-4	+9	+11	0.1
2036	33	MLB MLE	LAD	64%	473	419	84	14	1	9	43	153	8	3	1	200	287	303	590	103	287	32	9	271	69	-17	+0	-4	+8	+10	-0.3
2027	24	MLB CTX	LAD	38%	141	126	25	4	0	3	12	45	2	2	1	198	279	302	580	103	298	32	9	271	79	-4	+0	+0	+3	+3	0.2
2028	25	MLB CTX	LAD	55%	261	232	49	8	1	6	23	81	4	3	1	211	293	332	625	121	298	31	9	275	82	-6	+0	+0	+5	+6	0.5
2029	26	MLB CTX	LAD	64%	331	293	63	11	1	8	29	102	6	4	2	215	299	341	640	126	297	31	9	278	84	-6	+0	+0	+6	+7	0.7
2030	27	MLB CTX	LAD	66%	342	302	65	11	1	8	31	105	6	4	2	215	301	338	639	123	296	31	9	279	84	-6	+0	+0	+6	+7	0.7
2031	28	MLB CTX	LAD	67%	347	306	65	11	1	8	32	107	6	4	2	212	299	333	633	121	296	31	9	278	84	-7	+0	-0	+6	+8	0.7
2032	29	MLB CTX	LAD	66%	342	302	64	11	1	8	31	106	6	4	2	212	298	334	632	123	295	31	9	276	82	-7	+0	-1	+6	+7	0.5
2033	30	MLB CTX	LAD	65%	339	299	64	11	1	8	31	106	6	3	1	214	301	338	638	124	294	31	9	274	80	-8	+0	-1	+6	+7	0.4
2034	31	MLB CTX	LAD	65%	326	288	60	10	1	7	30	103	5	3	1	208	294	323	617	115	291	32	9	270	78	-9	+0	-2	+6	+7	0.3
2035	32	MLB CTX	LAD	65%	316	279	57	9	1	7	29	101	5	2	1	204	291	319	610	115	288	32	9	265	74	-10	+0	-2	+6	+7	0.0
2036	33	MLB CTX	LAD	64%	305	269	54	9	1	6	28	99	5	2	1	201	288	309	597	108	284	32	9	258	69	-11	+0	-3	+5	+7	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3050	2696	566	95	9	69	276	955	51	31	14	210	295	329	624	119	294	31	9	273	80	-74	+1	-10	+54	+66	3.9
/ 162G	—	A+C		—	650	575	121	20	2	15	59	204	11	7	3	210	297	330	627	120	294	31	9	273	80	-16	+0	-2	+12	+14	0.8
Career	—	MLE		—	4935	4363	928	161	17	107	446	1545	84	53	21	213	298	331	629	118	300	31	9	286	80	-119	+2	-15	+88	+107	6.5
/ 162G	—	MLE		—	650	575	122	21	2	14	59	203	11	7	3	212	298	329	626	117	299	31	9	286	80	-16	+0	-2	+12	+14	0.9

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
#2Rod Barajaslast yr '12 career totals — 12 seasons, 3,753 PA	5.7	3,753	134	2	235	284	407	+60	+30	15.8	16.0
/162	664	24	0	+10.7	+5.3	2.8	pk7: 16
#3John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#4Derek Norrislast yr '17 career totals — 6 seasons, 2,195 PA	3.3	2,195	63	26	230	304	380	+39	+50	13.7	13.7
/162	664	19	8	+11.9	+15.1	4.1	pk7: 14
#5Bobby 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
#6Danny 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	5.1	3,369	73	37	213	294	332	+60	+28	6.7	6.1
/162	664	14	7	+11.9	+5.5	1.3	pk7: 5

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
Anson Aroz (OGILVIE)	23	—	—	—	—	206/292/311	105	305	6	5	33%	9%	75	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Patrick Bailey 2022 · A	23	43→49	44→45	50→45	43	210/276/327	117	304	11	8	33%	8%	71	-0.8	214/280/338	124	289	13	5	29%	8%	75	-0.5	231/291/344	113	305	11	4	27%	7%	78	-0.2
✕Jake Rogers 2018 · A	23	41→40	44→55	47→45	42	204/268/326	123	280	11	10	30%	7%	68	-1.0	194/266/335	141	268	16	7	32%	8%	70	-0.9	216/279/422	206	274	28	2	32%	7%	93	+0.4
✕Trent Woodward 2015 · A	23	43	41→45	47→30	47	207/286/310	103	278	7	6	27%	8%	72	-0.7	220/287/309	89	313	7	4	29%	8%	71	-0.8	220/290/306	86	311	8	1	30%	8%	68	-0.3
✕Jeferson Morales 2023 · A	24	38→48	46→45	49→50	43	193/273/321	128	259	13	9	30%	7%	70	-0.9	215/289/341	126	276	12	9	25%	7%	79	-0.2	221/295/347	125	275	11	8	22%	7%	80	-0.1
✕Marcus Littlewood 2015 · A	23	41	42→45	49→45	47	202/269/308	106	265	9	5	26%	8%	63	-1.3	210/269/319	109	275	10	5	26%	7%	66	-1.1	207/261/311	104	269	10	3	26%	7%	59	-0.8
✕John Hester 2007 · A	23	42	44→55	50	41	204/270/328	124	296	10	7	33%	7%	69	-0.9	226/267/364	138	298	13	7	28%	5%	76	-0.4	249/292/412	163	320	14	10	26%	5%	94	+0.5
✕Christopher Familia 2023 · A	23	40	46→55	47→45	45	203/281/331	128	258	14	8	26%	8%	74	-0.5	219/278/387	168	291	21	4	31%	6%	86	+0.3	217/271/408	191	280	27	0	32%	5%	84	+0.1
✕Bryan Holaday 2011 · A	23	42	42→45	47→40	42	201/282/303	102	295	9	5	33%	8%	69	-0.9	209/262/295	86	270	7	6	24%	5%	58	-1.7	220/288/344	124	255	13	2	19%	7%	76	-0.1
✕Adrian Nieto 2013 · A	23	42→47	41→45	46→40	43	206/267/306	100	290	9	5	31%	8%	63	-1.4	219/285/334	115	304	11	4	29%	8%	76	-0.4	211/284/322	111	292	11	2	29%	9%	71	-0.4
✕Andrew Susac 2013 · A	23	42→38	43→50	45→30	45	204/279/315	111	288	11	4	31%	9%	70	-0.9	217/292/358	141	289	16	3	29%	9%	84	+0.2	217/296/371	154	282	18	1	28%	9%	86	+0.1
✕Pedro Pagés 2022 · A	23	43→45	43→50	42→40	42	211/278/315	104	301	11	4	32%	7%	69	-0.9	213/277/334	121	292	13	4	30%	7%	73	-0.6	227/286/364	137	285	17	2	26%	7%	81	-0.0
✕Jose Lobatón 2008 · A	23	43	45	43→30	46	215/286/340	125	294	13	3	30%	8%	78	-0.3	219/278/335	116	291	12	3	27%	7%	73	-0.6	233/317/359	126	296	11	0	23%	11%	91	+0.3
✕Anthony Seigler 2022 · A	23	41→39	42→45	44→55	45	197/273/305	109	295	9	6	34%	9%	65	-1.2	191/295/300	109	252	10	15	26%	12%	73	-0.6	219/309/345	126	268	10	25	21%	11%	85	+0.2
✕Karexon Sanchez 2011 · A	23	45→47	42→45	47→50	44	214/288/324	111	303	9	10	31%	8%	75	-0.5	219/289/325	106	305	10	13	29%	7%	76	-0.4	215/284/316	101	292	11	15	28%	7%	69	-0.3
✕Thomas Dillard 2021 · A	23	45→38	44→45	52→50	51	215/305/333	118	304	12	10	31%	11%	84	+0.1	196/283/318	122	326	13	9	40%	10%	72	-0.7	182/275/301	120	302	13	9	40%	10%	64	-1.1
✕Alex Isola 2021 · A	23	46→45	45→50	49→40	44	227/279/349	122	287	12	8	25%	6%	76	-0.4	217/284/360	143	275	18	4	27%	8%	82	-0.0	214/284/354	140	266	19	2	26%	8%	78	-0.2
✕Jhoneiker Betancourt 2023 · A	23	43	40→50	50→40	42	206/280/300	94	283	7	6	28%	6%	67	-1.1	205/276/339	134	277	16	4	31%	6%	74	-0.5	180/260/332	152	234	22	0	33%	7%	72	-0.3
✕Alexander Campos 2022 · A	22	42	42→40	46→45	48	206/291/311	105	278	9	6	28%	9%	73	-0.6	220/302/308	88	316	7	6	30%	9%	76	-0.4	234/327/306	73	330	7	6	28%	11%	84	+0.1
✕Carlos Narváez 2023 · A	24	36→45	46→45	46→45	44	182/271/305	123	284	14	6	38%	10%	65	-1.2	206/290/331	125	292	13	7	32%	9%	78	-0.3	212/295/344	132	286	15	6	29%	9%	81	-0.0
✕Nick Hutchins 2019 · A	23	43	46→50	47→40	39	213/270/346	132	296	12	3	31%	6%	73	-0.6	208/250/308	100	294	8	5	31%	4%	56	-1.9	195/224/282	86	275	7	4	31%	2%	36	-1.6

Career Stats + Projections

Career Comps

Career Path Comps