Tayden Hall — OGILVIE

Tayden HallC Wisconsin Timber Rattlers

Age 23 L/R 6'2" / 215 lbs A+ HR +10%K +6% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION371 act + 9 ros · stats below = ROS only

showingROS

wRC+†80

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP266

ISO86

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$21M ctrl surplus

Tools · ContractCON 25 / POW 30

Toolsscout grade

CONTACT25

scouting grade only

POWER30

scouting grade only

EYE60

scouting grade only

SPEED45

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2031	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2032	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2033	Arb-1	$2M	+0.4	$0.9M	+$0.0M (cut)
2034	Arb-2	$3M	+0.3	$0.7M	+$0.0M (cut)
2035	Arb-3	$2M	+0.1	$0.2M	+$0.0M (cut)
Totals		$3M		$6M	+$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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2022	19	A+	Wisconsin Timber Rattlers	—	36	30	7	2	1	0	4	8	1	0	0	233	343	367	710	133	304	22	11	315	99	-0	+0	—	—	+1	0.1
2022	19	ROK	ACL Brewers Blue	—	44	38	14	4	0	0	6	8	0	0	0	368	455	474	928	105	467	18	14	418	169	+4	+0	—	—	+1	0.5
2023	20	A	Carolina Mudcats	—	217	173	46	8	0	0	40	41	2	3	3	266	409	312	721	46	343	19	18	341	117	+4	-1	—	—	+5	0.9
2023	20	ROK	ACL Brewers	—	36	24	8	1	0	0	9	4	1	3	0	333	529	375	904	42	364	11	25	406	161	+3	+1	—	—	+1	0.4
2023	20	INTL	Brisbane Bandits	—	156	135	40	9	0	5	17	20	2	2	1	296	383	474	857	178	312	13	11	377	141	+8	+0	—	—	+3	1.1
2024	21	A+	Wisconsin Timber Rattlers	—	304	249	55	9	1	2	42	51	7	5	2	221	349	289	638	68	262	17	14	298	88	-4	+0	—	—	+7	0.3
2024	21	A	Carolina Mudcats	—	100	82	31	6	3	0	17	16	0	0	0	378	485	524	1.009	146	463	16	17	443	186	+10	+0	—	—	+2	1.3
2025	22	A+	Wisconsin Timber Rattlers	—	336	261	41	9	3	4	67	79	5	8	1	157	339	261	600	103	204	24	20	291	83	-7	+1	—	—	+7	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	19	A+ MLE	Wisconsin Timber Rattlers	—	36	31	6	2	1	0	3	11	1	0	0	194	286	323	608	129	254	31	8	250	55	-2	+0	—	—	+1	-0.1
2022	19	ROK MLE	ACL Brewers Blue	—	44	40	11	3	0	0	4	11	0	0	0	275	341	350	691	75	360	25	9	289	82	-1	+0	—	—	+1	-0.0
2023	20	A MLE	Carolina Mudcats	—	217	189	41	6	0	0	24	59	2	3	3	217	312	249	560	32	303	27	11	262	63	-9	-1	—	—	+5	-0.5
2023	20	ROK MLE	ACL Brewers	—	36	27	8	1	0	0	6	6	1	3	0	296	441	333	775	37	302	17	17	340	116	+1	+1	—	—	+1	0.2
2024	21	A+ MLE	Wisconsin Timber Rattlers	—	304	262	50	8	1	2	29	69	7	5	2	191	289	252	540	61	231	23	10	244	51	-18	+0	—	—	+7	-1.1
2024	21	A MLE	Carolina Mudcats	—	100	88	29	5	3	0	11	22	0	0	0	330	404	455	859	125	423	22	11	368	135	+4	+0	—	—	+2	0.6
2025	22	A+ MLE	Wisconsin Timber Rattlers	—	336	279	31	7	2	2	49	113	5	8	1	111	255	172	427	61	169	34	15	214	31	-28	+1	—	—	+7	-2.0
2022	19	ROK MLE	2 teams	—	80	71	16	4	1	0	7	23	1	0	0	225	304	310	614	85	327	29	9	271	70	—	—	—	—	—	—
2022	19	ROK RAW	2 teams	—	80	68	21	6	1	0	10	16	1	0	0	309	405	426	832	118	396	20	12	371	70	—	—	—	—	—	—
2023	20	A MLE	3 teams	—	409	350	78	11	0	0	48	105	5	8	4	223	325	254	579	31	311	26	12	273	71	—	—	—	—	—	—
2023	20	A RAW	3 teams	—	409	332	94	18	0	5	66	65	5	8	4	283	409	383	792	99	332	16	16	361	71	—	—	—	—	—	—
2024	21	A+ MLE	2 teams	—	404	351	77	13	3	2	39	92	7	5	2	219	310	291	600	71	284	23	10	275	72	—	—	—	—	—	—
2024	21	A+ RAW	2 teams	—	404	331	86	15	4	2	59	67	7	5	2	260	383	347	730	88	312	17	15	334	72	—	—	—	—	—	—
2025	22	A+ MLE	Wisconsin Timber Rattlers	—	336	279	31	7	2	2	49	113	5	8	1	111	255	172	427	61	174	34	15	214	31	—	—	—	—	—	—
2025	22	A+ RAW	Wisconsin Timber Rattlers	—	336	261	41	9	3	4	67	79	5	8	1	157	339	261	600	103	204	24	20	291	31	—	—	—	—	—	—
2022	19	ROK MLE	2 teams	—	80	72	16	4	1	0	7	23	1	0	0	222	304	306	609	83	312	29	9	271	70	—	—	—	—	—	—
2023	20	A MLE	3 teams	—	409	353	78	11	0	0	48	105	5	8	4	221	325	252	577	31	303	26	12	273	71	—	—	—	—	—	—
2024	21	A+ MLE	2 teams	—	404	355	77	13	3	2	39	92	7	5	2	217	310	287	597	70	279	23	10	275	72	—	—	—	—	—	—
2025	22	A+ MLE	Wisconsin Timber Rattlers	—	336	279	31	7	2	2	49	113	5	8	1	111	255	172	427	61	169	34	15	214	31	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	A MLE	3 teams	—	409	353	78	11	0	0	48	105	5	8	4	221	325	252	577	31	303	26	12	273	71	—	—	—	—	—	—
2024	21	A+ MLE	2 teams	—	404	355	77	13	3	2	39	92	7	5	2	217	310	287	597	70	279	23	10	275	72	—	—	—	—	—	—
2025	22	A+ MLE	Wisconsin Timber Rattlers	—	336	279	31	7	2	2	49	113	5	8	1	111	255	172	427	61	169	34	15	214	31	—	—	—	—	—	—
YTD	23	A+ MLE	MIL	—	371	312	64	14	2	10	48	115	9	13	5	205	328	359	687	154	286	31	13	302	91	-4	+1	+0	+7	+8	1.1
▸ 2026 season
YTD	23	A+ RAW	MIL	—	371	292	77	18	2	12	68	85	9	13	5	264	417	462	880	199	330	23	18	394	91	—	—	—	—	—	—
ROS	23	A+ MLE	MIL	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		268	33	11	287	80	-0	+0	+0	+0	+0	0.0
TOT	23	A+ MLE	MIL	—	380	320	65	14	2	10	49	118	9	13	5	203	325	353	679	150	284	31	13	302	90	-4	+1	+0	+7	+8	1.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	MIL	30%	401	341	68	14	2	8	50	116	7	7	3	199	314	323	637	123	270	29	12	290	83	-8	+0	+0	+7	+9	0.8
2028	25	MLB MLE	MIL	44%	440	376	75	15	2	9	54	124	7	8	3	199	311	322	633	122	272	28	12	295	86	-7	+0	+0	+8	+10	1.1
2029	26	MLB MLE	MIL	51%	464	397	81	16	2	10	57	129	7	8	3	204	315	330	645	126	273	28	12	298	88	-7	+0	+0	+8	+10	1.2
2030	27	MLB MLE	MIL	52%	472	404	83	17	2	10	58	131	7	8	3	205	316	332	647	126	274	28	12	299	88	-7	+0	+0	+8	+10	1.3
2031	28	MLB MLE	MIL	53%	472	404	81	16	2	10	58	132	7	8	3	200	311	324	636	124	273	28	12	298	88	-7	+0	-1	+8	+10	1.2
2032	29	MLB MLE	MIL	53%	466	398	81	16	2	10	58	131	7	7	3	204	315	329	644	126	272	28	12	296	86	-8	+0	-1	+8	+10	1.0
2033	30	MLB MLE	MIL	52%	457	390	78	16	2	9	57	130	7	7	2	200	313	321	633	121	271	28	12	293	84	-9	+1	-2	+8	+10	0.8
2034	31	MLB MLE	MIL	52%	431	368	73	14	2	9	53	124	7	6	2	198	311	321	631	122	268	29	12	289	82	-9	+0	-3	+8	+9	0.5
2035	32	MLB MLE	MIL	52%	401	343	67	13	2	8	49	117	6	5	2	195	307	315	621	120	264	29	12	283	78	-11	+0	-4	+7	+9	0.2
2036	33	MLB MLE	MIL	56%	362	309	57	11	1	6	45	107	5	4	1	184	298	285	583	100	260	30	12	277	74	-11	+0	-4	+6	+8	-0.1
2027	24	MLB CTX	MIL	30%	122	104	20	4	1	2	15	35	2	2	1	192	306	308	613	115	269	29	12	279	83	-3	+0	+0	+2	+3	0.2
2028	25	MLB CTX	MIL	44%	195	166	34	7	1	4	24	55	3	4	1	205	316	331	647	127	271	28	12	284	86	-3	+0	+0	+3	+4	0.5
2029	26	MLB CTX	MIL	51%	236	201	41	8	1	5	29	66	4	4	1	204	316	328	645	124	272	28	12	287	88	-3	+0	+0	+4	+5	0.6
2030	27	MLB CTX	MIL	52%	247	211	44	9	1	6	30	69	4	4	2	209	318	346	664	137	272	28	12	288	88	-3	+0	+0	+4	+5	0.6
2031	28	MLB CTX	MIL	53%	252	215	44	9	1	6	31	70	4	4	1	205	316	340	656	135	271	28	12	287	88	-4	+0	-0	+4	+5	0.6
2032	29	MLB CTX	MIL	53%	245	209	41	8	1	5	30	69	4	4	1	196	309	316	624	120	270	28	12	285	86	-4	+0	-1	+4	+5	0.5
2033	30	MLB CTX	MIL	52%	238	203	41	8	1	5	29	68	4	3	1	202	314	325	639	123	269	29	12	282	84	-4	+0	-1	+4	+5	0.4
2034	31	MLB CTX	MIL	52%	223	190	38	7	1	5	28	64	3	3	1	200	312	326	639	126	266	29	13	278	82	-5	+0	-1	+4	+5	0.3
2035	32	MLB CTX	MIL	52%	207	176	35	7	1	4	26	60	3	2	1	199	312	318	630	119	263	29	13	273	78	-5	+0	-2	+4	+4	0.1
2036	33	MLB CTX	MIL	56%	202	172	33	6	1	4	25	60	3	2	1	192	305	308	613	116	258	30	12	267	74	-6	+0	-2	+4	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2167	1847	371	73	10	46	267	616	34	32	11	201	313	326	639	125	272	28	12	281	79	-42	+2	-8	+39	+47	3.9
/ 162G	—	A+C		—	650	554	112	22	3	14	80	185	10	10	3	202	314	329	642	126	274	28	12	281	79	-12	+1	-2	+12	+14	1.2
Career	—	MLE		—	5604	4789	947	183	25	93	683	1577	85	89	32	198	309	305	613	107	271	28	12	285	79	-84	+4	-15	+78	+95	8.0
/ 162G	—	MLE		—	650	555	110	21	3	11	79	183	10	10	4	198	309	306	615	108	271	28	12	285	79	-12	+1	-2	+12	+14	1.2

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
#2John 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
#3Derek 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
#4Austin Barneslast yr '24 career totals — 8 seasons, 1,639 PA	2.5	1,639	35	22	225	325	344	+29	+59	12.4	12.5
/162	664	14	9	+11.9	+23.8	5.0	pk7: 13
#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 5 projected seasons	3.3	2,168	44	33	201	310	324	+39	+20	5.7	5.3
/162	664	14	10	+11.9	+6.1	1.7	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
Tayden Hall (OGILVIE)	23	25	30	45	60	190/308/304	114	268	6	8	30%	13%	80	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Anthony Seigler 2023 · A	24	41→39	42→45	46→55	56	196/304/308	112	272	9	11	28%	13%	78	-0.3	197/295/308	111	251	10	20	24%	12%	75	-0.5	219/309/345	126	268	10	25	21%	11%	85	+0.2
✕Taylor Krick 2011 · A	23	43	39→30	48→40	50	207/292/288	80	272	6	7	25%	9%	68	-1.0	227/312/290	63	312	3	5	26%	8%	76	-0.4	234/324/284	50	326	2	2	25%	8%	77	-0.1
✕Nolan Fontana 2014 · A	23	45→43	40	52→50	59	208/323/305	98	291	7	14	28%	14%	85	+0.2	207/302/294	87	304	4	9	29%	12%	74	-0.6	184/288/307	123	253	11	12	29%	12%	71	-0.3
✕Noe Becerra 2010 · AAA	23	44	39→30	43→40	49	213/278/291	78	269	7	7	23%	8%	63	-1.4	236/289/321	85	277	7	7	16%	7%	74	-0.6	282/332/341	59	319	2	0	12%	6%	93	+0.3
✕Michael Papierski 2019 · A	23	37→44	39→40	47→40	54	180/284/263	83	241	7	6	26%	11%	61	-1.5	192/281/278	86	270	8	4	29%	10%	63	-1.4	200/288/293	93	258	9	0	25%	10%	66	-0.6
✕Andy Paz 2016 · A	23	38	37→40	48→45	42	186/248/255	69	274	5	6	32%	8%	43	-2.8	230/279/295	65	301	4	7	23%	6%	63	-1.3	246/291/294	49	312	2	7	21%	6%	64	-0.4
✕J.C. Escarra 2018 · A	23	39→46	38→45	43→45	50	186/276/271	85	246	4	3	25%	9%	59	-1.6	197/262/290	93	247	9	4	23%	7%	57	-1.8	224/295/345	121	259	11	3	17%	8%	80	-0.1
✕Miguel Arrendell 2011 · A	23	43	38→30	50	50	204/283/278	75	275	5	13	26%	9%	62	-1.4	220/277/315	95	278	8	8	22%	7%	68	-1.0	233/284/329	97	269	9	2	17%	6%	70	-0.3
✕Jose Jimenez 2010 · A	23	41	42→40	48→30	51	200/282/305	105	262	9	4	26%	10%	68	-1.0	210/271/306	96	268	9	3	24%	8%	64	-1.3	206/265/294	88	259	9	1	23%	7%	57	-1.0
✕Randy Florentino 2023 · A	23	37	40→50	47→45	41	185/249/273	88	279	9	6	35%	8%	49	-2.4	200/248/288	88	265	8	6	26%	6%	51	-2.3	188/228/265	77	236	7	4	24%	5%	36	-1.0
✕Kawika Emsley-Pai 2013 · A	24	43	36→30	46→40	55	198/298/270	72	275	3	7	26%	12%	67	-1.1	197/293/273	76	284	5	7	29%	11%	65	-1.2	163/278/221	58	239	5	4	30%	13%	48	-0.7
✕David Martin 2023 · A	22	45	39→30	49→30	42	211/285/300	89	297	5	7	29%	6%	68	-1.0	221/302/288	67	277	4	4	20%	8%	72	-0.7	240/332/298	58	287	4	1	16%	10%	84	+0.1
✕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
✕John Curtis 2008 · A	23	38	38→30	47→30	47	184/253/263	79	244	4	5	25%	8%	47	-2.5	197/262/264	67	290	4	3	31%	7%	51	-2.2	196/261/251	55	287	4	1	31%	7%	45	-1.1
✕Casey Turgeon 2016 · A	23	45	37→40	50→45	53	210/297/285	75	261	4	9	20%	10%	70	-0.9	208/293/302	94	266	7	7	23%	10%	72	-0.7	199/289/298	99	252	9	5	23%	10%	68	-0.5
✕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
✕Michael Pérez 2016 · A	23	35	41→50	42→40	42	178/243/275	96	258	9	4	33%	7%	47	-2.6	210/262/307	97	279	8	3	26%	6%	61	-1.5	222/282/338	116	285	12	0	25%	7%	74	-0.3
✕Dallas Poulk 2011 · A	23	42	40→30	50	43	204/262/298	93	276	7	8	28%	7%	59	-1.7	209/274/277	68	295	3	9	27%	8%	58	-1.7	202/272/261	59	288	1	8	28%	8%	51	-1.5
✕Ashton McGee 2021 · A	22	41	39→45	50→40	41	194/258/283	89	288	5	5	33%	7%	54	-2.0	201/288/312	111	366	10	4	43%	10%	72	-0.7	185/281/295	109	345	11	2	44%	11%	63	-0.7
✕Josh Alley 2007 · A	23	45	37→40	45→50	58	211/301/282	72	255	5	10	18%	11%	71	-0.8	235/317/322	87	290	5	10	19%	11%	84	+0.2	258/342/352	94	313	4	10	17%	11%	98	+0.6

Career Stats + Projections

Career Comps

Career Path Comps