Tayden Hall — OGILVIE

Tayden HallC Wisconsin Timber Rattlers

Age 23 L/R 6'2" / 215 lbs A+ HR -4% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION203 act + 135 ros · stats below = ROS only

wRC+†60

AVG/OBP/SLG.184 / .305 / .289

PA135

HR2

K%33

BB%13

BABIP274

ISO105

MLB%0%

Value2026 · WAR

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

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	+1.0	$6M	+$5M
2031	Pre-Arb	$0.9M	+0.9	$2M	+$2M
2032	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$10M	+$9M

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. 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
2022	19	ROK	2 teams	—	80	71	15	4	1	0	7	23	1	0	0	211	291	296	587	85	306	29	9	268	63	—	—	—	—	—	—
2022	19	ROK	2 teams	—	80	68	21	6	1	0	10	16	1	0	0	309	405	426	832	118	396	20	12	371	142	—	—	—	—	—	—
2023	20	A	3 teams	—	409	351	75	11	0	0	47	106	5	8	4	214	315	245	560	31	299	26	11	264	60	—	—	—	—	—	—
2023	20	A	3 teams	—	409	332	94	18	0	5	66	65	5	8	4	283	409	383	792	99	332	16	16	361	134	—	—	—	—	—	—
2024	21	A+	2 teams	—	404	350	75	13	3	2	40	92	7	5	2	214	307	286	593	71	278	23	10	271	66	—	—	—	—	—	—
2024	21	A+	2 teams	—	404	331	86	15	4	2	59	67	7	5	2	260	383	347	730	88	312	17	15	334	114	—	—	—	—	—	—
2025	22	A+	Wisconsin Timber Rattlers	—	336	277	29	6	3	2	51	120	5	8	1	105	255	170	425	65	171	36	15	210	19	—	—	—	—	—	—
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	81	—	—	—	—	—	—
▸ 2026 Season (ACT · ROS-MLE · ROS-CTX · FULL)
YTD	23	A+	MIL	—	203	170	31	7	0	5	25	73	7	8	2	182	312	312	624	129	280	36	12	290	80	-5	+1	+0	+4	+6	0.6
YTD	23	A+	MIL	—	203	160	41	10	0	7	35	54	7	8	2	256	411	450	861	194	340	27	17	388	155	+13	+1	+0	+4	+6	2.3
ROS	23	A+	MIL	0%	135	114	21	4	1	2	17	44	3	3	1	184	305	289	594	105	261	33	13	264	60	-6	+0	+0	+2	+4	0.0
ROS	23	MLB	MIL	0%	1	1	0	0	0	0	0	0	0	0	0						259	0	0	247	47	-0	+0	+0	+0	+0	-0.0
FULL	23	A+	MIL	—	204	171	31	7	0	5	25	73	7	8	2	181	310	310	620	129	277	36	12	290	80	-5	+1	+0	+4	+6	0.6
TOT	23	A+	MIL	—	338	284	52	11	1	7	42	117	10	11	3	183	309	302	612	120	277	35	12	279	72	-11	+1	+0	+6	+10	0.6
▸ 2027+ Projections WITH CONTEXT · MLB TIME ONLY ⓘPARK-NEUTRAL MLE · ALL-LEVEL PT ⓘ
2027	24	MLB	MIL	30%	366	311	59	12	2	6	45	115	7	7	2	190	306	299	605	109	268	31	12	274	68	-13	+1	+0	+7	+10	0.4
2028	25	MLB	MIL	44%	416	356	69	14	2	8	50	127	7	7	2	194	305	312	617	118	271	31	12	282	74	-12	+1	+0	+7	+12	0.8
2029	26	MLB	MIL	51%	448	384	75	15	2	9	53	135	8	8	2	195	306	315	621	120	272	30	12	285	76	-12	+1	+0	+8	+13	1.0
2030	27	MLB	MIL	52%	462	396	77	15	2	9	55	139	8	8	2	194	305	311	616	116	272	30	12	286	77	-12	+1	+0	+8	+13	1.0
2031	28	MLB	MIL	53%	466	399	77	15	2	9	56	141	8	8	2	193	305	308	613	115	272	30	12	285	76	-12	+1	-1	+8	+13	0.9
2032	29	MLB	MIL	53%	462	395	77	15	2	9	56	140	8	7	2	195	307	311	619	116	271	30	12	283	75	-13	+1	-1	+8	+13	0.8
2027	24	MLB	MIL	30%	111	94	17	3	0	2	14	35	2	2	1	181	300	277	577	96	266	32	13	259	57	-5	+0	+0	+2	+3	-0.0
2028	25	MLB	MIL	44%	184	157	30	6	1	3	22	56	3	3	1	191	302	299	602	108	268	30	12	267	62	-8	+0	+0	+3	+5	0.1
2029	26	MLB	MIL	51%	227	194	37	7	1	4	27	68	4	4	1	191	302	299	601	108	270	30	12	271	65	-9	+0	+0	+4	+6	0.2
2030	27	MLB	MIL	52%	242	207	41	8	1	5	29	73	4	4	1	198	308	319	627	121	270	30	12	272	66	-9	+0	+0	+4	+7	0.2
2031	28	MLB	MIL	53%	248	212	41	8	1	5	30	75	4	4	1	193	305	311	616	118	269	30	12	271	65	-10	+0	-0	+4	+7	0.2
2032	29	MLB	MIL	53%	243	208	40	8	1	5	29	74	4	4	1	192	303	312	615	120	268	30	12	269	64	-10	+0	-1	+4	+7	0.1
▸ Career Totals
Career	—			—	1256	1073	206	40	5	24	151	381	21	21	6	192	304	306	609	114	270	30	12	269	64	-51	+2	-1	+22	+36	0.8
/ 162G	—			—	650	555	107	21	3	12	78	197	11	11	3	193	304	306	611	114	272	30	12	269	64	-26	+1	-1	+12	+18	0.4
Career	—			—	3984	3404	649	124	20	56	477	1182	67	69	20	191	302	288	590	98	270	30	12	273	67	-149	+6	-2	+71	+113	3.9
/ 162G	—			—	650	555	105	20	3	9	78	193	11	11	3	189	301	285	586	95	268	30	12	273	67	-24	+1	-0	+12	+18	0.6

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
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	178	+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	119	+5	-1	—	—	+6	1.0
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	169	+3	+1	—	—	+1	0.5
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	147	+8	+0	—	—	+4	1.3
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	86	-5	+0	—	—	+9	0.4
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	197	+11	+0	—	—	+3	1.4
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	81	-7	+1	—	—	+10	0.4

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
#1Austin Barneslast yr '24 career totals — 8 seasons, 1,639 PA	8	1,639	35	22	225	325	344	+29	+59	12.4	12.5
	/162	664	14	9	225	325	344	+11.9	+23.8	5.0	pk7: 13
#2Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	7	2,832	62	34	238	305	374	+28	+33	11.6	11.6
	/162	664	15	8	238	305	374	+6.7	+7.7	2.7	pk7: 12
#3Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	8	3,267	98	64	221	297	378	+16	+36	11.0	11.4
	/162	664	20	13	221	297	378	+3.2	+7.3	2.2	pk7: 12
#4Mike Mathenylast yr '06 career totals — 7 seasons, 2,830 PA	7	2,830	45	2	244	301	351	+21	+31	7.2	7.2
	/162	664	11	0	244	301	351	+4.9	+7.2	1.7	pk7: 7
#5Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	9	1,648	31	1	209	276	313	+29	+56	6.4	6.7
#5Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	/162	664	12	0	209	276	313	+11.9	+22.4	2.6	pk7: 7
#6Paul Bakolast yr '09 career totals — 9 seasons, 1,844 PA	9	1,844	19	2	219	297	308	+17	+52	5.6	5.8
#6Paul Bakolast yr '09 career totals — 9 seasons, 1,844 PA	/162	664	7	1	219	297	308	+6.1	+18.7	2.0	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	3	1,257	24	21	194	303	309	+22	+12	2.5	2.5
	/162	664	13	11	194	303	309	+11.9	+6.3	1.3	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
Tayden Hall (OGILVIE)	23	25	30	45	60	183/309/302	120	277	7	11	35%	12%	72	+0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Andy Paz 2016 · A	23	38	37→40	48→45	42	185/247/254	69	274	5	6	33%	8%	36	-2.7	220/269/285	65	296	4	7	25%	6%	52	-1.6	226/270/274	48	296	3	7	23%	6%	46	-0.7
✕Richie Fecteau 2017 · A	23	39	36→45	44→40	49	186/257/257	72	243	2	6	23%	8%	41	-2.3	219/269/321	102	294	9	4	27%	6%	62	-0.9	223/268/330	107	301	10	2	28%	5%	61	-0.5
✕John Curtis 2008 · A	23	38	38→30	47→30	47	184/253/263	79	244	4	5	25%	8%	40	-2.4	196/261/262	66	290	4	3	31%	7%	44	-2.1	192/259/246	54	284	4	1	31%	7%	36	-1.2
✕Nolan Fontana 2014 · A	23	42→43	39→40	52→50	58	198/312/287	89	285	6	14	30%	14%	73	-0.1	204/300/291	87	305	4	9	30%	12%	69	-0.4	184/288/308	124	252	11	12	29%	12%	68	-0.2
✕Kawika Emsley-Pai 2014 · A	25	40	35→30	48→40	53	185/285/245	61	271	2	7	30%	12%	51	-1.7	209/291/299	90	290	8	7	28%	10%	66	-0.6	179/278/276	97	238	12	2	28%	11%	55	-0.4
✕Jordan Pearce 2019 · A	23	38→34	39→40	46→40	47	189/260/270	81	253	8	3	28%	9%	46	-2.0	194/278/278	84	265	7	5	27%	9%	56	-1.3	170/274/238	68	231	6	3	26%	10%	43	-1.4
✕J.C. Escarra 2018 · A	23	39→46	38→45	43→45	50	186/276/271	85	246	4	3	25%	9%	54	-1.4	195/259/285	90	246	8	4	23%	6%	49	-1.8	223/294/353	130	256	11	4	17%	8%	80	+0.2
✕Kier Meredith 2022 · A	22	42	36→30	51→60	45	198/268/265	67	279	4	12	29%	8%	47	-1.9	206/304/278	72	297	4	26	29%	9%	68	-0.5	217/333/268	51	299	3	35	25%	10%	75	-0.0
✕Taylor Krick 2011 · A	23	43	38→30	48→40	51	205/292/282	77	270	6	7	25%	10%	63	-0.8	226/312/290	64	313	3	5	26%	8%	73	-0.1	233/324/284	51	328	2	2	26%	8%	74	-0.0
✕Aaron Shipman 2013 · A	21	39→35	35→30	44→50	48	182/265/240	58	277	2	9	32%	10%	40	-2.4	219/302/285	66	307	2	16	26%	10%	67	-0.5	235/324/293	58	319	1	21	24%	11%	73	-0.1
✕Bryant Flete 2016 · AA	23	40→44	36→40	46→50	47	189/257/250	61	254	3	8	26%	8%	39	-2.5	206/258/286	80	278	5	6	26%	6%	48	-1.9	207/269/273	66	287	5	4	28%	6%	47	-1.0
✕Miguel Arrendell 2011 · A	23	43	37→30	50	49	203/281/278	74	276	5	13	26%	9%	56	-1.3	218/273/311	93	277	8	8	23%	7%	61	-1.0	226/274/319	93	262	9	2	17%	6%	59	-0.4
✕Franklin Tineo 2017 · A	22	36	38→45	46→50	45	179/245/253	75	239	5	10	26%	7%	35	-2.8	198/277/298	100	282	8	10	30%	8%	60	-1.0	201/298/325	124	262	10	12	25%	10%	74	-0.0
✕Dallas Poulk 2011 · A	23	42	40→30	50	44	204/263/298	94	276	7	8	28%	7%	53	-1.5	210/276/281	71	300	3	9	28%	8%	54	-1.4	203/274/265	61	294	1	8	29%	8%	47	-1.3
✕Logan Moore 2014 · A	23	34	37→40	43→30	39	170/226/241	71	247	5	4	32%	6%	24	-3.6	199/247/285	86	275	6	3	28%	6%	43	-2.2	190/236/282	92	264	10	0	31%	6%	35	-1.1
✕Dylan Neuse 2023 · A	24	36	40	49→50	44	178/256/260	82	272	8	14	35%	9%	42	-2.3	211/287/303	92	304	7	12	30%	9%	66	-0.6	219/303/313	94	309	5	13	28%	10%	75	-0.0
✕Casey Turgeon 2016 · A	23	44	37→40	50→45	54	207/299/281	74	259	4	9	20%	10%	66	-0.6	209/295/308	99	267	8	7	23%	10%	71	-0.3	201/292/309	108	254	10	5	23%	10%	68	-0.2
✕Thomas Milone 2018 · A	23	40→44	36→45	44→55	41	188/246/253	65	270	3	11	30%	6%	34	-2.8	227/278/332	105	314	6	14	28%	6%	68	-0.5	243/298/369	125	340	8	17	29%	6%	82	+0.3
✕Michael Papierski 2019 · A	23	38→44	39→45	47→40	54	184/290/266	83	249	7	6	27%	12%	59	-1.1	192/281/280	88	271	9	4	30%	10%	59	-1.1	204/292/309	105	261	11	0	25%	10%	68	-0.3
✕Noe Becerra 2009 · AAA	22	42	37→30	44→40	46	201/262/269	69	259	5	7	24%	7%	46	-2.0	226/280/312	86	274	7	7	19%	7%	64	-0.8	274/319/333	59	310	3	0	12%	5%	84	+0.2