Tayden Hall

C Wisconsin Timber Rattlers

Age 24 L/R 6'2" / 215 lbs A+ HR +10%K +6% Svc 0.0 · Ctrl thru 2036

Overview

A+PROSPECTMiLBFA 2037

OGV OFP35OGV rank#690ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	21	A+/A2 orgs	404	.260/.383/.347	2	5	79	—	.232/.325/.312
2025	22	A+MIL	336	.157/.339/.261	4	8	35	—	.122/.267/.201
2026	23	A+MIL	371	.264/.417/.462	12	13	93	—	.212/.333/.365
2027PROJMLE	24	MLBMIL	1	.188/.306/.297	0	0	77	0.0
2028PROJ38% MLB	25	MLBMIL	84	.192/.308/.308	2	1	80	0.2
2029PROJ55% MLB	26	MLBMIL	151	.195/.309/.314	3	3	82	0.3

Next 3 projected WAR 0.5Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$3M+2

Skills · percentileMiLB Statcast 2026 A+

Chase%96

BB%91

wOBA86

wRC+82

ISO72

Z-Con%57

Career WAR0.0 WAR median (P10 -0.1 / P90 2.6, comp-based) · star 0% · didn't stick 89%

CompsAnthony Seigler (age 24) · Daniel Vellojin (age 24) · Darrien Miller (age 23)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†77

AVG/OBP/SLG.188 / .306 / .297

PA1

HR0

K%27

BB%13

BABIP251

ISO105

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$7M 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 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
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	+0.3	$0.9M	+$0.3M
2032	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2033	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2034	Arb-1	$3M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$2M	+$0.6M

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. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 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 1-3 WAR low.

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	68	—	—	—	—	—	—
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	83	—	—	—	—	—	—
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	71	—	—	—	—	—	—
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	115	—	—	—	—	—	—
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	—	—	—	—	—	—
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	57	—	—	—	—	—	—
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	144	—	—	—	—	—	—
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	35	—	—	—	—	—	—
2026	23	A+	Wisconsin Timber Rattlers	—	371	292	77	18	2	12	68	85	9	13	5	264	417	462	880	199	330	23	18	394	93	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	19	A+ MLE	Wisconsin Timber Rattlers	—	36	31	7	2	1	0	3	10	1	0	0	226	314	355	669	129	268	28	8	268	68	—	—	—	—	—	—
2022	19	ROK MLE	ACL Brewers Blue	—	44	40	11	3	0	0	4	11	0	0	0	275	341	350	691	75	363	25	9	291	83	—	—	—	—	—	—
2023	20	A MLE	Carolina Mudcats	—	217	186	41	6	0	0	27	56	2	3	3	220	326	253	578	32	307	26	12	273	71	—	—	—	—	—	—
2023	20	ROK MLE	ACL Brewers	—	36	27	8	1	0	0	6	6	1	3	0	296	441	333	775	37	301	17	17	338	115	—	—	—	—	—	—
2024	21	A+ MLE	Wisconsin Timber Rattlers	—	304	262	52	8	1	2	29	65	7	5	2	198	295	260	555	61	239	21	10	253	57	—	—	—	—	—	—
2024	21	A MLE	Carolina Mudcats	—	100	87	29	6	3	0	12	22	0	0	0	333	414	471	885	138	428	22	12	381	144	—	—	—	—	—	—
2025	22	A+ MLE	Wisconsin Timber Rattlers	—	336	278	34	7	3	3	50	107	5	8	1	122	267	201	469	79	172	32	15	220	35	—	—	—	—	—	—
2026	23	A+ MLE	Wisconsin Timber Rattlers	—	371	312	66	14	2	10	48	108	9	13	5	212	333	365	699	154	279	29	13	306	93	—	—	—	—	—	—
2022	19	ROK MLE	2 teams	—	80	71	16	4	1	0	7	22	1	0	0	225	304	310	614	85	320	28	9	281	76	—	—	—	—	—	—
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	76	—	—	—	—	—	—
2023	20	A MLE	3 teams	—	409	345	79	12	0	0	53	101	5	8	4	229	340	264	604	35	316	25	13	282	77	—	—	—	—	—	—
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	77	—	—	—	—	—	—
2024	21	A+ MLE	2 teams	—	404	349	80	13	4	2	41	87	7	5	2	229	322	307	629	77	292	22	10	285	79	—	—	—	—	—	—
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	79	—	—	—	—	—	—
2025	22	A+ MLE	Wisconsin Timber Rattlers	—	336	278	34	7	3	3	50	107	5	8	1	122	267	201	469	79	181	32	15	220	35	—	—	—	—	—	—
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	35	—	—	—	—	—	—
2026	23	A+ MLE	Wisconsin Timber Rattlers	—	371	312	66	14	2	10	48	108	9	13	5	212	333	365	699	154	286	29	13	306	93	—	—	—	—	—	—
2026	23	A+ RAW	Wisconsin Timber Rattlers	—	371	292	77	18	2	12	68	85	9	13	5	264	417	462	880	199	330	23	18	394	93	—	—	—	—	—	—
2022	19	ROK MLE	2 teams	—	80	72	16	4	1	0	7	22	1	0	0	222	304	306	609	83	320	28	9	281	76	—	—	—	—	—	—
2023	20	A MLE	3 teams	—	409	348	79	12	0	0	53	101	5	8	4	227	340	261	601	34	306	25	13	282	77	—	—	—	—	—	—
2024	21	A+ MLE	2 teams	—	404	353	80	13	4	2	41	87	7	5	2	227	322	303	626	76	286	22	10	285	79	—	—	—	—	—	—
2025	22	A+ MLE	Wisconsin Timber Rattlers	—	336	278	34	7	3	3	50	107	5	8	1	122	267	201	469	79	172	32	15	220	35	—	—	—	—	—	—
2026	23	A+ MLE	Wisconsin Timber Rattlers	—	371	311	66	14	2	10	48	108	9	13	5	212	333	367	700	154	279	29	13	306	93	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	21	A+ MLE	2 teams	—	404	353	80	13	4	2	41	87	7	5	2	227	322	303	626	76	286	22	10	285	79	—	—	—	—	—	—
2025	22	A+ MLE	Wisconsin Timber Rattlers	—	336	278	34	7	3	3	50	107	5	8	1	122	267	201	469	79	172	32	15	220	35	—	—	—	—	—	—
2026	23	A+ MLE	Wisconsin Timber Rattlers	—	371	311	66	14	2	10	48	108	9	13	5	212	333	367	700	154	279	29	13	306	93	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	24	MLB MLE	MIL	0%	380	322	61	12	2	6	49	103	6	7	2	190	308	299	607	109	255	27	13	282	77	-10	+1	+0	+7	+8	0.4
▸ 2027 — real world (MLB)
2027	24	MLB CTX	MIL	0%	1	1	0	0	0	0	0	0	0	0	0	188	306	297	603	109	251	0	0	281	77	-0	+0	+0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	MIL	38%	222	189	36	7	1	4	28	59	3	4	1	194	310	310	620	116	257	27	13	287	80	-5	+0	+0	+4	+5	0.4
2029	26	MLB MLE	MIL	55%	273	233	46	9	2	5	34	72	4	5	1	197	311	316	627	119	259	26	12	289	82	-6	+1	+0	+5	+6	0.6
2030	27	MLB MLE	MIL	61%	300	256	51	10	2	6	37	79	4	5	2	198	310	318	628	120	260	26	12	289	82	-6	+0	+0	+5	+6	0.6
2031	28	MLB MLE	MIL	65%	314	269	54	11	2	6	38	83	4	4	2	199	308	318	627	119	261	26	12	288	81	-7	+0	-1	+6	+7	0.5
2032	29	MLB MLE	MIL	70%	312	268	54	11	2	6	37	83	4	3	1	199	306	316	622	117	261	27	12	287	80	-7	+0	-1	+6	+7	0.4
2033	30	MLB MLE	MIL	74%	309	265	52	10	1	6	37	83	4	2	1	196	303	308	611	112	259	27	12	282	77	-8	+0	-2	+6	+7	0.2
2034	31	MLB MLE	MIL	76%	280	241	46	9	1	5	33	76	4	1	2	191	298	298	595	106	255	27	12	276	73	-9	-1	-3	+5	+6	-0.1
2028	25	MLB CTX	MIL	38%	84	72	14	3	0	2	11	22	1	1	0	192	308	308	616	116	253	26	13	285	80	-2	+0	+0	+1	+2	0.2
2029	26	MLB CTX	MIL	55%	151	129	25	5	1	3	19	40	2	3	1	195	309	314	623	119	254	26	13	288	82	-3	+0	+0	+3	+3	0.3
2030	27	MLB CTX	MIL	61%	184	156	31	6	1	4	23	49	3	3	1	196	308	316	624	120	256	27	12	288	82	-4	+0	+0	+3	+4	0.4
2031	28	MLB CTX	MIL	65%	203	173	34	6	1	4	25	54	3	3	1	197	307	316	623	119	256	27	12	287	81	-4	+0	-0	+4	+4	0.3
2032	29	MLB CTX	MIL	70%	218	187	37	7	1	4	26	58	3	2	1	197	304	314	619	118	256	27	12	285	80	-5	+0	-1	+4	+5	0.3
2033	30	MLB CTX	MIL	74%	228	196	37	7	1	4	27	61	3	2	1	194	301	306	607	113	254	27	12	280	77	-6	+0	-2	+4	+5	0.1
2034	31	MLB CTX	MIL	76%	214	184	36	7	1	4	25	58	3	1	2	189	296	296	592	107	251	27	12	274	73	-7	-1	-2	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1282	1097	214	41	6	25	156	342	18	15	7	195	305	312	617	117	257	27	12	283	76	-32	+0	-5	+23	+28	1.4
/ 162G	—	A+C		—	650	556	109	21	3	13	79	173	9	8	4	196	306	315	621	119	257	27	12	283	76	-16	+0	-3	+12	+14	0.7
Career	—	MLE		—	3802	3238	644	123	22	56	468	1012	57	61	23	199	311	302	613	103	267	27	12	281	76	-55	+1	-7	+39	+48	2.7
/ 162G	—	MLE		—	650	554	111	21	4	10	80	173	10	10	4	200	312	307	619	106	269	27	12	281	76	-16	+0	-2	+12	+14	0.8

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 A+Wisconsin Timber Rattlers · 371 PAwOBA .386 → .306 (−80)K% 22.9% → 29.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.91%	÷1.000	×1.270	—	—	29.10%
BB% (unintentional) /PA	18.33%	÷1.000	×0.710	—	×0.998	12.99%
HBP% /PA	2.43%	—	×0.790	—	×0.998	1.91%
Singles /BIP	21.74%	÷1.000	×0.920	×0.965	×0.998	19.27%
Doubles /BIP	8.70%	÷1.000	×0.810	×0.965	×0.998	6.79%
Triples /BIP	0.97%	÷1.000	×0.850	×0.965	×0.998	0.79%
Home runs /BIP	5.80%	÷1.000	×0.800	—	×0.998	4.63%

Factors used: league row Midwest League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.965.

Result: wOBA .386 → .306; ISO .199 → .158; BABIP .330 → .279. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 A+Wisconsin Timber Rattlers · 336 PAwOBA .288 → .220 (−68)K% 23.5% → 31.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.51%	÷0.943	×1.270	—	—	31.65%
BB% (unintentional) /PA	19.94%	÷0.965	×0.710	—	×1.012	14.85%
HBP% /PA	1.49%	—	×0.790	—	×1.012	1.19%
Singles /BIP	13.74%	÷1.023	×0.920	×0.953	×1.012	11.91%
Doubles /BIP	4.95%	÷1.013	×0.810	×0.953	×1.012	3.81%
Triples /BIP	1.65%	÷0.900	×0.850	×0.953	×1.012	1.50%
Home runs /BIP	2.20%	÷1.246	×0.800	—	×1.012	1.43%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 149, 1B 105, 2B 103, 3B 80, K 89, BB 93 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.953.

Result: wOBA .288 → .220; ISO .103 → .075; BABIP .204 → .172. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 A+Wisconsin Timber Rattlers · 304 PAwOBA .295 → .253 (−42)K% 16.8% → 21.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.78%	÷0.993	×1.270	—	—	21.46%
BB% (unintentional) /PA	13.16%	÷0.995	×0.710	—	×1.027	9.65%
HBP% /PA	2.30%	—	×0.790	—	×1.027	1.87%
Singles /BIP	21.72%	÷1.022	×0.920	×1.003	×1.027	20.15%
Doubles /BIP	4.55%	÷0.991	×0.810	×1.003	×1.027	3.83%
Triples /BIP	0.51%	÷1.150	×0.850	×1.003	×1.027	0.38%
Home runs /BIP	1.01%	÷0.979	×0.800	—	×1.027	0.85%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 96, 1B 104, 2B 98, 3B 130, K 99, BB 99 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.003.

Result: wOBA .295 → .253; ISO .068 → .058; BABIP .262 → .239. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 ACarolina Mudcats · 100 PAwOBA .437 → .381 (−56)K% 16.0% → 21.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.00%	÷1.013	×1.360	—	—	21.49%
BB% (unintentional) /PA	17.00%	÷0.980	×0.690	—	×1.015	12.15%
HBP% /PA	0.00%	—	×0.780	—	×1.015	0.00%
Singles /BIP	33.33%	÷1.066	×0.920	×1.050	×1.015	30.67%
Doubles /BIP	9.09%	÷0.962	×0.830	×1.050	×1.015	8.36%
Triples /BIP	4.55%	÷1.007	×0.910	×1.050	×1.015	4.38%
Home runs /BIP	0.00%	÷1.101	×0.800	—	×1.015	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 120, 1B 113, 2B 92, 3B 101, K 103, BB 96 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .437 → .381; ISO .146 → .138; BABIP .463 → .428. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 ACarolina Mudcats · 217 PAwOBA .335 → .273 (−62)K% 18.9% → 26.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.89%	÷0.990	×1.360	—	—	25.95%
BB% (unintentional) /PA	17.97%	÷1.018	×0.690	—	×1.030	12.55%
HBP% /PA	0.92%	—	×0.780	—	×1.030	0.74%
Singles /BIP	28.79%	÷1.049	×0.920	×1.013	×1.030	26.32%
Doubles /BIP	6.06%	÷1.090	×0.830	×1.013	×1.030	4.81%
Triples /BIP	0.00%	÷0.900	×0.910	×1.013	×1.030	0.00%
Home runs /BIP	0.00%	÷1.072	×0.800	—	×1.030	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 114, 1B 110, 2B 118, 3B 80, K 98, BB 104 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.

Result: wOBA .335 → .273; ISO .046 → .037; BABIP .343 → .307. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 ROKACL Brewers · 36 PAwOBA .422 → .338 (−83)K% 11.1% → 16.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.11%	÷0.969	×1.440	—	—	16.52%
BB% (unintentional) /PA	25.00%	÷0.998	×0.620	—	×0.995	15.45%
HBP% /PA	2.78%	—	×0.720	—	×0.995	1.99%
Singles /BIP	35.00%	÷0.991	×0.820	—	×0.995	28.83%
Doubles /BIP	5.00%	÷0.952	×0.720	—	×0.995	3.76%
Triples /BIP	0.00%	÷0.923	×0.720	—	×0.995	0.00%
Home runs /BIP	0.00%	÷0.898	×0.780	—	×0.995	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 80, 1B 98, 2B 90, 3B 85, K 94, BB 100 — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average).

Result: wOBA .422 → .338; ISO .042 → .037; BABIP .364 → .301. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 ROKACL Brewers Blue · 44 PAwOBA .407 → .291 (−116)K% 18.2% → 26.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.18%	÷1.005	×1.440	—	—	26.06%
BB% (unintentional) /PA	13.64%	÷0.963	×0.620	—	×1.008	8.85%
HBP% /PA	0.00%	—	×0.720	—	×1.008	0.00%
Singles /BIP	33.33%	÷1.024	×0.820	—	×1.008	26.88%
Doubles /BIP	13.33%	÷1.030	×0.720	—	×1.008	9.39%
Triples /BIP	0.00%	÷0.922	×0.720	—	×1.008	0.00%
Home runs /BIP	0.00%	÷1.005	×0.780	—	×1.008	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 101, 1B 105, 2B 106, 3B 84, K 101, BB 93 — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average).

Result: wOBA .407 → .291; ISO .105 → .071; BABIP .467 → .363. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 A+Wisconsin Timber Rattlers · 36 PAwOBA .316 → .268 (−48)K% 22.2% → 28.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷0.977	×1.270	—	—	28.89%
BB% (unintentional) /PA	11.11%	÷0.944	×0.710	—	×1.050	8.78%
HBP% /PA	2.78%	—	×0.790	—	×1.050	2.30%
Singles /BIP	18.18%	÷1.083	×0.920	—	×1.050	16.21%
Doubles /BIP	9.09%	÷1.049	×0.810	—	×1.050	7.37%
Triples /BIP	4.55%	÷0.900	×0.850	—	×1.050	4.51%
Home runs /BIP	0.00%	÷0.885	×0.800	—	×1.050	0.00%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 77, 1B 117, 2B 110, 3B 80, K 95, BB 89 — applied at half strength. Age: age 19 vs a level average of 22.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average).

Result: wOBA .316 → .268; ISO .133 → .118; BABIP .304 → .268. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jacob Stallingslast yr '25 career totals — 7 seasons, 1,850 PA	2.8	1,850	33	0	229	310	340	+33	+50	10.3	10.3
/162	664	12	0	+11.9	+17.9	3.7	pk7: 10
#2Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#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
#4Charlie O'Brien'85-'00 * career totals — 12 seasons, 2,560 PA	3.9	2,560	56	1	214*	295*	358*	+46	+0	5.0	5.6
/162	664	15	0	+11.9	+0.0	1.3	pk7: 6
#5Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	pk7: 4
#6Marc Hill'73-'86 * career totals — 10 seasons, 2,047 PA	3.1	2,047	34	1	218*	292*	337*	+35	-0	2.6	3.3
/162	664	11	0	+11.4	-0.0	0.8	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.9	1,284	24	14	197	303	313	+23	+16	2.6	2.6
/162	664	12	7	+11.9	+8.3	1.3	pk7: 3

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)	24	25	30	45	60	188/305/297	108	255	3	3	27%	13%	77	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Anthony Seigler 2023 · A	24	39→40	42→45	46→55	54	193/293/304	111	262	9	11	28%	12%	73	-0.6	198/296/310	112	251	10	20	23%	12%	75	-0.5	221/312/347	126	270	10	25	21%	11%	87	+0.2
✕Daniel Vellojin 2024 · AA	24	39	43→45	45	49	192/277/302	110	267	11	6	30%	10%	66	-1.1	177/253/266	89	250	8	6	31%	8%	49	-2.4	150/230/223	73	210	7	4	31%	8%	29	-1.4
✕Darrien Miller 2024 · A	23	39→42	44→45	48→45	47	194/289/310	116	258	12	6	28%	9%	74	-0.6	192/313/294	102	262	8	5	27%	11%	80	-0.2	179/320/285	107	245	9	4	27%	12%	79	-0.1
✕Greg Cullen 2021 · A	24	45→44	41→40	43→40	48	218/299/320	102	275	8	3	23%	8%	78	-0.3	229/320/333	104	307	10	5	26%	10%	89	+0.5	229/333/321	92	311	9	4	26%	12%	89	+0.2
✕Phil Clarke 2022 · A	24	45	41→40	44→45	46	219/293/320	101	273	8	4	22%	7%	76	-0.4	223/305/310	87	267	8	6	18%	9%	78	-0.3	232/316/308	77	265	7	7	15%	9%	78	-0.1
✕Andy Thomas 2022 · A	24	45→40	40	48→40	48	216/291/310	94	293	7	7	27%	9%	72	-0.7	204/285/304	100	285	10	4	30%	9%	70	-0.9	194/274/283	90	264	10	4	28%	9%	58	-1.2
✕Pratt Maynard 2014 · A	24	44	41→45	45	50	214/281/308	94	263	8	6	22%	8%	68	-1.0	224/283/334	110	291	8	6	24%	8%	74	-0.5	230/280/355	125	304	6	0	25%	6%	78	-0.1
✕Casey Turgeon 2017 · AA	24	44	39→40	47→45	54	210/298/302	91	261	5	7	20%	10%	74	-0.6	208/287/304	96	270	9	8	24%	9%	70	-0.8	186/273/268	81	238	10	6	25%	9%	55	-1.1
✕Anthony Vilar 2023 · A	24	44→40	39→40	45→50	48	207/286/296	89	299	6	6	30%	10%	68	-1.0	193/282/289	96	302	9	8	35%	10%	65	-1.2	189/273/277	89	282	8	11	33%	10%	57	-1.1
✕Kawika Emsley-Pai 2013 · A	24	42	36→30	46→40	55	197/296/268	72	273	3	7	26%	12%	66	-1.1	193/287/268	75	277	5	7	29%	11%	62	-1.4	157/268/213	56	230	5	4	30%	12%	43	-0.7
✕Graysen Tarlow 2024 · A	23	45	43→30	49→40	50	217/307/331	113	283	10	8	25%	9%	84	+0.1	211/291/285	74	299	6	6	29%	8%	68	-1.0	224/307/292	68	313	6	7	28%	8%	76	-0.1
✕Peter Burns 2024 · A	24	41	40→30	49→30	44	197/282/289	91	274	7	8	29%	7%	65	-1.2	203/284/277	74	273	5	6	26%	8%	63	-1.3	190/277/242	52	253	6	2	25%	9%	51	-0.7
✕Jose Herrera 2021 · A	24	44	40	47→40	51	210/290/306	96	280	8	5	26%	10%	72	-0.7	223/296/316	93	296	9	5	25%	9%	76	-0.4	220/296/301	80	288	8	3	24%	9%	70	-0.4
✕Ty Hanchey 2024 · A	24	44	40→45	50→40	50	210/283/302	91	268	7	8	23%	9%	68	-1.0	213/283/312	99	296	9	5	29%	8%	70	-0.8	207/277/307	100	297	10	3	32%	7%	65	-0.5
✕Austin Davidson 2017 · A	24	44→42	44→45	43→45	48	216/287/333	117	252	11	6	19%	7%	76	-0.4	221/281/332	111	278	9	6	23%	7%	74	-0.6	214/275/321	107	273	9	5	23%	7%	67	-0.7
✕Taylor Krick 2011 · A	23	43	39→30	48→40	50	207/292/287	80	272	6	7	25%	9%	68	-1.0	226/310/289	63	311	3	5	26%	8%	76	-0.4	233/322/283	50	324	2	2	25%	8%	76	-0.2
✕Taylor Grzelakowski 2018 · A	24	43	40→45	50→30	42	208/259/303	95	280	8	8	28%	6%	59	-1.7	210/270/304	94	317	6	3	33%	7%	63	-1.4	201/266/291	90	303	6	1	33%	8%	57	-1.0
✕J.C. Escarra 2019 · A	24	40→45	38→45	47→45	47	190/268/274	84	250	5	5	25%	8%	57	-1.8	198/260/295	97	245	10	4	23%	6%	57	-1.8	220/289/338	117	255	10	3	17%	7%	76	-0.2
✕Aaron Antonini 2022 · AA	24	38	44→40	47→45	44	186/292/296	110	278	12	5	34%	9%	72	-0.7	199/281/311	112	264	13	7	28%	7%	71	-0.8	180/263/288	108	238	13	6	29%	7%	57	-0.5
✕Brian Jeroloman 2010 · AAA	25	45→39	40	47→40	52	214/302/302	88	296	7	2	28%	11%	76	-0.4	209/299/295	86	309	8	5	31%	11%	73	-0.6	199/299/269	69	295	6	4	31%	11%	64	-0.6

Tayden Hall

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps