Tai Peete

OF Peoria Chiefs

Age 21 L/R 6'2" / 193 lbs A+ HR -14%BB -5% Svc 0.0 · Ctrl thru 2033

Overview

A+PROSPECTMiLBFA 2034

OGV OFP35OGV rank#2221ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	AModesto Nuts	528	.269/.346/.408	7	45	59	—	.211/.270/.310
2025	19	A+SEA	529	.217/.290/.404	19	25	35	—	.156/.214/.281
2026	20	AA/A+/INTL2 orgs	361	.316/.382/.595	15	25	124	—	.252/.300/.456
2027PROJMLE	21	MLBSTL	1	.199/.253/.345	0	0	67	-0.0
2028PROJ35% MLB	22	MLBSTL	101	.206/.262/.364	3	3	75	-0.1
2029PROJ49% MLB	23	MLBSTL	180	.212/.269/.378	6	5	81	-0.1

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2033Service0.0First FA2034

2027MiLB2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Arb-1$1M2032Arb-2$2M2033Arb-3$3M

Skills · percentileMiLB Statcast 2026 AA

Speed83

wOBA78

wRC+74

ISO63

K%59

Whiff%48

Career WAR0.0 WAR median (P10 -0.2 / P90 5.4, comp-based) · star 6% · didn't stick 78%

CompsKahlil Watson (age 21) · Marcelo Mayer (age 21) · Jeremy Moore (age 22)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†67

AVG/OBP/SLG.199 / .253 / .345

PA1

HR0

K%35

BB%6

BABIP283

ISO155

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control-$6M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	—	—	—
2029	Pre-Arb	$0.8M	—	—	—
2030	Pre-Arb	$0.8M	—	—	—
2031	Arb-1	$1M	+0.1	$0.3M	+$0.0M (cut)
2032	Arb-2	$2M	+0.2	$0.5M	+$0.0M (cut)
2033	Arb-3	$3M	+0.1	$0.3M	+$0.0M (cut)
Totals		$0.0M		$0.4M	+$0.0M

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.

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	A	Modesto Nuts	—	67	62	15	3	0	2	5	19	0	3	0	242	299	387	686	145	317	28	7	307	51	—	—	—	—	—	—
2023	17	ROK	ACL Mariners	—	42	37	13	1	1	0	5	11	0	3	1	351	429	432	861	81	500	26	12	389	68	—	—	—	—	—	—
2024	18	A	Modesto Nuts	—	528	468	126	26	9	7	55	162	0	45	5	269	346	408	754	139	391	31	10	335	59	—	—	—	—	—	—
2025	19	A+	Everett AquaSox	—	529	475	103	24	4	19	46	162	3	25	11	217	290	404	694	187	282	31	9	306	35	—	—	—	—	—	—
2026	20	AA	Springfield Cardinals	—	100	94	30	5	1	3	6	23	0	4	2	319	360	489	849	170	397	23	6	375	101	—	—	—	—	—	—
2026	20	A+	Peoria Chiefs	—	200	180	54	14	6	10	20	57	0	11	6	300	370	611	981	311	389	28	10	421	105	—	—	—	—	—	—
2026	20	INTL	Peoria Javelinas	—	61	52	19	5	4	2	9	15	0	10	3	365	459	731	1.190	365	486	25	15	501	225	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	A MLE	Modesto Nuts	—	67	63	13	2	0	2	4	25	0	3	0	206	254	333	587	127	302	37	6	244	51	—	—	—	—	—	—
2023	17	ROK MLE	ACL Mariners	—	42	39	10	1	1	0	3	16	0	3	1	256	310	333	643	77	416	38	7	268	68	—	—	—	—	—	—
2024	18	A MLE	Modesto Nuts	—	528	484	102	18	6	6	39	222	0	45	5	211	270	310	580	99	361	42	7	256	59	—	—	—	—	—	—
2025	19	A+ MLE	Everett AquaSox	—	529	488	76	18	2	13	33	229	3	25	11	156	214	281	494	125	248	43	6	220	35	—	—	—	—	—	—
2026	20	AA MLE	Springfield Cardinals	—	100	96	26	4	1	2	4	28	0	4	2	271	300	396	696	125	378	28	4	317	101	—	—	—	—	—	—
2026	20	A+ MLE	Peoria Chiefs	—	200	185	45	11	5	8	15	72	0	11	6	243	300	486	786	243	347	36	8	324	105	—	—	—	—	—	—
2023	17	A MLE	2 teams	—	109	102	23	3	1	2	7	41	0	6	1	225	275	333	609	108	356	38	6	253	58	—	—	—	—	—	—
2023	17	A RAW	2 teams	—	109	99	28	4	1	2	10	30	0	6	1	283	349	404	753	121	388	28	9	338	58	—	—	—	—	—	—
2024	18	A MLE	Modesto Nuts	—	528	484	102	18	6	6	39	222	0	45	5	211	270	310	580	99	368	42	7	256	59	—	—	—	—	—	—
2024	18	A RAW	Modesto Nuts	—	528	468	126	26	9	7	55	162	0	45	5	269	346	408	754	139	391	31	10	335	59	—	—	—	—	—	—
2025	19	A+ MLE	Everett AquaSox	—	529	488	76	18	2	13	33	229	3	25	11	156	214	281	494	125	252	43	6	220	35	—	—	—	—	—	—
2025	19	A+ RAW	Everett AquaSox	—	529	475	103	24	4	19	46	162	3	25	11	217	290	404	694	187	282	31	9	306	35	—	—	—	—	—	—
2026	20	A+ MLE	3 teams	—	361	338	86	18	7	12	23	121	0	25	11	254	302	456	758	201	361	34	6	322	104	—	—	—	—	—	—
2026	20	A+ RAW	3 teams	—	361	326	103	24	11	15	35	95	0	25	11	316	382	595	977	279	407	26	10	422	104	—	—	—	—	—	—
2023	17	A MLE	2 teams	—	109	101	23	3	1	2	7	41	0	6	1	228	275	337	612	109	346	38	6	253	58	—	—	—	—	—	—
2024	18	A MLE	Modesto Nuts	—	528	484	102	18	6	6	39	222	0	45	5	211	270	310	580	99	361	42	7	256	59	—	—	—	—	—	—
2025	19	A+ MLE	Everett AquaSox	—	529	488	76	18	2	13	33	229	3	25	11	156	214	281	494	125	248	43	6	220	35	—	—	—	—	—	—
2026	20	A+ MLE	3 teams	—	361	335	86	18	7	12	23	121	0	25	11	257	302	460	762	203	357	34	6	322	104	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	A MLE	Modesto Nuts	—	528	484	102	18	6	6	39	222	0	45	5	211	270	310	580	99	361	42	7	256	59	—	—	—	—	—	—
2025	19	A+ MLE	Everett AquaSox	—	529	488	76	18	2	13	33	229	3	25	11	156	214	281	494	125	248	43	6	220	35	—	—	—	—	—	—
2026	20	A+ MLE	3 teams	—	361	335	86	18	7	12	23	121	0	25	11	257	302	460	762	203	357	34	6	322	104	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	STL	0%	410	380	76	16	4	11	26	142	1	12	5	199	254	349	603	150	281	35	6	267	67	-16	+0	+0	-2	+9	-0.3
▸ 2027 — real world (MLB)
2027	21	MLB CTX	STL	0%	1	1	0	0	0	0	0	0	0	0	0	199	253	345	598	145	283	0	0	265	67	-0	+0	+0	-0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	STL	35%	292	270	56	11	3	9	19	98	1	9	4	207	263	370	633	163	283	34	7	279	75	-9	+0	+0	-2	+6	-0.3
2029	23	MLB MLE	STL	49%	371	342	73	15	3	13	25	121	1	11	4	212	270	385	655	173	284	33	7	289	81	-8	+1	+1	-2	+8	-0.1
2030	24	MLB MLE	STL	53%	419	384	84	17	4	15	30	133	2	12	5	217	276	394	670	178	286	32	7	295	86	-7	+0	+1	-3	+9	0.1
2031	25	MLB MLE	STL	55%	444	407	90	18	4	16	32	139	2	13	5	219	279	399	678	180	286	31	7	298	88	-6	+1	+1	-3	+10	0.2
2032	26	MLB MLE	STL	56%	496	455	100	20	4	18	36	153	2	14	5	220	282	401	682	180	286	31	7	300	89	-6	+1	+1	-3	+11	0.4
2033	27	MLB MLE	STL	55%	456	418	91	18	4	16	33	141	2	12	5	219	281	398	679	179	286	31	7	299	88	-6	+0	+1	-3	+10	0.2
2034	28	MLB MLE	STL	55%	452	414	91	18	4	16	33	141	2	10	5	217	278	393	672	176	284	31	7	296	87	-7	+0	+0	-3	+10	0.0
2035	29	MLB MLE	STL	53%	441	404	86	17	3	15	32	139	2	9	4	215	276	387	663	172	283	32	7	292	84	-8	+0	-0	-3	+10	-0.2
2036	30	MLB MLE	STL	53%	430	394	82	16	3	14	31	137	2	7	4	212	272	379	651	168	281	32	7	288	81	-10	-0	-1	-3	+9	-0.4
2028	22	MLB CTX	STL	35%	101	93	19	4	1	3	7	34	0	3	1	206	262	364	626	158	285	34	7	277	75	-3	+0	+0	-1	+2	-0.1
2029	23	MLB CTX	STL	49%	180	165	35	7	2	6	12	59	1	5	2	212	269	378	648	167	286	33	7	286	81	-4	+0	+0	-1	+4	-0.1
2030	24	MLB CTX	STL	53%	221	202	43	9	2	7	16	70	1	7	3	216	275	387	662	172	287	32	7	292	86	-4	+0	+1	-1	+5	0.0
2031	25	MLB CTX	STL	55%	243	223	48	10	2	8	17	76	1	7	3	218	278	392	670	174	288	31	7	295	88	-3	+0	+1	-1	+5	0.1
2032	26	MLB CTX	STL	56%	276	253	54	11	2	9	20	85	1	8	3	220	281	393	674	174	288	31	7	297	89	-3	+0	+1	-2	+6	0.2
2033	27	MLB CTX	STL	55%	251	230	49	10	2	8	18	78	1	7	3	218	280	391	671	172	287	31	7	296	88	-3	+0	+1	-2	+5	0.1
2034	28	MLB CTX	STL	55%	247	226	49	10	2	8	18	77	1	6	2	217	278	386	664	170	286	31	7	293	87	-4	+0	+0	-1	+5	0.1
2035	29	MLB CTX	STL	53%	235	215	47	10	2	8	17	74	1	5	2	214	275	380	655	166	285	31	7	290	84	-4	+0	-0	-1	+5	-0.1
2036	30	MLB CTX	STL	53%	226	207	44	9	2	7	16	72	1	4	2	211	271	373	644	162	282	32	7	285	81	-5	+0	-1	-1	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1980	1814	388	80	17	64	141	625	8	52	21	214	274	383	656	169	286	32	7	291	78	-35	+2	+2	-12	+43	0.1
/ 162G	—	A+C		—	650	596	128	26	6	21	46	205	3	17	7	215	275	384	659	169	287	32	7	291	78	-11	+1	+1	-4	+14	0.0
Career	—	MLE		—	5538	5094	1079	215	50	171	386	1888	20	204	72	212	270	374	644	163	297	34	7	283	78	-77	+3	+5	-24	+87	-0.6
/ 162G	—	MLE		—	650	598	126	25	6	20	45	222	2	24	8	211	268	373	641	162	295	34	7	283	78	-12	+0	+1	-4	+14	-0.1

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+Peoria Chiefs · 200 PAwOBA .409 → .324 (−85)K% 28.5% → 36.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.50%	÷1.000	×1.270	—	—	36.20%
BB% (unintentional) /PA	10.00%	÷1.000	×0.710	—	×1.027	7.29%
HBP% /PA	0.00%	—	×0.790	—	×1.027	0.00%
Singles /BIP	19.51%	÷1.000	×0.920	×1.008	×1.027	18.59%
Doubles /BIP	11.38%	÷1.000	×0.810	×1.008	×1.027	9.55%
Triples /BIP	4.88%	÷1.000	×0.850	×1.008	×1.027	4.29%
Home runs /BIP	8.13%	÷1.000	×0.800	—	×1.027	6.68%

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 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 ×1.008.

Result: wOBA .409 → .324; ISO .311 → .240; BABIP .389 → .347. 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).

2026 AASpringfield Cardinals · 100 PAwOBA .364 → .317 (−47)K% 23.0% → 28.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.00%	÷1.000	×1.220	—	—	28.06%
BB% (unintentional) /PA	6.00%	÷1.000	×0.700	—	×1.050	4.41%
HBP% /PA	0.00%	—	×0.870	—	×1.050	0.00%
Singles /BIP	29.58%	÷1.000	×0.920	×1.007	×1.050	28.78%
Doubles /BIP	7.04%	÷1.000	×0.840	×1.007	×1.050	6.26%
Triples /BIP	1.41%	÷1.000	×0.940	×1.007	×1.050	1.40%
Home runs /BIP	4.23%	÷1.000	×0.800	—	×1.050	3.55%

Factors used: league row TL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.

Result: wOBA .364 → .317; ISO .170 → .142; BABIP .397 → .378. 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+Everett AquaSox · 529 PAwOBA .299 → .220 (−79)K% 30.6% → 43.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.62%	÷0.957	×1.350	—	—	43.18%
BB% (unintentional) /PA	8.51%	÷0.999	×0.710	—	×1.042	6.30%
HBP% /PA	0.57%	—	×0.810	—	×1.042	0.48%
Singles /BIP	17.89%	÷1.001	×0.910	×0.963	×1.042	16.32%
Doubles /BIP	7.67%	÷0.955	×0.830	×0.963	×1.042	6.69%
Triples /BIP	1.28%	÷1.150	×0.820	×0.963	×1.042	0.91%
Home runs /BIP	6.07%	÷1.036	×0.830	—	×1.042	5.07%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 100, 2B 91, 3B 130, K 91, BB 100 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.963.

Result: wOBA .299 → .220; ISO .187 → .132; BABIP .282 → .248. 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 AModesto Nuts · 528 PAwOBA .329 → .256 (−73)K% 30.7% → 42.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.68%	÷0.993	×1.360	—	—	42.01%
BB% (unintentional) /PA	10.23%	÷1.010	×0.690	—	×1.045	7.30%
HBP% /PA	0.00%	—	×0.780	—	×1.045	0.00%
Singles /BIP	27.45%	÷0.970	×0.920	×0.987	×1.045	26.83%
Doubles /BIP	8.50%	÷1.076	×0.830	×0.987	×1.045	6.76%
Triples /BIP	2.94%	÷1.150	×0.910	×0.987	×1.045	2.40%
Home runs /BIP	2.29%	÷0.897	×0.800	—	×1.045	2.13%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 79, 1B 94, 2B 115, 3B 130, K 99, BB 102 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.987.

Result: wOBA .329 → .256; ISO .139 → .103; BABIP .391 → .361. 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 AModesto Nuts · 67 PAwOBA .298 → .244 (−54)K% 28.4% → 37.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.36%	÷1.026	×1.360	—	—	37.60%
BB% (unintentional) /PA	7.46%	÷1.013	×0.690	—	×1.050	5.34%
HBP% /PA	0.00%	—	×0.780	—	×1.050	0.00%
Singles /BIP	23.26%	÷0.974	×0.920	—	×1.050	23.08%
Doubles /BIP	6.98%	÷1.050	×0.830	—	×1.050	5.79%
Triples /BIP	0.00%	÷1.150	×0.910	—	×1.050	0.00%
Home runs /BIP	4.65%	÷0.883	×0.800	—	×1.050	4.43%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 77, 1B 95, 2B 110, 3B 130, K 105, BB 103 — applied at half strength. Age: age 18 vs a level average of 22.0 → +5.0% on BB/HBP/hit rates (4.0 yr younger than average).

Result: wOBA .298 → .244; ISO .145 → .118; BABIP .317 → .302. 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 Mariners · 42 PAwOBA .380 → .268 (−112)K% 26.2% → 38.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.19%	÷0.992	×1.440	—	—	38.02%
BB% (unintentional) /PA	11.90%	÷0.989	×0.620	—	×1.022	7.63%
HBP% /PA	0.00%	—	×0.720	—	×1.022	0.00%
Singles /BIP	42.31%	÷0.987	×0.820	—	×1.022	35.93%
Doubles /BIP	3.85%	÷0.993	×0.720	—	×1.022	2.85%
Triples /BIP	3.85%	÷1.000	×0.720	—	×1.022	2.83%
Home runs /BIP	0.00%	÷0.945	×0.780	—	×1.022	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 97, 2B 99, 3B 100, K 98, BB 98 — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average).

Result: wOBA .380 → .268; ISO .081 → .053; BABIP .500 → .416. 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
#1Franklin Stubbs'84-'95 * career totals — 9 seasons, 2,899 PA	4.4	2,899	104	74	229*	301*	428*	-43	+18	6.0	6.2
/162	664	24	17	-9.8	+4.2	1.4	pk7: 6
#2Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#3Chris Heiseylast yr '17 career totals — 8 seasons, 1,758 PA	2.6	1,758	62	25	238	296	413	-18	+3	3.0	3.2
/162	664	23	9	-6.7	+1.0	1.1	pk7: 4
#4Larry Stahl'64-'73 * career totals — 9 seasons, 1,889 PA	2.8	1,889	36	22	235*	297*	387*	-16	+11	2.4	2.9
/162	664	13	8	-5.5	+3.9	0.8	pk7: 4
#5Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.0	1,981	69	50	217	274	393	-12	+10	1.0	1.1
/162	664	23	17	-4.0	+3.4	0.3	pk7: 1
#6Karim Garcia'95-'04 * career totals — 6 seasons, 1,560 PA	2.3	1,560	66	10	231*	269*	413*	-16	-3	-1.0	0.1
/162	664	28	4	-6.7	-1.3	-0.4	pk7: 1

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
Tai Peete (OGILVIE)	21	—	—	—	—	198/251/346	148	281	6	6	35%	6%	67	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Kahlil Watson 2024 · A	21	38→43	45→50	55	40	189/266/313	124	301	13	20	39%	8%	65	-1.2	204/277/348	144	305	16	20	36%	8%	77	-0.3	203/280/353	149	296	17	24	35%	8%	76	-0.3
✕Marcelo Mayer 2024 · AA	21	42→47	49→50	50	43	213/279/366	153	297	17	12	33%	8%	81	-0.1	235/289/373	138	304	15	10	26%	7%	86	+0.3	240/295/371	130	302	14	9	24%	7%	87	+0.2
✕Jeremy Moore 2009 · A	22	36→46	49→55	56→55	32	191/230/344	153	289	17	18	40%	4%	57	-1.8	232/270/377	145	340	14	17	34%	5%	79	-0.2	246/283/398	152	347	14	19	32%	4%	87	+0.3
✕Travis Blankenhorn 2018 · A	21	42→45	45→50	55→50	39	207/270/339	132	294	12	8	32%	6%	72	-0.7	210/260/342	132	294	14	8	32%	5%	68	-1.0	208/282/359	151	278	18	6	31%	8%	78	-0.2
✕Daz Cameron 2018 · A	21	42→48	45→50	53→55	40	206/268/336	130	291	12	19	32%	6%	70	-0.8	209/279/335	126	306	11	17	33%	7%	74	-0.5	227/297/394	166	289	18	26	27%	8%	92	+0.3
✕Bo Naylor 2022 · AA	22	35→45	45→55	54→50	40	182/245/305	123	268	13	11	36%	7%	54	-2.0	218/306/386	168	285	19	13	29%	11%	97	+1.1	218/311/396	178	274	21	12	27%	11%	100	+1.0
✕Dylan Cozens 2015 · A	21	40→50	46→55	51→50	36	206/248/336	130	294	14	13	34%	5%	62	-1.4	216/265/362	146	324	16	14	36%	6%	75	-0.5	175/272/377	201	299	26	16	47%	11%	81	-0.0
✕Jason Pridie 2006 · AA	22	43→53	46→50	55	39	215/265/350	135	303	13	16	33%	6%	72	-0.7	235/269/348	113	299	9	17	24%	4%	72	-0.7	249/278/382	133	310	11	22	23%	3%	81	-0.1
✕Carlos Jimenez 2024 · A	21	39→44	40→50	52→55	44	186/271/278	93	294	7	15	36%	9%	59	-1.7	222/298/356	134	324	13	17	33%	9%	86	+0.3	223/303/376	153	308	17	18	31%	10%	89	+0.4
✕Trey Sweeney 2023 · AA	23	38→45	48→50	57→55	45	200/273/344	144	263	16	19	30%	8%	74	-0.5	218/289/354	136	286	15	17	28%	8%	82	+0.0	219/291/353	133	286	15	17	27%	8%	81	-0.1
✕A.J. Vukovich 2023 · AA	22	45→52	48→50	56→55	34	228/260/366	137	312	17	21	32%	4%	74	-0.6	230/279/368	138	334	15	13	34%	6%	81	-0.1	242/296/390	149	347	17	2	33%	6%	89	+0.4
✕Alexander Canario 2022 · A	22	37→36	50→60	50	36	195/243/346	150	282	18	14	37%	6%	63	-1.4	213/276/401	188	298	24	14	35%	7%	89	+0.5	210/280/412	202	285	27	13	35%	8%	90	+0.4
✕Gabriel Rincones Jr. 2024 · A	23	41→42	47→50	54→55	42	207/279/346	139	294	14	18	33%	8%	77	-0.3	212/287/351	139	290	15	20	30%	8%	81	-0.1	206/286/345	139	274	16	20	29%	8%	77	-0.2
✕Conner Capel 2018 · A	21	39→48	47→45	49→55	42	203/257/343	140	262	14	11	28%	6%	68	-1.0	215/268/332	117	289	11	11	28%	6%	69	-0.9	226/297/349	123	283	12	19	23%	8%	80	-0.1
●Derek Fisher 2016 · A	22	43→52	50→55	55	43	219/284/369	150	305	18	18	33%	8%	84	+0.1	233/304/393	160	327	19	19	32%	9%	97	+1.1	231/307/412	181	317	23	18	33%	9%	100	+1.0
✕Eddinson Paulino 2024 · A	22	42	46→50	54→50	43	210/273/349	139	282	12	17	29%	7%	75	-0.5	202/261/322	120	278	12	13	30%	6%	64	-1.3	186/244/297	111	257	12	11	31%	6%	49	-1.3
✕Alex Glenn 2013 · A	22	39→42	48→55	53→50	39	198/264/339	141	300	15	10	38%	7%	70	-0.9	213/268/361	148	284	15	11	29%	6%	76	-0.4	210/261/367	156	270	16	12	28%	6%	72	-0.5
✕Junior Franco 2024 · A	21	42→43	43→45	50→55	38	208/258/315	107	302	10	17	34%	6%	61	-1.5	220/274/324	104	286	10	19	25%	6%	69	-0.9	227/282/332	105	286	10	21	23%	6%	71	-0.5
●Daylen Lile 2024 · A	21	44→54	44→55	55	43	213/273/340	127	293	10	15	30%	7%	72	-0.7	244/298/387	143	300	11	16	22%	6%	92	+0.7	254/307/414	160	300	13	17	19%	6%	101	+1.4
✕Brayan Buelvas 2024 · AA	22	37→45	46→50	55	41	190/252/319	129	260	13	18	32%	7%	61	-1.5	204/265/326	122	293	11	16	32%	7%	66	-1.1	205/266/334	130	290	12	14	32%	7%	66	-0.8

Tai Peete

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps