Mike Sirota

RF Tulsa Drillers

Age 24 R/R 6'2" / 188 lbs AA HR +8%BB -8% Svc 0.0 · Ctrl thru 2033

Overview

AAPROSPECTMiLBFA 2034

OGV OFP40OGV rank#138ETA2028MLB%6%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	22	A+/A2 orgs	270	.333/.459/.616	13	5	130	—	.265/.365/.469
2026	23	AA/A+LAD	492	.306/.460/.526	17	13	125	—	.257/.381/.430
2027PROJ6% MLB	24	MLBLAD	13	.234/.353/.403	0	0	118	0.0
2028PROJ45% MLB	25	MLBLAD	190	.236/.353/.410	6	4	120	0.7
2029PROJ63% MLB	26	MLBLAD	277	.237/.352/.413	9	6	120	1.1

Next 3 projected WAR 1.9Projected 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$4M2032Arb-2$5M2033Arb-3$6M

Skills · percentileMiLB Statcast 2026 AA

Chase%99

BB%97

wOBA96

wRC+95

ISO72

K%61

Career WAR0.2 WAR median (P10 0.0 / P90 20, comp-based) · star 9% · didn't stick 54%

CompsElijah Dukes (age 24) · Jonathan India (age 25) · Rickie Weeks Jr. (age 23)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†118

AVG/OBP/SLG.234 / .353 / .403

PA13

HR0

K%23

BB%15

BABIP301

ISO91

MLB%6%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$28M 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	+0.7	$3M	+$2M
2029	Pre-Arb	$0.8M	+1.1	$8M	+$7M
2030	Pre-Arb	$0.8M	+1.1	$7M	+$6M
2031	Arb-1	$4M	+1.0	$6M	+$4M
2032	Arb-2	$5M	+0.9	$2M	+$0.0M (cut)
2033	Arb-3	$6M	+0.7	$2M	+$0.0M (cut)
Totals		$6M		$27M	+$19M

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)
2025	22	A+	Great Lakes Loons	—	155	117	37	8	1	6	33	34	1	4	4	316	470	556	1.026	239	383	22	21	439	135	—	—	—	—	—	—
2025	22	A	Rancho Cucamonga Quakes	—	115	99	35	8	2	7	15	25	1	1	1	354	443	687	1.130	333	418	22	13	483	124	—	—	—	—	—	—
2026	23	AA	Tulsa Drillers	—	333	259	77	16	2	10	65	75	8	5	0	297	452	490	942	193	383	23	20	421	120	—	—	—	—	—	—
2026	23	A+	Great Lakes Loons	—	159	123	40	11	1	7	32	36	4	8	1	325	478	602	1.080	276	412	23	20	469	137	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	22	A+ MLE	Great Lakes Loons	—	155	127	34	7	1	5	23	44	1	4	4	268	384	457	841	189	336	28	15	367	135	—	—	—	—	—	—
2025	22	A MLE	Rancho Cucamonga Quakes	—	115	103	27	6	1	5	11	34	1	1	1	262	339	485	825	223	346	30	10	352	124	—	—	—	—	—	—
2026	23	AA MLE	Tulsa Drillers	—	333	277	70	14	2	8	47	92	8	5	0	253	377	404	781	152	340	28	14	345	120	—	—	—	—	—	—
2026	23	A+ MLE	Great Lakes Loons	—	159	132	35	9	1	6	23	46	4	8	1	265	390	485	875	220	358	29	14	370	137	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	270	230	61	13	2	10	34	79	2	5	5	265	365	470	834	204	352	29	13	361	130	—	—	—	—	—	—
2025	22	A+ RAW	2 teams	—	270	216	72	16	3	13	48	59	2	5	5	333	459	616	1.074	282	399	22	18	458	130	—	—	—	—	—	—
2026	23	AA MLE	2 teams	—	492	410	105	23	3	14	69	137	12	13	1	256	379	429	808	173	350	28	14	353	125	—	—	—	—	—	—
2026	23	AA RAW	2 teams	—	492	382	117	27	3	17	97	111	12	13	1	306	460	526	986	220	392	23	20	436	125	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	270	232	61	13	2	10	34	79	2	5	5	263	365	466	830	203	340	29	13	361	130	—	—	—	—	—	—
2026	23	AA MLE	2 teams	—	492	408	105	23	3	14	69	137	12	13	1	257	379	431	810	174	346	28	14	353	125	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	22	A+ MLE	2 teams	—	270	232	61	13	2	10	34	79	2	5	5	263	365	466	830	203	340	29	13	361	130	—	—	—	—	—	—
2026	23	AA MLE	2 teams	—	492	408	105	23	3	14	69	137	12	13	1	257	379	431	810	174	346	28	14	353	125	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	24	MLB MLE	LAD	6%	380	319	76	16	2	11	52	102	6	7	2	238	356	407	763	170	308	27	14	343	118	+8	+1	+1	-4	+8	1.2
▸ 2027 — real world (MLB)
2027	24	MLB CTX	LAD	6%	13	11	3	1	0	0	2	3	0	0	0	234	353	403	756	169	301	23	15	340	118	+0	+0	+0	-0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	LAD	45%	421	354	84	17	2	13	57	111	7	9	2	240	356	414	770	174	307	26	14	345	120	+10	+1	+1	-5	+9	1.7
2029	26	MLB MLE	LAD	63%	438	370	88	18	2	14	58	115	7	9	2	241	355	416	771	176	306	26	13	345	120	+10	+1	+1	-5	+9	1.7
2030	27	MLB MLE	LAD	69%	443	375	89	18	2	14	58	116	7	10	2	240	352	413	766	174	305	26	13	343	118	+10	+1	+1	-5	+10	1.7
2031	28	MLB MLE	LAD	73%	443	376	89	18	2	14	57	116	7	9	2	238	349	409	757	170	304	26	13	339	116	+8	+1	+0	-5	+10	1.5
2032	29	MLB MLE	LAD	72%	437	373	88	18	2	13	55	115	6	8	2	236	345	402	747	166	302	26	13	335	113	+7	+1	-1	-5	+9	1.2
2033	30	MLB MLE	LAD	72%	430	367	86	17	2	13	54	114	6	7	2	233	341	395	736	161	300	27	13	331	110	+5	+1	-1	-5	+9	0.9
2034	31	MLB MLE	LAD	72%	419	358	83	17	2	12	52	113	6	6	3	229	337	385	721	155	297	27	12	325	106	+3	+0	-2	-4	+9	0.6
2035	32	MLB MLE	LAD	72%	409	351	79	16	2	11	50	112	5	5	4	224	331	372	702	148	293	27	12	318	101	+1	-1	-3	-4	+9	0.2
2036	33	MLB MLE	LAD	72%	326	279	61	12	1	8	40	91	4	3	6	217	323	356	679	139	288	28	12	309	95	-2	-2	-4	-3	+7	-0.4
2037	34	MLB MLE	LAD	67%	201	173	37	7	1	5	24	58	2	2	9	209	314	337	651	128	281	29	12	298	88	-3	-3	-5	-2	+4	-0.9
2028	25	MLB CTX	LAD	45%	190	159	37	7	1	6	26	50	3	4	1	236	353	410	763	174	300	26	14	343	120	+4	+0	+0	-2	+4	0.7
2029	26	MLB CTX	LAD	63%	277	234	55	11	1	9	37	73	4	6	1	237	352	413	765	176	299	26	13	343	120	+7	+1	+1	-3	+6	1.1
2030	27	MLB CTX	LAD	69%	307	259	61	12	1	10	40	80	5	7	2	236	349	410	759	174	298	26	13	340	118	+7	+1	+1	-3	+7	1.1
2031	28	MLB CTX	LAD	73%	321	272	63	12	1	10	41	84	5	6	2	235	346	405	751	170	297	26	13	337	116	+6	+0	+0	-3	+7	1.0
2032	29	MLB CTX	LAD	72%	316	268	62	12	1	10	40	83	5	6	2	233	342	399	741	166	295	26	13	333	113	+5	+0	-0	-3	+7	0.9
2033	30	MLB CTX	LAD	72%	310	264	61	12	1	10	39	82	4	5	2	230	338	391	729	161	293	26	13	328	110	+4	+0	-1	-3	+7	0.7
2034	31	MLB CTX	LAD	72%	302	257	58	11	1	9	38	81	4	4	2	226	334	381	715	155	290	27	13	323	106	+2	+0	-1	-3	+7	0.4
2035	32	MLB CTX	LAD	72%	294	252	56	11	1	8	36	81	4	3	3	221	328	369	696	148	287	28	12	315	101	+0	-1	-2	-3	+6	0.1
2036	33	MLB CTX	LAD	72%	234	201	43	8	1	6	28	66	3	2	4	214	320	353	673	139	282	28	12	306	95	-1	-1	-3	-3	+5	-0.3
2037	34	MLB CTX	LAD	67%	135	116	23	4	0	3	16	39	2	1	6	206	311	334	645	128	275	29	12	295	88	-2	-2	-3	-1	+3	-0.6
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2686	2282	519	100	9	81	341	719	39	44	25	227	338	386	723	158	293	27	13	328	113	+32	-1	-9	-29	+58	5.2
/ 162G	—	A+C		—	650	552	126	24	2	20	83	174	9	11	6	228	339	388	726	159	293	27	13	328	113	+8	-0	-2	-7	+14	1.3
Career	—	MLE		—	4939	4191	992	203	24	147	637	1333	75	90	41	237	348	402	749	165	309	27	13	336	113	+54	+0	-12	-45	+91	9.0
/ 162G	—	MLE		—	650	552	130	27	3	19	84	175	10	12	5	236	347	399	745	163	307	27	13	336	113	+8	+0	-2	-7	+14	1.4

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 AATulsa Drillers · 333 PAwOBA .412 → .345 (−68)K% 22.5% → 27.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.52%	÷1.000	×1.220	—	—	27.48%
BB% (unintentional) /PA	19.52%	÷1.000	×0.700	—	×1.027	14.03%
HBP% /PA	2.40%	—	×0.870	—	×1.027	2.15%
Singles /BIP	26.63%	÷1.000	×0.920	×0.969	×1.027	24.39%
Doubles /BIP	8.70%	÷1.000	×0.840	×0.969	×1.027	7.27%
Triples /BIP	1.09%	÷1.000	×0.940	×0.969	×1.027	1.02%
Home runs /BIP	5.43%	÷1.000	×0.800	—	×1.027	4.47%

Factors used: league row TL. 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 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.969.

Result: wOBA .412 → .345; ISO .193 → .164; BABIP .383 → .340. 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 A+Great Lakes Loons · 159 PAwOBA .457 → .370 (−88)K% 22.6% → 28.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.64%	÷1.000	×1.270	—	—	28.75%
BB% (unintentional) /PA	20.13%	÷1.000	×0.710	—	×0.998	14.26%
HBP% /PA	2.52%	—	×0.790	—	×0.998	1.98%
Singles /BIP	24.14%	÷1.000	×0.920	×1.003	×0.998	22.24%
Doubles /BIP	12.64%	÷1.000	×0.810	×1.003	×0.998	10.26%
Triples /BIP	1.15%	÷1.000	×0.850	×1.003	×0.998	0.98%
Home runs /BIP	8.05%	÷1.000	×0.800	—	×0.998	6.42%

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 ×1.003.

Result: wOBA .457 → .370; ISO .276 → .224; BABIP .412 → .358. 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+Great Lakes Loons · 155 PAwOBA .440 → .367 (−73)K% 21.9% → 28.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.94%	÷0.980	×1.270	—	—	28.42%
BB% (unintentional) /PA	21.29%	÷1.023	×0.710	—	×1.012	14.96%
HBP% /PA	0.65%	—	×0.790	—	×1.012	0.52%
Singles /BIP	26.51%	÷1.000	×0.920	×0.972	×1.012	24.01%
Doubles /BIP	9.64%	÷0.927	×0.810	×0.972	×1.012	8.29%
Triples /BIP	1.20%	÷1.150	×0.850	×0.972	×1.012	0.88%
Home runs /BIP	7.23%	÷0.992	×0.800	—	×1.012	5.90%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 98, 1B 100, 2B 85, 3B 130, K 96, BB 105 — 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 ×0.972.

Result: wOBA .440 → .367; ISO .239 → .206; BABIP .383 → .336. 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 ARancho Cucamonga Quakes · 115 PAwOBA .470 → .352 (−118)K% 21.7% → 30.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.74%	÷0.987	×1.360	—	—	29.95%
BB% (unintentional) /PA	13.04%	÷0.981	×0.690	—	—	9.17%
HBP% /PA	0.87%	—	×0.780	—	—	0.68%
Singles /BIP	24.32%	÷1.004	×0.920	×0.976	—	21.74%
Doubles /BIP	10.81%	÷1.054	×0.830	×0.976	—	8.30%
Triples /BIP	2.70%	÷1.150	×0.910	×0.976	—	2.09%
Home runs /BIP	9.46%	÷1.055	×0.800	—	—	7.17%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 111, 1B 101, 2B 111, 3B 130, K 97, BB 96 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.976.

Result: wOBA .470 → .352; ISO .333 → .238; BABIP .418 → .346. 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).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Chris Taylorlast yr '25 career totals — 12 seasons, 3,909 PA	5.9	3,909	110	91	248	327	419	-9	+4	15.9	16.4
/162	664	19	15	-1.6	+0.6	2.7	pk7: 17
#2Mark Whiten'90-'00 * career totals — 9 seasons, 3,521 PA	5.3	3,521	105	78	251*	332*	421*	-35	+22	11.8	11.5
/162	664	20	15	-6.6	+4.2	2.2	pk7: 11
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.1	2,699	79	46	233	339	395	+4	+3	11.2	10.6
/162	664	20	11	+1.0	+0.8	2.8	pk7: 10
#3Chas McCormicklast yr '25 career totals — 5 seasons, 1,567 PA	2.4	1,567	56	37	247	321	413	+2	+14	7.3	7.3
/162	664	24	16	+0.8	+6.0	3.1	pk7: 7
#4Mike Tauchmanlast yr '25 career totals — 6 seasons, 1,734 PA	2.6	1,734	41	28	249	350	387	-13	+2	6.5	6.5
/162	664	16	11	-4.9	+0.9	2.5	pk7: 7
#5F. P. Santangelo'95-'01 * career totals — 7 seasons, 2,073 PA	3.1	2,073	21	37	235*	348*	343*	-6	+7	5.2	5.2
/162	664	7	12	-2.1	+2.3	1.7	pk7: 5
#6Jeff DaVanon'99-'07 * career totals — 6 seasons, 1,505 PA	2.3	1,505	33	59	249*	340*	389*	-12	+4	4.2	4.5
/162	664	15	26	-5.1	+1.8	1.9	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
Mike Sirota (OGILVIE)	24	—	—	—	—	235/353/403	168	308	6	4	27%	14%	118	+0.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Elijah Dukes 2008 · MLB	24	48→54	53→55	48→50	55	248/331/424	176	279	20	12	19%	10%	114	+2.3	245/342/416	171	293	17	14	21%	12%	116	+2.5	247/348/417	170	297	16	14	21%	12%	118	+2.0
●Jonathan India 2022 · MLB	25	51→54	50	49→50	53	252/351/414	163	314	17	11	24%	10%	119	+2.7	248/341/395	147	300	16	11	21%	10%	111	+2.1	238/339/373	135	284	14	9	20%	11%	105	+1.7
★Rickie Weeks Jr. 2006 · MLB	23	49→58	54→55	59→55	49	249/340/438	188	306	20	19	24%	9%	120	+2.8	251/351/417	166	310	16	23	23%	10%	120	+2.8	256/348/440	184	314	21	11	24%	10%	125	+3.4
●Miguel Vargas 2024 · MLB	24	48→54	49→55	52→50	53	240/320/398	158	282	16	12	21%	10%	103	+1.6	226/321/395	169	261	18	12	20%	11%	103	+1.6	226/328/409	183	251	21	13	19%	12%	110	+2.0
●Mark Teahen 2007 · MLB	25	55→59	51→55	57→50	51	271/336/452	181	319	17	10	20%	9%	121	+2.9	269/326/417	148	329	13	9	21%	7%	109	+2.0	266/320/400	134	326	11	8	21%	7%	104	+1.6
●Edouard Julien 2023 · AA	24	51→55	49→50	52→50	55	236/346/388	153	353	17	18	34%	14%	112	+2.2	236/340/381	145	349	16	10	33%	13%	107	+1.9	230/336/367	137	339	15	8	33%	13%	102	+1.3
✕Luis Urías 2022 · MLB	25	48→58	52→55	47→45	53	247/331/420	173	289	20	7	22%	10%	113	+2.3	227/323/375	148	273	17	5	22%	10%	101	+1.4	212/315/343	131	259	15	4	23%	10%	91	+0.5
✕Jordan Westburg 2023 · AAA	24	47→51	50→60	50	45	233/304/391	158	314	16	11	30%	8%	97	+1.1	248/305/429	181	306	21	9	25%	6%	105	+1.7	254/308/447	193	302	23	7	24%	6%	110	+1.6
●Iván Herrera 2024 · MLB	24	52→59	46→50	49→50	55	247/346/382	135	323	12	10	25%	12%	109	+2.0	267/357/418	151	323	17	11	21%	10%	122	+2.9	263/357/416	152	307	19	10	20%	10%	123	+2.6
★Aaron Rowand 2002 · MLB	24	53→60	49→55	52→50	54	263/348/412	149	306	17	16	20%	10%	118	+2.6	267/317/429	162	296	18	8	16%	5%	109	+2.0	278/339/445	167	328	18	4	20%	6%	123	+3.0
●Eric Hinske 2004 · MLB	26	51→55	53→60	53→50	56	257/338/448	192	301	18	13	21%	11%	122	+2.9	253/323/416	163	300	17	10	20%	9%	109	+2.0	253/323/412	159	299	17	9	21%	9%	109	+1.6
●Adam Jones 2010 · MLB	24	53→56	51→60	50	45	267/319/432	165	313	18	11	21%	6%	111	+2.1	274/318/442	168	312	20	11	19%	5%	113	+2.3	276/313/466	190	309	25	11	19%	4%	119	+3.1
●Andy Pages 2024 · AA	23	42→52	54→60	47→50	47	218/307/400	182	287	21	9	30%	9%	100	+1.3	260/319/438	178	314	21	10	23%	7%	112	+2.2	269/326/453	184	315	23	10	22%	6%	121	+2.8
●Jeremy Peña 2022 · AAA	24	48→58	49→55	52→55	40	238/298/386	147	316	16	14	29%	6%	93	+0.8	252/298/399	147	303	18	13	23%	5%	96	+1.0	275/326/436	161	316	20	19	19%	5%	115	+2.3
●Zach Neto 2024 · MLB	23	49→48	51→60	50→55	44	248/325/414	166	303	19	12	24%	6%	110	+2.1	249/318/442	193	305	23	23	26%	7%	114	+2.3	246/319/446	200	307	24	25	27%	7%	116	+2.6
●Kelly Johnson 2006 · MLB	24	50→58	52→55	53→50	56	254/337/433	179	291	19	10	20%	11%	118	+2.6	270/350/443	173	318	16	10	19%	11%	124	+3.1	264/337/440	177	307	17	11	19%	10%	120	+2.6
●Gleyber Torres 2022 · MLB	25	52→55	48→60	46→50	53	257/329/400	143	302	16	12	20%	10%	107	+1.9	258/324/414	156	299	18	11	19%	9%	109	+2.0	259/345/399	140	294	17	6	17%	11%	114	+2.6
★Marcus Semien 2015 · MLB	24	47→55	50→65	52→50	51	237/311/397	160	285	17	12	23%	9%	100	+1.3	247/309/419	172	292	20	12	22%	8%	104	+1.6	269/346/515	247	282	31	10	17%	10%	141	+4.1
★Gunnar Henderson 2024 · MLB	23	49→56	55→60	55	49	250/326/449	199	320	22	13	28%	10%	117	+2.6	259/334/459	200	307	23	17	23%	9%	123	+3.0	252/331/444	192	295	22	17	22%	9%	119	+3.2
✕Davis Schneider 2024 · MLB	25	44→45	56→55	51→50	53	228/330/428	200	300	23	11	30%	12%	115	+2.4	209/318/382	173	278	20	9	30%	13%	100	+1.3	187/312/348	161	246	20	8	30%	14%	91	+0.4

Mike Sirota

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps