Matt Vierling

CF Detroit Tigers

Age 30 R/R 6'1" / 205 lbs MLB HR -8% Svc 5.151 · Ctrl thru 2027 ILInjured 60-Day (D60)

Overview

MLBIL-6040-MANArb-3FA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	27	MLBDET	567	.257/.315/.423	16	6	109	2.0
2025	28	AAADET	69	.200/.304/.333	2	1	45	—	.177/.261/.306
2025	28	MLBDET	100	.239/.316/.307	1	2	81	0.1
2026	29	MLBDET	291	.207/.260/.335	5	4	66	-0.6
2027PROJ	30	MLBDET	122	.249/.308/.387	3	5	99	0.3
2028PROJ	31	MLBDET	199	.245/.303/.377	4	6	94	0.1
2029PROJ	32	MLBDET	181	.239/.297/.365	3	4	89	-0.1

Last 3 seasons WAR 1.5 · Next 3 projected WAR 0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service5.151First FA2028

2027Arb-3$2M

Skills · percentileStatcast 2024-2026

Speed71

Avg EV55

xwOBA53

Bat Spd45

Barrel%43

CompsCameron Maybin (age 30) · Tyler Greene (age 29) · Josh Rojas (age 30)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 10399vR 87

AVG/OBP/SLG.249 / .308 / .387

PA122

HR3

SB5

K%20

BB%7

BABIP294

ISO153

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Splits · ContractCON 55 / POW 50

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT55

xAVG

520.253

POWER50

Barrel%

437.2

Avg EV

5589.5

Bat Spd

4570.8

EYE60

scouting grade only

SPEED55

Sprint

7128.3

Platoon Splits2024-2026 · 719 PA

vs LHP

vs RHP

Edge

219

500

—

wRC+

105

◀L

wOBA

323

309

◀L

ISO

118

167

▶▶R

BABIP

345

281

◀◀L

21.9%

21.2%

▶R

BB%

7.8%

6.6%

◀L

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

Status Arb-3

MLB Debut 2021

Service 5.151 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Arb-3	$2M	+0.4	$2M	+$0.0M (cut)
Totals		$0.0M		$2M	+$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)
2018	21	A	Lakewood BlueClaws	—	204	184	54	15	0	6	10	38	5	5	5	293	347	473	820	179	336	19	5	354	82	—	—	—	—	—	—
2019	22	A+	Clearwater Threshers	—	483	431	100	23	2	5	34	94	9	22	5	232	302	329	631	97	279	19	7	283	32	—	—	—	—	—	—
2021	24	MLB	Philadelphia Phillies	—	77	71	23	3	1	2	4	20	1	2	0	324	368	479	847	155	420	26	5	371	128	+3	+0	+0	-7	+2	-0.2
2021	24	AAA	Lehigh Valley IronPigs	—	236	206	51	6	1	5	24	46	3	5	1	248	335	359	694	112	291	19	10	313	68	—	—	—	—	—	—
2021	24	AA	Reading Fightin Phils	—	102	87	30	6	1	6	12	18	1	5	1	345	430	644	1.074	299	369	18	12	454	130	—	—	—	—	—	—
2022	25	MLB	Philadelphia Phillies	—	357	325	80	12	2	6	23	70	3	7	4	246	302	351	653	105	290	20	6	290	81	-8	-0	-1	+2	+8	-0.0
2022	25	AAA	Lehigh Valley IronPigs	—	95	85	23	6	2	2	10	15	0	8	2	271	347	459	806	188	309	16	11	356	81	—	—	—	—	—	—
2023	26	MLB	Detroit Tigers	—	530	479	125	21	5	10	44	112	5	6	6	261	330	388	718	127	321	21	8	322	107	+4	-1	+0	-6	+11	0.9
2024	27	MLB	Detroit Tigers	—	567	518	133	28	5	16	41	121	3	6	1	257	315	423	738	166	303	21	7	325	109	+6	+1	-2	+2	+12	2.0
2025	28	MLB	Detroit Tigers	—	100	88	21	3	0	1	7	24	3	2	0	239	316	307	623	68	308	24	7	284	81	-2	+0	-0	+1	+2	0.1
2025	28	AAA	Toledo Mud Hens	—	69	60	12	2	0	2	8	23	1	1	0	200	304	333	638	133	286	33	12	294	45	—	—	—	—	—	—
2026	29	MLB	Detroit Tigers	—	291	266	55	13	3	5	19	49	0	4	2	207	260	335	594	128	230	17	7	261	66	-12	+0	-2	+1	+6	-0.6
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1922	1747	437	80	16	40	138	396	15	27	13	250	311	383	693	133	298	21	7	308	94	-13	+0	-4	-8	+42	1.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2018	21	A MLE	Lakewood BlueClaws	—	204	187	47	12	0	5	7	52	5	5	5	251	296	396	692	144	299	25	3	289	82	—	—	—	—	—	—
2019	22	A+ MLE	Clearwater Threshers	—	483	439	76	16	1	4	26	139	9	22	5	173	234	241	476	68	231	29	5	216	32	—	—	—	—	—	—
2021	24	MLB MLE	Philadelphia Phillies	—	77	72	23	3	1	2	3	20	1	2	0	319	355	472	827	153	420	26	4	358	128	+3	+0	+0	-7	+2	-0.2
2021	24	AAA MLE	Lehigh Valley IronPigs	—	236	214	49	6	1	4	16	56	3	5	1	229	292	322	614	93	277	24	7	269	68	—	—	—	—	—	—
2021	24	AA MLE	Reading Fightin Phils	—	102	91	27	5	1	4	8	22	1	5	1	297	360	505	865	209	331	22	8	361	130	—	—	—	—	—	—
2022	25	MLB MLE	Philadelphia Phillies	—	357	325	80	12	2	6	23	70	3	7	4	246	302	351	653	105	290	20	6	288	81	-8	-0	-1	+2	+8	-0.0
2022	25	AAA MLE	Lehigh Valley IronPigs	—	95	88	20	5	2	1	7	19	0	8	2	227	284	364	648	136	278	20	7	288	81	—	—	—	—	—	—
2023	26	MLB MLE	Detroit Tigers	—	530	480	126	21	5	10	43	112	5	6	6	263	330	390	719	127	321	21	8	326	107	+4	-1	+0	-6	+11	0.9
2024	27	MLB MLE	Detroit Tigers	—	567	519	136	29	5	17	40	121	3	6	1	262	319	435	754	173	303	21	7	330	109	+6	+1	-2	+2	+12	2.0
2025	28	MLB MLE	Detroit Tigers	—	100	88	21	3	0	1	7	24	3	2	0	239	316	307	623	68	308	24	7	288	81	-2	+0	-0	+1	+2	0.1
2025	28	AAA MLE	Toledo Mud Hens	—	69	62	11	2	0	2	6	26	1	1	0	177	261	306	567	129	256	38	9	234	45	—	—	—	—	—	—
2026	29	MLB MLE	Detroit Tigers	—	291	266	55	13	3	5	19	49	0	4	2	207	260	335	594	128	230	17	7	266	66	-12	+0	-2	+1	+6	-0.6
2018	21	A MLE	Lakewood BlueClaws	—	204	187	47	12	0	5	7	52	5	5	5	251	296	396	692	144	316	25	3	289	82	—	—	—	—	—	—
2018	21	A RAW	Lakewood BlueClaws	—	204	184	54	15	0	6	10	38	5	5	5	293	347	473	820	179	336	19	5	354	82	—	—	—	—	—	—
2019	22	A+ MLE	Clearwater Threshers	—	483	439	76	16	1	4	26	139	9	22	5	173	234	241	476	68	237	29	5	216	32	—	—	—	—	—	—
2019	22	A+ RAW	Clearwater Threshers	—	483	431	100	23	2	5	34	94	9	22	5	232	302	329	631	97	279	19	7	283	32	—	—	—	—	—	—
2021	24	AAA MLE	3 teams	—	415	377	98	14	3	9	27	98	5	12	2	260	318	385	702	125	322	24	7	308	95	—	—	—	—	—	—
2021	24	AAA RAW	3 teams	—	415	364	104	15	3	13	40	84	5	12	2	286	364	451	815	165	333	20	10	359	95	—	—	—	—	—	—
2022	25	MLB MLE	2 teams	—	452	413	100	17	4	7	30	89	3	15	6	242	298	354	652	111	288	20	7	288	81	-10	+1	-1	+2	+10	0.1
2022	25	MLB RAW	2 teams	—	452	410	103	18	4	8	33	85	3	15	6	251	312	373	685	122	294	19	7	304	81	-10	+1	-1	+2	+10	0.1
2023	26	MLB MLE	Detroit Tigers	—	530	480	126	21	5	10	43	112	5	6	6	263	330	390	719	127	323	21	8	326	107	+4	-1	+0	-6	+11	0.9
2023	26	MLB RAW	Detroit Tigers	—	530	479	125	21	5	10	44	112	5	6	6	261	330	388	718	127	321	21	8	322	107	+4	-1	+0	-6	+11	0.9
2024	27	MLB MLE	Detroit Tigers	—	567	519	136	29	5	17	40	121	3	6	1	262	319	435	754	173	308	21	7	330	109	+6	+1	-2	+2	+12	2.0
2024	27	MLB RAW	Detroit Tigers	—	567	518	133	28	5	16	41	121	3	6	1	257	315	423	738	166	303	21	7	325	109	+6	+1	-2	+2	+12	2.0
2025	28	MLB MLE	2 teams	—	169	150	33	5	0	3	13	50	4	3	0	220	299	313	613	93	303	30	8	266	66	-7	+1	-0	+1	+4	-0.2
2025	28	MLB RAW	2 teams	—	169	148	33	5	0	3	15	47	4	3	0	223	311	318	629	95	300	28	9	288	66	-7	+1	-0	+1	+4	-0.2
2026	29	MLB MLE	Detroit Tigers	—	291	266	55	13	3	5	19	49	0	4	2	207	260	335	594	128	230	17	7	266	66	-12	+0	-2	+1	+6	-0.6
2026	29	MLB RAW	Detroit Tigers	—	291	266	55	13	3	5	19	49	0	4	2	207	260	335	594	128	230	17	7	261	66	-12	+0	-2	+1	+6	-0.6
2018	21	A MLE	Lakewood BlueClaws	—	204	190	47	12	0	5	7	52	5	5	5	247	296	389	686	142	299	25	3	289	82	—	—	—	—	—	—
2019	22	A+ MLE	Clearwater Threshers	—	483	445	76	16	1	4	26	139	9	22	5	171	234	238	472	67	231	29	5	216	32	—	—	—	—	—	—
2021	24	AAA MLE	3 teams	—	415	380	98	14	3	9	27	98	5	12	2	258	318	382	699	124	317	24	7	308	95	—	—	—	—	—	—
2022	25	MLB MLE	2 teams	—	452	416	100	17	4	7	30	89	3	15	6	240	298	351	649	111	288	20	7	288	81	—	—	—	—	—	—
2023	26	MLB MLE	Detroit Tigers	—	530	477	126	21	5	10	43	112	5	6	6	264	330	392	722	128	321	21	8	326	107	—	—	—	—	—	—
2024	27	MLB MLE	Detroit Tigers	—	567	519	136	29	5	17	40	121	3	6	1	262	319	435	754	173	303	21	7	330	109	—	—	—	—	—	—
2025	28	MLB MLE	2 teams	—	169	150	33	5	0	3	13	50	4	3	0	220	299	313	613	93	287	30	8	266	66	—	—	—	—	—	—
2026	29	MLB MLE	Detroit Tigers	—	291	270	55	13	3	5	19	49	0	4	2	204	260	330	589	126	230	17	7	266	66	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	27	MLB MLE	Detroit Tigers	—	567	519	136	29	5	17	40	121	3	6	1	262	319	435	754	173	303	21	7	330	109	—	—	—	—	—	—
2025	28	MLB MLE	2 teams	—	169	150	33	5	0	3	13	50	4	3	0	220	299	313	613	93	287	30	8	266	66	—	—	—	—	—	—
2026	29	MLB MLE	Detroit Tigers	—	291	270	55	13	3	5	19	49	0	4	2	204	260	330	589	126	230	17	7	266	66	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	30	MLB MLE	DET	100%	291	266	68	14	3	6	21	57	2	12	3	254	312	396	708	142	298	20	7	314	99	-0	+1	-1	+1	+6	0.4
▸ 2027 — real world (MLB)
2027	30	MLB CTX	DET	100%	122	111	29	6	1	3	9	24	1	5	1	249	308	387	695	138	294	20	7	309	99	-0	+1	-0	+0	+3	0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	31	MLB MLE	DET	100%	199	182	45	9	2	4	14	40	1	6	1	249	307	386	693	137	295	20	7	308	94	-1	+1	-3	+1	+4	0.1
2029	32	MLB MLE	DET	100%	181	165	39	8	1	3	13	37	1	4	1	243	300	373	673	129	291	20	7	300	89	-2	+0	-4	+1	+4	-0.1
2028	31	MLB CTX	DET	100%	199	182	45	9	2	4	14	40	1	6	1	245	303	377	680	132	291	20	7	303	94	-1	+1	-3	+1	+4	0.1
2029	32	MLB CTX	DET	100%	181	165	39	8	1	3	13	37	1	4	1	239	297	365	661	125	287	20	7	295	89	-2	+0	-4	+1	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2302	2094	521	97	19	47	165	473	17	37	15	249	309	381	689	132	297	21	7	306	84	-16	+1	-12	-6	+50	1.7
/ 162G	—	A+C		—	650	591	146	27	5	13	47	134	5	10	4	247	308	376	684	129	296	21	7	306	84	-5	+0	-3	-2	+14	0.5
Career	—	MLE		—	3613	3289	784	150	25	70	241	811	37	88	30	238	298	363	661	125	292	22	7	293	84	-17	+2	-12	-6	+53	2.0
/ 162G	—	MLE		—	650	592	141	27	4	13	43	146	7	16	5	238	298	363	661	125	291	22	7	293	84	-4	+1	-3	-2	+14	0.5

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.

2025 AAAToledo Mud Hens · 69 PAwOBA .287 → .234 (−52)K% 33.3% → 37.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷1.073	×1.200	—	—	37.28%
BB% (unintentional) /PA	11.59%	÷0.988	×0.690	—	×0.982	7.95%
HBP% /PA	1.45%	—	×0.940	—	×0.982	1.34%
Singles /BIP	21.62%	÷0.993	×0.930	—	×0.982	19.88%
Doubles /BIP	5.41%	÷0.953	×0.830	—	×0.982	4.62%
Triples /BIP	0.00%	÷0.905	×0.970	—	×0.982	0.00%
Home runs /BIP	5.41%	÷0.872	×0.700	—	×0.982	4.26%

Factors used: league row International League. Park (home-season share, regressed): HR 74, 1B 99, 2B 91, 3B 81, K 115, BB 98 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average).

Result: wOBA .287 → .234; ISO .133 → .107; BABIP .286 → .256. 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 AAALehigh Valley IronPigs · 95 PAwOBA .347 → .288 (−59)K% 15.8% → 19.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.79%	÷0.970	×1.200	—	—	19.54%
BB% (unintentional) /PA	10.53%	÷1.067	×0.690	—	×1.018	6.93%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	18.57%	÷1.007	×0.930	×0.985	×1.018	17.20%
Doubles /BIP	8.57%	÷1.018	×0.830	×0.985	×1.018	7.01%
Triples /BIP	2.86%	÷0.900	×0.970	×0.985	×1.018	3.09%
Home runs /BIP	2.86%	÷1.039	×0.700	—	×1.018	1.96%

Factors used: league row International League. Park (home-season share, regressed): HR 108, 1B 101, 2B 104, 3B 80, K 94, BB 113 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.985.

Result: wOBA .347 → .288; ISO .188 → .157; BABIP .309 → .278. 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).

2021 AAALehigh Valley IronPigs · 236 PAwOBA .309 → .269 (−41)K% 19.5% → 23.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.49%	÷0.992	×1.200	—	—	23.59%
BB% (unintentional) /PA	10.17%	÷1.061	×0.690	—	×1.033	6.83%
HBP% /PA	1.27%	—	×0.940	—	×1.033	1.23%
Singles /BIP	24.38%	÷1.016	×0.930	×1.023	×1.033	23.56%
Doubles /BIP	3.75%	÷0.952	×0.830	×1.023	×1.033	3.45%
Triples /BIP	0.62%	÷1.150	×0.920	×1.023	×1.033	0.53%
Home runs /BIP	3.12%	÷0.957	×0.700	—	×1.033	2.36%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 91, 1B 103, 2B 90, 3B 130, K 98, BB 112 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.023.

Result: wOBA .309 → .269; ISO .112 → .091; BABIP .291 → .277. 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).

2021 AAReading Fightin Phils · 102 PAwOBA .450 → .361 (−89)K% 17.6% → 21.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.65%	÷0.985	×1.220	—	—	21.86%
BB% (unintentional) /PA	11.76%	÷0.989	×0.690	—	×0.998	8.19%
HBP% /PA	0.98%	—	×0.850	—	×0.998	0.83%
Singles /BIP	24.64%	÷0.989	×0.940	×1.007	×0.998	23.54%
Doubles /BIP	8.70%	÷0.993	×0.870	×1.007	×0.998	7.66%
Triples /BIP	1.45%	÷1.150	×0.920	×1.007	×0.998	1.17%
Home runs /BIP	8.70%	÷1.344	×0.780	—	×0.998	5.04%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 169, 1B 98, 2B 99, 3B 130, K 97, BB 98 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.

Result: wOBA .450 → .361; ISO .299 → .203; BABIP .369 → .331. 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).

2019 A+Clearwater Threshers · 483 PAwOBA .280 → .216 (−63)K% 19.5% → 28.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.46%	÷0.960	×1.420	—	—	28.79%
BB% (unintentional) /PA	6.83%	÷0.964	×0.750	—	×0.998	5.31%
HBP% /PA	1.86%	—	×0.930	—	×0.998	1.73%
Singles /BIP	20.77%	÷1.014	×0.920	×0.950	×0.998	17.87%
Doubles /BIP	6.82%	÷1.242	×0.960	×0.950	×0.998	5.00%
Triples /BIP	0.59%	÷0.973	×0.810	×0.950	×0.998	0.47%
Home runs /BIP	1.48%	÷0.949	×0.880	—	×0.998	1.37%

Factors used: league row FSL. Park (home-season share, regressed): HR 90, 1B 103, 2B 148, 3B 95, K 92, BB 93 — 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 ×0.950.

Result: wOBA .280 → .216; ISO .097 → .072; BABIP .279 → .231. 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).

2018 ALakewood BlueClaws · 204 PAwOBA .349 → .289 (−60)K% 18.6% → 25.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.63%	÷0.976	×1.340	—	—	25.59%
BB% (unintentional) /PA	4.90%	÷0.987	×0.660	—	—	3.28%
HBP% /PA	2.45%	—	×0.770	—	—	1.89%
Singles /BIP	22.60%	÷0.960	×0.920	×0.977	—	21.15%
Doubles /BIP	10.27%	÷0.992	×0.820	×0.977	—	8.30%
Triples /BIP	0.00%	÷1.086	×0.940	×0.977	—	0.00%
Home runs /BIP	4.11%	÷0.966	×0.820	—	—	3.49%

Factors used: league row SAL. Park (home-season share, regressed): HR 93, 1B 92, 2B 98, 3B 117, K 95, BB 97 — 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 ×0.977.

Result: wOBA .349 → .289; ISO .179 → .144; BABIP .336 → .299. 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
#1Alejandro De Azalast yr '17 career totals — 8 seasons, 2,819 PA	4.2	2,819	51	89	259	325	396	-6	-12	7.0	7.2
/162	664	12	21	-1.4	-2.8	1.7	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	3.7	2,437	51	42	250	306	384	+9	-10	5.7	5.9
/162	664	14	12	+2.4	-2.8	1.6	pk7: 6
#2Deion Sanders'89-'01 * career totals — 9 seasons, 2,325 PA	3.5	2,325	39	186	254*	311*	399*	-1	-4	4.9	5.7
/162	664	11	53	-0.4	-1.2	1.4	pk7: 6
#3Leury Garcíalast yr '22 career totals — 9 seasons, 2,387 PA	3.6	2,387	34	63	253	293	351	+5	+10	3.1	4.3
/162	664	9	18	+1.4	+2.7	0.9	pk7: 6
#4Steve Brye'70-'78 * career totals — 8 seasons, 2,184 PA	3.3	2,184	30	16	259*	312*	407*	-8	+7	3.9	4.2
/162	664	9	5	-2.5	+2.1	1.2	pk7: 4
#5Danny Santanalast yr '21 career totals — 7 seasons, 1,834 PA	2.8	1,834	47	74	256	296	415	-6	-6	3.6	3.6
/162	664	17	27	-2.3	-2.2	1.3	pk7: 4
#6Marvell Wynne'83-'90 * career totals — 8 seasons, 2,937 PA	4.4	2,937	40	80	245*	297*	380*	+2	-0	1.9	2.4
/162	664	9	18	+0.5	-0.1	0.4	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
Matt Vierling (OGILVIE)	30	55	50	55	60	251/310/392	141	298	3	6	20%	7%	99	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Cameron Maybin 2017 · MLB	30	56→60	42→50	54→55	52	267/331/379	112	319	9	20	19%	8%	102	+1.5	250/328/377	127	308	12	25	21%	10%	101	+1.4	244/328/376	132	305	13	27	23%	11%	102	+1.0
✕Tyler Greene 2013 · MLB	29	47→50	50	56→55	43	235/297/391	157	308	17	24	29%	7%	93	+0.8	223/270/343	120	322	11	14	33%	5%	72	-0.7	217/259/318	101	325	8	10	34%	4%	59	-1.2
✕Josh Rojas 2024 · MLB	30	51→53	43→50	54→55	51	248/315/361	114	306	11	19	22%	9%	93	+0.8	220/287/331	111	273	11	13	22%	8%	76	-0.4	204/271/311	108	249	10	9	22%	8%	65	-0.7
✕Hernán Pérez 2021 · MLB	30	46→56	50	52→55	43	236/281/386	150	287	18	16	25%	6%	86	+0.3	231/277/354	123	294	14	20	25%	6%	77	-0.3	224/269/332	108	287	13	24	26%	5%	67	-0.4
✕Alejandro De Aza 2014 · MLB	30	55→61	46→50	52→55	48	267/326/405	137	320	13	21	20%	7%	107	+1.8	249/314/389	140	311	12	15	23%	8%	99	+1.2	242/311/378	136	306	11	14	23%	8%	96	+0.7
●Eduardo Núñez 2017 · MLB	30	55→65	49→50	58→60	45	277/315/425	148	304	16	32	15%	5%	107	+1.9	272/303/406	134	296	14	22	13%	4%	99	+1.2	266/293/388	122	289	13	18	13%	3%	91	+0.4
✕Damian Jackson 2004 · MLB	30	52→54	40→45	55	49	247/305/344	97	298	6	30	18%	7%	85	+0.2	239/308/359	120	281	12	22	18%	8%	90	+0.6	238/324/362	123	279	13	20	19%	10%	97	+0.5
✕Óscar Mercado 2024 · MLB	29	46→55	48→50	57→60	45	232/290/378	146	276	15	27	22%	6%	88	+0.4	206/275/331	125	239	14	29	20%	7%	72	-0.7	190/267/306	115	213	14	34	18%	8%	62	-1.0
✕Ryan Roberts 2011 · MLB	30	47→52	45→50	52→55	51	230/299/358	127	277	12	16	21%	9%	86	+0.3	229/301/369	140	267	16	15	20%	9%	90	+0.6	227/300/361	134	261	16	13	19%	9%	88	+0.4
✕Jon Berti 2020 · MLB	30	53→62	46→45	60	48	259/328/392	133	322	12	32	23%	8%	105	+1.7	247/336/366	119	318	11	30	23%	11%	102	+1.5	268/335/372	103	335	9	39	21%	8%	103	+0.8
✕Tim Locastro 2022 · MLB	30	46→53	44→45	55→60	46	225/314/344	120	268	11	23	20%	6%	91	+0.6	211/292/333	122	261	12	24	23%	5%	80	-0.2	210/293/320	110	261	10	36	22%	5%	75	-0.2
✕Eric Campbell 2016 · MLB	29	53→56	44→45	49→50	55	257/344/380	123	311	11	14	20%	10%	109	+2.0	240/324/350	110	296	10	12	21%	9%	94	+0.9	228/312/340	112	280	10	9	21%	9%	86	+0.2
✕Drew Stubbs 2015 · MLB	30	50→57	48→50	57→60	44	245/305/392	146	336	16	24	30%	8%	97	+1.1	222/297/354	132	325	14	22	33%	9%	85	+0.2	197/281/304	107	299	11	23	35%	10%	66	-0.5
✕Elvis Andrus 2019 · MLB	30	55→61	46→50	50→60	49	269/318/403	135	299	12	16	15%	6%	103	+1.6	252/299/364	112	285	10	19	15%	6%	87	+0.4	245/297/358	113	280	10	17	16%	6%	86	+0.2
✕Garrett Hampson 2024 · MLB	29	53→57	42→45	56→60	47	250/314/358	108	326	8	19	25%	8%	92	+0.7	226/286/314	88	309	5	16	26%	7%	71	-0.8	207/251/282	75	285	3	16	27%	5%	48	-1.1
✕Angel Berroa 2005 · MLB	28	54→56	46→50	53→50	44	264/312/402	139	297	12	16	16%	4%	101	+1.4	252/289/364	112	289	11	8	17%	4%	84	+0.1	244/286/384	140	291	15	5	21%	4%	86	+0.2
✕Jonathan Villar 2021 · MLB	30	52→60	47→50	58→65	48	255/320/390	135	325	15	34	25%	8%	101	+1.4	243/303/389	146	311	16	21	26%	8%	95	+0.9	240/299/387	148	306	17	20	26%	7%	93	+0.6
✕Isiah Kiner-Falefa 2024 · MLB	29	53→58	40	52→55	49	253/307/341	88	291	8	21	16%	6%	85	+0.2	255/302/350	95	298	8	18	17%	5%	85	+0.2	256/301/341	85	300	6	19	16%	5%	83	+0.1
✕Pablo Reyes 2024 · MLB	30	48→56	43→50	50→55	50	234/295/343	109	274	10	18	18%	8%	81	-0.1	238/302/355	117	282	12	19	19%	8%	86	+0.3	244/311/361	116	287	11	21	18%	8%	89	+0.3
✕Pokey Reese 2003 · MLB	30	50→54	42→45	56→55	50	244/302/352	109	281	9	22	17%	7%	86	+0.3	229/285/325	96	282	8	16	21%	7%	73	-0.6	212/260/280	69	271	6	19	23%	6%	53	-0.7

Matt Vierling

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps