Riley Greene

LF Detroit Tigers

Age 26 L/L 6'2" / 200 lbs MLB HR -8% Svc 4.640 · Ctrl thru 2028

Overview

MLB40-MANArb-2FA 2029

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	23	MLBDET	584	.262/.349/.479	24	4	134	3.1
2025	24	MLBDET	655	.258/.315/.493	36	2	129	2.7
2026	25	MLBDET	592	.280/.373/.474	21	3	140	3.4
2027PROJ	26	MLBDET	539	.258/.336/.471	24	3	130	2.9
2028PROJ	27	MLBDET	604	.257/.335/.468	27	3	129	3.2
2029PROJ	28	MLBDET	582	.255/.333/.463	25	2	127	2.8

Last 3 seasons WAR 9.3 · Next 3 projected WAR 8.9Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2028Service4.640First FA2029

2027Arb-2$11M2028Arb-3$18M

Skills · percentileStatcast 2024-2026

Barrel%90

Bat Spd89

xwOBA88

Avg EV68

Speed32

Form.275/.350/.514 ▲ rolling true talent (60d window) · proj .263/.339/.484

CompsFranmil Reyes (age 26) · Michael Conforto (age 26) · Chris Duncan (age 27)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 107130vR 138

AVG/OBP/SLG.258 / .336 / .471

PA539

HR24

K%28

BB%10

BABIP322

ISO213

MLB%100%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$23M ctrl surplus

Tools · Recent Form · Splits · ContractCON 50 / POW 60

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT50

xAVG

480.250

POWER60

Barrel%

9015.2

Avg EV

6890.3

Bat Spd

8975.4

EYE50

scouting grade only

SPEED45

Sprint

3226.6

Recent Formrolling true talent ⓘ

K%25%▲▲24% over 100 PA (60d) · proj 28%

BB%10%·10% over 100 PA (60d) · proj 10%

ISO.238▲.270 over 89 AB (60d) · proj .221

HR/BB7.6%·7.7% over 65 BBE (60d) · proj 7.5%

BABIP.331·.383 over 60 BIP (60d) · proj .328

SLASH.275/.350/.514▲proj .263/.339/.484

Platoon Splits2024-2026 · 1350 PA

vs LHP

vs RHP

Edge

382

968

—

wRC+

141

▶▶R

wOBA

304

377

▶▶R

ISO

160

246

▶▶R

BABIP

305

343

▶R

29.6%

27.9%

▶R

BB%

8.9%

9.1%

—

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

Status Arb-2

MLB Debut 2022

Service 4.640 yrs.days

Team Control Through 2028

First FA Year 2029

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Arb-2	$11M	+3.2	$30M	+$19M
2028	Arb-3	$18M	+3.2	$28M	+$12M
Totals		$29M		$58M	+$31M

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)
2019	18	A	West Michigan Whitecaps	—	108	96	21	2	2	2	6	26	3	4	0	219	286	344	629	125	268	24	6	277	48	—	—	—	—	—	—
2019	18	ROK	GCL Tigers West	—	43	37	13	3	0	2	5	12	1	0	0	351	442	595	1.036	243	478	28	12	453	89	—	—	—	—	—	—
2021	20	AAA	Toledo Mud Hens	—	185	159	49	9	3	8	22	51	3	4	0	308	402	553	956	245	406	28	12	415	122	—	—	—	—	—	—
2021	20	AA	Erie SeaWolves	—	373	326	97	16	5	16	41	102	4	12	1	298	383	525	907	227	386	27	11	396	114	—	—	—	—	—	—
2022	21	MLB	Detroit Tigers	—	418	376	95	18	4	5	36	120	3	1	4	253	323	362	685	109	354	29	9	308	98	-1	-1	-1	+2	+9	0.8
2022	21	AAA	Toledo Mud Hens	—	68	62	17	4	0	1	6	14	0	3	0	274	338	387	725	113	340	21	9	327	78	—	—	—	—	—	—
2023	22	MLB	Detroit Tigers	—	416	378	109	19	4	11	35	114	1	7	0	288	350	447	797	159	384	27	8	353	129	+14	+1	-1	+1	+9	2.5
2024	23	MLB	Detroit Tigers	—	584	512	134	27	6	24	64	156	5	4	2	262	349	479	827	217	329	27	11	364	134	+24	+0	+0	-6	+13	3.1
2025	24	MLB	Detroit Tigers	—	655	600	155	31	1	36	46	201	4	2	1	258	315	493	809	235	323	31	7	351	129	+22	+0	-3	-7	+14	2.7
2026	25	MLB	Detroit Tigers	—	592	511	143	32	2	21	71	157	5	3	1	280	373	474	847	194	361	27	12	373	140	+28	+0	-1	-6	+13	3.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2665	2377	636	127	17	97	252	748	18	17	8	268	342	458	800	190	348	28	9	352	125	+78	+0	-6	-16	+58	11.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2019	18	A MLE	West Michigan Whitecaps	—	108	98	19	2	2	2	4	33	3	4	0	194	248	316	564	122	242	31	4	239	48	—	—	—	—	—	—
2019	18	ROK MLE	GCL Tigers West	—	43	39	9	2	0	1	3	17	1	0	0	231	302	359	661	128	375	40	7	300	89	—	—	—	—	—	—
2021	20	AAA MLE	Toledo Mud Hens	—	185	166	46	8	3	5	15	61	3	4	0	277	348	452	800	175	399	33	8	349	122	—	—	—	—	—	—
2021	20	AA MLE	Erie SeaWolves	—	373	336	90	16	4	12	31	121	4	12	1	268	337	446	783	179	373	32	8	337	114	—	—	—	—	—	—
2022	21	MLB MLE	Detroit Tigers	—	418	376	96	18	4	5	36	120	3	1	4	255	325	364	690	109	354	29	9	313	98	-1	-1	-1	+2	+9	0.8
2022	21	AAA MLE	Toledo Mud Hens	—	68	64	17	4	0	1	4	17	0	3	0	266	309	375	684	109	333	25	6	284	78	—	—	—	—	—	—
2023	22	MLB MLE	Detroit Tigers	—	416	378	110	19	4	11	35	114	1	7	0	291	353	450	802	159	384	27	8	359	129	+14	+1	-1	+1	+9	2.5
2024	23	MLB MLE	Detroit Tigers	—	584	516	137	28	6	25	61	156	5	4	2	266	349	488	837	223	329	27	10	367	134	+24	+0	+0	-6	+13	3.1
2025	24	MLB MLE	Detroit Tigers	—	655	601	159	32	1	38	45	201	4	2	1	265	320	511	831	246	323	31	7	358	129	+22	+0	-3	-7	+14	2.7
2026	25	MLB MLE	Detroit Tigers	—	592	515	146	33	2	22	67	157	5	3	1	283	371	483	855	200	361	27	11	375	140	+28	+0	-1	-6	+13	3.4
2019	18	A MLE	2 teams	—	151	136	28	4	2	3	8	51	4	4	0	206	270	331	601	125	294	34	5	256	60	—	—	—	—	—	—
2019	18	A RAW	2 teams	—	151	133	34	5	2	4	11	38	4	4	0	256	331	414	745	158	319	25	7	327	60	—	—	—	—	—	—
2021	20	AA MLE	2 teams	—	558	503	136	24	7	18	45	182	7	16	1	270	339	453	792	183	386	33	8	341	117	—	—	—	—	—	—
2021	20	AA RAW	2 teams	—	558	485	146	25	8	24	63	153	7	16	1	301	389	534	923	233	392	27	11	403	117	—	—	—	—	—	—
2022	21	MLB MLE	2 teams	—	486	440	113	22	4	6	40	137	3	4	4	257	323	366	689	109	357	28	8	309	95	-3	-1	-1	+2	+11	0.8
2022	21	MLB RAW	2 teams	—	486	438	112	22	4	6	42	134	3	4	4	256	325	365	690	110	352	28	9	311	95	-3	-1	-1	+2	+11	0.8
2023	22	MLB MLE	Detroit Tigers	—	416	378	110	19	4	11	35	114	1	7	0	291	353	450	802	159	388	27	8	359	129	+14	+1	-1	+1	+9	2.5
2023	22	MLB RAW	Detroit Tigers	—	416	378	109	19	4	11	35	114	1	7	0	288	350	447	797	159	384	27	8	353	129	+14	+1	-1	+1	+9	2.5
2024	23	MLB MLE	Detroit Tigers	—	584	516	137	28	6	25	61	156	5	4	2	266	349	488	837	223	332	27	10	367	134	+24	+0	+0	-6	+13	3.1
2024	23	MLB RAW	Detroit Tigers	—	584	512	134	27	6	24	64	156	5	4	2	262	349	479	827	217	329	27	11	364	134	+24	+0	+0	-6	+13	3.1
2025	24	MLB MLE	Detroit Tigers	—	655	601	159	32	1	38	45	201	4	2	1	265	320	511	831	246	330	31	7	358	129	+22	+0	-3	-7	+14	2.7
2025	24	MLB RAW	Detroit Tigers	—	655	600	155	31	1	36	46	201	4	2	1	258	315	493	809	235	323	31	7	351	129	+22	+0	-3	-7	+14	2.7
2026	25	MLB MLE	Detroit Tigers	—	592	515	146	33	2	22	67	157	5	3	1	283	371	483	855	200	364	27	11	375	140	+28	+0	-1	-6	+13	3.4
2026	25	MLB RAW	Detroit Tigers	—	592	511	143	32	2	21	71	157	5	3	1	280	373	474	847	194	361	27	12	373	140	+28	+0	-1	-6	+13	3.4
2019	18	A MLE	2 teams	—	151	138	28	4	2	3	8	51	4	4	0	203	270	326	596	123	280	34	5	256	60	—	—	—	—	—	—
2021	20	AA MLE	2 teams	—	558	501	136	24	7	18	45	182	7	16	1	271	339	455	794	184	382	33	8	341	117	—	—	—	—	—	—
2022	21	MLB MLE	2 teams	—	486	440	113	22	4	6	40	137	3	4	4	257	323	366	689	109	351	28	8	309	95	—	—	—	—	—	—
2023	22	MLB MLE	Detroit Tigers	—	416	377	110	19	4	11	35	114	1	7	0	292	353	451	804	159	384	27	8	359	129	—	—	—	—	—	—
2024	23	MLB MLE	Detroit Tigers	—	584	513	137	28	6	25	61	156	5	4	2	267	349	491	840	224	329	27	10	367	134	—	—	—	—	—	—
2025	24	MLB MLE	Detroit Tigers	—	655	601	159	32	1	38	45	201	4	2	1	265	320	511	831	246	323	31	7	358	129	—	—	—	—	—	—
2026	25	MLB MLE	Detroit Tigers	—	592	515	146	33	2	22	67	157	5	3	1	283	371	483	855	200	361	27	11	375	140	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	23	MLB MLE	Detroit Tigers	—	584	513	137	28	6	25	61	156	5	4	2	267	349	491	840	224	329	27	10	367	134	—	—	—	—	—	—
2025	24	MLB MLE	Detroit Tigers	—	655	601	159	32	1	38	45	201	4	2	1	265	320	511	831	246	323	31	7	358	129	—	—	—	—	—	—
2026	25	MLB MLE	Detroit Tigers	—	592	515	146	33	2	22	67	157	5	3	1	283	371	483	855	200	361	27	11	375	140	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	26	MLB MLE	DET	100%	599	531	140	29	2	28	58	166	5	4	1	264	341	485	826	221	328	28	10	361	130	+22	+0	+3	-6	+13	3.2
▸ 2027 — real world (MLB)
2027	26	MLB CTX	DET	100%	539	478	124	26	2	24	52	149	4	3	1	258	336	471	808	213	322	28	10	354	130	+20	+0	+3	-6	+12	2.9
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	27	MLB MLE	DET	100%	604	535	140	29	2	28	59	168	5	3	1	262	340	482	822	219	327	28	10	359	129	+21	+0	+3	-6	+13	3.2
2029	28	MLB MLE	DET	100%	582	517	134	28	2	26	56	163	4	2	1	260	338	476	814	216	325	28	10	356	127	+19	+0	+2	-6	+13	2.8
2030	29	MLB MLE	DET	100%	561	498	128	27	2	25	54	159	4	0	1	256	334	468	801	212	321	28	10	351	124	+16	-0	+2	-6	+12	2.4
2031	30	MLB MLE	DET	100%	546	485	123	25	2	24	52	156	4	0	0	252	329	458	788	206	318	29	10	346	120	+13	+0	+1	-6	+12	2.0
2032	31	MLB MLE	DET	100%	531	473	117	24	1	23	50	154	3	0	0	247	324	447	770	200	313	29	9	339	115	+10	+0	+0	-6	+12	1.6
2033	32	MLB MLE	DET	100%	516	460	110	22	1	21	48	152	3	0	0	240	316	431	747	191	307	29	9	329	109	+6	+0	-1	-6	+11	1.1
2034	33	MLB MLE	DET	100%	421	377	87	17	1	16	39	126	2	0	0	231	307	411	718	180	298	30	9	318	101	+1	+0	-2	-5	+9	0.3
2035	34	MLB MLE	DET	100%	361	323	71	14	0	13	33	111	2	0	0	221	295	388	683	168	287	31	9	304	92	-4	+0	-3	-4	+8	-0.3
2028	27	MLB CTX	DET	100%	604	535	138	29	2	27	59	168	5	3	1	257	335	468	804	211	321	28	10	352	129	+21	+0	+3	-6	+13	3.2
2029	28	MLB CTX	DET	100%	582	517	131	27	2	25	56	163	4	2	1	255	333	463	796	208	319	28	10	349	127	+19	+0	+2	-6	+13	2.8
2030	29	MLB CTX	DET	100%	561	498	125	26	2	24	54	159	4	0	1	251	329	455	784	204	316	28	10	344	124	+16	-0	+2	-6	+12	2.4
2031	30	MLB CTX	DET	100%	546	485	121	25	2	23	52	156	4	0	0	247	325	446	770	199	312	29	10	339	120	+13	+0	+1	-6	+12	2.0
2032	31	MLB CTX	DET	100%	531	473	115	24	1	22	50	154	3	0	0	242	319	434	753	192	308	29	9	332	115	+10	+0	+0	-6	+12	1.6
2033	32	MLB CTX	DET	100%	516	460	108	22	1	20	48	152	3	0	0	235	312	419	731	184	301	29	9	323	109	+6	+0	-1	-6	+11	1.1
2034	33	MLB CTX	DET	100%	421	377	86	17	1	16	39	126	2	0	0	227	302	400	702	173	293	30	9	312	101	+1	+0	-2	-5	+9	0.3
2035	34	MLB CTX	DET	100%	361	323	70	13	0	13	33	111	2	0	0	216	291	378	669	161	282	31	9	298	92	-4	+0	-3	-4	+8	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	6787	6045	1530	310	28	267	643	1937	45	22	11	253	329	446	776	193	326	29	9	341	120	+159	+0	-3	-61	+147	24.8
/ 162G	—	A+C		—	650	579	148	30	3	26	62	186	4	2	1	256	332	453	784	197	329	29	10	341	120	+15	+0	-0	-6	+14	2.4
Career	—	MLE		—	8103	7235	1865	374	39	324	744	2336	60	48	13	258	332	455	787	197	333	29	9	345	120	+179	+0	+0	-66	+159	27.7
/ 162G	—	MLE		—	650	580	149	30	3	26	60	187	5	4	1	257	332	453	785	197	332	29	9	345	120	+16	+0	+0	-6	+14	2.5

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.

2022 AAAToledo Mud Hens · 68 PAwOBA .319 → .284 (−35)K% 20.6% → 24.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.59%	÷1.008	×1.200	—	—	24.52%
BB% (unintentional) /PA	8.82%	÷0.964	×0.690	—	×1.050	6.63%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	25.00%	÷1.015	×0.930	×1.050	×1.050	25.25%
Doubles /BIP	8.33%	÷1.015	×0.830	×1.050	×1.050	7.51%
Triples /BIP	0.00%	÷1.150	×0.970	×1.050	×1.050	0.00%
Home runs /BIP	2.08%	÷1.026	×0.700	—	×1.050	1.49%

Factors used: league row International League. Park (home-season share, regressed): HR 105, 1B 103, 2B 103, 3B 130, K 102, BB 93 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .319 → .284; ISO .113 → .091; BABIP .340 → .333. 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 AAErie SeaWolves · 373 PAwOBA .387 → .337 (−50)K% 27.3% → 32.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.35%	÷1.026	×1.220	—	—	32.50%
BB% (unintentional) /PA	10.72%	÷0.945	×0.690	—	×1.050	8.22%
HBP% /PA	1.07%	—	×0.850	—	×1.050	0.96%
Singles /BIP	26.79%	÷1.030	×0.940	×1.031	×1.050	26.46%
Doubles /BIP	7.14%	÷0.935	×0.870	×1.031	×1.050	7.19%
Triples /BIP	2.23%	÷1.150	×0.920	×1.031	×1.050	1.93%
Home runs /BIP	7.14%	÷1.055	×0.780	—	×1.050	5.55%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 111, 1B 106, 2B 87, 3B 130, K 105, BB 89 — 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 ×1.031.

Result: wOBA .387 → .337; ISO .227 → .185; BABIP .386 → .373. 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 AAAToledo Mud Hens · 185 PAwOBA .405 → .349 (−56)K% 27.6% → 33.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.57%	÷1.000	×1.200	—	—	33.09%
BB% (unintentional) /PA	11.35%	÷1.038	×0.690	—	×1.050	7.92%
HBP% /PA	1.62%	—	×0.940	—	×1.050	1.60%
Singles /BIP	26.85%	÷0.991	×0.930	×1.050	×1.050	27.78%
Doubles /BIP	8.33%	÷1.013	×0.830	×1.050	×1.050	7.53%
Triples /BIP	2.78%	÷0.981	×0.920	×1.050	×1.050	2.87%
Home runs /BIP	7.41%	÷1.052	×0.700	—	×1.050	5.18%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 110, 1B 98, 2B 103, 3B 96, K 100, BB 108 — applied at half strength. Age: age 21 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (6.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .405 → .349; ISO .245 → .192; BABIP .406 → .399. 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 AWest Michigan Whitecaps · 108 PAwOBA .278 → .239 (−38)K% 24.1% → 30.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.07%	÷1.063	×1.360	—	—	30.81%
BB% (unintentional) /PA	5.56%	÷0.974	×0.690	—	×1.045	4.11%
HBP% /PA	2.78%	—	×0.780	—	×1.045	2.26%
Singles /BIP	21.43%	÷1.025	×0.920	×0.950	×1.045	19.10%
Doubles /BIP	2.86%	÷0.885	×0.830	×0.950	×1.045	2.66%
Triples /BIP	2.86%	÷0.904	×0.910	×0.950	×1.045	2.86%
Home runs /BIP	2.86%	÷0.895	×0.800	—	×1.045	2.67%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 79, 1B 105, 2B 77, 3B 81, K 113, BB 95 — 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 ×0.950.

Result: wOBA .278 → .239; ISO .125 → .116; BABIP .268 → .242. 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 ROKGCL Tigers West · 43 PAwOBA .441 → .300 (−141)K% 27.9% → 40.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.91%	÷1.000	×1.440	—	—	40.19%
BB% (unintentional) /PA	11.63%	÷1.000	×0.620	—	×1.008	7.26%
HBP% /PA	2.33%	—	×0.720	—	×1.008	1.69%
Singles /BIP	32.00%	÷1.000	×0.820	—	×1.008	26.44%
Doubles /BIP	12.00%	÷1.000	×0.720	—	×1.008	8.70%
Triples /BIP	0.00%	÷1.000	×0.720	—	×1.008	0.00%
Home runs /BIP	8.00%	÷1.000	×0.780	—	×1.008	6.29%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — 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 .441 → .300; ISO .243 → .163; BABIP .478 → .375. 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
#1Dusty Baker'68-'86 * career totals — 16 seasons, 8,021 PA	12.1	8,021	242	137	273*	344*	466*	-62	-21	33.0	28.5
/162	664	20	11	-5.1	-1.7	2.7	pk7: 24
#2Gary Matthews'72-'87 * career totals — 16 seasons, 8,189 PA	12.3	8,189	234	183	276*	360*	473*	-90	-47	31.2	26.2
/162	664	19	15	-7.3	-3.8	2.5	pk7: 21
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 14 projected seasons	11.0	7,326	298	25	258	330	457	-78	-31	29.4	25.5
/162	664	27	2	-7.1	-2.8	2.7	pk7: 22
#3Nick Swisherlast yr '15 career totals — 12 seasons, 6,308 PA	9.5	6,308	245	13	249	351	447	-62	-56	24.5	24.4
/162	664	26	1	-6.5	-5.9	2.6	pk7: 24
#4Pat Burrell'00-'11 * career totals — 12 seasons, 6,520 PA	9.8	6,520	292	7	244*	349*	460*	-81	-52	23.3	21.9
/162	664	30	1	-8.3	-5.2	2.4	pk7: 20
#5Jay Brucelast yr '20 career totals — 13 seasons, 6,603 PA	9.9	6,603	318	65	245	314	469	-71	-54	19.6	19.5
/162	664	32	7	-7.1	-5.4	2.0	pk7: 19
#6Tom Brunansky'81-'94 * career totals — 13 seasons, 7,169 PA	10.8	7,169	271	69	243*	327*	457*	-77	-6	19.0	17.7
/162	664	25	6	-7.1	-0.5	1.8	pk7: 16

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
Riley Greene (OGILVIE)	26	50	60	45	50	261/339/480	219	328	25	3	28%	10%	130	+3.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Franmil Reyes 2021 · MLB	26	49→53	62→65	45	48	259/326/478	219	317	31	2	28%	9%	124	+3.1	238/300/435	197	311	27	4	31%	8%	105	+1.7	224/286/409	185	295	26	3	32%	8%	94	+0.6
●Michael Conforto 2019 · MLB	26	49→53	60→65	41→45	54	259/350/479	220	306	28	4	25%	11%	133	+3.7	264/360/473	209	315	26	6	23%	11%	136	+3.9	263/365/464	201	313	25	5	23%	12%	136	+3.0
✕Chris Duncan 2008 · MLB	27	49→50	59→60	41→40	51	255/332/465	209	314	28	3	27%	10%	124	+3.1	226/307/368	142	282	16	4	24%	10%	92	+0.7	200/281/304	104	251	11	3	24%	10%	68	-0.6
●Jay Bruce 2013 · MLB	26	46→56	60→65	46→50	49	249/315/468	219	287	27	8	24%	8%	118	+2.7	236/295/428	192	286	23	9	25%	8%	101	+1.4	240/302/473	233	263	30	5	22%	8%	115	+2.5
●Kerry Carpenter 2024 · MLB	26	49→53	58→70	42→45	42	257/311/456	199	309	26	6	26%	6%	114	+2.4	256/309/491	235	298	31	4	25%	6%	122	+2.9	247/301/499	252	279	34	1	25%	6%	122	+1.7
●Jonny Gomes 2007 · MLB	26	46→53	61→60	43→50	53	244/342/470	226	290	28	8	26%	11%	128	+3.4	234/318/440	206	295	25	13	29%	9%	113	+2.3	244/335/427	183	302	24	7	26%	10%	117	+1.8
★Matt Chapman 2019 · MLB	26	47→55	61→65	41→50	47	247/320/481	234	308	28	4	29%	9%	123	+3.0	248/332/497	249	294	32	3	26%	10%	131	+3.6	241/333/447	206	296	23	10	25%	11%	121	+2.8
●Craig Wilson 2004 · MLB	27	51→53	59→60	46→40	47	264/351/480	216	322	27	6	26%	8%	135	+3.8	260/346/472	212	328	25	5	27%	8%	130	+3.5	258/343/467	209	333	25	3	28%	8%	129	+2.5
★Kyle Schwarber 2017 · MLB	24	50→49	59→70	45	52	257/342/468	211	324	27	6	28%	11%	128	+3.3	234/324/479	245	278	34	4	29%	11%	124	+3.1	231/350/489	258	271	37	5	29%	14%	136	+4.7
●Mike Jacobs 2007 · MLB	26	51→54	59→65	47→40	47	268/322/485	217	304	26	4	22%	7%	124	+3.1	252/302/462	210	290	27	3	23%	7%	112	+2.2	243/294/452	209	279	28	1	24%	6%	108	+1.5
✕Eloy Jiménez 2023 · MLB	26	51→57	56→65	45→40	47	267/324/450	183	315	25	2	24%	8%	118	+2.6	253/303/395	142	296	18	3	20%	7%	97	+1.1	246/294/370	124	287	15	2	20%	6%	87	+0.2
✕Austin Meadows 2022 · MLB	27	45→55	60→65	45→55	51	242/319/466	224	270	27	7	22%	9%	119	+2.7	234/311/386	152	266	16	6	18%	9%	97	+1.1	225/316/300	75	263	2	0	14%	10%	80	-0.0
★Pat Burrell 2003 · MLB	26	51→54	61→65	46→30	55	266/350/497	231	314	29	2	24%	11%	137	+4.0	248/341/457	209	294	26	2	24%	12%	125	+3.2	261/386/493	232	300	30	0	22%	16%	150	+5.0
✕Jesús Sánchez 2024 · MLB	26	50→54	56→60	49→50	47	254/320/451	197	317	23	5	27%	8%	116	+2.5	249/311/419	170	308	19	12	25%	8%	105	+1.7	245/307/406	160	300	19	13	24%	7%	101	+1.1
●Cody Ross 2008 · MLB	27	48→55	60→65	45	48	257/324/476	219	298	27	5	24%	8%	124	+3.1	266/320/471	205	309	24	7	22%	6%	121	+2.9	266/317/455	189	310	22	7	21%	6%	117	+2.4
★Richie Sexson 2001 · MLB	26	52→53	60→65	49→30	50	268/343/488	219	324	28	4	26%	9%	132	+3.7	270/346/516	246	311	33	3	24%	10%	141	+4.3	269/352/524	255	301	35	1	23%	10%	146	+5.3
★Rafael Devers 2023 · MLB	26	51→57	61→65	42→45	48	273/330/500	227	300	29	4	20%	7%	131	+3.6	262/334/488	226	296	29	4	22%	9%	130	+3.5	256/342/505	249	299	33	1	25%	11%	138	+4.4
✕Josh Phelps 2004 · MLB	26	54→52	59→60	41→40	46	276/350/488	212	340	27	3	26%	8%	136	+3.9	255/312/449	194	311	24	3	26%	6%	113	+2.3	252/314/437	185	316	24	3	27%	6%	109	+1.4
●Russell Branyan 2002 · MLB	26	45→43	65→70	45	46	240/321/492	252	321	34	4	35%	10%	126	+3.2	233/320/465	232	319	31	5	34%	11%	120	+2.8	242/324/500	258	295	36	3	30%	10%	130	+2.5
✕Ike Davis 2013 · MLB	26	47→55	60	38→40	53	250/326/470	219	285	28	2	23%	10%	122	+3.0	229/320/397	168	273	20	3	23%	12%	104	+1.6	220/319/362	142	265	15	2	22%	13%	96	+0.7

Riley Greene

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps