Dylan O'Rae

2B Biloxi Shuckers

Age 23 L/R 5'8" / 160 lbs AA HR +10%K +6% Svc 0.0 · Ctrl thru 2033

Overview

AAPROSPECTMiLBFA 2034

OGV OFP40OGV rank#263ETA2029MLB%2%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	20	AA/A+MIL	582	.217/.358/.265	1	62	62	—	.203/.313/.243
2025	21	INTLSurprise Sagu…	49	.302/.388/.395	0	6	128	—
2026	22	AAMIL	436	.273/.397/.366	3	63	99	—	.265/.357/.353
2027PROJMLE	23	MLBMIL	4	.223/.320/.292	0	0	81	0.0
2028PROJ39% MLB	24	MLBMIL	158	.229/.325/.315	2	11	87	0.3
2029PROJ56% MLB	25	MLBMIL	248	.232/.327/.330	3	15	91	0.6

Next 3 projected WAR 0.9Projected 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$3M2032Arb-2$5M2033Arb-3$5M

Skills · percentileMiLB Statcast 2026 AA

Speed99

Whiff%97

Chase%95

Z-Con%95

BB%90

K%83

Career WAR0.0 WAR median (P10 -0.5 / P90 11, comp-based) · star 2% · didn't stick 81%

CompsBilly Hamilton (age 22) · Victor Scott II (age 23) · Mallex Smith (age 23)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†81

AVG/OBP/SLG.223 / .320 / .292

PA4

HR0

K%25

BB%11

BABIP289

ISO71

MLB%2%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$13M ctrl surplus

Tools · ContractCON 55 / POW 37

Toolsscout grade

CONTACT55

scouting grade only

POWER37

scouting grade only

EYE65

scouting grade only

SPEED80

scouting grade only

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	+0.3	$1M	+$0.4M
2029	Pre-Arb	$0.8M	+0.6	$2M	+$1M
2030	Pre-Arb	$0.8M	+0.8	$3M	+$2M
2031	Arb-1	$3M	+0.7	$2M	+$0.0M (cut)
2032	Arb-2	$5M	+0.7	$2M	+$0.0M (cut)
2033	Arb-3	$5M	+0.5	$1M	+$0.0M (cut)
Totals		$2M		$11M	+$4M

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)
2022	18	ROK	ACL Brewers Gold	—	33	26	8	0	0	0	6	7	0	4	1	308	438	308	745		400	21	18	346	69	—	—	—	—	—	—
2023	19	A	Carolina Mudcats	—	107	88	29	4	0	0	17	14	1	16	4	330	443	375	818	45	387	13	16	377	107	—	—	—	—	—	—
2023	19	ROK	ACL Brewers	—	178	130	47	4	1	0	40	23	6	28	2	362	528	408	936	46	431	13	22	433	116	—	—	—	—	—	—
2024	20	AA	Biloxi Shuckers	—	298	246	42	7	0	1	45	71	5	29	7	171	311	211	522	41	234	24	15	258	38	—	—	—	—	—	—
2024	20	A+	Wisconsin Timber Rattlers	—	284	229	61	7	3	0	42	51	12	33	5	266	406	323	730	57	341	18	15	345	88	—	—	—	—	—	—
2025	21	INTL	Surprise Saguaros	—	49	43	13	4	0	0	5	15	1	6	1	302	388	395	783	93	464	31	10	357	128	—	—	—	—	—	—
2026	22	AA	Biloxi Shuckers	—	436	355	97	12	6	3	69	79	5	63	9	273	397	366	763	93	342	18	16	348	99	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	18	ROK MLE	ACL Brewers Gold	—	33	28	7	0	0	0	4	10	0	4	1	250	344	250	594		343	30	12	270	69	—	—	—	—	—	—
2023	19	A MLE	Carolina Mudcats	—	107	93	27	3	0	0	12	19	1	16	4	290	377	323	700	32	365	18	11	326	107	—	—	—	—	—	—
2023	19	ROK MLE	ACL Brewers	—	178	145	42	3	1	0	25	34	6	28	2	290	415	324	739	34	366	19	14	339	116	—	—	—	—	—	—
2024	20	AA MLE	Biloxi Shuckers	—	298	259	43	7	0	1	32	87	5	29	7	166	270	205	475	39	244	29	11	225	38	—	—	—	—	—	—
2024	20	A+ MLE	Wisconsin Timber Rattlers	—	284	240	58	6	2	0	31	65	12	33	5	242	357	283	640	42	329	23	11	298	88	—	—	—	—	—	—
2026	22	AA MLE	Biloxi Shuckers	—	436	377	100	12	6	3	49	96	5	63	9	265	357	353	710	88	342	22	11	315	99	—	—	—	—	—	—
2022	18	ROK MLE	ACL Brewers Gold	—	33	28	7	0	0	0	4	10	0	4	1	250	344	250	594		368	30	12	270	69	—	—	—	—	—	—
2022	18	ROK RAW	ACL Brewers Gold	—	33	26	8	0	0	0	6	7	0	4	1	308	438	308	745		400	21	18	346	69	—	—	—	—	—	—
2023	19	ROK MLE	2 teams	—	285	238	71	7	1	0	37	53	7	44	6	298	408	336	744	38	378	19	13	334	112	—	—	—	—	—	—
2023	19	ROK RAW	2 teams	—	285	218	76	8	1	0	57	37	7	44	6	349	496	394	891	46	413	13	20	412	112	—	—	—	—	—	—
2024	20	AA MLE	2 teams	—	582	498	101	13	2	1	64	152	17	62	12	203	314	243	557	40	288	26	11	261	63	—	—	—	—	—	—
2024	20	AA RAW	2 teams	—	582	475	103	14	3	1	87	122	17	62	12	217	358	265	623	48	288	21	15	301	63	—	—	—	—	—	—
2025	21	INTL MLE	Surprise Saguaros	—	49	43	13	4	0	0	5	15	1	6	1	302	388	395	783	93	464	31	10	—	—	—	—	—	—	—	—
2025	21	INTL RAW	Surprise Saguaros	—	49	43	13	4	0	0	5	15	1	6	1	302	388	395	783	93	464	31	10	357	128	—	—	—	—	—	—
2026	22	AA MLE	Biloxi Shuckers	—	436	377	100	12	6	3	49	96	5	63	9	265	357	353	710	88	346	22	11	315	99	—	—	—	—	—	—
2026	22	AA RAW	Biloxi Shuckers	—	436	355	97	12	6	3	69	79	5	63	9	273	397	366	763	93	342	18	16	348	99	—	—	—	—	—	—
2022	18	ROK MLE	ACL Brewers Gold	—	33	29	7	0	0	0	4	10	0	4	1	241	344	241	585		343	30	12	270	69	—	—	—	—	—	—
2023	19	ROK MLE	2 teams	—	285	239	71	7	1	0	37	53	7	44	6	297	408	335	743	38	366	19	13	334	112	—	—	—	—	—	—
2024	20	AA MLE	2 teams	—	582	496	101	13	2	1	64	152	17	62	12	204	314	244	558	40	285	26	11	261	63	—	—	—	—	—	—
2026	22	AA MLE	Biloxi Shuckers	—	436	379	100	12	6	3	49	96	5	63	9	264	357	351	708	87	342	22	11	315	99	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	20	AA MLE	2 teams	—	582	496	101	13	2	1	64	152	17	62	12	204	314	244	558	40	285	26	11	261	63	—	—	—	—	—	—
2026	22	AA MLE	Biloxi Shuckers	—	436	379	100	12	6	3	49	96	5	63	9	264	357	351	708	87	342	22	11	315	99	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	MIL	2%	546	473	108	16	5	3	60	120	8	40	6	226	323	297	620	71	293	22	11	288	81	-12	+6	+0	+2	+12	0.6
▸ 2027 — real world (MLB)
2027	23	MLB CTX	MIL	2%	4	4	1	0	0	0	0	1	0	0	0	223	320	292	612	69	289	25	0	285	81	-0	+0	+0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	MIL	39%	409	355	82	12	3	4	45	89	6	28	4	231	327	319	646	87	294	22	11	297	87	-6	+4	+0	+1	+9	0.8
2029	25	MLB MLE	MIL	56%	445	387	91	13	4	6	49	97	6	28	4	234	329	333	662	98	295	22	11	303	91	-5	+4	+0	+2	+10	1.1
2030	26	MLB MLE	MIL	64%	465	406	95	14	4	7	50	101	6	27	4	236	330	341	671	105	295	22	11	306	93	-4	+4	+0	+2	+10	1.2
2031	27	MLB MLE	MIL	66%	472	412	97	15	4	7	51	103	6	25	4	235	328	342	671	107	294	22	11	306	93	-4	+3	+0	+2	+10	1.2
2032	28	MLB MLE	MIL	67%	470	411	96	15	4	7	50	104	6	22	4	234	326	341	667	107	293	22	11	304	92	-4	+3	-1	+2	+10	1.0
2033	29	MLB MLE	MIL	66%	461	403	93	14	3	7	49	103	6	18	3	232	324	335	659	103	292	22	11	301	90	-6	+2	-1	+2	+10	0.7
2034	30	MLB MLE	MIL	65%	451	396	90	14	3	6	47	103	5	15	3	229	320	327	648	98	291	23	10	296	87	-7	+2	-2	+2	+10	0.4
2035	31	MLB MLE	MIL	65%	436	383	87	13	3	6	45	101	5	11	2	225	316	318	633	93	288	23	10	291	83	-9	+1	-3	+2	+9	0.1
2036	32	MLB MLE	MIL	65%	413	362	81	12	3	5	43	97	5	8	2	220	310	306	616	86	285	23	10	284	78	-11	+1	-4	+1	+9	-0.3
2028	24	MLB CTX	MIL	39%	158	138	31	4	1	2	17	34	2	11	2	229	325	315	640	86	290	22	11	295	87	-2	+1	+0	+1	+3	0.3
2029	25	MLB CTX	MIL	56%	248	216	50	7	2	3	27	54	3	15	2	232	327	330	657	98	291	22	11	301	91	-3	+2	+0	+1	+5	0.6
2030	26	MLB CTX	MIL	64%	297	259	61	9	2	5	32	65	4	17	3	233	328	339	666	105	290	22	11	304	93	-2	+2	+0	+1	+6	0.8
2031	27	MLB CTX	MIL	66%	311	271	63	9	2	5	33	68	4	16	3	233	326	340	666	107	290	22	11	304	93	-3	+2	+0	+1	+7	0.7
2032	28	MLB CTX	MIL	67%	314	274	63	9	2	5	33	70	4	14	2	232	324	339	663	107	289	22	11	302	92	-3	+2	-0	+1	+7	0.7
2033	29	MLB CTX	MIL	66%	303	264	61	9	2	5	32	68	4	12	2	229	321	332	654	103	288	22	11	299	90	-4	+2	-1	+1	+7	0.5
2034	30	MLB CTX	MIL	65%	294	257	58	8	2	4	31	67	4	10	2	227	318	325	643	98	287	23	11	294	87	-5	+1	-1	+1	+6	0.3
2035	31	MLB CTX	MIL	65%	282	248	56	8	2	4	29	65	3	7	1	223	313	315	628	92	284	23	10	289	83	-6	+1	-2	+1	+6	0.1
2036	32	MLB CTX	MIL	65%	267	235	51	7	2	3	27	63	3	5	1	218	308	303	611	85	281	24	10	282	78	-7	+1	-2	+1	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2474	2162	494	70	17	36	261	554	31	107	18	228	320	327	647	98	289	22	11	297	86	-34	+14	-7	+9	+54	3.7
/ 162G	—	A+C		—	650	568	128	18	4	9	69	146	8	28	5	225	318	319	636	93	286	22	11	297	86	-9	+4	-2	+2	+14	1.0
Career	—	MLE		—	5617	4881	1145	164	42	60	611	1270	84	377	61	235	330	322	652	88	303	23	11	295	86	-60	+27	-10	+15	+92	6.4
/ 162G	—	MLE		—	650	565	133	19	5	7	71	147	10	44	7	235	332	324	656	88	304	23	11	295	86	-9	+4	-2	+2	+14	1.0

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 AABiloxi Shuckers · 436 PAwOBA .342 → .315 (−27)K% 18.1% → 22.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.12%	÷1.000	×1.220	—	—	22.11%
BB% (unintentional) /PA	15.83%	÷1.000	×0.680	—	×1.042	11.21%
HBP% /PA	1.15%	—	×0.840	—	×1.042	1.00%
Singles /BIP	27.54%	÷1.000	×0.920	×1.050	×1.042	27.72%
Doubles /BIP	4.35%	÷1.000	×0.910	×1.050	×1.042	4.33%
Triples /BIP	2.17%	÷1.000	×0.880	×1.050	×1.042	2.09%
Home runs /BIP	1.09%	÷1.000	×0.800	—	×1.042	0.91%

Factors used: league row SL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .342 → .315; ISO .093 → .091; BABIP .342 → .342. 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 AABiloxi Shuckers · 298 PAwOBA .254 → .225 (−28)K% 23.8% → 29.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.83%	÷0.994	×1.220	—	—	29.24%
BB% (unintentional) /PA	15.10%	÷0.989	×0.680	—	×1.050	10.90%
HBP% /PA	1.68%	—	×0.840	—	×1.050	1.48%
Singles /BIP	19.43%	÷0.972	×0.920	×1.050	×1.050	20.27%
Doubles /BIP	4.00%	÷0.971	×0.910	×1.050	×1.050	4.13%
Triples /BIP	0.00%	÷0.900	×0.880	×1.050	×1.050	0.00%
Home runs /BIP	0.57%	÷1.198	×0.800	—	×1.050	0.40%

Factors used: league row SL. Park (home-season share, regressed): HR 140, 1B 94, 2B 94, 3B 80, K 99, BB 98 — applied at half strength. Age: age 20 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (4.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .254 → .225; ISO .041 → .038; BABIP .234 → .244. 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 · 284 PAwOBA .339 → .298 (−41)K% 18.0% → 23.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.96%	÷0.993	×1.270	—	—	22.97%
BB% (unintentional) /PA	14.79%	÷0.995	×0.710	—	×1.042	11.00%
HBP% /PA	4.23%	—	×0.790	—	×1.042	3.48%
Singles /BIP	28.65%	÷1.022	×0.920	×1.050	×1.042	28.23%
Doubles /BIP	3.93%	÷0.991	×0.810	×1.050	×1.042	3.52%
Triples /BIP	1.69%	÷1.150	×0.850	×1.050	×1.042	1.36%
Home runs /BIP	0.00%	÷0.979	×0.800	—	×1.042	0.00%

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 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 ×1.050.

Result: wOBA .339 → .298; ISO .057 → .048; BABIP .341 → .329. 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 · 178 PAwOBA .429 → .339 (−89)K% 12.9% → 19.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.92%	÷0.969	×1.440	—	—	19.21%
BB% (unintentional) /PA	22.47%	÷0.998	×0.620	—	×1.008	14.06%
HBP% /PA	3.37%	—	×0.720	—	×1.008	2.45%
Singles /BIP	39.25%	÷0.991	×0.820	×1.026	×1.008	33.58%
Doubles /BIP	3.74%	÷0.952	×0.720	×1.026	×1.008	2.92%
Triples /BIP	0.93%	÷0.923	×0.720	×1.026	×1.008	0.75%
Home runs /BIP	0.00%	÷0.898	×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 80, 1B 98, 2B 90, 3B 85, K 94, BB 100 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.026.

Result: wOBA .429 → .339; ISO .046 → .039; BABIP .431 → .366. 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 · 107 PAwOBA .372 → .326 (−46)K% 13.1% → 18.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.08%	÷0.990	×1.360	—	—	17.97%
BB% (unintentional) /PA	15.89%	÷1.018	×0.690	—	×1.045	11.25%
HBP% /PA	0.93%	—	×0.780	—	×1.045	0.76%
Singles /BIP	33.78%	÷1.049	×0.920	×1.050	×1.045	32.50%
Doubles /BIP	5.41%	÷1.090	×0.830	×1.050	×1.045	4.52%
Triples /BIP	0.00%	÷0.900	×0.910	×1.050	×1.045	0.00%
Home runs /BIP	0.00%	÷1.072	×0.800	—	×1.045	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 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 ×1.050.

Result: wOBA .372 → .326; ISO .045 → .038; BABIP .387 → .365. 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 Gold · 33 PAwOBA .349 → .270 (−79)K% 21.2% → 30.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.21%	÷0.991	×1.440	—	—	30.83%
BB% (unintentional) /PA	18.18%	÷1.017	×0.620	—	×1.022	11.33%
HBP% /PA	0.00%	—	×0.720	—	×1.022	0.00%
Singles /BIP	42.11%	÷0.979	×0.820	—	×1.022	36.08%
Doubles /BIP	0.00%	÷1.023	×0.720	—	×1.022	0.00%
Triples /BIP	0.00%	÷0.900	×0.720	—	×1.022	0.00%
Home runs /BIP	0.00%	÷1.144	×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 129, 1B 96, 2B 105, 3B 80, K 98, BB 103 — 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 .349 → .270; ISO .000 → .000; BABIP .400 → .343. 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
#1Freddie Patek'68-'81 * career totals — 13 seasons, 6,246 PA	9.4	6,246	41	385	242*	311*	356*	+66	-5	14.7	15.3
/162	664	4	41	+7.0	-0.5	1.6	pk7: 16
#2Julio Cruz'77-'86 * career totals — 10 seasons, 4,437 PA	6.7	4,437	23	343	233*	321*	315*	+14	+67	12.3	12.7
/162	664	3	51	+2.2	+10.0	1.8	pk7: 13
#3Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.7	2,478	34	108	232	321	332	+27	+18	7.4	7.0
/162	664	9	29	+7.1	+4.8	2.0	pk7: 7
#4Damian Jackson'96-'06 * career totals — 7 seasons, 2,509 PA	3.8	2,509	32	133	232*	309*	342*	+10	+11	5.7	6.0
/162	664	8	35	+2.5	+3.0	1.5	pk7: 6
#5Everth Cabreralast yr '15 career totals — 6 seasons, 2,059 PA	3.1	2,059	12	136	247	316	328	+22	-1	5.1	5.1
/162	664	4	44	+7.1	-0.5	1.6	pk7: 5
#6Chris Getzlast yr '13 career totals — 5 seasons, 1,539 PA	2.3	1,539	3	86	251	310	309	+5	+12	2.7	2.7
/162	664	1	37	+2.4	+5.1	1.2	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
Dylan O'Rae (OGILVIE)	23	50→55	32→37	80	65	224/320/294	70	293	1	16	22%	11%	81	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Billy Hamilton 2013 · AA	22	55→62	36→40	76→70	47	251/311/329	79	345	2	72	26%	8%	83	+0.1	241/288/326	85	308	5	67	22%	6%	74	-0.6	242/301/327	85	311	4	55	22%	8%	78	-0.2
✕Victor Scott II 2024 · AA	23	52→55	41→40	70→65	45	246/304/351	104	306	7	50	21%	6%	86	+0.3	214/279/302	88	272	7	40	23%	7%	66	-1.1	197/269/275	78	252	7	40	23%	7%	56	-1.5
●Mallex Smith 2016 · AAA	23	58→64	38→45	65	48	271/330/358	88	346	4	46	22%	8%	97	+1.1	265/325/369	104	340	5	40	22%	8%	97	+1.1	268/334/376	108	341	5	43	21%	8%	102	+1.1
✕Billy Burns 2014 · AA	24	60→64	34→40	65	53	276/350/333	57	335	1	39	17%	8%	99	+1.3	255/306/327	72	310	3	35	17%	6%	80	-0.1	261/304/328	67	311	2	29	16%	5%	79	-0.2
✕Braiden Ward 2023 · A	24	48	38→40	64→70	41	221/318/303	83	324	6	41	30%	7%	83	+0.1	226/316/313	87	315	5	49	28%	6%	84	+0.1	233/320/331	98	311	5	64	24%	6%	85	+0.2
●Joey Gathright 2006 · MLB	25	58→66	37→30	67→60	46	269/323/352	83	338	3	47	21%	6%	93	+0.8	261/333/322	61	312	2	35	16%	8%	91	+0.6	284/345/321	37	331	0	35	13%	7%	92	+0.5
●Michael Bourn 2008 · MLB	25	54→62	39→45	68→65	47	256/312/352	96	325	6	38	22%	7%	88	+0.5	253/315/341	88	321	5	46	21%	8%	87	+0.4	273/334/374	101	348	5	38	21%	8%	103	+1.7
✕Micah Johnson 2014 · AA	23	52→61	40→45	63→60	43	247/296/348	101	326	6	35	25%	6%	82	-0.0	261/306/358	97	336	6	28	23%	6%	88	+0.4	261/307/352	91	337	6	27	23%	6%	84	+0.1
✕Myles Straw 2019 · AAA	24	57→60	35→40	63→60	51	263/329/325	62	340	2	37	22%	9%	88	+0.5	258/326/326	68	332	3	33	21%	9%	88	+0.4	251/326/314	63	310	2	27	18%	10%	85	+0.2
●Dee Strange-Gordon 2012 · MLB	24	58→68	36→40	64→65	43	273/307/344	71	328	2	42	17%	4%	84	+0.2	259/305/333	74	321	2	49	19%	6%	82	-0.0	311/342/389	78	362	3	52	14%	4%	108	+1.9
✕Enrique Bradfield Jr. 2024 · A	22	49→51	38→40	62→65	57	230/329/306	76	292	5	37	21%	11%	86	+0.3	227/294/309	82	297	5	50	23%	8%	73	-0.6	227/294/309	81	301	5	57	24%	8%	71	-0.5
●Brett Gardner 2009 · MLB	25	57→60	38→55	68→65	52	261/332/355	94	335	3	41	22%	9%	97	+1.1	260/344/363	103	317	6	45	18%	11%	103	+1.6	245/329/417	171	277	19	16	18%	10%	112	+2.2
✕Yonny Hernández 2023 · MLB	25	49→59	36→30	63→60	55	227/321/300	73	284	3	39	19%	10%	82	-0.0	235/317/307	72	298	4	22	20%	10%	82	-0.0	266/328/324	58	317	2	17	16%	7%	85	+0.1
✕Eric Young Jr. 2008 · A	23	53→60	40→45	63→65	46	250/308/354	104	315	6	41	22%	6%	88	+0.5	257/322/352	95	323	5	42	20%	8%	93	+0.8	267/337/363	96	323	3	47	17%	9%	101	+1.0
✕Jayce Easley 2022 · A	22	47→46	36→30	64→65	54	213/313/279	66	305	3	44	28%	12%	74	-0.5	189/280/255	66	272	4	32	29%	10%	57	-1.8	158/252/206	48	234	3	32	31%	10%	34	-1.5
✕Johan Rojas 2024 · MLB	23	51→60	43→45	64→65	42	246/291/366	120	307	9	37	23%	5%	84	+0.2	245/288/337	92	309	6	34	22%	5%	76	-0.4	243/284/316	73	306	4	40	21%	5%	69	-0.6
●Carl Crawford 2005 · MLB	23	58→64	43→55	70→65	45	281/313/405	125	314	8	45	14%	4%	101	+1.4	295/330/453	158	327	13	44	14%	5%	119	+2.7	301/337/462	162	335	13	47	14%	4%	125	+3.4
✕José Peraza 2015 · AA	21	59→67	37→45	65	42	280/309/362	81	327	3	40	15%	3%	89	+0.5	269/297/350	81	308	5	32	14%	3%	82	+0.0	275/311/366	91	307	8	25	13%	4%	91	+0.7
✕Kyle Wren 2014 · A	23	55→62	41→40	62→60	46	265/304/372	107	306	6	32	16%	5%	90	+0.6	257/302/323	66	318	2	30	18%	6%	78	-0.3	254/314/331	77	325	3	25	21%	8%	82	-0.0
✕Luis Valdez 2023 · A	23	50→52	36→40	63→70	41	231/287/297	66	332	4	41	30%	6%	67	-1.1	197/244/263	66	308	3	45	35%	5%	43	-2.8	168/210/226	58	272	2	60	37%	5%	19	-1.5

Dylan O'Rae

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps