Myles Straw

RF Toronto Blue Jays

Age 32 R/R 5'9" / 178 lbs MLB Svc 6.727 · Ctrl thru 2027

Overview

MLB40-MANExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	29	AAACLE	495	.240/.324/.329	3	30	51	—	.209/.264/.282
2025	30	MLBTOR	299	.262/.314/.367	4	12	85	1.1
2026	31	MLBTOR	330	.241/.307/.342	3	7	81	-0.3
2027PROJ	32	MLBTOR	248	.253/.315/.360	3	15	91	0.2
2028PROJ	33	MLBTOR	219	.246/.306/.343	3	9	83	-0.5

Last 3 seasons WAR 0.8 · Next 2 projected WAR -0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service6.727First FA2028Options3

2027Ext / FA-deal$6M

Skills · percentileStatcast 2024-2026

Speed90

xwOBA36

Bat Spd28

Avg EV12

Barrel%11

Form.262/.332/.350 · rolling true talent (60d window) · proj .252/.311/.359

CompsWillie Bloomquist (age 32) · Justin Christian (age 32) · Wynton Bernard (age 33)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 9391vR 84

AVG/OBP/SLG.253 / .315 / .360

PA248

HR3

SB15

K%16

BB%8

BABIP293

ISO102

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Recent Form · Splits · ContractCON 55 / POW 40

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT55

xAVG

480.250

POWER40

Barrel%

113.2

Avg EV

1286.2

Bat Spd

2869.0

EYE55

scouting grade only

SPEED60

Sprint

9029.7

Recent Formrolling true talent ⓘ

K%13%▲▲11% over 65 PA (60d) · proj 16%

BB%9%▲▲12% over 65 PA (60d) · proj 8%

ISO.088▼.036 over 56 AB (60d) · proj .107

HR/BB1.2%·0.0% over 49 BBE (60d) · proj 1.7%

BABIP.296▲.367 over 49 BIP (60d) · proj .292

SLASH.262/.332/.350·proj .252/.311/.359

Platoon Splits2025-2026 · 340 PA

vs LHP

vs RHP

Edge

166

174

—

wRC+

102

▶R

wOBA

301

319

▶R

ISO

086

132

▶▶R

BABIP

331

293

◀L

18.1%

13.2%

▶▶R

BB%

6.6%

6.3%

◀L

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

Status FA

MLB Debut 2019

Service 6.727 yrs.days

Team Control Through 2027

First FA Year 2028

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$6M	+0.8	$3M	-$3M
Totals		$6M		$3M	-$3M

Options · projected decision
2027	CLUB OPT	$28.0M / $0.0M buyout	DECLINE
2028	CLUB OPT	$8.0M / $1.8M buyout	DECLINE
2029	CLUB OPT	$8.5M / $1.8M buyout	DECLINE

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)
2015	20	ROK	Greeneville Astros	—	248	209	56	10	3	0	29	51	1	22	9	268	360	344	704	77	348	21	12	313	49	—	—	—	—	—	—
2016	21	A+	Lancaster JetHawks	—	90	76	23	4	0	1	11	17	1	4	2	303	398	395	792	92	373	19	12	355	88	—	—	—	—	—	—
2016	21	A	Quad Cities River Bandits	—	307	270	101	14	6	0	29	58	0	17	10	374	435	470	905	96	472	19	9	395	108	—	—	—	—	—	—
2017	22	AA	Corpus Christi Hooks	—	54	46	11	0	0	0	7	9	0	2	0	239	340	239	579		297	17	13	275	44	—	—	—	—	—	—
2017	22	A+	Buies Creek Astros	—	533	437	129	17	7	1	87	70	2	36	9	295	414	373	787	78	347	13	16	359	92	—	—	—	—	—	—
2018	23	AAA	Fresno Grizzlies	—	304	265	68	10	3	0	38	60	0	35	3	257	350	317	667	60	330	20	12	309	68	—	—	—	—	—	—
2018	23	AA	Corpus Christi Hooks	—	294	251	82	7	3	1	35	42	4	35	6	327	417	390	808	64	386	14	12	366	105	—	—	—	—	—	—
2019	24	MLB	Houston Astros	—	128	108	29	4	2	0	19	24	0	8	1	269	378	343	721	74	345	19	15	332	108	+1	+1	+3	+5	+3	1.3
2019	24	AAA	Round Rock Express	—	313	277	89	11	3	1	32	50	1	19	4	321	394	394	787	72	386	16	10	355	87	—	—	—	—	—	—
2020	25	MLB	Houston Astros	—	86	82	17	4	0	0	4	22	0	6	2	207	244	256	500	49	283	26	5	229	38	-6	+0	+1	+0	+2	-0.3
2021	26	MLB	Cleveland Indians	—	638	564	153	29	1	4	67	121	2	30	6	271	351	348	698	76	336	19	11	318	101	+1	+4	+6	+2	+14	2.7
2022	27	MLB	Cleveland Guardians	—	596	535	118	22	3	0	54	87	1	21	1	221	293	273	566	52	261	15	9	261	63	-26	+4	+11	+2	+13	0.4
2023	28	MLB	Cleveland Guardians	—	518	462	110	18	3	1	42	97	2	20	6	238	304	297	601	58	295	19	8	271	70	-18	+2	+2	+2	+11	-0.2
2024	29	AAA	Columbus Clippers	—	495	434	104	18	6	3	53	95	1	30	1	240	324	329	653	90	297	19	11	296	51	—	—	—	—	—	—
2025	30	MLB	Toronto Blue Jays	—	299	267	70	14	1	4	19	50	1	12	1	262	314	367	681	105	308	17	6	295	85	-5	+2	+7	+1	+6	1.1
2026	31	MLB	Toronto Blue Jays	—	330	295	71	19	1	3	27	44	1	7	2	241	307	342	649	102	271	13	8	289	81	-7	+1	-0	-4	+7	-0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2595	2313	568	110	11	12	232	445	7	104	19	246	316	318	634	73	297	17	9	287	80	-61	+13	+30	+9	+56	4.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	20	ROK MLE	Greeneville Astros	—	248	220	47	8	2	0	18	72	1	22	9	214	276	268	544	55	294	29	7	240	49	—	—	—	—	—	—
2016	21	A+ MLE	Lancaster JetHawks	—	90	79	21	3	0	1	8	24	1	4	2	266	341	342	683	76	354	27	9	298	88	—	—	—	—	—	—
2016	21	A MLE	Quad Cities River Bandits	—	307	281	91	10	6	0	18	80	0	17	10	324	365	402	767	78	429	26	6	328	108	—	—	—	—	—	—
2017	22	AA MLE	Corpus Christi Hooks	—	54	48	11	0	0	0	5	11	0	2	0	229	302	229	531		277	20	9	233	44	—	—	—	—	—	—
2017	22	A+ MLE	Buies Creek Astros	—	533	470	126	15	6	1	54	104	2	36	9	268	346	332	678	64	335	20	10	304	92	—	—	—	—	—	—
2018	23	AAA MLE	Fresno Grizzlies	—	304	275	65	9	2	0	28	79	0	35	3	236	307	284	591	47	329	26	9	268	68	—	—	—	—	—	—
2018	23	AA MLE	Corpus Christi Hooks	—	294	262	79	6	3	1	24	51	4	35	6	302	369	359	728	57	363	17	8	323	105	—	—	—	—	—	—
2019	24	MLB MLE	Houston Astros	—	128	108	29	4	2	0	19	24	0	8	1	269	378	343	721	74	345	19	15	328	108	+1	+1	+3	+5	+3	1.3
2019	24	AAA MLE	Round Rock Express	—	313	286	80	9	2	1	23	63	1	19	4	280	335	336	671	56	348	20	7	297	87	—	—	—	—	—	—
2020	25	MLB MLE	Houston Astros	—	86	82	17	4	0	0	4	22	0	6	2	207	244	256	500	49	283	26	5	225	38	-6	+0	+1	+0	+2	-0.3
2021	26	MLB MLE	Cleveland Indians	—	638	564	153	29	1	4	67	121	2	30	6	271	351	348	698	76	336	19	11	317	101	+1	+4	+6	+2	+14	2.7
2022	27	MLB MLE	Cleveland Guardians	—	596	535	119	22	4	0	54	87	1	21	1	222	295	279	573	56	261	15	9	262	63	-26	+4	+11	+2	+13	0.4
2023	28	MLB MLE	Cleveland Guardians	—	518	462	111	18	4	1	42	97	2	20	6	240	306	303	609	63	295	19	8	272	70	-18	+2	+2	+2	+11	-0.2
2024	29	AAA MLE	Columbus Clippers	—	495	454	95	15	6	2	33	121	1	30	1	209	264	282	546	73	274	24	7	244	51	—	—	—	—	—	—
2025	30	MLB MLE	Toronto Blue Jays	—	299	267	70	14	1	4	19	50	1	12	1	262	314	367	681	105	308	17	6	294	85	-5	+2	+7	+1	+6	1.1
2026	31	MLB MLE	Toronto Blue Jays	—	330	295	71	19	1	3	27	44	1	7	2	241	307	342	649	102	271	13	8	288	81	-7	+1	-0	-4	+7	-0.3
2015	20	ROK MLE	Greeneville Astros	—	248	220	47	8	2	0	18	72	1	22	9	214	276	268	544	55	311	29	7	240	49	—	—	—	—	—	—
2015	20	ROK RAW	Greeneville Astros	—	248	209	56	10	3	0	29	51	1	22	9	268	360	344	704	77	348	21	12	313	49	—	—	—	—	—	—
2016	21	A MLE	2 teams	—	397	360	112	13	6	1	26	104	1	21	12	311	359	389	748	78	430	26	7	321	104	—	—	—	—	—	—
2016	21	A RAW	2 teams	—	397	346	124	18	6	1	40	75	1	21	12	358	426	454	880	95	451	19	10	386	104	—	—	—	—	—	—
2017	22	A+ MLE	2 teams	—	587	518	137	15	6	1	59	115	2	38	9	264	342	322	664	58	336	20	10	297	87	—	—	—	—	—	—
2017	22	A+ RAW	2 teams	—	587	483	140	17	7	1	94	79	2	38	9	290	408	360	768	70	342	13	16	352	87	—	—	—	—	—	—
2018	23	AAA MLE	2 teams	—	598	538	145	15	6	1	51	130	4	70	9	270	337	325	663	56	351	22	9	295	86	—	—	—	—	—	—
2018	23	AAA RAW	2 teams	—	598	516	150	17	6	1	73	102	4	70	9	291	383	353	736	62	358	17	12	337	86	—	—	—	—	—	—
2019	24	AAA MLE	2 teams	—	441	394	109	13	4	1	42	87	1	27	5	277	348	338	685	61	351	20	10	306	93	—	—	—	—	—	—
2019	24	AAA RAW	2 teams	—	441	385	118	15	5	1	51	74	1	27	5	306	389	379	768	73	375	17	12	348	93	—	—	—	—	—	—
2020	25	MLB MLE	Houston Astros	—	86	82	17	4	0	0	4	22	0	6	2	207	244	256	500	49	283	26	5	225	38	-6	+0	+1	+0	+2	-0.3
2020	25	MLB RAW	Houston Astros	—	86	82	17	4	0	0	4	22	0	6	2	207	244	256	500	49	283	26	5	229	38	-6	+0	+1	+0	+2	-0.3
2021	26	MLB MLE	Cleveland Indians	—	638	564	153	29	1	4	67	121	2	30	6	271	351	348	698	76	336	19	11	317	101	+1	+4	+6	+2	+14	2.7
2021	26	MLB RAW	Cleveland Indians	—	638	564	153	29	1	4	67	121	2	30	6	271	351	348	698	76	336	19	11	318	101	+1	+4	+6	+2	+14	2.7
2022	27	MLB MLE	Cleveland Guardians	—	596	535	119	22	4	0	54	87	1	21	1	222	295	279	573	56	263	15	9	262	63	-26	+4	+11	+2	+13	0.4
2022	27	MLB RAW	Cleveland Guardians	—	596	535	118	22	3	0	54	87	1	21	1	221	293	273	566	52	261	15	9	261	63	-26	+4	+11	+2	+13	0.4
2023	28	MLB MLE	Cleveland Guardians	—	518	462	111	18	4	1	42	97	2	20	6	240	306	303	609	63	297	19	8	272	70	-18	+2	+2	+2	+11	-0.2
2023	28	MLB RAW	Cleveland Guardians	—	518	462	110	18	3	1	42	97	2	20	6	238	304	297	601	58	295	19	8	271	70	-18	+2	+2	+2	+11	-0.2
2024	29	AAA MLE	Columbus Clippers	—	495	454	95	15	6	2	33	121	1	30	1	209	264	282	546	73	278	24	7	244	51	—	—	—	—	—	—
2024	29	AAA RAW	Columbus Clippers	—	495	434	104	18	6	3	53	95	1	30	1	240	324	329	653	90	297	19	11	296	51	—	—	—	—	—	—
2025	30	MLB MLE	Toronto Blue Jays	—	299	267	70	14	1	4	19	50	1	12	1	262	314	367	681	105	308	17	6	294	85	-5	+2	+7	+1	+6	1.1
2025	30	MLB RAW	Toronto Blue Jays	—	299	267	70	14	1	4	19	50	1	12	1	262	314	367	681	105	308	17	6	295	85	-5	+2	+7	+1	+6	1.1
2026	31	MLB MLE	Toronto Blue Jays	—	330	295	71	19	1	3	27	44	1	7	2	241	307	342	649	102	271	13	8	288	81	-7	+1	-0	-4	+7	-0.3
2026	31	MLB RAW	Toronto Blue Jays	—	330	295	71	19	1	3	27	44	1	7	2	241	307	342	649	102	271	13	8	289	81	-7	+1	-0	-4	+7	-0.3
2015	20	ROK MLE	Greeneville Astros	—	248	227	47	8	2	0	18	72	1	22	9	207	276	260	536	53	294	29	7	240	49	—	—	—	—	—	—
2016	21	A MLE	2 teams	—	397	367	112	13	6	1	26	104	1	21	12	305	359	381	741	76	412	26	7	321	104	—	—	—	—	—	—
2017	22	A+ MLE	2 teams	—	587	521	137	15	6	1	59	115	2	38	9	263	342	321	663	58	330	20	10	297	87	—	—	—	—	—	—
2018	23	AAA MLE	2 teams	—	598	538	145	15	6	1	51	130	4	70	9	270	337	325	663	56	346	22	9	295	86	—	—	—	—	—	—
2019	24	AAA MLE	2 teams	—	441	395	109	13	4	1	42	87	1	27	5	276	348	337	685	61	347	20	10	306	93	—	—	—	—	—	—
2020	25	MLB MLE	Houston Astros	—	86	82	17	4	0	0	4	22	0	6	2	207	244	256	500	49	283	26	5	225	38	—	—	—	—	—	—
2021	26	MLB MLE	Cleveland Indians	—	638	564	153	29	1	4	67	121	2	30	6	271	351	348	698	76	336	19	11	317	101	—	—	—	—	—	—
2022	27	MLB MLE	Cleveland Guardians	—	596	536	119	22	4	0	54	87	1	21	1	222	295	278	573	56	261	15	9	262	63	—	—	—	—	—	—
2023	28	MLB MLE	Cleveland Guardians	—	518	469	111	18	4	1	42	97	2	20	6	237	306	299	605	62	295	19	8	272	70	—	—	—	—	—	—
2024	29	AAA MLE	Columbus Clippers	—	495	458	95	15	6	2	33	121	1	30	1	207	264	279	544	72	274	24	7	244	51	—	—	—	—	—	—
2025	30	MLB MLE	Toronto Blue Jays	—	299	277	70	14	1	4	19	50	1	12	1	253	314	354	667	101	308	17	6	294	85	—	—	—	—	—	—
2026	31	MLB MLE	Toronto Blue Jays	—	330	299	71	19	1	3	27	44	1	7	2	237	307	338	644	100	271	13	8	288	81	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	29	AAA MLE	Columbus Clippers	—	495	458	95	15	6	2	33	121	1	30	1	207	264	279	544	72	274	24	7	244	51	—	—	—	—	—	—
2025	30	MLB MLE	Toronto Blue Jays	—	299	277	70	14	1	4	19	50	1	12	1	253	314	354	667	101	308	17	6	294	85	—	—	—	—	—	—
2026	31	MLB MLE	Toronto Blue Jays	—	330	299	71	19	1	3	27	44	1	7	2	237	307	338	644	100	271	13	8	288	81	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	32	MLB MLE	TOR	100%	360	328	84	18	2	5	28	59	1	22	4	253	314	359	673	107	292	16	8	302	91	-4	+3	+0	-4	+8	0.8
▸ 2027 — real world (MLB)
2027	32	MLB CTX	TOR	100%	248	226	57	12	1	3	19	40	1	15	3	253	315	360	675	107	293	16	8	303	91	-3	+2	+0	-3	+5	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	33	MLB MLE	TOR	100%	219	199	49	10	1	3	17	37	1	9	2	245	305	342	647	97	286	17	8	292	83	-4	+1	-4	-2	+5	-0.5
2028	33	MLB CTX	TOR	100%	219	199	50	10	1	3	17	37	1	9	2	246	306	343	649	97	287	17	8	292	83	-4	+1	-4	-2	+5	-0.5
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2814	2512	618	120	12	15	249	482	8	113	21	246	316	321	637	75	296	17	9	287	80	-65	+14	+26	+6	+61	4.3
/ 162G	—	A+C		—	650	580	143	28	3	3	58	111	2	26	5	247	317	321	638	74	298	17	9	287	80	-15	+3	+6	+1	+14	1.0
Career	—	MLE		—	5700	5114	1292	207	43	24	478	1127	19	328	68	253	319	324	643	71	317	20	8	287	80	-68	+16	+26	+4	+66	4.5
/ 162G	—	MLE		—	650	583	148	24	5	3	55	129	2	37	8	254	320	328	648	74	319	20	8	287	80	-14	+3	+5	+1	+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.

2024 AAAColumbus Clippers · 495 PAwOBA .289 → .244 (−45)K% 19.2% → 24.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.19%	÷0.939	×1.200	—	—	24.53%
BB% (unintentional) /PA	10.30%	÷1.036	×0.690	—	×0.972	6.67%
HBP% /PA	0.20%	—	×0.940	—	×0.972	0.18%
Singles /BIP	22.71%	÷0.977	×0.930	×1.012	×0.972	21.26%
Doubles /BIP	5.31%	÷0.985	×0.830	×1.012	×0.972	4.40%
Triples /BIP	1.77%	÷0.900	×0.970	×1.012	×0.972	1.88%
Home runs /BIP	0.88%	÷1.060	×0.700	—	×0.972	0.57%

Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 95, 2B 97, 3B 80, K 88, BB 107 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.012.

Result: wOBA .289 → .244; ISO .090 → .077; BABIP .297 → .274. 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 AAARound Rock Express · 313 PAwOBA .348 → .297 (−51)K% 16.0% → 20.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.97%	÷1.022	×1.290	—	—	20.16%
BB% (unintentional) /PA	10.22%	÷1.030	×0.710	—	×1.033	7.28%
HBP% /PA	0.32%	—	×0.980	—	×1.033	0.32%
Singles /BIP	32.60%	÷0.966	×0.900	×0.961	×1.033	30.15%
Doubles /BIP	4.85%	÷0.995	×0.810	×0.961	×1.033	3.92%
Triples /BIP	1.32%	÷1.126	×0.810	×0.961	×1.033	0.94%
Home runs /BIP	0.44%	÷0.948	×0.780	—	×1.033	0.37%

Factors used: league row PCL. Park (home-season share, regressed): HR 90, 1B 93, 2B 99, 3B 125, K 104, BB 106 — 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 ×0.961.

Result: wOBA .348 → .297; ISO .072 → .057; BABIP .386 → .348. 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 AAAFresno Grizzlies · 304 PAwOBA .303 → .268 (−35)K% 19.7% → 25.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.74%	÷0.982	×1.290	—	—	25.92%
BB% (unintentional) /PA	12.50%	÷1.025	×0.710	—	×1.048	9.08%
HBP% /PA	0.00%	—	×0.980	—	×1.048	0.00%
Singles /BIP	26.83%	÷0.962	×0.900	×1.044	×1.048	27.47%
Doubles /BIP	4.88%	÷0.974	×0.810	×1.044	×1.048	4.44%
Triples /BIP	1.46%	÷1.150	×0.810	×1.044	×1.048	1.13%
Home runs /BIP	0.00%	÷0.951	×0.780	—	×1.048	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 90, 1B 92, 2B 95, 3B 130, K 96, BB 105 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.044.

Result: wOBA .303 → .268; ISO .060 → .050; BABIP .330 → .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).

2018 AACorpus Christi Hooks · 294 PAwOBA .359 → .323 (−37)K% 14.3% → 17.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷0.997	×1.220	—	—	17.48%
BB% (unintentional) /PA	11.90%	÷1.036	×0.700	—	×1.012	8.14%
HBP% /PA	1.36%	—	×0.870	—	×1.012	1.20%
Singles /BIP	33.97%	÷1.023	×0.920	×1.040	×1.012	32.16%
Doubles /BIP	3.35%	÷1.075	×0.840	×1.040	×1.012	2.75%
Triples /BIP	1.44%	÷0.900	×0.940	×1.040	×1.012	1.58%
Home runs /BIP	0.48%	÷1.059	×0.800	—	×1.012	0.37%

Factors used: league row TL. Park (home-season share, regressed): HR 112, 1B 105, 2B 115, 3B 80, K 99, BB 107 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.040.

Result: wOBA .359 → .323; ISO .064 → .060; BABIP .386 → .363. 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).

2017 A+Buies Creek Astros · 533 PAwOBA .352 → .304 (−48)K% 13.1% → 19.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.13%	÷0.954	×1.420	—	—	19.54%
BB% (unintentional) /PA	15.95%	÷0.981	×0.630	—	×0.998	10.22%
HBP% /PA	0.38%	—	×0.860	—	×0.998	0.32%
Singles /BIP	28.34%	÷0.999	×0.940	×1.050	×0.998	27.95%
Doubles /BIP	4.63%	÷0.990	×0.830	×1.050	×0.998	4.07%
Triples /BIP	1.91%	÷0.984	×0.800	×1.050	×0.998	1.62%
Home runs /BIP	0.27%	÷1.006	×0.900	—	×0.998	0.24%

Factors used: league row CAR. Park (home-season share, regressed): HR 101, 1B 100, 2B 98, 3B 97, K 91, BB 96 — 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 ×1.050.

Result: wOBA .352 → .304; ISO .078 → .069; BABIP .347 → .335. 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).

2017 AACorpus Christi Hooks · 54 PAwOBA .269 → .233 (−36)K% 16.7% → 20.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷0.980	×1.220	—	—	20.75%
BB% (unintentional) /PA	12.96%	÷1.056	×0.700	—	×1.027	8.83%
HBP% /PA	0.00%	—	×0.870	—	×1.027	0.00%
Singles /BIP	29.73%	÷1.014	×0.920	—	×1.027	27.69%
Doubles /BIP	0.00%	÷0.964	×0.840	—	×1.027	0.00%
Triples /BIP	0.00%	÷0.900	×0.940	—	×1.027	0.00%
Home runs /BIP	0.00%	÷1.035	×0.800	—	×1.027	0.00%

Factors used: league row TL. Park (home-season share, regressed): HR 107, 1B 103, 2B 93, 3B 80, K 96, BB 111 — 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).

Result: wOBA .269 → .233; ISO .000 → .000; BABIP .297 → .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).

2016 AQuad Cities River Bandits · 307 PAwOBA .386 → .328 (−58)K% 18.9% → 26.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.89%	÷0.982	×1.360	—	—	26.16%
BB% (unintentional) /PA	9.12%	÷1.044	×0.690	—	—	6.03%
HBP% /PA	0.00%	—	×0.780	—	—	0.00%
Singles /BIP	38.21%	÷1.022	×0.920	×1.042	—	35.85%
Doubles /BIP	6.60%	÷1.185	×0.830	×1.042	—	4.82%
Triples /BIP	2.83%	÷1.004	×0.910	×1.042	—	2.67%
Home runs /BIP	0.00%	÷0.911	×0.800	—	—	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 82, 1B 104, 2B 137, 3B 101, K 96, BB 109 — 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 ×1.042.

Result: wOBA .386 → .328; ISO .096 → .078; BABIP .472 → .429. 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).

2016 A+Lancaster JetHawks · 90 PAwOBA .350 → .298 (−51)K% 18.9% → 26.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.89%	÷0.962	×1.340	—	—	26.30%
BB% (unintentional) /PA	12.22%	÷1.046	×0.710	—	×1.012	8.40%
HBP% /PA	1.11%	—	×0.790	—	×1.012	0.89%
Singles /BIP	30.51%	÷0.982	×0.910	×1.050	×1.012	30.03%
Doubles /BIP	6.78%	÷1.070	×0.820	×1.050	×1.012	5.52%
Triples /BIP	0.00%	÷0.900	×0.760	×1.050	×1.012	0.00%
Home runs /BIP	1.69%	÷1.252	×0.920	—	×1.012	1.26%

Factors used: league row CAL. Park (home-season share, regressed): HR 150, 1B 96, 2B 114, 3B 80, K 92, BB 109 — 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 ×1.050.

Result: wOBA .350 → .298; ISO .092 → .071; BABIP .373 → .354. 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
#1Willie Harrislast yr '11 career totals — 10 seasons, 2,743 PA	4.1	2,743	39	106	241	331	351	-11	-2	5.3	6.2
/162	664	9	26	-2.7	-0.5	1.3	pk7: 7
#2Miguel Dilone'74-'85 * career totals — 8 seasons, 2,182 PA	3.3	2,182	6	265	260*	315*	355*	-20	+15	4.0	5.1
/162	664	2	81	-6.1	+4.7	1.2	pk7: 6
#3Sam Fuld'07-'15 * career totals — 6 seasons, 1,535 PA	2.3	1,535	12	67	230*	314*	336*	-10	+29	3.7	4.0
/162	664	5	29	-4.3	+12.7	1.6	pk7: 4
#4Mike Felder'85-'94 * career totals — 10 seasons, 2,497 PA	3.8	2,497	14	161	247*	300*	340*	-18	+17	0.9	2.8
/162	664	4	43	-4.9	+4.4	0.2	pk7: 5
#5Eric Young Jr.last yr '18 career totals — 9 seasons, 1,925 PA	2.9	1,925	13	161	245	312	332	-11	-8	1.2	1.6
/162	664	4	56	-3.9	-2.7	0.4	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	4.6	3,062	18	128	245	310	322	-33	+29	0.5	1.6
/162	664	4	28	-7.1	+6.4	0.1	pk7: 3
#6Eric Owens'95-'03 * career totals — 7 seasons, 2,576 PA	3.9	2,576	26	126	253*	303*	334*	-18	+1	-0.9	0.4
/162	664	7	32	-4.5	+0.2	-0.2	pk7: 2

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
Myles Straw (OGILVIE)	32	55	40	60	55	250/311/356	106	292	3	15	16%	8%	91	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Willie Bloomquist 2010 · MLB	32	55	38→40	59→60	50	260/313/341	81	304	6	29	16%	7%	86	+0.3	261/303/353	92	301	7	24	15%	6%	86	+0.3	293/322/363	70	348	1	7	15%	4%	94	+0.3
✕Justin Christian 2012 · MLB	32	51→54	43→45	62→65	48	245/296/359	115	273	9	33	14%	6%	85	+0.2	237/287/343	106	266	8	22	14%	6%	78	-0.3	231/281/333	102	259	7	17	14%	5%	71	-0.6
✕Wynton Bernard 2024 · MLB	33	49→59	43→45	60	45	240/290/359	119	294	10	32	22%	6%	82	+0.0	232/277/340	108	287	10	30	22%	5%	74	-0.6	225/254/312	87	273	7	44	20%	3%	54	-0.9
✕Gilberto Mejia 2014 · AAA	31	53→58	39→40	62→65	49	253/314/347	94	308	5	38	19%	8%	88	+0.5	252/302/344	92	306	5	39	18%	5%	83	+0.1	247/296/330	83	295	3	37	16%	5%	75	-0.3
✕Ryan Freel 2008 · MLB	32	54→59	42→45	57→65	54	259/337/372	113	302	8	34	16%	9%	103	+1.6	249/317/342	93	299	6	22	18%	8%	89	+0.5	256/322/307	51	316	0	24	17%	7%	82	+0.0
✕Jon Berti 2023 · MLB	33	50→60	42→45	62→60	55	237/326/347	110	304	8	39	23%	11%	94	+0.9	263/324/370	107	324	10	29	21%	8%	98	+1.2	276/329/367	91	337	9	30	20%	6%	100	+0.5
✕Brian L. Hunter 2002 · MLB	31	54	39→50	59→65	56	256/327/339	84	295	7	36	16%	10%	92	+0.7	250/311/371	121	298	9	16	18%	8%	93	+0.8	254/311/383	129	308	5	9	18%	7%	97	+0.3
✕Jason Bourgeois 2013 · MLB	31	52→58	38→45	57→65	49	247/292/326	80	271	6	33	12%	6%	75	-0.5	240/280/315	75	269	5	21	12%	5%	68	-1.0	241/275/316	76	274	5	14	14%	4%	64	-0.7
✕Tony Womack 2002 · MLB	32	55→63	40	62→60	47	262/301/361	99	286	6	33	11%	5%	86	+0.3	262/306/349	87	293	5	25	12%	5%	86	+0.3	268/313/347	78	300	4	25	12%	5%	88	+0.4
✕Andy Fox 2003 · MLB	32	50→52	41→40	58→60	52	238/317/335	97	285	8	28	19%	9%	88	+0.4	215/288/314	99	272	8	17	23%	8%	72	-0.7	193/267/257	64	262	0	5	24%	6%	52	-0.4
✕Esteban German 2011 · MLB	33	51→59	38→45	61→60	51	240/310/324	83	289	5	37	18%	8%	82	+0.0	240/304/331	91	279	6	33	15%	8%	82	-0.0	250/313/330	80	284	5	38	13%	8%	80	-0.1
✕Julio Lugo 2008 · MLB	32	53→62	43→45	56→60	53	256/317/377	121	283	10	29	14%	8%	97	+1.1	252/321/349	97	297	6	20	16%	9%	92	+0.7	257/330/328	71	313	3	18	17%	9%	91	+0.3
✕Mike McCoy 2012 · MLB	31	51→58	39→40	57→60	56	240/320/324	84	285	6	31	17%	10%	86	+0.3	214/291/288	74	262	6	27	19%	10%	68	-1.0	196/274/257	61	242	4	26	19%	9%	52	-1.4
✕Eugenio Velez 2014 · MLB	32	51→60	43→50	58→65	46	246/300/367	121	303	10	30	22%	7%	88	+0.5	251/296/349	98	308	7	29	20%	6%	82	+0.0	255/296/336	81	311	6	30	19%	5%	77	-0.2
✕Jarrod Dyson 2018 · MLB	33	53→57	41→45	65→70	51	253/318/360	107	286	7	43	14%	7%	93	+0.8	224/300/316	92	260	9	35	17%	9%	77	-0.3	207/287/286	79	248	7	40	18%	10%	66	-0.5
✕Cameron Maybin 2018 · MLB	31	52→60	45→50	57→55	54	252/327/377	125	300	12	30	20%	10%	101	+1.4	251/328/385	134	316	13	20	23%	10%	103	+1.6	255/333/386	131	328	12	16	24%	10%	106	+0.8
✕Greg Allen 2024 · MLB	31	48→57	43→45	64→65	46	227/323/344	117	300	10	43	26%	8%	94	+0.9	215/293/329	114	285	9	28	27%	6%	79	-0.2	202/278/307	105	272	7	27	27%	5%	66	-0.4
✕Craig Gentry 2015 · MLB	31	55	37→40	62→60	49	256/323/331	75	307	4	36	17%	7%	88	+0.5	218/277/292	74	274	6	25	21%	7%	63	-1.4	218/282/291	73	279	4	29	22%	7%	64	-0.4
●Scott Podsednik 2008 · MLB	32	54→64	39→45	57→65	52	256/319/353	97	301	4	35	16%	8%	92	+0.7	272/328/373	101	314	6	30	14%	7%	99	+1.3	289/340/382	93	329	6	34	13%	7%	107	+1.5
✕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

Myles Straw

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps