Daz Cameron

RF Buffalo Bisons

Age 30 R/R 6'0" / 185 lbs AAA Svc 1.082 · Ctrl thru 2031

Overview

AAAPre-ArbFA 2032

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	27	AAAOAK	165	.307/.424/.577	6	8	115	—	.248/.339/.441
2024	27	MLBOakland Athle…	186	.200/.261/.329	5	5	68	-0.9
2025	28	AAAMIL	299	.282/.382/.576	18	18	97	—	.222/.301/.414
2025	28	MLBMIL	42	.195/.214/.293	1	1	39	-0.6
2026	29	AAATOR	131	.327/.415/.513	3	10	111	—	.280/.346/.424
2026	29	MLBTOR	25	.208/.208/.375	1	0	51	-0.3
2027PROJ10% MLB	30	MLBTOR	13	.234/.303/.396	0	1	95	0.0
2028PROJ27% MLB	31	MLBTOR	32	.229/.298/.385	1	1	91	-0.1

Last 3 seasons WAR -1.7 · Next 2 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2031Service1.082First FA2032

2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Ext$0.4M2030Ext$0.7M2031Ext$1M

Skills · percentileStatcast 2024-2026

Bat Spd89

Avg EV76

Barrel%51

Speed43

xwOBA27

CompsWeston Wilson (age 29) · Eli White (age 30) · Dylan Moore (age 29)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 10095vR 81

AVG/OBP/SLG.234 / .303 / .396

PA13

HR0

K%23

BB%8

BABIP289

ISO83

MLB%10%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus

Tools · Splits · ContractCON 40 / POW 50

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT40

xAVG

140.222

POWER50

Barrel%

518.4

Avg EV

7690.9

Bat Spd

8975.4

EYE55

scouting grade only

SPEED55

Sprint

4327.2

Platoon Splits2024-2025 · 218 PA

vs LHP

vs RHP

Edge

118

100

—

wRC+

101

◀◀L

wOBA

317

181

◀◀L

ISO

199

053

◀◀L

BABIP

300

203

◀◀L

30.5%

26.0%

▶R

BB%

8.5%

3.0%

◀◀L

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

Status Pre-Arb

MLB Debut 2020

Service 1.082 yrs.days

Team Control Through 2031

First FA Year 2032

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Pre-Arb	$0.8M	+0.0	$0.1M	+$0.0M (cut)
2028	Pre-Arb	$0.8M	—	—	—
2029	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.3M	+$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)
2015	18	ROK	Greeneville Astros	—	211	175	44	4	3	0	25	49	4	24	10	251	358	309	666	57	341	23	12	303	44	—	—	—	—	—	—
2016	19	A	Quad Cities River Bandits	—	87	77	11	2	2	0	8	33	0	4	3	143	224	221	444	78	244	38	9	204	-18	—	—	—	—	—	—
2017	20	A	West Michigan Whitecaps	—	522	454	123	29	8	14	48	112	12	32	13	271	356	463	819	192	325	21	9	358	78	—	—	—	—	—	—
2018	21	AAA	Toledo Mud Hens	—	62	57	12	4	1	0	2	15	1	2	2	211	250	316	566	105	279	24	3	245	31	—	—	—	—	—	—
2018	21	AA	Erie SeaWolves	—	226	200	57	12	5	5	25	53	1	12	5	285	367	470	837	185	366	23	11	371	101	—	—	—	—	—	—
2018	21	A+	Lakeland Flying Tigers	—	246	216	56	9	3	3	25	69	4	10	4	259	347	370	717	111	366	28	10	326	48	—	—	—	—	—	—
2018	21	INTL	Mesa Solar Sox	—	92	79	27	3	2	1	13	20	0	9	7	342	435	468	903	127	448	22	14	405	160	—	—	—	—	—	—
2019	22	AAA	Toledo Mud Hens	—	528	448	96	22	6	13	62	152	16	17	8	214	331	377	708	163	291	29	12	322	70	—	—	—	—	—	—
2019	22	INTL	Cangrejeros de Santurce	—	82	73	15	3	3	1	6	20	2	2	0	205	284	370	654	164	269	24	7	289	82	—	—	—	—	—	—
2020	23	MLB	Detroit Tigers	—	59	57	11	2	1	0	2	19	0	1	0	193	220	263	483	70	289	32	3	217	35	-5	+0	+1	-1	+1	-0.3
2021	24	MLB	Detroit Tigers	—	115	103	20	5	0	4	10	38	2	6	0	194	278	359	637	165	262	33	9	288	85	-2	+1	-2	-3	+2	-0.4
2021	24	AAA	Toledo Mud Hens	—	181	162	48	11	2	6	15	39	3	7	3	296	367	500	867	204	356	22	8	380	94	—	—	—	—	—	—
2022	25	MLB	Detroit Tigers	—	70	64	14	3	1	1	5	20	1	2	0	219	286	344	629	125	302	29	7	285	82	-2	+0	-2	-5	+2	-0.7
2022	25	AAA	Toledo Mud Hens	—	430	383	92	24	2	10	37	123	5	19	4	240	315	392	707	151	322	29	9	314	53	—	—	—	—	—	—
2023	26	AAA	Norfolk Tides	—	446	385	103	23	0	16	43	95	8	23	6	268	353	452	805	184	307	21	10	351	78	—	—	—	—	—	—
2024	27	MLB	Oakland Athletics	—	186	170	34	5	1	5	13	51	1	5	0	200	261	329	590	129	250	27	7	264	68	-7	+1	-3	-4	+4	-0.9
2024	27	AAA	Las Vegas Aviators	—	165	137	42	15	2	6	27	35	1	8	2	307	424	577	1.001	270	375	21	16	435	115	—	—	—	—	—	—
2025	28	MLB	Milwaukee Brewers	—	42	41	8	1	0	1	1	13	0	1	0	195	214	293	507	98	259	31	2	226	39	-3	+0	-0	-4	+1	-0.6
2025	28	AAA	Nashville Sounds	—	299	255	72	15	3	18	34	68	7	18	6	282	382	576	958	294	314	23	11	411	97	—	—	—	—	—	—
2026	29	MLB	Toronto Blue Jays	—	25	24	5	1	0	1	0	7	0	0	0	208	208	375	583	167	235	28	0	243	51	-1	+0	+0	-2	+1	-0.3
2026	29	AAA	Buffalo Bisons	—	131	113	37	8	2	3	17	28	0	10	2	327	415	513	929	186	410	21	13	407	111	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	497	459	92	17	3	12	31	148	4	15	0	200	257	329	586	129	265	30	6	263	64	-21	+3	-6	-18	+11	-3.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	18	ROK MLE	Greeneville Astros	—	211	185	37	3	2	0	15	70	4	24	10	200	275	238	512	38	294	33	7	233	44	—	—	—	—	—	—
2016	19	A MLE	Quad Cities River Bandits	—	87	80	7	1	1	0	5	46	0	4	3	87	141	125	266	38	214	53	6	142	-18	—	—	—	—	—	—
2017	20	A MLE	West Michigan Whitecaps	—	522	469	101	24	6	13	33	156	12	32	13	215	284	375	659	160	277	30	6	284	78	—	—	—	—	—	—
2018	21	AAA MLE	Toledo Mud Hens	—	62	58	11	3	1	0	1	18	1	2	2	190	217	276	493	86	252	29	2	214	31	—	—	—	—	—	—
2018	21	AA MLE	Erie SeaWolves	—	226	207	54	11	5	4	18	65	1	12	5	261	323	420	743	159	360	29	8	318	101	—	—	—	—	—	—
2018	21	A+ MLE	Lakeland Flying Tigers	—	246	224	43	7	2	2	17	99	4	10	4	192	261	268	529	76	331	40	7	239	48	—	—	—	—	—	—
2019	22	AAA MLE	Toledo Mud Hens	—	528	465	86	18	5	13	45	173	16	17	8	185	279	329	608	144	259	33	9	272	70	—	—	—	—	—	—
2020	23	MLB MLE	Detroit Tigers	—	59	57	11	2	1	0	2	19	0	1	0	193	220	263	483	70	289	32	3	220	35	-5	+0	+1	-1	+1	-0.3
2021	24	MLB MLE	Detroit Tigers	—	115	103	20	5	0	4	10	38	2	6	0	194	278	359	637	165	262	33	9	294	85	-2	+1	-2	-3	+2	-0.4
2021	24	AAA MLE	Toledo Mud Hens	—	181	167	42	9	2	4	10	47	3	7	3	251	306	401	707	150	319	26	6	307	94	—	—	—	—	—	—
2022	25	MLB MLE	Detroit Tigers	—	70	64	14	3	1	1	5	20	1	2	0	219	286	344	629	125	302	29	7	289	82	-2	+0	-2	-5	+2	-0.7
2022	25	AAA MLE	Toledo Mud Hens	—	430	392	77	19	2	7	28	147	5	19	4	196	259	309	567	112	278	34	7	247	53	—	—	—	—	—	—
2023	26	AAA MLE	Norfolk Tides	—	446	396	86	18	0	11	32	116	8	23	6	217	289	346	635	129	262	26	7	283	78	—	—	—	—	—	—
2024	27	MLB MLE	Oakland Athletics	—	186	170	34	5	1	5	13	51	1	5	0	200	261	329	590	129	250	27	7	269	68	-7	+1	-3	-4	+4	-0.9
2024	27	AAA MLE	Las Vegas Aviators	—	165	145	36	12	2	4	19	41	1	8	2	248	339	441	781	193	316	25	12	338	115	—	—	—	—	—	—
2025	28	MLB MLE	Milwaukee Brewers	—	42	41	8	1	0	1	1	13	0	1	0	195	214	293	507	98	259	31	2	226	39	-3	+0	-0	-4	+1	-0.6
2025	28	AAA MLE	Nashville Sounds	—	299	266	59	12	3	11	23	81	7	18	6	222	301	414	714	192	265	27	8	311	97	—	—	—	—	—	—
2026	29	MLB MLE	Toronto Blue Jays	—	25	24	5	1	0	1	0	7	0	0	0	208	208	375	583	167	235	28	0	243	51	-1	+0	+0	-2	+1	-0.3
2026	29	AAA MLE	Buffalo Bisons	—	131	118	33	7	2	2	12	34	0	10	2	280	346	424	770	144	366	26	9	332	111	—	—	—	—	—	—
2015	18	ROK MLE	Greeneville Astros	—	211	185	37	3	2	0	15	70	4	24	10	200	275	238	512	38	314	33	7	233	44	—	—	—	—	—	—
2015	18	ROK RAW	Greeneville Astros	—	211	175	44	4	3	0	25	49	4	24	10	251	358	309	666	57	341	23	12	303	44	—	—	—	—	—	—
2016	19	A MLE	Quad Cities River Bandits	—	87	80	7	1	1	0	5	46	0	4	3	87	141	125	266	38	200	53	6	142	-18	—	—	—	—	—	—
2016	19	A RAW	Quad Cities River Bandits	—	87	77	11	2	2	0	8	33	0	4	3	143	224	221	444	78	244	38	9	204	-18	—	—	—	—	—	—
2017	20	A MLE	West Michigan Whitecaps	—	522	469	101	24	6	13	33	156	12	32	13	215	284	375	659	160	287	30	6	284	78	—	—	—	—	—	—
2017	20	A RAW	West Michigan Whitecaps	—	522	454	123	29	8	14	48	112	12	32	13	271	356	463	819	192	325	21	9	358	78	—	—	—	—	—	—
2018	21	A+ MLE	4 teams	—	626	573	125	25	9	6	44	213	6	33	18	218	281	325	606	106	334	34	7	270	69	—	—	—	—	—	—
2018	21	A+ RAW	4 teams	—	626	552	152	28	11	9	65	157	6	33	18	275	358	415	773	139	369	25	10	346	69	—	—	—	—	—	—
2019	22	AAA MLE	2 teams	—	610	537	100	21	6	15	52	199	18	19	8	186	280	331	612	145	262	33	9	272	70	—	—	—	—	—	—
2019	22	AAA RAW	2 teams	—	610	521	111	25	9	14	68	172	18	19	8	213	325	376	701	163	288	28	11	317	70	—	—	—	—	—	—
2020	23	MLB MLE	Detroit Tigers	—	59	57	11	2	1	0	2	19	0	1	0	193	220	263	483	70	289	32	3	220	35	-5	+0	+1	-1	+1	-0.3
2020	23	MLB RAW	Detroit Tigers	—	59	57	11	2	1	0	2	19	0	1	0	193	220	263	483	70	289	32	3	217	35	-5	+0	+1	-1	+1	-0.3
2021	24	AAA MLE	2 teams	—	296	270	62	14	2	8	20	85	5	13	3	230	295	385	680	156	303	29	7	302	90	—	—	—	—	—	—
2021	24	AAA RAW	2 teams	—	296	265	68	16	2	10	25	77	5	13	3	257	332	445	777	189	324	26	8	344	90	—	—	—	—	—	—
2022	25	AAA MLE	2 teams	—	500	456	91	22	3	8	33	167	6	21	4	200	263	314	576	114	290	33	7	253	57	—	—	—	—	—	—
2022	25	AAA RAW	2 teams	—	500	447	106	27	3	11	42	143	6	21	4	237	311	385	696	148	319	29	8	310	57	—	—	—	—	—	—
2023	26	AAA MLE	Norfolk Tides	—	446	396	86	18	0	11	32	116	8	23	6	217	289	346	635	129	270	26	7	283	78	—	—	—	—	—	—
2023	26	AAA RAW	Norfolk Tides	—	446	385	103	23	0	16	43	95	8	23	6	268	353	452	805	184	307	21	10	351	78	—	—	—	—	—	—
2024	27	MLB MLE	2 teams	—	351	315	70	16	3	10	32	92	2	13	2	222	298	387	685	165	279	26	9	301	90	-4	+2	-3	-4	+8	-0.2
2024	27	MLB RAW	2 teams	—	351	307	76	20	3	11	40	86	2	13	2	248	338	440	778	192	307	25	11	344	90	-4	+2	-3	-4	+8	-0.2
2025	28	AAA MLE	2 teams	—	341	307	67	13	3	12	24	94	7	19	6	218	290	397	687	179	270	28	7	301	90	—	—	—	—	—	—
2025	28	AAA RAW	2 teams	—	341	296	80	16	3	19	35	81	7	19	6	270	361	537	898	267	307	24	10	389	90	—	—	—	—	—	—
2026	29	AAA MLE	2 teams	—	156	142	38	8	2	3	12	41	0	10	2	268	325	415	740	148	350	26	8	318	101	—	—	—	—	—	—
2026	29	AAA RAW	2 teams	—	156	137	42	9	2	4	17	35	0	10	2	307	383	489	872	182	380	22	11	381	101	—	—	—	—	—	—
2015	18	ROK MLE	Greeneville Astros	—	211	190	37	3	2	0	15	70	4	24	10	195	275	232	506	37	294	33	7	233	44	—	—	—	—	—	—
2016	19	A MLE	Quad Cities River Bandits	—	87	82	7	1	1	0	5	46	0	4	3	85	141	122	263	37	214	53	6	142	-18	—	—	—	—	—	—
2017	20	A MLE	West Michigan Whitecaps	—	522	472	101	24	6	13	33	156	12	32	13	214	284	373	657	159	277	30	6	284	78	—	—	—	—	—	—
2018	21	A+ MLE	4 teams	—	626	571	125	25	9	6	44	213	6	33	18	219	281	326	607	107	334	34	7	270	69	—	—	—	—	—	—
2019	22	AAA MLE	2 teams	—	610	535	100	21	6	15	52	199	18	19	8	187	280	333	613	146	259	33	9	272	70	—	—	—	—	—	—
2020	23	MLB MLE	Detroit Tigers	—	59	57	11	2	1	0	2	19	0	1	0	193	220	263	483	70	289	32	3	220	35	—	—	—	—	—	—
2021	24	AAA MLE	2 teams	—	296	269	62	14	2	8	20	85	5	13	3	230	295	387	682	156	297	29	7	302	90	—	—	—	—	—	—
2022	25	AAA MLE	2 teams	—	500	457	91	22	3	8	33	167	6	21	4	199	263	313	576	114	281	33	7	253	57	—	—	—	—	—	—
2023	26	AAA MLE	Norfolk Tides	—	446	403	86	18	0	11	32	116	8	23	6	213	289	340	629	127	262	26	7	283	78	—	—	—	—	—	—
2024	27	MLB MLE	2 teams	—	351	314	70	16	3	10	32	92	2	13	2	223	298	389	687	166	281	26	9	301	90	—	—	—	—	—	—
2025	28	AAA MLE	2 teams	—	341	307	67	13	3	12	24	94	7	19	6	218	290	397	687	179	264	28	7	301	90	—	—	—	—	—	—
2026	29	AAA MLE	2 teams	—	156	143	38	8	2	3	12	41	0	10	2	266	325	413	737	147	345	26	8	318	101	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	27	MLB MLE	2 teams	—	351	314	70	16	3	10	32	92	2	13	2	223	298	389	687	166	281	26	9	301	90	—	—	—	—	—	—
2025	28	AAA MLE	2 teams	—	341	307	67	13	3	12	24	94	7	19	6	218	290	397	687	179	264	28	7	301	90	—	—	—	—	—	—
2026	29	AAA MLE	2 teams	—	156	143	38	8	2	3	12	41	0	10	2	266	325	413	737	147	345	26	8	318	101	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	30	MLB MLE	TOR	10%	206	186	43	8	2	6	16	52	2	9	2	233	302	394	697	161	288	25	8	309	95	-1	+1	+0	-2	+4	0.2
▸ 2027 — real world (MLB)
2027	30	MLB CTX	TOR	10%	13	12	3	1	0	0	1	3	0	1	0	234	303	396	699	162	289	23	8	310	95	-0	+0	+0	-0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	31	MLB MLE	TOR	27%	118	107	24	5	1	3	9	30	1	4	1	228	297	383	681	155	284	25	8	303	91	-1	+0	-3	-1	+3	-0.2
2028	31	MLB CTX	TOR	27%	32	29	6	1	0	1	3	8	0	1	0	229	298	385	683	156	285	25	9	304	91	-0	+0	-1	-0	+1	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	529	488	98	18	3	13	34	156	4	16	0	201	259	330	588	129	264	29	6	265	74	-22	+3	-7	-19	+11	-3.3
/ 162G	—	A+C		—	650	600	121	22	4	16	42	192	5	20	0	202	260	332	592	130	265	30	6	265	74	-27	+4	-9	-23	+14	-4.1
Career	—	MLE		—	4451	4010	846	177	40	93	323	1360	70	221	77	211	281	345	626	134	290	31	7	277	74	-23	+4	-9	-21	+16	-3.3
/ 162G	—	MLE		—	650	586	124	26	6	14	47	199	10	32	11	212	281	348	630	137	290	31	7	277	74	-20	+3	-8	-18	+14	-2.9

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 AAABuffalo Bisons · 131 PAwOBA .400 → .332 (−67)K% 21.4% → 25.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.37%	÷1.000	×1.200	—	—	25.65%
BB% (unintentional) /PA	12.98%	÷1.000	×0.690	—	×0.982	8.79%
HBP% /PA	0.00%	—	×0.940	—	×0.982	0.00%
Singles /BIP	28.24%	÷1.000	×0.930	×1.013	×0.982	26.11%
Doubles /BIP	9.41%	÷1.000	×0.830	×1.013	×0.982	7.77%
Triples /BIP	2.35%	÷1.000	×0.970	×1.013	×0.982	2.27%
Home runs /BIP	3.53%	÷1.000	×0.700	—	×0.982	2.43%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.

Result: wOBA .400 → .332; ISO .186 → .149; BABIP .410 → .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).

2025 AAANashville Sounds · 299 PAwOBA .404 → .311 (−93)K% 22.7% → 27.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.74%	÷1.010	×1.200	—	—	27.01%
BB% (unintentional) /PA	11.37%	÷1.000	×0.690	—	×0.992	7.78%
HBP% /PA	2.34%	—	×0.940	—	×0.992	2.18%
Singles /BIP	19.25%	÷0.983	×0.930	×0.954	×0.992	17.25%
Doubles /BIP	8.02%	÷0.973	×0.830	×0.954	×0.992	6.48%
Triples /BIP	1.60%	÷0.900	×0.970	×0.954	×0.992	1.64%
Home runs /BIP	9.63%	÷1.111	×0.700	—	×0.992	6.01%

Factors used: league row International League. Park (home-season share, regressed): HR 122, 1B 97, 2B 95, 3B 80, K 102, BB 100 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.954.

Result: wOBA .404 → .311; ISO .294 → .205; BABIP .314 → .265. 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 AAALas Vegas Aviators · 165 PAwOBA .422 → .338 (−84)K% 21.2% → 24.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.21%	÷1.022	×1.200	—	—	24.91%
BB% (unintentional) /PA	15.76%	÷0.952	×0.690	—	×1.003	11.45%
HBP% /PA	0.61%	—	×0.940	—	×1.003	0.57%
Singles /BIP	18.63%	÷0.974	×0.930	×0.984	×1.003	17.56%
Doubles /BIP	14.71%	÷1.088	×0.830	×0.984	×1.003	11.08%
Triples /BIP	1.96%	÷1.150	×0.970	×0.984	×1.003	1.63%
Home runs /BIP	5.88%	÷1.001	×0.700	—	×1.003	4.13%

Factors used: league row International League. Park (home-season share, regressed): HR 100, 1B 95, 2B 118, 3B 130, K 104, BB 90 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.984.

Result: wOBA .422 → .338; ISO .270 → .203; BABIP .375 → .316. 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 AAANorfolk Tides · 446 PAwOBA .349 → .283 (−66)K% 21.3% → 26.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.30%	÷0.980	×1.200	—	—	26.08%
BB% (unintentional) /PA	9.64%	÷0.948	×0.690	—	×1.018	7.14%
HBP% /PA	1.79%	—	×0.940	—	×1.018	1.72%
Singles /BIP	22.07%	÷1.019	×0.930	×0.960	×1.018	19.69%
Doubles /BIP	7.93%	÷1.015	×0.830	×0.960	×1.018	6.34%
Triples /BIP	0.00%	÷0.900	×0.970	×0.960	×1.018	0.00%
Home runs /BIP	5.52%	÷0.995	×0.700	—	×1.018	3.95%

Factors used: league row International League. Park (home-season share, regressed): HR 99, 1B 104, 2B 103, 3B 80, K 96, BB 90 — 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 ×0.960.

Result: wOBA .349 → .283; ISO .184 → .137; BABIP .307 → .262. 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 AAAToledo Mud Hens · 430 PAwOBA .309 → .247 (−62)K% 28.6% → 34.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.60%	÷1.008	×1.200	—	—	34.06%
BB% (unintentional) /PA	8.60%	÷0.964	×0.690	—	×1.033	6.36%
HBP% /PA	1.16%	—	×0.940	—	×1.033	1.13%
Singles /BIP	21.54%	÷1.015	×0.930	×0.957	×1.033	19.51%
Doubles /BIP	9.23%	÷1.015	×0.830	×0.957	×1.033	7.47%
Triples /BIP	0.77%	÷1.150	×0.970	×0.957	×1.033	0.64%
Home runs /BIP	3.85%	÷1.026	×0.700	—	×1.033	2.71%

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 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 ×0.957.

Result: wOBA .309 → .247; ISO .151 → .111; BABIP .322 → .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 AAAToledo Mud Hens · 181 PAwOBA .372 → .307 (−65)K% 21.5% → 25.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.55%	÷1.000	×1.200	—	—	25.86%
BB% (unintentional) /PA	8.29%	÷1.038	×0.690	—	×1.048	5.77%
HBP% /PA	1.66%	—	×0.940	—	×1.048	1.63%
Singles /BIP	23.58%	÷0.991	×0.930	×0.959	×1.048	22.23%
Doubles /BIP	8.94%	÷1.013	×0.830	×0.959	×1.048	7.36%
Triples /BIP	1.63%	÷0.981	×0.920	×0.959	×1.048	1.53%
Home runs /BIP	4.88%	÷1.052	×0.700	—	×1.048	3.40%

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 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 ×0.959.

Result: wOBA .372 → .307; ISO .204 → .154; BABIP .356 → .319. 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 AAAToledo Mud Hens · 528 PAwOBA .315 → .272 (−43)K% 28.8% → 32.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.79%	÷1.056	×1.200	—	—	32.73%
BB% (unintentional) /PA	11.74%	÷1.004	×0.690	—	×1.050	8.47%
HBP% /PA	3.03%	—	×0.940	—	×1.050	2.99%
Singles /BIP	18.58%	÷1.013	×0.930	×0.950	×1.050	17.02%
Doubles /BIP	7.43%	÷0.995	×0.830	×0.950	×1.050	6.18%
Triples /BIP	2.03%	÷1.096	×0.970	×0.950	×1.050	1.79%
Home runs /BIP	4.39%	÷0.888	×0.840	—	×1.050	4.36%

Factors used: league row IL. Park (home-season share, regressed): HR 78, 1B 103, 2B 99, 3B 119, K 111, BB 101 — 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 ×0.950.

Result: wOBA .315 → .272; ISO .163 → .150; BABIP .291 → .259. 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 A+Lakeland Flying Tigers · 246 PAwOBA .319 → .239 (−80)K% 28.0% → 40.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.05%	÷0.987	×1.420	—	—	40.36%
BB% (unintentional) /PA	10.16%	÷1.097	×0.750	—	×1.027	7.14%
HBP% /PA	1.63%	—	×0.930	—	×1.027	1.55%
Singles /BIP	27.89%	÷0.974	×0.920	×0.950	×1.027	25.71%
Doubles /BIP	6.12%	÷0.995	×0.960	×0.950	×1.027	5.76%
Triples /BIP	2.04%	÷1.150	×0.810	×0.950	×1.027	1.40%
Home runs /BIP	2.04%	÷1.277	×0.880	—	×1.027	1.44%

Factors used: league row FSL. Park (home-season share, regressed): HR 155, 1B 95, 2B 99, 3B 130, K 97, BB 119 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .319 → .239; ISO .111 → .075; BABIP .366 → .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).

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
#1Chris Heiseylast yr '17 career totals — 8 seasons, 1,758 PA	2.6	1,758	62	25	238	296	413	-18	+3	3.0	3.2
/162	664	23	9	-6.7	+1.0	1.1	pk7: 4
#2John Mayberry Jr.last yr '15 career totals — 6 seasons, 1,506 PA	2.3	1,506	54	15	234	298	417	-6	-18	1.7	1.7
/162	664	24	7	-2.8	-8.1	0.8	pk7: 2
#3Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#4Dave McCarty'93-'05 * career totals — 9 seasons, 1,647 PA	2.5	1,647	36	9	233*	295*	365*	-26	+16	-1.1	0.5
/162	664	15	4	-10.5	+6.6	-0.4	pk7: 2
#5Jimmy Stewart'63-'73 * career totals — 8 seasons, 1,602 PA	2.4	1,602	8	38	235*	309*	329*	-1	+2	-0.2	0.5
/162	664	3	16	-0.4	+0.7	-0.1	pk7: 1
#6Jolbert Cabrera'98-'08 * career totals — 6 seasons, 1,531 PA	2.3	1,531	18	38	247*	295*	354*	-3	-9	-1.1	-0.7
/162	664	8	16	-1.4	-4.0	-0.5	pk7: -0
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	0.7	475	11	16	205	266	338	-5	-7	-0.7	-0.7
/162	664	16	22	-7.1	-9.6	-1.0	pk7: -1

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
Daz Cameron (OGILVIE)	30	40	50	55	55	231/300/391	160	288	4	5	25%	8%	95	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Weston Wilson 2024 · MLB	29	39→42	50→55	55	44	207/276/355	148	279	19	24	32%	8%	78	-0.3	213/286/366	153	280	19	21	30%	9%	84	+0.1	207/282/354	147	267	19	21	29%	9%	79	-0.1
✕Eli White 2024 · MLB	30	43→53	47→50	58→60	46	214/292/345	131	302	16	27	33%	9%	81	-0.1	236/294/374	138	309	16	26	28%	7%	88	+0.5	239/292/380	141	304	16	27	26%	6%	88	+0.2
✕Dylan Moore 2022 · MLB	29	40→49	53→55	55→65	49	212/303/387	175	269	21	29	29%	10%	96	+1.0	217/323/387	170	291	18	33	30%	11%	103	+1.6	207/326/378	171	283	16	41	30%	12%	103	+0.8
✕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
✕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
✕Michael A. Taylor 2021 · MLB	30	43→53	49→55	53→60	41	217/272/370	153	294	16	19	31%	7%	79	-0.2	240/296/378	138	312	17	13	27%	7%	90	+0.6	240/297/382	142	309	19	14	28%	7%	92	+0.6
✕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
✕Tyler Neslony 2024 · AAA	30	46→48	47→55	52→55	45	227/287/365	138	297	14	20	28%	8%	84	+0.1	215/267/320	105	287	9	17	27%	6%	65	-1.2	194/223/245	51	259	0	16	24%	3%	29	-0.9
✕Hiram Bocachica 2007 · MLB	31	48	53→55	54→55	49	247/321/422	174	290	21	21	23%	8%	109	+2.0	235/318/397	162	267	19	19	19%	9%	103	+1.6	203/292/360	156	229	17	21	20%	9%	84	+0.1
✕Adam Engel 2022 · MLB	30	47→48	51→50	55→60	42	238/301/405	167	296	19	20	26%	6%	99	+1.2	216/280/342	126	303	12	24	31%	7%	76	-0.4	198/264/306	108	292	9	29	33%	7%	60	-0.8
✕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
✕Dewayne Wise 2009 · MLB	31	48→40	52→60	59→55	42	244/292/424	180	286	19	25	22%	5%	99	+1.3	237/278/395	158	286	14	20	22%	4%	87	+0.4	238/273/396	158	291	16	27	24%	4%	84	+0.1
✕Matt Carson 2011 · MLB	30	43→50	54→60	54→50	41	231/278/411	180	274	22	18	25%	5%	91	+0.7	231/277/392	161	290	19	13	27%	5%	86	+0.3	226/272/371	145	288	16	11	27%	5%	76	-0.3
✕Jimmy Herron 2024 · AAA	28	47→48	47→45	57→55	49	232/309/370	138	287	14	24	24%	9%	93	+0.8	222/285/331	109	273	11	23	22%	7%	75	-0.5	211/271/300	89	255	10	25	21%	6%	60	-0.9
✕George Lombard 2006 · MLB	30	44→43	50	56→55	42	221/287/380	159	307	17	19	32%	7%	87	+0.4	221/289/364	143	306	16	25	31%	8%	84	+0.2	213/287/342	129	286	16	37	30%	8%	76	-0.1
✕Justin Maxwell 2014 · MLB	30	44→45	56→60	52→60	45	231/302/425	195	307	23	15	32%	8%	103	+1.6	211/275/344	133	302	15	9	33%	7%	74	-0.5	193/255/298	105	279	13	6	34%	6%	56	-0.8
✕Corey Julks 2024 · MLB	28	46→50	49→50	54→55	46	234/295/386	152	289	17	21	25%	7%	92	+0.7	229/289/353	124	290	13	18	25%	7%	82	-0.0	222/281/337	115	280	13	16	25%	7%	73	-0.5
✕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
✕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
✕Niko Goodrum 2022 · MLB	30	45→52	48→55	53→55	46	220/295/366	145	309	16	19	32%	9%	87	+0.4	221/311/344	123	316	13	15	31%	11%	88	+0.4	219/316/327	108	312	11	14	30%	12%	83	+0.0

Daz Cameron

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps