Edward Duran — OGILVIE

Edward DuranC Vancouver Canadians

Age 22 R/R 5'11" / 210 lbs A+ Svc 0.0 · Ctrl thru 2032

2026 ROS PROJECTION257 act + 9 ros · stats below = ROS only

showingROS

wRC+†53

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%22

BB%11

BABIP263

ISO82

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control-$2M ctrl surplus

Tools · ContractCON 42 / POW 35

Toolsscout grade

CONTACT42

scouting grade only

POWER35

scouting grade only

EYE45

scouting grade only

SPEED30

scouting grade only

DEFENSE57

scouting grade only

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

Status MiLB

MLB Debut 2027

Service 0 yrs (est)

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2027
2027	Pre-Arb	$0.8M	—	—	—
2028	Pre-Arb	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2029	Pre-Arb	$0.8M	+0.2	$0.6M	+$0.0M
2030	Arb-1	$2M	+0.3	$0.9M	+$0.0M (cut)
2031	Arb-2	$3M	+0.3	$0.8M	+$0.0M (cut)
2032	Arb-3	$4M	+0.3	$0.8M	+$0.0M (cut)
Totals		$0.8M		$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. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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)
2021	17	ROK	DSL Marlins	—	60	50	17	5	0	0	7	6	3	3	1	340	450	440	890	100	386	10	12	406	161	+4	+0	—	—	+1	0.6
2022	18	ROK	DSL Miami	—	169	147	33	10	1	0	19	26	3	3	1	224	325	306	632	82	273	15	11	295	86	-3	+0	—	—	+4	0.1
2023	19	A	Dunedin Blue Jays	—	93	77	23	4	0	1	13	13	1	1	0	299	407	390	796	91	338	14	14	358	129	+3	+0	—	—	+2	0.5
2023	19	ROK	FCL Blue Jays	—	61	50	17	3	0	1	11	7	0	0	1	340	459	460	919	120	381	11	18	416	168	+5	-0	—	—	+1	0.6
2024	20	A	Dunedin Blue Jays	—	327	278	68	15	2	0	39	50	6	15	3	245	350	313	663	68	293	15	12	307	94	-2	+2	—	—	+7	0.7
2025	21	A+	Vancouver Canadians	—	140	122	28	4	0	3	16	26	2	1	0	230	329	336	665	107	269	19	11	307	94	-1	+0	—	—	+3	0.2
2025	21	A	Dunedin Blue Jays	—	291	253	75	11	5	5	26	62	9	6	4	296	382	439	821	142	370	21	9	365	133	+11	-0	—	—	+6	1.8
2025	21	INTL	Glendale Desert Dogs	—	37	32	5	2	3	0	5	7	0	1	0	156	270	406	677	250	200	19	14	295	86	-1	+0	—	—	+1	0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Marlins	—	60	53	14	4	0	0	4	9	3	3	1	264	350	340	690	75	315	15	7	303	91	-1	+0	—	—	+1	0.1
2022	18	ROK MLE	DSL Miami	—	169	154	25	7	1	0	12	38	3	3	1	162	237	221	457	58	218	22	7	210	28	-14	+0	—	—	+4	-1.1
2023	19	A MLE	Dunedin Blue Jays	—	93	81	22	4	0	1	9	18	1	1	0	272	352	358	710	86	319	19	10	312	97	-0	+0	—	—	+2	0.2
2023	19	ROK MLE	FCL Blue Jays	—	61	54	14	2	0	1	7	10	0	0	1	259	344	352	696	93	312	16	11	311	97	-0	-0	—	—	+1	0.1
2024	20	A MLE	Dunedin Blue Jays	—	327	287	63	14	1	0	30	68	6	15	3	220	307	275	582	56	278	21	9	268	68	-13	+2	—	—	+7	-0.4
2025	21	A+ MLE	Vancouver Canadians	—	140	128	23	3	0	3	10	38	2	1	0	180	250	273	523	94	234	27	7	232	43	-9	+0	—	—	+3	-0.6
2025	21	A MLE	Dunedin Blue Jays	—	291	260	61	9	4	3	19	91	9	6	4	235	309	335	644	100	336	31	7	287	80	-7	-0	—	—	+6	-0.1
2021	17	ROK MLE	DSL Marlins	—	60	53	14	4	0	0	4	9	3	3	1	264	350	340	690	75	318	15	7	303	91	—	—	—	—	—	—
2021	17	ROK RAW	DSL Marlins	—	60	50	17	5	0	0	7	6	3	3	1	340	450	440	890	100	386	10	12	406	91	—	—	—	—	—	—
2022	18	ROK MLE	DSL Miami	—	169	154	25	7	1	0	12	38	3	3	1	162	237	221	457	58	216	22	7	210	28	—	—	—	—	—	—
2022	18	ROK RAW	DSL Miami	—	169	147	33	10	1	0	19	26	3	3	1	224	325	306	632	82	273	15	11	295	28	—	—	—	—	—	—
2023	19	A MLE	2 teams	—	154	135	36	6	0	1	16	28	1	1	1	267	349	333	682	67	324	18	10	312	97	—	—	—	—	—	—
2023	19	A RAW	2 teams	—	154	127	40	7	0	2	24	20	1	1	1	315	428	417	845	102	355	13	16	381	97	—	—	—	—	—	—
2024	20	A MLE	Dunedin Blue Jays	—	327	287	63	14	1	0	30	68	6	15	3	220	307	275	582	56	283	21	9	268	68	—	—	—	—	—	—
2024	20	A RAW	Dunedin Blue Jays	—	327	278	68	15	2	0	39	50	6	15	3	245	350	313	663	68	293	15	12	307	68	—	—	—	—	—	—
2025	21	A MLE	3 teams	—	468	423	90	13	4	6	31	140	11	8	4	213	284	305	589	92	300	30	7	269	68	—	—	—	—	—	—
2025	21	A RAW	3 teams	—	468	407	108	17	8	8	47	95	11	8	4	265	357	405	762	140	326	20	10	342	68	—	—	—	—	—	—
2021	17	ROK MLE	DSL Marlins	—	60	53	14	4	0	0	4	9	3	3	1	264	350	340	690	75	315	15	7	303	91	—	—	—	—	—	—
2022	18	ROK MLE	DSL Miami	—	169	152	25	7	1	0	12	38	3	3	1	164	237	224	460	59	218	22	7	210	28	—	—	—	—	—	—
2023	19	A MLE	2 teams	—	154	136	36	6	0	1	16	28	1	1	1	265	349	331	680	66	316	18	10	312	97	—	—	—	—	—	—
2024	20	A MLE	Dunedin Blue Jays	—	327	288	63	14	1	0	30	68	6	15	3	219	307	274	581	56	278	21	9	268	68	—	—	—	—	—	—
2025	21	A MLE	3 teams	—	468	423	90	13	4	6	31	140	11	8	4	213	284	305	589	92	303	30	7	269	68	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	A MLE	2 teams	—	154	136	36	6	0	1	16	28	1	1	1	265	349	331	680	66	316	18	10	312	97	—	—	—	—	—	—
2024	20	A MLE	Dunedin Blue Jays	—	327	288	63	14	1	0	30	68	6	15	3	219	307	274	581	56	278	21	9	268	68	—	—	—	—	—	—
2025	21	A MLE	3 teams	—	468	423	90	13	4	6	31	140	11	8	4	213	284	305	589	92	303	30	7	269	68	—	—	—	—	—	—
YTD	22	A+ MLE	TOR	—	257	239	45	7	2	2	10	71	5	4	1	188	236	259	496	71	254	28	4	216	33	-21	+0	+0	+5	+6	-1.0
▸ 2026 season
YTD	22	A RAW	TOR	—	25	21	5	1	0	0	4	6	0	2	0	238	360	286	646	48	333	24	16	308	33	—	—	—	—	—	—
YTD	22	A+ RAW	TOR	—	181	169	39	7	2	2	8	35	3	0	1	231	278	331	609	101	278	19	4	274	33	—	—	—	—	—	—
YTD	22	AA RAW	TOR	—	51	44	10	1	0	1	3	11	2	2	0	227	306	318	624	91	265	22	6	278	33	—	—	—	—	—	—
ROS	22	A+ MLE	TOR	0%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		262	22	11	246	53	-1	+0	+0	+0	+0	-0.0
TOT	22	A+ MLE	TOR	—	266	247	46	7	2	2	11	73	5	4	1	186	236	255	491	69	251	27	4	217	33	-21	+0	+0	+5	+6	-1.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	TOR	25%	465	424	88	15	3	7	30	115	8	6	2	208	273	307	579	99	264	25	6	261	63	-21	+0	+1	+8	+10	-0.1
2028	24	MLB MLE	TOR	36%	503	456	97	17	3	9	34	122	8	6	2	213	279	322	601	110	267	24	7	271	70	-18	+0	+1	+9	+11	0.3
2029	25	MLB MLE	TOR	43%	520	471	101	17	3	10	36	125	8	7	2	214	282	327	609	113	268	24	7	277	73	-16	+1	+1	+9	+11	0.6
2030	26	MLB MLE	TOR	47%	520	471	103	18	3	11	36	125	8	7	2	219	285	340	625	121	269	24	7	279	75	-15	+1	+1	+9	+11	0.7
2031	27	MLB MLE	TOR	48%	520	470	102	17	3	11	37	125	8	7	2	217	285	336	622	119	268	24	7	279	75	-15	+1	+1	+9	+11	0.7
2032	28	MLB MLE	TOR	48%	520	469	100	17	3	10	38	126	8	6	2	213	283	326	610	113	268	24	7	278	74	-16	+0	+0	+9	+11	0.5
2033	29	MLB MLE	TOR	48%	520	469	100	17	3	10	38	127	8	6	2	213	283	326	610	113	267	24	7	276	73	-17	+0	-1	+9	+11	0.4
2034	30	MLB MLE	TOR	47%	520	469	100	17	3	10	38	128	8	5	2	213	283	326	610	113	266	25	7	273	71	-18	+0	-1	+9	+11	0.2
2035	31	MLB MLE	TOR	47%	504	454	95	16	3	9	37	126	8	4	1	209	281	317	598	108	263	25	7	269	68	-19	+0	-2	+9	+11	-0.1
2027	23	MLB CTX	TOR	25%	117	107	23	4	1	2	7	29	2	1	0	215	276	327	603	112	265	25	6	249	63	-5	+0	+0	+2	+3	-0.0
2028	24	MLB CTX	TOR	36%	183	166	35	6	1	3	12	44	3	2	1	211	276	313	589	102	268	24	7	260	70	-7	+0	+0	+3	+4	0.1
2029	25	MLB CTX	TOR	43%	223	202	43	7	1	4	15	54	4	3	1	213	281	317	597	104	270	24	7	266	73	-7	+0	+0	+4	+5	0.2
2030	26	MLB CTX	TOR	47%	242	219	47	8	1	5	17	58	4	3	1	215	283	329	612	114	270	24	7	268	75	-7	+0	+0	+4	+5	0.3
2031	27	MLB CTX	TOR	48%	247	223	48	8	1	5	18	59	4	3	1	215	286	327	613	112	270	24	7	268	75	-7	+0	+0	+4	+5	0.3
2032	28	MLB CTX	TOR	48%	251	227	48	8	1	5	18	61	4	3	1	211	281	322	603	110	269	24	7	267	74	-8	+0	+0	+4	+5	0.3
2033	29	MLB CTX	TOR	48%	247	223	47	8	1	5	18	60	4	3	1	211	282	323	605	112	268	24	7	265	73	-8	+0	-0	+4	+5	0.2
2034	30	MLB CTX	TOR	47%	245	221	47	8	1	5	18	60	4	2	1	213	284	326	610	113	267	24	7	263	71	-8	+0	-1	+4	+5	0.1
2035	31	MLB CTX	TOR	47%	236	213	44	7	1	4	17	59	4	2	1	207	278	305	583	99	265	25	7	259	68	-9	+0	-1	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1991	1801	382	64	9	38	140	484	33	22	8	212	281	321	602	109	267	24	7	264	71	-66	+1	-1	+36	+43	1.3
/ 162G	—	A+C		—	650	588	124	21	3	12	46	158	11	7	3	211	281	318	599	107	266	24	7	264	71	-22	+0	-0	+12	+14	0.4
Career	—	MLE		—	5779	5213	1115	195	33	94	418	1404	96	84	27	214	284	318	602	104	272	24	7	273	71	-156	+4	-1	+82	+100	3.0
/ 162G	—	MLE		—	650	586	126	22	4	11	47	158	11	9	3	215	286	323	608	108	273	24	7	273	71	-22	+1	-0	+12	+14	0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#2Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#3Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#4Adeiny Hechavarríalast yr '20 career totals — 9 seasons, 3,288 PA	5.0	3,288	37	35	253	291	351	+32	+46	8.6	8.8
/162	664	7	7	+6.5	+9.3	1.7	pk7: 9
#5Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#6J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	3.0	1,992	38	23	214	280	327	+36	+12	2.5	2.4
/162	664	13	8	+11.9	+4.2	0.8	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
Edward Duran (OGILVIE)	22	30→42	30→35	30	45	196/260/273	77	262	3	5	26%	6%	53	-1.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Matt Kennelly 2011 · A	22	42	40	34→40	41	205/248/290	85	267	8	3	26%	5%	51	-2.2	218/273/297	79	278	5	4	22%	6%	62	-1.4	230/284/288	59	289	2	2	20%	6%	61	-0.7
✕Donny Sands 2018 · A	22	48	38→45	37→40	43	232/273/310	78	288	6	4	21%	5%	65	-1.2	208/255/289	81	288	5	4	28%	5%	53	-2.1	224/286/336	112	273	12	2	22%	8%	74	-0.3
✕Franklin Tineo 2016 · A	21	36	38→45	41→50	47	177/258/254	77	247	5	7	29%	9%	48	-2.5	190/264/281	91	260	7	10	28%	8%	56	-1.9	184/261/280	96	239	8	13	25%	8%	53	-0.7
✕Brett Cumberland 2017 · A	22	38→40	39→45	37→30	36	184/254/271	87	287	7	4	36%	5%	51	-2.3	195/292/322	127	297	13	2	36%	7%	78	-0.3	185/293/318	133	280	15	0	36%	8%	76	-0.2
✕Travis Harrison 2016 · AA	23	46→49	39→40	37→45	48	215/295/307	92	292	5	4	26%	8%	74	-0.6	191/275/275	84	282	5	9	31%	8%	59	-1.6	168/258/243	76	256	5	10	33%	9%	45	-1.9
✕Jhonatan Solano 2008 · A	22	44	37→40	40	47	210/269/276	65	259	4	4	20%	7%	56	-1.9	218/260/299	81	255	6	4	17%	5%	57	-1.8	234/268/324	90	260	9	2	14%	4%	64	-0.6
✕Christian Kelley 2017 · A	23	43	37→40	36→30	41	205/254/271	65	276	4	3	26%	5%	49	-2.4	200/261/277	77	274	7	2	28%	6%	54	-2.0	187/249/277	90	251	9	0	28%	6%	47	-1.1
✕David Rodríguez 2018 · A	22	40→43	37→40	40	41	195/252/266	71	266	5	3	28%	6%	47	-2.5	212/264/309	97	287	8	5	28%	6%	62	-1.4	199/257/313	114	270	13	4	30%	7%	58	-0.6
✕James Guerrero 2007 · A	23	43→46	39→40	39→45	53	204/284/288	84	238	6	6	17%	9%	65	-1.2	206/293/291	85	259	6	8	21%	10%	70	-0.9	196/294/272	75	250	5	8	22%	11%	64	-0.6
✕David Urias 2008 · AAA	23	44	39→40	37→45	38	212/246/291	79	267	7	6	23%	4%	50	-2.3	237/272/312	75	288	4	9	18%	4%	64	-1.3	285/312/357	72	333	5	6	15%	3%	86	+0.1
✕Radames Nazario 2010 · A	23	44	39→40	34→40	40	211/263/302	91	265	6	5	22%	4%	60	-1.6	215/269/301	86	291	5	5	26%	6%	62	-1.4	209/275/277	68	284	5	2	26%	7%	56	-0.9
✕Rafael Marchán 2021 · A	22	46	36→45	40	47	214/269/282	67	257	3	6	17%	6%	57	-1.8	205/266/280	75	243	4	4	17%	6%	56	-1.9	226/305/329	102	258	9	2	16%	8%	81	-0.0
✕Kyle Overstreet 2016 · A	22	40→46	37→40	42→30	45	191/256/261	70	267	4	4	28%	8%	48	-2.5	226/281/319	93	286	8	3	22%	7%	70	-0.8	229/273/318	89	279	9	1	21%	5%	64	-0.8
✕Ty Ross 2015 · A	23	43→41	40	36→30	43	209/260/300	91	265	8	3	24%	6%	58	-1.7	203/251/291	88	269	7	3	26%	6%	53	-2.1	191/238/270	79	253	6	0	26%	5%	41	-1.4
✕Dante Bichette Jr. 2015 · AA	22	44→47	42→45	39→40	43	214/273/316	102	291	9	2	29%	7%	67	-1.1	218/273/312	94	285	8	3	25%	7%	65	-1.2	237/296/327	90	294	7	3	21%	7%	75	-0.3
✕Brian Serven 2018 · A	23	43	37→50	40→30	44	203/260/282	79	255	4	6	21%	6%	55	-2.0	197/252/312	115	257	11	4	27%	5%	58	-1.7	217/296/335	118	314	12	1	32%	8%	79	-0.1
✕Simon Vasquez 2009 · A	21	45	35→40	40→50	49	210/285/271	61	269	2	4	22%	8%	61	-1.5	227/286/308	81	283	4	7	20%	6%	70	-0.9	253/299/341	88	301	2	9	16%	5%	81	-0.0
✕J.C. Rodriguez 2017 · A	21	41	38→40	39→45	46	197/267/285	89	249	4	5	22%	7%	58	-1.7	206/269/306	100	261	7	4	23%	7%	63	-1.3	187/256/282	95	228	8	0	21%	7%	51	-0.9
✕Anderson Hidalgo 2011 · A	22	50	41→45	36→50	44	241/293/345	103	306	7	5	23%	6%	81	-0.1	219/269/315	96	286	7	3	25%	6%	65	-1.2	208/258/298	90	270	7	1	25%	5%	54	-1.2
✕Corey Kemp 2009 · A	23	43→49	38→40	41→40	42	206/268/282	76	272	6	3	26%	6%	57	-1.8	223/287/308	85	296	5	4	24%	8%	70	-0.8	230/298/316	86	301	4	2	23%	8%	74	-0.4

Career Stats + Projections

Career Comps

Career Path Comps