Logan Wagner — OGILVIE

Logan Wagner3B Great Lakes Loons

Age 22 S/R 6'1" / 200 lbs A+ HR +8%BB -8% Svc 0.0 · Ctrl thru 2033

2026 ROS PROJECTION395 act + 10 ros · stats below = ROS only

showingROS

wRC+†68

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%40

BB%10

BABIP251

ISO143

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control-$4M ctrl surplus

Tools · ContractCON 30 / POW 55

Toolsscout grade

CONTACT30

scouting grade only

POWER55

scouting grade only

EYE60

scouting grade only

SPEED40

scouting grade only

DEFENSE40

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
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	—	—	—
2029	Pre-Arb	$0.8M	—	—	—
2030	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2031	Arb-1	$1M	+0.1	$0.3M	+$0.0M (cut)
2032	Arb-2	$1M	—	—	—
2033	Arb-3	$1.0M	—	—	—
Totals		$0.0M		$-0.0M	+$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.

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 Dodgers	—	58	50	11	1	0	0	7	12	1	2	1	220	328	240	568	20	289	21	12	275	72	-2	+0	—	—	+1	-0.1
2023	19	ROK	ACL Dodgers	—	15	11	1	0	0	0	4	5	0	0	0	91	333	91	424		167	33	27	246	53	-1	+0	—	—	+0	-0.1
2024	20	A	Rancho Cucamonga Quakes	—	164	126	31	8	2	6	27	41	8	4	0	246	407	484	892	238	309	25	16	392	151	+10	+1	—	—	+4	1.5
2025	21	A+	Great Lakes Loons	—	533	440	95	23	2	15	78	140	11	18	3	216	348	380	727	164	277	26	15	331	110	+6	+2	—	—	+12	2.1
2025	21	INTL	Glendale Desert Dogs	—	68	55	12	2	1	2	12	17	0	2	0	218	358	400	758	182	270	25	18	339	116	+1	+0	—	—	+1	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	18	ROK MLE	ACL Dodgers	—	58	53	9	1	0	0	4	17	1	2	1	170	241	189	430	19	230	29	7	188	13	-6	+0	—	—	+1	-0.5
2023	19	ROK MLE	ACL Dodgers	—	15	12	1	0	0	0	3	7	0	0	0	83	267	83	350		142	47	20	159	-6	-2	+0	—	—	+0	-0.2
2024	20	A MLE	Rancho Cucamonga Quakes	—	164	134	24	6	1	5	20	57	8	4	0	179	321	351	672	172	247	35	12	299	88	-2	+1	—	—	+4	0.2
2025	21	A+ MLE	Great Lakes Loons	—	533	464	76	18	1	12	54	193	11	18	3	164	267	284	551	121	240	36	10	249	55	-29	+2	—	—	+12	-1.5
2022	18	ROK MLE	ACL Dodgers	—	58	53	9	1	0	0	4	17	1	2	1	170	241	189	430	19	250	29	7	188	13	—	—	—	—	—	—
2022	18	ROK RAW	ACL Dodgers	—	58	50	11	1	0	0	7	12	1	2	1	220	328	240	568	20	289	21	12	275	13	—	—	—	—	—	—
2023	19	ROK MLE	ACL Dodgers	—	15	12	1	0	0	0	3	7	0	0	0	83	267	83	350		200	47	20	159	-6	—	—	—	—	—	—
2023	19	ROK RAW	ACL Dodgers	—	15	11	1	0	0	0	4	5	0	0	0	91	333	91	424		167	33	27	246	-6	—	—	—	—	—	—
2024	20	A MLE	Rancho Cucamonga Quakes	—	164	134	24	6	1	5	20	57	8	4	0	179	321	351	672	172	257	35	12	299	88	—	—	—	—	—	—
2024	20	A RAW	Rancho Cucamonga Quakes	—	164	126	31	8	2	6	27	41	8	4	0	246	407	484	892	238	309	25	16	392	88	—	—	—	—	—	—
2025	21	A+ MLE	2 teams	—	601	524	86	21	1	13	61	218	11	20	3	164	265	282	548	118	245	36	10	249	55	—	—	—	—	—	—
2025	21	A+ RAW	2 teams	—	601	495	107	25	3	17	90	157	11	20	3	216	349	382	731	166	276	26	15	332	55	—	—	—	—	—	—
2022	18	ROK MLE	ACL Dodgers	—	58	53	9	1	0	0	4	17	1	2	1	170	241	189	430	19	230	29	7	188	13	—	—	—	—	—	—
2023	19	ROK MLE	ACL Dodgers	—	15	12	1	0	0	0	3	7	0	0	0	83	267	83	350		142	47	20	159	-6	—	—	—	—	—	—
2024	20	A MLE	Rancho Cucamonga Quakes	—	164	135	24	6	1	5	20	57	8	4	0	178	321	348	669	170	247	35	12	299	88	—	—	—	—	—	—
2025	21	A+ MLE	2 teams	—	601	524	86	21	1	13	61	218	11	20	3	164	265	282	548	118	240	36	10	249	55	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	ACL Dodgers	—	15	12	1	0	0	0	3	7	0	0	0	83	267	83	350		142	47	20	159	-6	—	—	—	—	—	—
2024	20	A MLE	Rancho Cucamonga Quakes	—	164	135	24	6	1	5	20	57	8	4	0	178	321	348	669	170	247	35	12	299	88	—	—	—	—	—	—
2025	21	A+ MLE	2 teams	—	601	524	86	21	1	13	61	218	11	20	3	164	265	282	548	118	240	36	10	249	55	—	—	—	—	—	—
YTD	22	A+ MLE	LAD	—	395	363	65	18	0	16	27	151	2	6	2	179	240	361	601	182	246	38	7	262	63	-17	+0	+0	+1	+9	-0.7
▸ 2026 season
YTD	22	ROK RAW	LAD	—	15	14	7	2	0	0	1	3	0	1	0	500	533	643	1.176	143	636	20	7	519	63	—	—	—	—	—	—
YTD	22	A+ RAW	LAD	—	254	231	60	19	0	16	18	71	1	4	2	260	315	550	865	290	299	28	7	369	63	—	—	—	—	—	—
YTD	22	AA RAW	LAD	—	126	105	19	4	0	6	20	42	1	1	0	181	317	390	708	210	228	33	16	321	63	—	—	—	—	—	—
ROS	22	A+ MLE	LAD	0%	10	9	1	0	0	0	1	4	0	0	0	111	200	111	311		254	40	10	268	68	-0	+0	-0	+0	+0	-0.0
TOT	22	A+ MLE	LAD	—	405	372	66	18	0	16	28	155	2	6	2	177	239	355	594	177	245	38	7	262	63	-18	+0	-0	+1	+9	-0.7
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	LAD	35%	494	444	85	21	1	18	42	171	5	7	2	191	269	365	634	173	259	35	9	281	76	-14	+1	-4	+2	+11	-0.5
2028	24	MLB MLE	LAD	46%	530	473	93	22	1	19	46	177	6	7	2	197	276	368	644	171	263	33	9	289	82	-12	+1	-4	+2	+11	-0.2
2029	25	MLB MLE	LAD	52%	551	492	98	23	1	20	48	180	6	7	2	199	278	372	650	173	265	33	9	293	84	-10	+1	-4	+2	+12	0.0
2030	26	MLB MLE	LAD	54%	561	501	101	24	1	21	49	182	6	8	2	202	281	379	660	178	266	32	9	295	86	-10	+1	-4	+2	+12	0.1
2031	27	MLB MLE	LAD	54%	563	502	101	24	1	21	50	183	6	8	2	201	281	378	660	177	266	33	9	295	86	-9	+1	-4	+2	+12	0.1
2032	28	MLB MLE	LAD	54%	559	498	100	23	1	21	50	182	6	7	2	201	282	378	659	177	265	33	9	294	85	-10	+1	-5	+2	+12	0.0
2033	29	MLB MLE	LAD	53%	550	489	98	23	1	20	50	180	6	7	2	200	283	374	657	174	264	33	9	293	84	-10	+1	-6	+2	+12	-0.1
2034	30	MLB MLE	LAD	52%	540	480	94	22	1	19	49	178	6	6	2	196	279	365	643	169	263	33	9	290	82	-11	+0	-6	+2	+12	-0.4
2035	31	MLB MLE	LAD	52%	526	467	91	21	1	19	48	175	6	6	1	195	278	366	644	171	261	33	9	286	80	-13	+1	-7	+2	+11	-0.5
2036	32	MLB MLE	LAD	52%	508	452	86	20	1	17	46	171	5	5	1	190	272	352	624	162	257	34	9	281	76	-14	+1	-7	+2	+11	-0.8
2027	23	MLB CTX	LAD	35%	171	152	28	7	0	6	15	59	2	2	1	184	266	349	615	164	256	35	9	274	76	-5	+0	-1	+1	+4	-0.2
2028	24	MLB CTX	LAD	46%	245	219	43	10	1	9	21	82	3	3	1	196	276	374	650	178	260	33	9	281	82	-5	+0	-2	+1	+5	-0.1
2029	25	MLB CTX	LAD	52%	285	255	52	12	1	11	25	93	3	4	1	204	283	388	671	184	261	33	9	285	84	-5	+0	-2	+1	+6	0.0
2030	26	MLB CTX	LAD	54%	304	271	56	13	1	12	27	98	3	4	1	207	286	395	681	188	262	32	9	287	86	-5	+0	-2	+1	+7	0.1
2031	27	MLB CTX	LAD	54%	305	272	56	13	1	12	27	99	3	4	1	206	285	393	678	188	262	32	9	288	86	-5	+0	-2	+1	+7	0.1
2032	28	MLB CTX	LAD	54%	303	270	54	12	1	12	27	99	3	4	1	200	280	385	665	185	262	33	9	287	85	-5	+0	-3	+1	+7	0.0
2033	29	MLB CTX	LAD	53%	292	261	52	12	1	11	26	96	3	4	1	199	279	379	659	180	261	33	9	285	84	-6	+0	-3	+1	+6	-0.1
2034	30	MLB CTX	LAD	52%	283	252	49	11	0	11	26	93	3	3	1	194	278	369	647	175	260	33	9	283	82	-6	+0	-3	+1	+6	-0.2
2035	31	MLB CTX	LAD	52%	274	244	47	11	0	10	25	91	3	3	1	193	276	361	636	168	258	33	9	279	80	-7	+0	-4	+1	+6	-0.3
2036	32	MLB CTX	LAD	52%	263	234	44	10	0	9	24	89	3	3	1	188	272	346	618	158	254	34	9	274	76	-7	+0	-4	+1	+6	-0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2725	2430	481	111	6	103	243	899	29	34	10	198	279	376	654	178	262	33	9	283	79	-57	+3	-26	+10	+59	-1.1
/ 162G	—	A+C		—	650	580	114	26	1	25	58	214	7	8	2	197	278	374	652	178	259	33	9	283	79	-13	+1	-6	+2	+14	-0.3
Career	—	MLE		—	6230	5530	1068	251	12	213	567	2082	78	94	22	193	277	358	636	165	261	33	9	285	79	-114	+6	-51	+19	+117	-2.3
/ 162G	—	MLE		—	650	577	111	26	1	22	59	217	8	10	2	192	276	355	632	163	260	33	9	285	79	-14	+1	-6	+2	+14	-0.3

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
#2Rougned Odorlast yr '23 career totals — 10 seasons, 4,424 PA	6.7	4,424	178	70	230	288	422	+16	+32	15.2	15.0
/162	664	27	11	+2.4	+4.9	2.3	pk7: 15
#3Jarrod Saltalamacchialast yr '16 career totals — 9 seasons, 3,127 PA	4.7	3,127	110	5	235	308	414	+56	-10	14.1	14.8
/162	664	23	1	+11.9	-2.1	3.0	pk7: 16
#4Danny 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
#5Trevor Plouffelast yr '17 career totals — 7 seasons, 3,178 PA	4.8	3,178	103	12	243	306	411	+14	-18	8.4	8.4
/162	664	22	3	+2.8	-3.8	1.8	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	4.1	2,727	99	34	199	277	374	+29	-20	5.0	4.6
/162	664	24	8	+7.1	-4.9	1.2	pk7: 4
#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

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
Logan Wagner (OGILVIE)	22	20→30	40→55	40	60	179/256/337	159	254	11	5	36%	8%	68	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Marcus Greene Jr. 2017 · A	22	34	46→50	44→40	39	181/247/307	126	264	15	5	36%	7%	56	-1.9	209/267/324	115	285	12	4	30%	7%	67	-1.1	208/268/318	109	276	12	2	28%	7%	64	-0.6
✕Isan Díaz 2018 · A	22	39→41	46→55	45	42	198/268/329	131	290	14	8	35%	8%	69	-0.9	208/276/351	143	291	16	8	32%	8%	77	-0.3	206/286/370	164	268	21	5	30%	9%	80	-0.1
✕Kevin Padlo 2018 · A	22	36→40	45→50	44→50	47	182/268/311	128	259	12	8	33%	10%	65	-1.2	195/278/338	143	287	14	9	35%	9%	75	-0.5	190/261/345	156	258	19	12	33%	8%	68	-0.7
✕Daniel Vellojin 2023 · AA	23	39	45	42→45	51	196/292/318	122	278	13	6	32%	12%	76	-0.4	179/261/272	93	255	9	6	31%	9%	53	-2.1	154/237/226	72	219	7	4	31%	9%	32	-1.3
✕Yasel Antuna 2022 · A	22	39→35	45	42→50	43	197/258/322	125	267	13	5	30%	7%	63	-1.3	184/268/283	99	263	9	14	31%	10%	59	-1.7	162/259/248	85	232	9	18	31%	11%	47	-1.6
✕Zack Collins 2018 · AA	23	36→42	48→50	41→40	47	183/275/321	138	287	16	2	39%	11%	70	-0.8	198/295/339	141	302	15	3	36%	12%	82	-0.0	193/300/335	143	284	15	2	34%	13%	81	-0.0
✕Freuddy Batista 2022 · A	22	38	51→50	46→40	41	204/266/362	158	277	19	7	33%	7%	76	-0.4	205/266/337	132	302	13	6	35%	6%	70	-0.8	206/257/336	130	270	16	4	30%	4%	63	-0.6
✕Johan Mieses 2017 · A	22	36→33	52→55	44→50	35	198/245/367	169	270	20	8	35%	5%	69	-0.9	184/234/333	149	254	20	4	35%	5%	57	-1.8	191/265/355	164	235	23	7	30%	7%	72	-0.4
✕Allan Cerda 2023 · AA	23	33→23	52→50	42→45	44	178/279/345	167	274	20	6	40%	10%	78	-0.3	175/269/320	145	289	17	8	42%	10%	68	-1.0	136/244/274	138	217	18	8	43%	11%	46	-0.8
✕Jose Lobatón 2007 · A	22	44	42→45	42→30	47	210/289/319	109	299	10	4	31%	9%	74	-0.5	219/282/343	124	298	13	3	29%	8%	77	-0.3	233/317/359	126	296	11	0	23%	11%	91	+0.3
✕Darrien Miller 2023 · A	22	38→41	47→45	50→45	48	196/307/325	129	265	16	7	30%	10%	84	+0.2	187/296/284	97	258	8	5	29%	10%	71	-0.8	175/316/278	103	239	9	4	27%	12%	76	-0.2
✕Eric Haase 2015 · A	22	38→42	48→60	42→40	37	197/247/340	144	288	16	3	37%	6%	63	-1.3	192/249/351	159	292	17	4	39%	6%	67	-1.1	217/276/424	207	286	30	2	35%	7%	91	+0.5
✕Omar Martinez 2023 · A	22	42→38	44→45	42→40	47	204/290/318	114	288	12	5	31%	9%	75	-0.5	196/278/320	124	295	14	5	35%	10%	71	-0.8	181/265/299	118	275	15	3	37%	10%	59	-1.2
✕Christopher Familia 2023 · A	23	40	46→55	47→45	45	203/281/331	128	258	14	8	26%	8%	74	-0.5	219/278/387	168	291	21	4	31%	6%	86	+0.3	217/271/408	191	280	27	0	32%	5%	84	+0.1
✕Sherten Apostel 2020 · A	21	38→34	47→50	45→40	44	195/269/325	130	273	16	4	33%	8%	68	-1.0	202/265/327	125	312	14	4	37%	7%	67	-1.1	200/262/331	131	310	15	0	38%	6%	63	-0.6
✕Colton Shaver 2019 · A	23	36→32	50	43→30	42	194/265/340	146	254	18	4	31%	7%	71	-0.8	190/269/339	149	282	18	3	37%	8%	72	-0.7	163/256/314	151	249	20	0	41%	9%	58	-1.0
✕Ryan Costello 2019 · A	23	41→39	50	42→30	47	214/284/368	154	274	17	4	28%	9%	84	+0.1	201/278/335	134	291	14	4	33%	9%	74	-0.6	169/258/297	128	251	15	0	37%	11%	56	-1.3
✕Drew Ellis 2019 · A	23	40→37	47→55	37→40	45	205/268/342	138	254	15	4	26%	7%	72	-0.7	205/283/350	145	268	16	3	28%	9%	80	-0.2	183/280/352	170	235	19	4	30%	10%	78	-0.2
✕Rudy van Heydoorn 2009 · A	20	39	43→45	42→50	48	193/294/300	106	278	11	10	32%	10%	73	-0.6	183/264/287	104	286	10	6	37%	8%	58	-1.7	153/236/254	101	237	11	2	38%	9%	40	-0.9
✕Ian Rice 2017 · A	23	43→40	47→50	43→30	48	216/294/353	138	287	15	4	29%	9%	84	+0.2	203/288/334	131	275	15	3	30%	10%	78	-0.3	186/276/303	117	251	14	0	30%	10%	64	-0.7

Career Stats + Projections

Career Comps

Career Path Comps