Logan Wagner

3B Great Lakes Loons

Age 23 S/R 6'1" / 200 lbs A+ HR +8%BB -8% Svc 0.0 · Ctrl thru 2033

Overview

A+PROSPECTFG #1000MiLBFA 2034

Scout OFP40ETA2030FG ETA2028MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	21	A+LAD	533	.216/.348/.380	15	18	61	—	.173/.276/.296
2025	21	INTLGlendale Dese…	68	.218/.358/.400	2	2	116	—
2026	22	AALAD	130	.178/.323/.383	6	1	53	—	.142/.254/.301
2026	22	A+LAD	254	.260/.315/.550	16	4	73	—	.198/.243/.409
2027PROJ0% MLB	23	MLBLAD	2	.187/.269/.348	0	0	75	-0.0
2028PROJ22% MLB	24	MLBLAD	101	.192/.275/.360	4	2	79	0.0
2029PROJ35% MLB	25	MLBLAD	168	.196/.278/.366	6	3	82	0.1

Next 3 projected WAR 0.1Projected 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$1M2032Arb-2$2M2033Arb-3$1.0M

Skills · percentileMiLB Statcast 2026 AA

BB%92

ISO76

Z-Con%56

Chase%50

wOBA44

wRC+41

Career WAR0 WAR median (P10 -0 / P90 2, comp-based) · star 1% · didn't stick 90%

CompsZack Collins (age 23) · Allan Cerda (age 23) · Brennen Davis (age 23)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†75

AVG/OBP/SLG.187 / .269 / .348

PA2

HR0

K%50

BB%9

BABIP260

ISO158

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control-$3M ctrl surplus

Tools · ContractCON 36 / POW 55

Toolsscout grade

CONTACT36

scouting grade only

POWER55

scouting grade only

EYE60

scouting grade only

SPEED42

scouting grade only

DEFENSE46

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	—	—	—
2029	Pre-Arb	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2030	Pre-Arb	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2031	Arb-1	$1M	+0.1	$0.3M	+$0.0M (cut)
2032	Arb-2	$2M	+0.1	$0.3M	+$0.0M (cut)
2033	Arb-3	$1.0M	—	—	—
Totals		$0.0M		$1M	+$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 = actual YTD + projected ROS + total. 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 Dodgers	—	58	50	11	1	0	0	7	12	1	2	1	220	328	240	568	20	289	21	12	275	16	—	—	—	—	—	—
2023	19	ROK	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	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+	Great Lakes Loons	—	533	440	95	23	2	15	78	140	11	18	3	216	348	380	727	164	277	26	15	331	61	—	—	—	—	—	—
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	—	—	—	—	—	—
2026	22	AA	Tulsa Drillers	—	130	107	19	4	0	6	21	44	2	1	0	178	323	383	706	206	228	34	16	322	53	—	—	—	—	—	—
2026	22	A+	Great Lakes Loons	—	254	231	60	19	0	16	18	71	1	4	2	260	315	550	865	290	299	28	7	369	73	—	—	—	—	—	—
2026	22	ROK	ACL Dodgers	—	15	14	7	2	0	0	1	3	0	1	0	500	533	643	1.176	143	636	20	7	519	122	—	—	—	—	—	—
▸ 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	235	29	7	192	16	—	—	—	—	—	—
2023	19	ROK MLE	ACL Dodgers	—	15	12	1	0	0	0	3	7	0	0	0	83	267	83	350		143	47	20	160	-6	—	—	—	—	—	—
2024	20	A MLE	Rancho Cucamonga Quakes	—	164	134	24	6	2	4	20	58	8	4	0	179	321	343	664	164	259	35	12	299	88	—	—	—	—	—	—
2025	21	A+ MLE	Great Lakes Loons	—	533	463	80	19	1	12	55	181	11	18	3	173	276	296	572	123	247	34	10	259	61	—	—	—	—	—	—
2026	22	AA MLE	Tulsa Drillers	—	130	113	16	3	0	5	15	54	2	1	0	142	254	301	555	159	199	42	12	246	53	—	—	—	—	—	—
2026	22	A+ MLE	Great Lakes Loons	—	254	237	47	14	0	12	13	90	1	4	2	198	243	409	652	211	246	35	5	276	73	—	—	—	—	—	—
2026	22	ROK MLE	ACL Dodgers	—	15	14	5	1	0	0	1	4	0	1	0	357	400	429	829	71	491	27	7	349	122	—	—	—	—	—	—
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	192	16	—	—	—	—	—	—
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	16	—	—	—	—	—	—
2023	19	ROK MLE	ACL Dodgers	—	15	12	1	0	0	0	3	7	0	0	0	83	267	83	350		200	47	20	160	-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	2	4	20	58	8	4	0	179	321	343	664	164	270	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	522	91	22	2	13	63	204	11	20	3	174	277	299	576	125	252	34	10	259	61	—	—	—	—	—	—
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	61	—	—	—	—	—	—
2026	22	A+ MLE	3 teams	—	399	364	67	18	0	17	29	148	3	6	2	184	250	374	624	190	248	37	7	269	68	—	—	—	—	—	—
2026	22	A+ RAW	3 teams	—	399	352	86	25	0	22	40	118	3	6	2	244	326	503	829	259	298	30	10	359	68	—	—	—	—	—	—
2022	18	ROK MLE	ACL Dodgers	—	58	53	9	1	0	0	4	17	1	2	1	170	241	189	430	19	235	29	7	192	16	—	—	—	—	—	—
2023	19	ROK MLE	ACL Dodgers	—	15	12	1	0	0	0	3	7	0	0	0	83	267	83	350		143	47	20	160	-6	—	—	—	—	—	—
2024	20	A MLE	Rancho Cucamonga Quakes	—	164	135	24	6	2	4	20	58	8	4	0	178	321	341	662	163	259	35	12	299	88	—	—	—	—	—	—
2025	21	A+ MLE	2 teams	—	601	522	91	22	2	13	63	204	11	20	3	174	277	299	576	125	247	34	10	259	61	—	—	—	—	—	—
2026	22	A+ MLE	3 teams	—	399	364	67	18	0	17	29	148	3	6	2	184	250	374	624	190	240	37	7	269	68	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	20	A MLE	Rancho Cucamonga Quakes	—	164	135	24	6	2	4	20	58	8	4	0	178	321	341	662	163	259	35	12	299	88	—	—	—	—	—	—
2025	21	A+ MLE	2 teams	—	601	522	91	22	2	13	63	204	11	20	3	174	277	299	576	125	247	34	10	259	61	—	—	—	—	—	—
2026	22	A+ MLE	3 teams	—	399	364	67	18	0	17	29	148	3	6	2	184	250	374	624	190	240	37	7	269	68	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	LAD	0%	509	453	87	21	1	17	45	180	6	8	2	189	272	349	621	160	266	35	9	279	75	-15	+1	-3	+2	+11	0.1
▸ 2027 — real world (MLB)
2027	23	MLB CTX	LAD	0%	2	2	0	0	0	0	0	1	0	0	0	187	269	348	618	161	260	50	0	277	75	-0	+0	-0	+0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	LAD	22%	455	406	79	18	1	16	41	157	5	7	2	195	277	360	637	166	268	35	9	285	79	-11	+1	-1	+2	+10	-0.1
2029	25	MLB MLE	LAD	35%	487	434	86	20	1	17	44	165	6	7	2	198	280	367	647	169	270	34	9	289	82	-10	+1	-1	+2	+11	0.2
2030	26	MLB MLE	LAD	42%	506	450	91	21	1	18	45	168	6	7	2	201	283	370	653	169	271	33	9	292	83	-10	+1	-1	+2	+11	0.3
2031	27	MLB MLE	LAD	45%	512	455	92	21	1	18	46	168	6	7	2	202	284	370	653	167	272	33	9	292	84	-10	+1	-1	+2	+11	0.3
2032	28	MLB MLE	LAD	46%	512	455	92	21	1	17	46	167	6	6	2	203	284	367	651	165	272	33	9	291	83	-10	+0	-1	+2	+11	0.2
2033	29	MLB MLE	LAD	46%	505	449	90	20	1	17	45	166	6	5	2	200	281	361	642	161	271	33	9	288	81	-12	+0	-2	+2	+11	-0.1
2034	30	MLB MLE	LAD	51%	496	444	88	20	1	16	44	164	5	4	2	198	278	354	632	156	269	33	9	283	78	-13	+0	-3	+2	+11	-0.4
2035	31	MLB MLE	LAD	54%	483	433	84	19	1	15	42	162	5	2	4	194	273	345	618	151	266	34	9	278	74	-15	-1	-4	+2	+10	-0.8
2028	24	MLB CTX	LAD	22%	101	90	18	4	0	4	9	35	1	2	0	192	275	360	634	167	262	35	9	284	79	-3	+0	-0	+0	+2	0.0
2029	25	MLB CTX	LAD	35%	168	149	28	6	0	6	15	57	2	3	1	196	278	366	644	170	264	34	9	288	82	-4	+0	-0	+1	+4	0.1
2030	26	MLB CTX	LAD	42%	212	188	37	8	0	8	19	71	3	3	1	198	281	369	650	171	265	33	9	290	83	-4	+0	-0	+1	+5	0.1
2031	27	MLB CTX	LAD	45%	229	203	41	9	1	8	21	75	3	3	1	200	282	369	650	169	266	33	9	290	84	-4	+0	-0	+1	+5	0.1
2032	28	MLB CTX	LAD	46%	238	212	42	9	1	8	21	77	3	3	1	200	281	366	647	166	266	32	9	289	83	-5	+0	-1	+1	+5	0.1
2033	29	MLB CTX	LAD	46%	234	208	41	9	0	8	21	77	3	2	1	198	279	360	639	162	265	33	9	286	81	-5	+0	-1	+1	+5	-0.0
2034	30	MLB CTX	LAD	51%	251	224	43	9	0	8	22	83	3	2	1	195	275	353	628	158	263	33	9	282	78	-7	+0	-1	+1	+5	-0.2
2035	31	MLB CTX	LAD	54%	260	232	44	10	0	8	23	87	3	1	2	191	271	343	614	152	260	33	9	276	74	-8	-1	-2	+1	+6	-0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1693	1506	294	64	2	58	151	562	21	19	8	195	278	356	634	161	264	33	9	286	77	-40	+1	-6	+6	+37	-0.3
/ 162G	—	A+C		—	650	578	113	25	1	22	58	216	8	7	3	196	278	356	634	161	265	33	9	286	77	-15	+0	-2	+2	+14	-0.1
Career	—	MLE		—	5513	4896	948	220	13	178	500	1864	72	82	25	194	278	353	631	159	267	34	9	281	77	-101	+2	-15	+15	+93	-0.7
/ 162G	—	MLE		—	650	577	112	26	2	21	59	220	8	10	3	194	278	355	633	161	268	34	9	281	77	-15	+0	-2	+2	+14	-0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Luis Valbuenalast yr '18 career totals — 10 seasons, 3,527 PA	5.3	3,527	113	10	226	311	395	+13	+1	10.5	11.2
/162	664	21	2	+2.4	+0.1	2.0	pk7: 12
#2Trevor 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
#3Billy Urbanski'31-'37 * career totals — 6 seasons, 3,345 PA	5.0	3,345	19	24	237*	300*	353*	+32	+2	7.1	7.1
/162	664	4	5	+6.5	+0.4	1.4	pk7: 7
#4Tim Beckhamlast yr '19 career totals — 5 seasons, 1,743 PA	2.6	1,743	63	13	248	301	431	+19	-13	6.1	6.1
/162	664	24	5	+7.1	-4.8	2.3	pk7: 6
#5Heinie Sand'23-'28 * career totals — 6 seasons, 3,529 PA	5.3	3,529	18	21	229*	321*	354*	+36	-15	3.9	3.9
/162	664	3	4	+6.7	-2.8	0.7	pk7: 4
#6Monte Cross'01-'07 * career totals — 7 seasons, 3,343 PA	5.0	3,343	9	138	213*	306*	344*	+36	-30	2.8	2.8
/162	664	2	27	+7.1	-6.0	0.6	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	2.5	1,693	56	18	200	278	363	+18	-4	2.6	2.6
/162	664	22	7	+7.1	-1.7	1.0	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
Logan Wagner (OGILVIE)	23	20→36	40→55	40→42	60	188/269/346	158	266	10	5	35%	9%	75	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Zack Collins 2018 · AA	23	37→42	48→50	41→40	47	185/278/325	140	290	16	2	39%	11%	72	-0.7	204/302/356	152	310	17	3	36%	12%	88	+0.4	199/306/353	154	293	17	2	34%	13%	89	+0.4
✕Allan Cerda 2023 · AA	23	34→25	53→55	42→45	45	182/282/353	171	274	21	6	39%	10%	81	-0.1	177/271/325	148	288	18	8	41%	10%	70	-0.8	139/245/280	141	220	18	8	43%	10%	48	-0.8
✕Brennen Davis 2023 · AAA	23	41→43	47→50	43→45	42	204/289/341	137	303	15	7	36%	8%	80	-0.1	191/280/318	127	261	15	9	32%	7%	72	-0.7	188/287/362	173	236	23	4	30%	8%	83	+0.0
✕Brett Cumberland 2019 · AA	24	39→41	46→45	38→30	41	191/287/320	129	294	14	2	37%	8%	75	-0.5	199/302/320	121	292	12	3	34%	8%	81	-0.1	177/295/278	101	266	11	1	34%	8%	67	-0.4
✕Daniel Vellojin 2023 · AA	23	40	45	42→45	52	200/295/324	124	280	13	6	32%	12%	78	-0.3	181/261/276	95	256	9	6	31%	9%	54	-2.0	150/230/223	73	210	7	4	31%	8%	29	-1.4
✕Ian Rice 2018 · AA	24	39→40	51→50	41→30	50	208/291/361	154	264	19	3	29%	10%	85	+0.2	201/283/316	115	282	12	3	31%	9%	72	-0.7	183/271/276	93	265	9	1	32%	9%	58	-0.9
✕Jeremiah Jackson 2023 · AA	23	38→48	49→55	48→55	42	201/265/351	150	272	17	12	32%	7%	73	-0.6	221/268/376	155	290	20	15	30%	6%	80	-0.2	231/272/390	159	293	20	15	28%	5%	82	+0.0
✕Wes Clarke 2023 · AA	23	37→39	49→50	41→40	51	190/290/334	144	263	17	3	32%	11%	79	-0.2	200/298/361	161	298	20	5	36%	11%	88	+0.4	191/296/352	161	276	21	4	36%	12%	83	+0.1
✕Jared Greenwood 2007 · A	24	39	50→55	43→45	42	206/271/353	147	290	19	7	35%	8%	75	-0.5	204/266/329	125	321	14	6	38%	7%	68	-1.0	169/232/282	113	281	12	0	42%	7%	41	-1.0
✕Bobby Borchering 2014 · AA	23	37→44	48→50	41→30	37	193/249/332	139	284	17	3	37%	6%	63	-1.4	183/236/277	94	303	9	4	40%	6%	44	-2.8	149/190/213	64	249	5	2	41%	4%	9	-2.2
✕George Valera 2024 · AAA	23	42→43	49→50	42→45	49	213/301/363	150	293	17	5	32%	10%	89	+0.5	221/292/363	142	301	16	6	30%	9%	85	+0.2	222/290/363	141	290	16	5	28%	8%	82	+0.0
✕Ryan Costello 2019 · A	23	41→39	50	42→30	47	214/284/368	154	273	17	4	28%	9%	84	+0.1	202/278/337	135	292	15	4	33%	9%	74	-0.5	170/260/301	131	253	15	0	37%	11%	58	-1.2
✕Aaron Bracho 2024 · AA	23	37→40	48→45	44→40	43	195/265/332	137	267	17	4	33%	8%	69	-0.9	203/262/322	119	263	14	6	27%	7%	65	-1.2	185/241/286	101	234	12	5	26%	6%	47	-1.2
✕John Tolisano 2012 · AA	23	39→48	47→45	44→50	44	201/265/335	135	272	14	8	31%	8%	69	-0.9	212/275/335	123	273	11	11	25%	8%	72	-0.7	203/269/320	116	257	11	11	24%	8%	64	-0.7
✕Jhonkensy Noel 2024 · AAA	23	37→42	52→55	41→45	40	203/265/366	163	260	22	3	31%	6%	76	-0.4	209/265/378	169	271	22	3	31%	6%	80	-0.2	201/256/375	174	256	24	1	32%	5%	73	-0.4
✕Luca Tresh 2023 · AA	23	43→42	49→50	44→40	44	221/284/364	144	295	18	5	31%	8%	83	+0.1	207/267/344	137	264	16	4	27%	7%	72	-0.7	208/257/339	131	282	15	2	31%	5%	64	-0.8
✕Jose Ramos 2024 · AA	23	42→44	49→50	47→45	41	212/281/356	144	311	18	6	36%	8%	80	-0.1	202/268/336	134	315	17	7	39%	8%	70	-0.8	194/263/327	133	302	17	7	39%	8%	64	-1.0
●Tom Murphy 2014 · AA	23	42→38	50→65	42→45	39	211/276/367	156	300	17	5	34%	6%	81	-0.1	212/267/380	168	296	20	5	34%	6%	80	-0.1	247/319/462	214	314	30	2	30%	9%	119	+1.2
✕Marcus Greene Jr. 2018 · A	23	39	47→50	42→40	43	203/264/334	131	264	15	4	29%	7%	69	-0.9	213/268/317	104	301	10	5	31%	6%	65	-1.2	197/247/259	63	294	6	0	34%	6%	40	-0.9
✕Luke Montz 2006 · A	23	35→44	52→55	45→40	44	194/261/363	169	251	20	4	32%	8%	74	-0.5	203/266/348	145	261	17	3	28%	7%	72	-0.7	196/269/392	196	229	27	4	28%	8%	84	+0.1

Logan Wagner

Career Stats + Projections

Career Comps

Career Path Comps