Ben McLaughlin — OGILVIE

Ben McLaughlin1B Amarillo Sod Poodles

Age 24 L/R 6'1" / 210 lbs AA HR -11% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION531 act + 9 ros · stats below = ROS only

showingROS

wRC+†85

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

PA9

HR0

K%22

BB%11

BABIP271

ISO123

MLB%2%

Value2026 · WAR

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

Tools · ContractCON 45 / POW 40

Toolsscout grade

CONTACT45

scouting grade only

POWER40

scouting grade only

EYE60

scouting grade only

SPEED40

scouting grade only

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	—	—	—
2030	Pre-Arb	$0.9M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
2032	Arb-1	$0.2M	—	—	—
2033	Arb-2	$0.4M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-5M	+$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)
2024	22	A	Visalia Rawhide	—	102	73	17	3	0	2	23	25	1	1	1	233	423	356	779	123	300	25	23	350	123	+3	-0	—	—	+2	0.5
2025	23	AA	Amarillo Sod Poodles	—	115	99	34	9	0	4	14	24	2	0	0	343	435	556	990	212	423	21	12	436	181	+11	+0	—	—	+2	1.4
2025	23	A+	Hillsboro Hops	—	267	220	55	17	0	5	45	46	1	0	1	250	380	395	775	145	294	17	17	353	125	+8	-0	—	—	+6	1.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	22	A MLE	Visalia Rawhide	—	102	79	17	3	0	2	17	33	1	1	1	215	361	329	690	114	280	32	17	305	93	-1	-0	—	—	+2	0.1
2025	23	AA MLE	Amarillo Sod Poodles	—	115	103	28	7	0	2	10	30	2	0	0	272	348	398	746	126	375	26	9	336	114	+2	+0	—	—	+2	0.4
2025	23	A+ MLE	Hillsboro Hops	—	267	238	46	14	0	4	27	64	1	0	1	193	278	303	581	109	244	24	10	263	64	-11	-0	—	—	+6	-0.6
2024	22	A MLE	Visalia Rawhide	—	102	79	17	3	0	2	17	33	1	1	1	215	361	329	690	114	312	32	17	305	93	—	—	—	—	—	—
2024	22	A RAW	Visalia Rawhide	—	102	73	17	3	0	2	23	25	1	1	1	233	423	356	779	123	300	25	23	350	93	—	—	—	—	—	—
2025	23	A+ MLE	2 teams	—	382	341	75	21	0	7	37	94	3	0	1	220	302	343	645	123	282	25	10	285	79	—	—	—	—	—	—
2025	23	A+ RAW	2 teams	—	382	319	89	26	0	9	59	70	3	0	1	279	396	445	841	166	332	18	15	378	79	—	—	—	—	—	—
2024	22	A MLE	Visalia Rawhide	—	102	83	17	3	0	2	17	33	1	1	1	205	361	313	674	108	280	32	17	305	93	—	—	—	—	—	—
2025	23	A+ MLE	2 teams	—	382	339	75	21	0	7	37	94	3	0	1	221	302	345	647	124	283	25	10	285	79	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	22	A MLE	Visalia Rawhide	—	102	83	17	3	0	2	17	33	1	1	1	205	361	313	674	108	280	32	17	305	93	—	—	—	—	—	—
2025	23	A+ MLE	2 teams	—	382	339	75	21	0	7	37	94	3	0	1	221	302	345	647	124	283	25	10	285	79	—	—	—	—	—	—
YTD	24	AA MLE	ARI	—	531	482	109	22	1	11	36	87	11	5	3	226	295	344	639	118	254	16	7	281	76	-15	-0	+0	-9	+12	-1.3
▸ 2026 season
YTD	24	AA RAW	ARI	—	531	465	121	26	1	14	52	71	11	5	3	260	348	411	759	151	280	13	10	341	76	—	—	—	—	—	—
ROS	24	AA MLE	ARI	2%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		265	22	11	295	85	-0	+0	+0	-0	+0	-0.0
TOT	24	AA MLE	ARI	—	540	490	110	22	1	11	37	89	11	5	3	224	294	341	634	116	253	16	7	281	76	-15	-0	+0	-10	+12	-1.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	ARI	39%	370	333	78	17	1	8	28	67	6	3	2	234	305	363	669	129	268	18	8	300	89	-5	-0	+0	-7	+8	-0.4
2028	26	MLB MLE	ARI	56%	593	533	125	27	1	14	46	110	9	6	3	235	306	368	674	133	269	19	8	303	91	-6	+0	+0	-11	+13	-0.4
2029	27	MLB MLE	ARI	62%	599	537	126	27	1	14	48	112	9	6	4	235	308	367	675	132	270	19	8	304	92	-6	-0	+0	-11	+13	-0.4
2030	28	MLB MLE	ARI	65%	598	536	126	27	1	14	48	114	9	7	4	235	309	368	676	132	270	19	8	303	91	-6	-0	-1	-11	+13	-0.5
2031	29	MLB MLE	ARI	64%	593	531	124	26	1	14	48	114	9	7	4	234	308	365	673	132	269	19	8	301	90	-7	-0	-1	-11	+13	-0.7
2032	30	MLB MLE	ARI	64%	414	371	85	18	1	9	34	80	6	4	3	229	304	356	660	127	268	19	8	298	88	-6	-0	-2	-7	+9	-0.7
2033	31	MLB MLE	ARI	64%	401	359	82	17	1	9	33	79	6	4	2	228	304	357	661	128	265	20	8	294	85	-7	+0	-3	-7	+9	-0.9
2027	25	MLB CTX	ARI	39%	143	129	30	7	0	3	11	26	2	1	1	233	303	357	659	124	273	18	8	291	89	-2	-0	+0	-3	+3	-0.2
2028	26	MLB CTX	ARI	56%	331	297	71	16	1	7	26	61	5	3	2	239	311	370	681	131	275	18	8	294	91	-4	-0	+0	-6	+7	-0.3
2029	27	MLB CTX	ARI	62%	369	332	79	18	1	8	29	69	5	4	2	238	309	370	679	133	276	19	8	295	92	-4	+0	+0	-7	+8	-0.2
2030	28	MLB CTX	ARI	65%	386	346	82	18	1	9	31	73	6	4	2	237	311	373	684	136	276	19	8	295	91	-4	+0	-0	-7	+8	-0.3
2031	29	MLB CTX	ARI	64%	382	342	81	18	1	8	31	73	6	4	2	237	311	365	677	129	275	19	8	293	90	-5	+0	-1	-7	+8	-0.4
2032	30	MLB CTX	ARI	64%	267	239	56	12	1	6	22	52	4	3	2	234	309	368	678	134	273	19	8	290	88	-4	-0	-1	-5	+6	-0.4
2033	31	MLB CTX	ARI	64%	258	231	53	12	0	5	21	51	4	3	2	229	305	346	651	117	271	20	8	286	85	-5	-0	-2	-5	+6	-0.6
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2136	1916	452	101	5	46	171	405	32	22	13	236	309	366	675	130	275	19	8	293	89	-26	-1	-5	-38	+46	-2.4
/ 162G	—	A+C		—	650	583	138	31	2	14	52	123	10	7	4	237	310	369	679	132	276	19	8	293	89	-8	-0	-1	-12	+14	-0.7
Career	—	MLE		—	4061	3628	839	183	7	91	340	805	58	38	24	231	307	361	668	130	272	20	8	300	89	-43	-1	-7	-64	+78	-3.9
/ 162G	—	MLE		—	650	581	134	29	1	15	54	129	9	6	4	231	306	361	667	131	270	20	8	300	89	-8	-0	-1	-12	+14	-0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny 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
#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
#3Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#4Casey McGeheelast yr '16 career totals — 7 seasons, 3,061 PA	4.6	3,061	67	7	258	318	386	+3	+7	8.3	8.3
/162	664	15	2	+0.7	+1.4	1.8	pk7: 8
#5Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	3.2	2,143	49	23	234	304	365	+8	+2	3.9	3.9
/162	664	15	7	+2.3	+0.6	1.2	pk7: 4
#6Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	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
Ben McLaughlin (OGILVIE)	24	45	40	40	60	229/300/348	119	265	6	3	18%	7%	85	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Greg Cullen 2022 · AA	25	46→44	42→40	43→40	52	222/314/329	107	293	9	4	26%	10%	86	+0.3	234/325/337	103	316	10	6	26%	11%	92	+0.7	234/334/325	92	316	9	5	26%	11%	91	+0.3
✕Scott Campbell 2009 · AA	24	53→57	41→40	38→40	54	256/325/358	102	296	9	4	16%	9%	95	+1.0	244/309/336	92	285	7	6	16%	8%	84	+0.2	244/314/313	69	280	4	5	14%	9%	78	-0.2
✕Stephen Parker 2012 · AAA	24	50→53	44→45	43→40	47	242/301/362	120	305	11	3	24%	8%	88	+0.4	214/273/315	101	295	9	5	29%	7%	67	-1.1	194/255/286	92	275	9	5	31%	6%	51	-1.6
✕Vimael Machín 2018 · AAA	24	50→54	42→45	42→50	46	245/293/348	103	295	10	5	20%	6%	81	-0.1	227/291/322	95	275	8	5	19%	8%	75	-0.5	241/308/341	100	286	7	3	17%	8%	85	+0.2
✕Patrick Mazeika 2018 · AA	24	52→51	41→45	43→30	51	248/328/351	103	300	8	3	19%	8%	96	+1.0	219/284/340	121	254	13	3	19%	7%	77	-0.3	209/270/330	121	237	14	0	18%	6%	67	-0.6
✕Matt Koperniak 2022 · AA	24	53→55	43→45	43→45	47	254/324/369	114	305	10	6	19%	7%	99	+1.2	255/310/378	123	309	13	9	21%	6%	95	+0.9	259/310/385	126	313	15	9	22%	6%	93	+0.7
✕Christian Snavely 2006 · A	24	48→49	44→45	42→40	51	235/307/355	120	294	11	5	23%	9%	88	+0.5	214/286/333	119	303	11	5	30%	9%	76	-0.4	180/262/298	118	267	11	2	34%	9%	59	-0.9
✕Tanner Morris 2023 · AAA	25	51→52	40	39→40	53	239/326/331	91	310	8	4	24%	10%	91	+0.6	230/311/321	91	307	7	5	25%	10%	82	+0.0	242/323/328	86	321	7	1	24%	10%	86	+0.2
✕Juan Carlos Gamboa 2015 · AAA	24	50	42→45	45→50	46	241/298/353	113	294	9	10	21%	7%	84	+0.2	251/302/356	105	312	9	8	22%	6%	86	+0.3	258/316/353	95	331	10	5	24%	7%	91	+0.3
✕Matt Thaiss 2018 · AA	23	49→50	41→50	43→45	48	237/303/341	104	295	8	6	22%	8%	84	+0.1	223/287/361	138	276	14	5	24%	8%	82	+0.0	222/303/377	155	275	18	4	25%	10%	90	+0.5
✕Richie Fecteau 2018 · A	24	46	43→45	44→40	45	227/281/338	110	271	11	5	21%	6%	75	-0.5	211/257/315	104	310	8	5	33%	5%	60	-1.6	188/228/286	98	301	6	2	38%	4%	39	-1.7
●Taylor Green 2011 · AA	24	48→56	45→50	37→30	49	234/290/358	124	264	12	2	17%	7%	83	+0.1	242/299/384	142	285	15	3	20%	7%	93	+0.8	239/296/374	136	279	14	1	20%	7%	87	+0.2
✕Peter Ciofrone 2008 · AAA	24	49→55	41→45	38→40	47	236/299/333	97	277	9	4	18%	6%	81	-0.1	220/281/333	113	261	12	3	20%	6%	74	-0.5	212/275/326	114	249	13	1	20%	6%	68	-0.7
✕Kevin Kramer 2018 · AA	24	51→54	41→45	44→50	44	242/302/355	113	302	7	8	22%	6%	86	+0.3	234/289/352	118	323	10	9	29%	6%	81	-0.1	220/284/327	107	310	9	6	30%	7%	72	-0.5
✕Danny Putnam 2007 · AA	24	49→53	46→50	43→45	49	245/305/380	135	288	13	3	20%	8%	93	+0.8	223/287/355	132	283	14	6	25%	7%	82	-0.0	212/278/346	134	269	15	6	26%	7%	73	-0.4
✕Rene Tosoni 2010 · AA	24	49→48	45	44→45	45	239/310/367	128	306	11	9	25%	7%	93	+0.8	219/279/332	113	284	10	7	25%	6%	73	-0.6	202/257/297	96	259	8	5	25%	6%	54	-1.2
✕Nick Weglarz 2012 · AAA	24	43→47	48→50	42→45	53	215/309/360	145	271	14	5	25%	11%	92	+0.7	210/291/345	135	326	15	6	37%	9%	81	-0.1	190/275/323	133	307	16	3	40%	9%	69	-0.7
✕Austin Davidson 2017 · A	24	44→43	44→45	43→45	48	217/287/334	117	253	11	6	19%	7%	77	-0.3	221/282/334	113	278	9	6	23%	7%	74	-0.5	215/276/323	108	274	9	5	23%	7%	67	-0.7
✕Luke Waddell 2023 · AA	25	48→52	44→40	44→50	50	235/294/350	115	268	12	9	18%	7%	82	+0.0	232/304/317	85	273	6	15	16%	8%	78	-0.3	230/303/302	72	272	4	15	16%	8%	73	-0.5
✕Kris Watts 2009 · AA	25	47→53	43→45	38→30	47	227/280/340	113	265	9	3	18%	6%	75	-0.5	237/310/348	111	278	9	3	17%	8%	88	+0.5	237/319/345	108	278	9	1	17%	8%	90	+0.3

Career Stats + Projections

Career Comps

Career Path Comps