Alex Freeland — OGILVIE

Alex Freeland2B Los Angeles Dodgers

Age 24 S/R 5'11" / 200 lbs MLB HR +8%BB -8% Svc 0.221 · Ctrl thru 2031

2026 ROS PROJECTION433 act + 10 ros · stats below = ROS only

showingROS

wRC+†85

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

PA10

HR0

K%30

BB%10

BABIP290

ISO142

MLB%100%

Value2026 · WAR

2026 MLB RUNS · solid = so far · light = projected ROS (park-applied)

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$21M ctrl surplus

Tools · Recent Form · ContractCON 43 / POW 48

Toolsscout grade · Statcast %ile · 2025-2026

CONTACT43

Whiff%

902.9%

xAVG

100.201

POWER48

Barrel%

376.6

Avg EV

5889.7

Bat Spd

4771.0

EYE60

Chase%

906.0%

SPEED48

Sprint

4027.0

DEFENSE50

scouting grade only

Recent Formrolling true talent ⓘ

K%25%▲▲19% over 31 PA (60d) · proj 27%

BB%11%▲16% over 31 PA (60d) · proj 10%

ISO.127▼.038 over 26 AB (60d) · proj .142

BABIP.297·.200 over 20 BIP (60d) · proj .299

SLASH.232/.324/.360·proj .229/.311/.371

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

Status Pre-Arb

MLB Debut 2025

Service 0.221 yrs.days

Team Control Through 2031

First FA Year 2032

Year	Status	Salary	Proj WAR	Value	Surplus
2026ROS	Ext	$0.1M	—	—	—
2027	Pre-Arb	$0.8M	+0.7	$3M	+$2M
2028	Pre-Arb	$0.8M	+1.3	$9M	+$8M
2029	Arb-1	$4M	+1.3	$8M	+$5M
2030	Arb-2	$6M	+1.1	$6M	+$2M
2031	Arb-3	$6M	+0.6	$2M	+$0.0M (cut)
Totals		$12M		$28M	+$18M

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	20	A	Rancho Cucamonga Quakes	—	36	32	10	1	0	3	2	11	2	2	0	312	389	625	1.014	312	389	31	6	440	184	+4	+0	—	—	+1	0.5
2023	21	A+	Great Lakes Loons	—	461	392	94	17	2	9	60	131	5	31	8	240	348	362	710	122	332	28	13	323	105	+3	+3	—	—	+10	1.6
2024	22	AAA	Oklahoma City Baseball Club	—	164	144	35	7	0	5	19	44	1	2	0	243	335	396	731	153	316	27	12	330	110	+2	+0	—	—	+4	0.6
2024	22	AA	Tulsa Drillers	—	341	282	69	15	1	11	45	73	12	24	2	245	372	422	794	177	290	21	13	358	128	+11	+4	—	—	+7	2.3
2024	22	A+	Great Lakes Loons	—	110	81	28	10	2	2	27	16	2	5	0	346	518	593	1.111	247	413	15	25	484	213	+15	+1	—	—	+2	1.9
2025	23	MLB	Los Angeles Dodgers	—	97	84	16	2	1	2	11	35	1	1	0	190	292	310	601	119	298	36	11	275	72	-3	+0	+2	+2	+2	0.3
2025	23	AAA	Oklahoma City Comets	—	508	415	109	30	0	16	83	111	3	18	6	263	389	451	840	188	315	22	16	372	138	+23	+1	—	—	+11	3.6
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	97	84	16	2	1	2	11	35	1	1	0	190	292	310	601	119	298	36	11	275	72	-3	+0	+2	+2	+2	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	20	A MLE	Rancho Cucamonga Quakes	—	36	33	8	1	0	2	1	16	2	2	0	242	306	455	760	212	344	44	3	295	86	-1	+0	—	—	+1	0.1
2023	21	A+ MLE	Great Lakes Loons	—	461	411	76	13	1	7	41	176	5	31	8	185	267	273	539	88	294	38	9	248	54	-25	+3	—	—	+10	-1.3
2024	22	AAA MLE	Oklahoma City Baseball Club	—	164	150	30	6	0	4	13	57	1	2	0	200	268	320	588	120	284	35	8	256	59	-8	+0	—	—	+4	-0.4
2024	22	AA MLE	Tulsa Drillers	—	341	297	59	13	1	8	30	93	12	24	2	199	298	330	628	131	248	27	9	275	72	-11	+4	—	—	+7	0.0
2024	22	A+ MLE	Great Lakes Loons	—	110	90	26	9	2	2	18	22	2	5	0	289	418	500	918	211	367	20	16	394	153	+7	+1	—	—	+2	1.1
2025	23	MLB MLE	Los Angeles Dodgers	—	97	84	16	2	1	2	11	35	1	1	0	190	292	310	601	119	298	36	11	278	75	-3	+0	+2	+2	+2	0.4
2025	23	AAA MLE	Oklahoma City Comets	—	508	444	100	26	0	13	54	141	3	18	6	225	313	372	685	146	285	28	11	303	91	-5	+1	—	—	+11	0.7
2022	20	A MLE	Rancho Cucamonga Quakes	—	36	33	8	1	0	2	1	16	2	2	0	242	306	455	760	212	400	44	3	295	86	—	—	—	—	—	—
2022	20	A RAW	Rancho Cucamonga Quakes	—	36	32	10	1	0	3	2	11	2	2	0	312	389	625	1.014	312	389	31	6	440	86	—	—	—	—	—	—
2023	21	A+ MLE	Great Lakes Loons	—	461	411	76	13	1	7	41	176	5	31	8	185	267	273	539	88	297	38	9	248	54	—	—	—	—	—	—
2023	21	A+ RAW	Great Lakes Loons	—	461	392	94	17	2	9	60	131	5	31	8	240	348	362	710	122	332	28	13	323	54	—	—	—	—	—	—
2024	22	AA MLE	3 teams	—	615	537	114	27	3	14	61	172	15	31	2	212	310	352	662	140	283	28	10	291	83	—	—	—	—	—	—
2024	22	AA RAW	3 teams	—	615	507	132	32	3	18	91	133	15	31	2	260	388	442	830	181	318	22	15	373	83	—	—	—	—	—	—
2025	23	AAA MLE	2 teams	—	605	528	116	28	1	15	65	176	4	19	6	220	310	362	672	142	294	29	11	299	89	—	—	—	—	—	—
2025	23	AAA RAW	2 teams	—	605	499	125	32	1	18	94	146	4	19	6	251	374	427	800	176	313	24	16	356	89	—	—	—	—	—	—
2022	20	A MLE	Rancho Cucamonga Quakes	—	36	33	8	1	0	2	1	16	2	2	0	242	306	455	760	212	344	44	3	295	86	—	—	—	—	—	—
2023	21	A+ MLE	Great Lakes Loons	—	461	412	76	13	1	7	41	176	5	31	8	184	267	272	539	87	294	38	9	248	54	—	—	—	—	—	—
2024	22	AA MLE	3 teams	—	615	534	114	27	3	14	61	172	15	31	2	213	310	354	664	140	279	28	10	291	83	—	—	—	—	—	—
2025	23	AAA MLE	2 teams	—	605	531	116	28	1	15	65	176	4	19	6	218	310	360	670	141	287	29	11	299	89	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	21	A+ MLE	Great Lakes Loons	—	461	412	76	13	1	7	41	176	5	31	8	184	267	272	539	87	294	38	9	248	54	—	—	—	—	—	—
2024	22	AA MLE	3 teams	—	615	534	114	27	3	14	61	172	15	31	2	213	310	354	664	140	279	28	10	291	83	—	—	—	—	—	—
2025	23	AAA MLE	2 teams	—	605	531	116	28	1	15	65	176	4	19	6	218	310	360	670	141	287	29	11	299	89	—	—	—	—	—	—
YTD	24	MLB MLE	LAD	—	433	383	83	13	2	7	44	118	1	12	3	217	299	316	615	99	292	27	10	277	73	-14	+1	+1	+2	+9	-0.1
▸ 2026 season
▸ 2026 season — so far · projected rest · full
SO FAR	24	MLB RAW	LAD	—	251	218	49	8	0	3	27	72	1	3	0	225	313	303	616	78	317	29	11	281	73	-8	+1	+1	+2	+5	0.0
YTD	24	AAA RAW	LAD	—	182	158	41	6	3	5	24	36	0	9	3	259	357	430	788	171	308	20	13	352	73	—	—	—	—	—	—
YTD	24	MLB RAW	LAD	—	251	218	49	8	0	3	27	72	1	3	0	225	313	303	616	78	317	29	11	281	76	-7	+1	+1	+1	+5	0.0
ROS	24	MLB MLE	LAD	100%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		294	30	10	294	85	-0	+0	+0	+0	+0	0.0
ROS	24	MLB CTX	LAD	100%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		290	30	10	289	85	-0	+0	+0	+0	+0	0.0
FULL	24	MLB A+C	LAD	—	261	227	50	8	0	3	28	75	1	3	0	220	309	295	604	75	311	29	11	281	74	-8	+1	+1	+1	+6	-0.0
TOT	24	MLB MLE	LAD	—	443	392	84	13	2	7	45	121	1	12	3	214	297	311	608	97	289	27	10	277	74	-14	+1	+1	+2	+10	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	LAD	92%	420	372	84	15	2	10	43	114	2	11	3	226	309	358	667	132	296	27	10	300	89	-5	+1	+2	+1	+9	0.8
2028	26	MLB MLE	LAD	92%	660	583	133	24	3	16	68	179	4	17	4	228	313	362	675	134	297	27	10	302	91	-7	+2	+3	+2	+14	1.4
2029	27	MLB MLE	LAD	92%	660	582	132	24	3	16	69	180	4	17	4	227	313	361	674	134	296	27	10	302	91	-7	+2	+3	+2	+14	1.4
2030	28	MLB MLE	LAD	92%	652	575	130	24	3	15	68	179	4	16	4	226	312	357	669	130	296	27	10	301	90	-8	+2	+2	+2	+14	1.2
2031	29	MLB MLE	LAD	92%	429	379	85	15	2	10	45	118	2	10	3	224	310	354	663	129	295	28	10	299	89	-6	+1	+0	+2	+9	0.6
2032	30	MLB MLE	LAD	92%	420	371	82	15	2	9	44	117	2	8	2	221	307	345	652	124	293	28	10	296	87	-7	+1	-0	+1	+9	0.4
2033	31	MLB MLE	LAD	92%	405	357	78	14	1	9	43	114	2	7	2	218	306	339	645	120	291	28	11	292	84	-8	+1	-1	+1	+9	0.2
2027	25	MLB CTX	LAD	92%	386	342	76	14	1	9	39	105	2	10	3	222	305	348	653	126	292	27	10	294	89	-5	+1	+2	+1	+8	0.7
2028	26	MLB CTX	LAD	92%	607	537	121	22	2	15	62	165	3	15	4	225	309	358	667	132	292	27	10	297	91	-7	+1	+2	+2	+13	1.3
2029	27	MLB CTX	LAD	92%	607	536	120	22	2	15	63	165	3	15	4	224	309	356	665	132	292	27	10	297	91	-7	+1	+2	+2	+13	1.3
2030	28	MLB CTX	LAD	92%	600	529	118	21	2	15	63	164	3	14	4	223	309	355	665	132	292	27	10	296	90	-7	+1	+2	+2	+13	1.1
2031	29	MLB CTX	LAD	92%	395	348	77	14	1	9	42	109	2	9	2	221	309	345	654	124	291	28	11	294	89	-5	+1	+0	+1	+9	0.6
2032	30	MLB CTX	LAD	92%	386	340	74	13	1	9	41	107	2	8	2	218	305	341	647	124	289	28	11	291	87	-6	+1	-0	+1	+8	0.4
2033	31	MLB CTX	LAD	92%	373	329	71	13	1	8	39	105	2	7	2	216	303	334	637	119	287	28	10	287	84	-7	+1	-1	+1	+8	0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3461	3054	674	121	11	82	361	958	18	79	21	221	307	348	655	127	291	28	10	294	85	-48	+7	+9	+14	+75	5.9
/ 162G	—	A+C		—	650	574	126	23	2	15	68	180	3	15	4	220	305	345	650	125	291	28	10	294	85	-9	+1	+2	+3	+14	1.1
Career	—	MLE		—	5373	4737	1039	200	21	123	549	1544	46	169	38	219	306	348	655	129	295	29	10	294	85	-51	+9	+10	+15	+81	6.5
/ 162G	—	MLE		—	650	573	126	24	3	15	66	187	6	20	5	220	307	351	658	131	296	29	10	294	85	-9	+1	+2	+3	+14	1.1

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
#2Luis 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
#3Sean Rodríguezlast yr '19 career totals — 11 seasons, 2,871 PA	4.3	2,871	79	42	226	302	380	+10	+16	8.1	8.5
/162	664	18	10	+2.3	+3.7	1.9	pk7: 9
#4Gordon 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.1	4,052	91	91	225	308	352	+14	+14	7.9	7.6
/162	664	15	15	+2.4	+2.2	1.3	pk7: 7
#5Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#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
Alex Freeland (OGILVIE)	24	39→43	50→48	50→48	60	221/304/341	120	294	7	9	27%	10%	85	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Nick Franklin 2015 · MLB	24	47→49	45→50	50	49	231/299/355	124	292	12	12	25%	9%	86	+0.3	219/279/350	131	276	14	13	25%	7%	77	-0.3	209/267/343	134	259	14	14	25%	7%	69	-0.5
✕Ben Davis 2001 · MLB	24	46→49	47→50	45→40	51	232/303/366	134	284	14	8	23%	9%	90	+0.6	240/320/372	132	295	14	5	22%	10%	98	+1.2	238/317/368	130	292	14	3	22%	10%	90	+0.4
✕Corey Joyce 2023 · AAA	24	43	46→40	49→50	48	212/311/342	130	291	14	11	30%	10%	88	+0.5	210/308/308	98	303	8	14	30%	10%	80	-0.2	211/297/302	91	294	9	15	29%	9%	71	-0.5
✕Max Moroff 2018 · MLB	25	45→55	46→45	44→50	51	223/306/353	130	297	14	9	28%	10%	88	+0.5	205/292/342	137	277	15	8	30%	10%	81	-0.1	181/273/307	126	240	14	7	29%	11%	63	-0.6
✕Tim Raines Jr. 2004 · MLB	24	44→54	44→50	53→60	46	217/284/340	123	275	11	11	25%	7%	77	-0.3	233/275/333	100	299	7	25	23%	5%	71	-0.8	262/295/396	135	322	13	32	23%	4%	89	+0.4
✕Shed Long Jr. 2020 · MLB	24	48→49	48→50	47→50	44	235/295/378	143	313	15	10	29%	7%	89	+0.5	219/282/354	135	300	14	10	30%	8%	79	-0.2	194/264/315	121	269	12	10	31%	8%	62	-0.3
✕Bryson Stott 2022 · AAA	24	50→56	45	48→55	48	241/307/369	127	322	13	10	28%	9%	92	+0.7	248/307/373	125	296	12	20	20%	8%	93	+0.8	255/321/376	121	290	12	29	16%	8%	96	+1.0
✕Luis Rengifo 2021 · MLB	24	48→56	43→55	48→55	52	230/308/348	118	283	10	14	22%	9%	88	+0.4	247/298/399	152	283	17	11	19%	6%	95	+1.0	271/321/427	157	304	18	16	17%	6%	109	+1.5
✕Miguel Amaya 2023 · AA	24	46→41	45→50	50→40	47	220/307/345	125	312	12	6	31%	9%	87	+0.4	229/305/371	142	285	16	3	24%	7%	93	+0.8	229/300/373	144	272	16	1	22%	7%	90	+0.2
✕Colin Walsh 2014 · AA	24	47→53	44→45	52→50	51	227/300/348	121	281	10	8	22%	9%	84	+0.2	233/316/336	103	322	8	8	27%	10%	88	+0.4	220/327/339	119	312	10	7	29%	13%	91	+0.5
✕Danny Espinosa 2011 · MLB	24	45→51	50→55	50	42	229/288/386	157	295	18	17	28%	6%	89	+0.5	229/297/380	151	302	16	15	28%	7%	91	+0.7	219/300/377	158	286	20	10	29%	8%	83	+0.1
✕Yonathan Perlaza 2023 · AA	24	44→52	51→55	47→50	45	222/290/389	167	294	18	10	30%	8%	91	+0.6	234/304/400	166	305	17	12	27%	9%	99	+1.2	241/312/406	165	310	16	12	26%	9%	99	+1.2
✕Josh Smith 2023 · MLB	25	47→52	44→45	51→50	51	230/322/352	122	288	11	17	23%	9%	95	+0.9	233/322/357	124	286	12	11	22%	9%	95	+1.0	238/326/360	122	287	12	10	20%	9%	94	+0.7
✕Carlos M. Rodriguez 2006 · AAA	24	44→45	47→55	47→40	46	221/298/351	130	301	15	8	30%	9%	85	+0.2	220/278/323	103	316	12	5	32%	6%	70	-0.8	218/281/379	161	310	22	2	36%	7%	82	+0.0
✕Andre Lipcius 2023 · AAA	25	47→49	45	49→45	52	229/303/355	126	278	11	9	22%	9%	87	+0.4	225/291/354	129	281	15	7	24%	8%	82	+0.0	213/278/342	129	264	16	5	25%	7%	73	-0.5
✕Sergio Alcántara 2022 · MLB	26	46→53	43→45	51→50	52	221/307/329	108	291	11	10	26%	11%	83	+0.1	216/289/333	117	290	12	6	28%	9%	77	-0.3	202/298/288	86	277	5	8	26%	12%	68	-0.6
✕Josh VanMeter 2020 · MLB	25	46→48	48→55	50	48	232/294/384	151	280	15	15	23%	8%	91	+0.6	222/303/386	164	277	18	11	25%	10%	95	+0.9	201/305/346	145	257	16	7	27%	13%	85	+0.1
✕Andy Parrino 2012 · MLB	26	48→52	45	48→45	47	232/305/363	131	307	12	7	27%	8%	90	+0.6	216/284/312	96	297	7	7	28%	8%	70	-0.8	211/267/288	77	303	6	4	31%	6%	55	-1.1
✕Carter Kieboom 2021 · MLB	23	47→53	45→50	45	49	230/314/350	120	304	13	6	27%	9%	91	+0.6	218/307/335	117	279	14	5	25%	10%	85	+0.2	235/295/327	92	303	9	7	24%	7%	75	-0.3
✕Steven Duggar 2018 · AAA	24	50→56	44→50	48→55	46	240/305/364	123	334	11	14	30%	8%	90	+0.6	234/291/352	118	338	9	12	31%	7%	82	-0.0	242/304/376	134	346	10	15	31%	8%	88	+0.3

Career Stats + Projections

Career Comps

Career Path Comps