Anthony Alford — OGILVIE

Anthony AlfordLF Chattanooga Lookouts

Age 32 R/R 6'0" / 215 lbs AA HR +9%K -4% Svc 8.000 · Ctrl thru 2026

wRC+†74

AVG/OBP/SLG.218 / .282 / .342

PA200

HR4

K%31

BB%7

MLB%2%

Scouting · now → future

PWR

58→58

SPD

76→76

EYE

49→49

trajectory · 10 yrs

-0.3peak

2026

Contract

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

Status FA

MLB Debut 2018

Service 8.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$1M	—	—	—
Totals		$1M		$-1M	-$2M

Career Projections (MLE)

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	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
2012	18	ROK	GCL Blue Jays	20	19	3	0	0	1	1	6	0	4	0	.158	.200	.316	.516	.158	.167	30	5	.182	-2	-2	+1	+0	-0	+1	-0.1
2013	19	ROK	GCL Blue Jays	30	24	5	2	1	0	4	9	1	2	0	.208	.345	.375	.720	.167	.333	30	13	.257	55	-2	+0	+0	-0	+1	-0.1
2014	20	INTL	3 teams	219	201	38	3	0	5	12	104	6	14	2	.189	.256	.279	.534	.090	.359	47	5	.231	35	-16	+2	+0	-2	+6	-1.0
2015	21	A+	2 teams	487	432	101	19	5	3	48	150	4	27	7	.234	.316	.322	.638	.088	.348	31	10	.289	79	-11	+3	+0	-5	+14	-0.0
2016	22	A+	2 teams	487	432	72	15	1	9	46	213	5	26	10	.167	.255	.269	.523	.102	.294	44	9	.241	43	-32	+1	+0	-5	+14	-2.2
2017	23	AA	3 teams	425	380	99	16	0	5	32	94	8	27	6	.261	.331	.342	.673	.082	.330	22	8	.305	92	-4	+3	+0	-5	+12	0.7
2018	24	AAA	3 teams	463	423	86	19	1	4	26	156	12	18	8	.203	.269	.281	.550	.078	.309	34	6	.243	44	-29	+0	+1	-5	+13	-2.1
2019	25	AAA	3 teams	364	332	68	14	4	7	25	130	6	24	8	.205	.273	.334	.607	.130	.313	36	7	.266	62	-16	+2	+0	-4	+10	-0.7
2020	26	MLB	Pittsburgh Pirates	29	28	6	0	1	2	1	8	0	3	0	.214	.241	.500	.741	.286	.222	28	3	.346	123	+1	+1	-2	+0	+1	0.0
2021	27	AAA	2 teams	374	336	78	15	1	15	31	157	7	14	10	.232	.310	.417	.727	.185	.384	42	8	.315	99	-0	-1	+2	-4	+11	0.7
2022	28	AAA	Columbus Clippers	44	40	6	0	0	3	4	17	0	2	0	.150	.227	.375	.602	.225	.150	39	9	.273	67	-2	+0	-1	-0	+1	-0.1
2024	30	AA	2 teams	69	63	9	2	0	1	6	39	0	1	0	.143	.217	.222	.440	.079	.348	57	9	.209	18	-6	+0	+0	-1	+2	-0.5
▸ 2026 Season
2026	32	MLB	CIN	200	182	40	8	1	4	14	62	2	4	1	.220	.283	.341	.623	.121	.305	31	7	.282	74	-6	+0	-1	-2	+6	-0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	33	MLB 9%	CIN	170	154	33	6	1	3	12	54	2	3	1	.214	.280	.325	.604	.110	.304	32	7	.277	70	-6	+0	-5	-2	+5	-0.8
2028	34	MLB 19%	CIN	129	118	25	5	1	2	9	42	1	2	0	.212	.273	.322	.595	.110	.302	33	7	.271	65	-5	+0	-5	-1	+4	-0.8
▸ Career Totals (MLE all levels + projections)
Career	—			3510	3164	669	124	17	64	271	1241	54	171	53	.211	.285	.322	.607	.111	.323	35	8	.271	66	-136	+13	-10	-37	+99	-7.3
/ 162G	—			650	586	124	23	3	12	50	230	10	32	10	.212	.285	.323	.607	.111	.323	35	8	.271	66	-25	+2	-2	-7	+18	-1.4

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2012	18	ROK	GCL Blue Jays	20	18	3	0	0	1	2	4	0	4	0	.167	.250	.333	.583	.167	.154	20	10	.264	60	-1	+1	—	—	+1	0.0
2013	19	ROK	GCL Blue Jays	30	22	5	2	1	0	6	6	1	2	0	.227	.414	.409	.823	.182	.312	20	20	.364	137	+1	+0	—	—	+1	0.3
2014	20	A	Lansing Lugnuts	25	25	8	1	0	1	0	8	0	4	0	.320	.320	.480	.800	.160	.438	32	0	.352	127	+1	+1	—	—	+1	0.2
2014	20	ROK	Bluefield Blue Jays	35	29	6	0	0	1	5	13	1	1	0	.207	.343	.310	.653	.103	.333	37	14	.309	95	-0	+0	—	—	+1	0.1
2014	20	INTL	Canberra Cavalry	159	135	28	4	1	3	19	46	5	9	2	.207	.327	.319	.646	.111	.291	29	12	.302	89	-2	+1	—	—	+5	0.4
2015	21	A+	Dunedin Blue Jays	255	225	68	11	6	3	28	49	1	15	6	.302	.382	.444	.826	.142	.374	19	11	.368	140	+11	+1	—	—	+7	2.0
2015	21	A	Lansing Lugnuts	232	188	55	14	1	1	39	60	3	12	1	.293	.422	.394	.815	.101	.419	26	17	.372	143	+11	+2	—	—	+7	2.0
2016	22	A+	Dunedin Blue Jays	401	339	80	17	2	9	53	117	5	18	6	.236	.348	.378	.725	.142	.327	29	13	.328	109	+4	+1	—	—	+11	1.7
2016	22	INTL	Mesa Solar Sox	86	75	19	3	1	3	11	24	0	8	4	.253	.349	.440	.789	.187	.333	28	13	.352	127	+3	+0	—	—	+2	0.5
2017	23	AA	New Hampshire Fisher Cats	289	245	76	14	0	5	35	45	6	18	3	.310	.409	.429	.838	.118	.360	16	12	.376	146	+15	+2	—	—	+8	2.6
2017	23	A+	Dunedin Blue Jays	22	21	3	0	0	0	0	8	1	1	0	.143	.182	.143	.325	.000	.231	36	0	.157	-22	-3	+0	—	—	+1	-0.2
2017	23	INTL	Charros de Jalisco	114	105	37	6	2	2	6	27	1	8	3	.352	.393	.505	.898	.152	.449	24	5	.390	157	+7	+0	—	—	+3	1.1
2018	24	MLB	Toronto Blue Jays	21	19	2	0	0	0	2	9	0	1	0	.105	.190	.105	.296	.000	.200	43	10	.153	-25	-3	+0	+1	-5	+1	-0.7
2018	24	AAA	Buffalo Bisons	417	375	90	22	1	5	30	112	10	17	7	.240	.313	.344	.657	.104	.327	27	7	.299	87	-6	+1	—	—	+12	0.6
2018	24	A+	Dunedin Blue Jays	25	20	4	1	0	0	3	8	2	0	1	.200	.360	.250	.610	.050	.333	32	12	.302	90	-0	-0	—	—	+1	0.0
2019	25	MLB	Toronto Blue Jays	30	28	5	0	0	1	1	11	1	2	0	.179	.233	.286	.519	.107	.250	37	3	.238	40	-2	+0	+0	-4	+1	-0.4
2019	25	AAA	Buffalo Bisons	319	282	73	16	3	7	31	94	5	22	8	.259	.343	.411	.754	.152	.365	29	10	.338	117	+6	+1	—	—	+9	1.7
2019	25	ROK	GCL Blue Jays	15	13	5	2	1	1	2	1	0	0	0	.385	.467	.923	1.390	.538	.364	7	13	.571	295	+3	+0	—	—	+0	0.4
2020	26	MLB	Pittsburgh Pirates	29	28	6	0	1	2	1	8	0	3	0	.214	.241	.500	.741	.286	.222	28	3	.317	101	+0	+1	-2	+0	+1	-0.0
2021	27	MLB	Pittsburgh Pirates	148	133	31	6	1	5	12	58	3	5	6	.233	.311	.406	.717	.173	.371	39	8	.321	104	+1	-1	+2	-4	+4	0.1
2021	27	AAA	Indianapolis Indians	226	189	58	12	0	14	33	78	4	9	4	.307	.420	.593	1.013	.286	.454	35	15	.440	195	+24	+0	—	—	+6	3.1
2022	28	AAA	Columbus Clippers	44	38	7	0	0	4	6	15	0	2	0	.184	.295	.500	.795	.316	.158	34	14	.346	123	+1	+0	—	—	+1	0.3
2024	30	AA	Chattanooga Lookouts	41	36	8	2	0	1	5	18	0	0	0	.222	.317	.361	.678	.139	.412	44	12	.309	95	-0	+0	—	—	+1	0.1
2024	30	INTL	Yaquis de Obregon	28	26	3	0	0	1	2	11	0	1	0	.115	.179	.231	.409	.115	.143	39	7	.189	3	-3	+0	—	—	+1	-0.2
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			228	208	44	6	2	8	16	86	4	11	6	.212	.281	.375	.656	.163	.316	38	7	.294	83	-4	-0	+1	-13	+6	-1.0

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
Anthony Alford (OGILVIE)	32	—	58	76	49	.218/.282/.342	.124	.305	4	4	31%	7%	74	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Kristopher Negrón 2018 · MLB	32	44→50	43→45	54→55	40	.217/.271/.330	.113	.283	11	17	27%	5%	66	-0.6	.228/.288/.354	.126	.327	14	15	33%	6%	79	+0.3	.226/.291/.350	.124	.335	15	14	35%	7%	75	+0.0
✕Juan Carlos Perez 2019 · AAA	32	43→53	43→45	55	38	.215/.251/.331	.116	.278	10	20	26%	4%	56	-1.3	.250/.306/.372	.122	.304	11	14	21%	7%	92	+1.2	.266/.326/.387	.121	.321	11	13	19%	7%	99	+1.3
●Wynton Bernard 2022 · AAA	31	42→52	42→45	59→60	41	.206/.258/.310	.104	.274	9	26	28%	6%	55	-1.4	.242/.290/.372	.130	.299	13	32	23%	6%	84	+0.6	.251/.299/.377	.127	.306	12	37	21%	6%	85	+0.5
✕Christian Zazueta 2017 · AAA	32	49→55	46→50	58→60	37	.245/.268/.375	.130	.287	14	27	20%	2%	76	+0.0	.233/.257/.339	.106	.274	11	28	19%	2%	61	-1.0	.231/.256/.320	.088	.268	8	27	17%	2%	52	-1.0
✕John Andreoli 2021 · MLB	31	45→55	43→45	54→60	48	.215/.299/.331	.117	.315	10	16	32%	10%	78	+0.2	.182/.279/.319	.137	.314	16	17	42%	12%	68	-0.5	.142/.255/.275	.133	.243	17	21	45%	13%	45	-1.1
✕Pete Orr 2011 · MLB	32	46	43→45	57→55	41	.227/.271/.347	.121	.273	9	21	21%	4%	69	-0.4	.227/.269/.331	.104	.279	8	21	21%	4%	64	-0.8	.240/.268/.331	.091	.307	5	16	23%	3%	59	-0.7
✕Bobby Smith 2006 · AAA	32	48→49	45→50	53→50	44	.239/.288/.361	.122	.286	13	11	22%	6%	80	+0.4	.230/.273/.361	.131	.307	14	11	29%	5%	74	-0.1	.214/.247/.354	.141	.308	14	7	35%	4%	58	-0.4
✕Anthony Seratelli 2014 · AAA	31	47→48	45	57→55	49	.231/.301/.349	.118	.288	13	22	24%	8%	83	+0.6	.229/.301/.344	.115	.306	11	17	27%	9%	82	+0.5	.221/.303/.322	.101	.312	8	14	29%	10%	75	-0.0
✕Jack Reinheimer 2023 · AAA	31	43→51	40	55	40	.209/.262/.297	.088	.290	8	20	30%	6%	53	-1.5	.186/.232/.268	.082	.274	7	16	33%	5%	33	-2.9	.143/.180/.193	.050	.195	3	12	28%	4%	-11	-1.3
✕Jason Repko 2012 · MLB	31	45→48	46→50	53→55	44	.227/.283/.349	.122	.282	14	21	25%	6%	76	+0.0	.217/.276/.349	.132	.279	14	14	27%	6%	73	-0.1	.190/.253/.336	.146	.240	15	10	27%	6%	56	-0.5
✕Tim Torres 2016 · AAA	32	47→50	44→45	55	42	.228/.288/.352	.124	.323	11	16	32%	7%	78	+0.2	.253/.316/.389	.136	.334	14	19	26%	8%	99	+1.7	.265/.331/.402	.136	.345	14	23	26%	9%	108	+1.0
✕Justin Leone 2009 · AAA	32	40→41	50	52→55	50	.210/.290/.362	.152	.264	18	17	27%	10%	82	+0.5	.193/.264/.323	.130	.271	14	14	32%	8%	61	-1.0	.130/.199/.223	.093	.194	9	6	37%	8%	8	-1.9
✕Anton French 2006 · AAA	31	47	46→55	59→60	38	.232/.267/.371	.139	.296	13	18	26%	4%	74	-0.1	.240/.290/.397	.157	.289	17	23	22%	7%	91	+1.1	.259/.313/.441	.182	.300	21	30	21%	7%	110	+1.5
✕Elliot Johnson 2015 · MLB	31	43→53	41→50	59→60	45	.211/.268/.311	.100	.275	8	24	26%	7%	59	-1.1	.209/.268/.327	.118	.277	10	14	27%	7%	63	-0.8	.191/.248/.306	.115	.256	9	9	28%	6%	49	-0.5
✕Hernán Pérez 2023 · MLB	32	47→56	45→50	55	40	.234/.275/.354	.120	.294	14	22	26%	5%	73	-0.1	.224/.270/.359	.135	.284	16	17	26%	6%	72	-0.2	.208/.257/.346	.139	.257	18	14	27%	6%	63	-0.4
✕George Lombard 2007 · MLB	31	45→44	50	58→55	43	.227/.298/.386	.160	.309	18	24	31%	8%	92	+1.2	.227/.292/.366	.139	.321	15	23	32%	8%	84	+0.6	.220/.287/.329	.109	.314	12	32	32%	8%	69	-0.1
✕Willy Taveras 2015 · AAA	33	47→57	43→45	59→65	44	.229/.283/.340	.111	.277	10	26	21%	6%	73	-0.1	.245/.297/.358	.113	.297	10	24	20%	5%	84	+0.6	.262/.314/.377	.115	.318	10	22	20%	4%	92	+0.8
✕Charles Gipson 2005 · MLB	32	49→56	46→40	55	53	.239/.317/.379	.139	.281	12	15	19%	9%	98	+1.6	.247/.296/.339	.092	.316	6	18	22%	5%	78	+0.2	.258/.301/.329	.071	.335	2	22	22%	4%	72	-0.1
✕Denis Phipps 2016 · AAA	31	43→53	43→50	52→50	42	.210/.266/.322	.111	.275	10	13	27%	6%	61	-1.0	.211/.250/.368	.157	.291	19	11	34%	4%	67	-0.5	.178/.205/.355	.177	.231	24	9	36%	3%	40	-0.7
✕Jayson Nix 2014 · MLB	31	45→49	43→55	53→55	45	.220/.287/.336	.116	.289	11	17	27%	7%	74	-0.1	.202/.255/.294	.092	.265	8	11	26%	6%	50	-1.8	.171/.213/.240	.070	.223	6	4	26%	5%	15	-1.7

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)