Akil Baddoo — OGILVIE

Akil BaddooLF Toledo Mud Hens

INJURED · Injured 60-Day (D60)

Age 27 L/L 5'11" / 216 lbs AAA HR +5%H +3% Svc 2.983S2 · Ctrl thru 2029 peak 0.7 · 2027

wRC+†93

AVG/OBP/SLG.219 / .299 / .387

PA147

HR5

SB7

K%28

BB%10

MLB%45%

Scouting · now → future

HIT

55→55

PWR

55→55

SPD

60→60

EYE

54↗60

trajectory · 10 yrs

0.7peak

2027

Contract

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

Status Pre-Arb SUPER-2

MLB Debut 2021

Service 2.983 yrs.days

Team Control Through 2029

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-1	$1M	+0.2	$0.8M	+$0.0M (cut)
2027	Arb-2	$1M	+0.7	$3M	+$1M
2028	Arb-3	$2M	+0.5	$2M	+$0.3M
2029	Arb-4	$2M	+0.3	$1M	+$0.0M (cut)
Totals		$5M		$7M	+$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
2016	17	ROK	GCL Twins	128	115	13	0	1	1	11	52	1	8	1	.113	.197	.157	.353	.043	.190	41	9	.181	-3	-15	+1	+0	-1	+4	-1.2
2017	18	ROK	Elizabethton Twins	243	214	54	15	4	3	23	45	5	9	4	.252	.339	.402	.741	.150	.305	19	9	.321	104	+1	+0	+0	-3	+7	0.6
2018	19	A	Cedar Rapids Kernels	517	461	89	17	9	8	50	160	1	24	5	.193	.273	.321	.594	.128	.274	31	10	.262	59	-24	+3	+0	-6	+15	-1.2
2019	20	A+	Fort Myers Miracle	131	120	18	3	2	2	9	59	1	6	2	.150	.215	.258	.474	.108	.267	45	7	.210	19	-12	+0	+0	-1	+4	-0.9
2021	22	MLB	2 teams	479	428	107	21	5	13	48	128	0	19	4	.250	.326	.414	.739	.164	.324	27	10	.322	105	+3	+2	-4	+2	+14	1.7
2022	23	MLB	2 teams	356	316	70	11	3	5	38	95	1	16	10	.222	.307	.323	.630	.101	.300	27	11	.282	74	-10	-1	-1	-4	+10	-0.6
2023	24	MLB	2 teams	406	355	80	15	2	13	47	101	0	16	4	.225	.316	.389	.705	.163	.276	25	12	.304	91	-4	+2	-2	-4	+12	0.3
2024	25	AAA	2 teams	459	413	74	18	6	12	40	144	3	30	8	.179	.257	.339	.596	.160	.238	31	9	.263	59	-21	+3	-1	-5	+13	-1.1
2025	26	AAA	3 teams	502	447	107	19	6	15	49	139	2	28	4	.239	.317	.409	.727	.170	.310	28	10	.320	103	+2	+4	+2	-5	+14	1.6
▸ 2026 Season
2026	27	MLB	DET	147	131	29	5	2	5	14	41	1	7	1	.221	.301	.405	.706	.183	.282	28	10	.307	93	-1	+1	-0	-2	+4	0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	28	MLB 54%	DET	482	429	95	18	5	15	48	135	2	23	4	.221	.303	.392	.694	.170	.282	28	10	.306	92	-4	+3	-1	-5	+14	0.6
2028	29	MLB 65%	DET	470	418	91	17	5	14	47	133	2	22	4	.218	.300	.383	.683	.165	.281	28	10	.304	91	-5	+3	-2	-5	+13	0.4
2029	30	MLB 74%	DET	458	408	88	16	5	14	45	131	2	20	3	.216	.297	.382	.679	.167	.279	29	10	.301	88	-6	+3	-3	-5	+13	0.2
2030	31	MLB 82%	DET	443	394	84	16	4	13	44	129	2	17	3	.213	.295	.373	.669	.160	.278	29	10	.297	85	-7	+2	-3	-5	+13	-0.0
2031	32	MLB 89%	DET	424	378	80	15	4	12	42	126	1	15	2	.212	.292	.368	.660	.156	.276	30	10	.292	82	-9	+2	-4	-5	+12	-0.3
2032	33	MLB 94%	DET	394	351	72	13	4	10	39	119	1	12	1	.205	.286	.350	.637	.145	.274	30	10	.287	78	-10	+2	-5	-4	+11	-0.6
2033	34	MLB	DET	349	311	62	11	3	9	34	109	1	10	1	.199	.280	.341	.621	.141	.272	31	10	.280	73	-11	+2	-5	-4	+10	-0.8
▸ Career Totals (MLE all levels + projections)
Career	—			6388	5689	1213	230	70	164	628	1846	26	282	61	.213	.294	.365	.659	.152	.283	29	10	.292	81	-134	+32	-29	-62	+181	-1.2
/ 162G	—			650	579	123	23	7	17	64	188	3	29	6	.212	.294	.364	.659	.152	.281	29	10	.292	81	-14	+3	-3	-6	+18	-0.1

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
2016	17	ROK	GCL Twins	128	107	19	0	2	2	18	36	1	8	1	.178	.299	.271	.570	.093	.243	28	14	.268	63	-5	+1	—	—	+4	-0.1
2017	18	ROK	Elizabethton Twins	243	201	65	19	5	4	36	32	5	9	4	.323	.438	.527	.965	.204	.367	13	15	.424	183	+23	+0	—	—	+7	3.0
2018	19	A	Cedar Rapids Kernels	517	437	106	22	11	11	74	124	1	24	5	.243	.354	.419	.772	.176	.311	24	14	.343	121	+12	+3	—	—	+15	3.0
2019	20	A+	Fort Myers Miracle	131	117	25	3	3	4	12	39	1	6	2	.214	.292	.393	.685	.179	.280	30	9	.303	90	-1	+0	—	—	+4	0.3
2021	22	MLB	Detroit Tigers	461	413	107	20	7	13	45	122	0	18	4	.259	.332	.436	.768	.177	.335	26	10	.339	117	+9	+2	-4	+2	+13	2.2
2021	22	AAA	Toledo Mud Hens	18	14	2	1	0	0	4	5	0	1	0	.143	.333	.214	.548	.071	.222	28	22	.277	70	-1	+0	—	—	+1	0.0
2022	23	MLB	Detroit Tigers	225	201	41	3	2	2	24	64	0	9	6	.204	.289	.269	.558	.065	.289	28	11	.261	58	-11	-1	-1	-4	+6	-1.0
2022	23	AAA	Toledo Mud Hens	131	110	33	9	2	3	19	26	1	7	4	.300	.408	.500	.908	.200	.366	20	15	.399	163	+9	-0	—	—	+4	1.3
2023	24	MLB	Detroit Tigers	357	312	68	13	1	11	42	89	0	14	3	.218	.311	.372	.683	.154	.268	25	12	.306	93	-3	+2	-2	-4	+10	0.2
2023	24	AAA	Toledo Mud Hens	49	40	11	3	1	1	8	10	0	2	1	.275	.396	.475	.871	.200	.333	20	16	.379	148	+3	+0	—	—	+1	0.4
2024	25	MLB	Detroit Tigers	82	73	10	2	2	2	8	27	0	1	0	.137	.222	.301	.524	.164	.178	33	10	.234	37	-6	+0	-1	-5	+2	-0.9
2024	25	AAA	Toledo Mud Hens	377	323	77	21	5	9	48	100	3	29	8	.238	.341	.418	.759	.180	.315	27	13	.338	117	+7	+3	—	—	+11	2.1
2025	26	MLB	Detroit Tigers	18	17	2	1	0	0	1	5	0	1	0	.118	.167	.176	.343	.059	.167	28	6	.160	-19	-2	+0	+2	-5	+1	-0.6
2025	26	AAA	Toledo Mud Hens	457	385	108	21	6	15	68	112	0	25	4	.281	.389	.483	.872	.203	.355	25	15	.383	151	+26	+3	—	—	+13	4.4
2025	26	A	Lakeland Flying Tigers	27	23	6	0	0	1	2	5	2	2	0	.261	.370	.391	.762	.130	.294	19	7	.351	127	+1	+0	—	—	+1	0.2
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			1143	1016	228	39	12	28	120	307	0	43	13	.224	.306	.369	.675	.145	.292	27	10	.303	90	-13	+3	-6	-17	+32	0.0

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
Akil Baddoo (OGILVIE)	27	55	55	60	60	.219/.299/.387	.167	.282	5	7	28%	10%	93	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jake Fraley 2022 · MLB	27	46	53→55	53→55	51	.234/.321/.411	.177	.299	21	21	28%	10%	108	+2.3	.248/.334/.408	.160	.301	20	21	23%	11%	113	+2.6	.257/.332/.404	.146	.303	17	26	20%	9%	104	+1.2
✕Chris Dickerson 2009 · MLB	27	50→55	49→50	59→60	44	.238/.308/.394	.157	.343	15	25	33%	8%	98	+1.6	.251/.326/.378	.127	.351	10	26	28%	10%	101	+1.8	.246/.321/.390	.144	.339	13	22	29%	9%	100	+1.0
✕Eric Patterson 2010 · MLB	27	50→56	44→50	61→60	47	.245/.298/.372	.128	.299	11	30	22%	7%	87	+0.8	.223/.281/.354	.131	.284	11	28	24%	7%	76	+0.0	.201/.266/.320	.119	.261	9	26	26%	8%	58	-0.5
●Michael Saunders 2014 · MLB	27	47→52	51→55	53→55	50	.238/.313/.406	.167	.299	18	18	26%	10%	103	+1.9	.246/.326/.414	.168	.313	18	10	25%	10%	111	+2.5	.237/.311/.408	.171	.296	19	3	26%	9%	98	+1.1
✕Tyler Greene 2012 · MLB	28	49→51	48→50	59→55	44	.239/.309/.382	.143	.320	15	26	29%	7%	95	+1.4	.231/.286/.369	.138	.322	14	19	31%	6%	82	+0.5	.224/.268/.346	.121	.323	11	13	33%	5%	64	-0.5
✕Phillip Ervin 2019 · MLB	27	46→52	46→50	54→55	46	.227/.295/.361	.133	.280	14	24	24%	7%	84	+0.6	.231/.302/.374	.143	.296	14	16	26%	8%	90	+1.0	.220/.291/.371	.151	.284	16	16	27%	8%	82	+0.3
✕Luis González 2023 · MLB	27	48→50	46→45	52→50	49	.236/.310/.364	.128	.299	14	18	25%	9%	91	+1.1	.235/.308/.352	.117	.309	10	18	25%	8%	87	+0.8	.219/.300/.302	.083	.281	4	28	22%	9%	68	-0.1
✕Josh Rojas 2021 · MLB	27	47→55	47→50	54→55	50	.232/.300/.371	.140	.278	13	25	22%	8%	89	+0.9	.252/.325/.380	.128	.318	12	17	23%	10%	101	+1.8	.254/.328/.372	.118	.320	10	18	22%	10%	95	+1.1
✕Derek Fisher 2021 · MLB	27	43→51	53→55	52→55	47	.219/.303/.390	.171	.312	21	15	35%	10%	95	+1.4	.208/.277/.346	.138	.302	15	8	34%	8%	72	-0.2	.124/.199/.239	.115	.190	14	0	42%	8%	10	-0.8
✕Michael A. Taylor 2018 · MLB	27	47→51	51→55	54→60	41	.235/.285/.392	.157	.319	19	23	32%	6%	88	+0.9	.227/.282/.382	.155	.318	16	25	32%	7%	84	+0.6	.236/.294/.379	.143	.303	19	14	28%	7%	86	+0.6
✕Justin Maxwell 2010 · MLB	26	43→45	52→60	59→60	44	.222/.292/.385	.163	.301	20	30	32%	8%	89	+1.0	.220/.301/.384	.164	.319	19	26	34%	10%	93	+1.3	.221/.295/.429	.208	.301	26	17	34%	9%	97	+0.7
●Nate McLouth 2008 · MLB	26	51→55	49→60	59→60	49	.252/.320/.406	.154	.289	15	27	19%	7%	106	+2.2	.254/.339/.443	.189	.278	20	20	17%	10%	124	+3.4	.244/.335/.425	.181	.264	20	19	16%	10%	112	+2.4
✕Roger Bernadina 2011 · MLB	27	55→64	45	59→60	48	.266/.322/.395	.130	.323	12	26	21%	7%	103	+1.9	.242/.306/.370	.128	.296	13	26	22%	7%	91	+1.1	.228/.296/.347	.119	.323	12	20	31%	8%	78	+0.1
✕Kevin Thompson 2007 · MLB	27	50→53	46→50	56→60	49	.244/.311/.388	.144	.294	12	25	21%	8%	98	+1.6	.236/.300/.359	.123	.292	10	28	21%	8%	85	+0.7	.238/.305/.351	.112	.298	8	38	21%	8%	81	+0.2
●TJ Friedl 2023 · MLB	27	47→53	48→50	55	48	.234/.303/.384	.149	.269	15	16	19%	7%	93	+1.3	.244/.323/.394	.150	.276	16	19	17%	8%	105	+2.1	.246/.337/.381	.136	.276	15	18	16%	10%	103	+1.8
✕Óscar Mercado 2022 · MLB	27	45→53	48→55	55→60	48	.225/.290/.373	.147	.260	15	20	20%	7%	85	+0.7	.223/.285/.376	.153	.261	16	23	21%	7%	84	+0.6	.217/.277/.380	.163	.251	19	28	22%	6%	79	+0.2
✕Cade Marlowe 2023 · AAA	26	46→49	54→55	57→60	41	.230/.297/.412	.182	.326	22	24	35%	8%	98	+1.6	.214/.284/.354	.140	.321	15	34	35%	8%	78	+0.2	.199/.275/.320	.121	.305	12	42	36%	9%	64	-0.5
●Josh Lowe 2023 · MLB	25	50→57	51→55	59→60	43	.241/.304/.407	.165	.348	18	25	34%	8%	99	+1.7	.250/.306/.420	.170	.340	18	29	30%	7%	104	+2.0	.246/.303/.412	.166	.320	18	33	28%	7%	96	+1.1
✕Clete Thomas 2011 · MLB	27	47→53	46→50	57→55	47	.227/.301/.361	.134	.309	12	26	29%	9%	87	+0.8	.213/.267/.349	.136	.305	15	19	33%	6%	69	-0.4	.206/.262/.332	.127	.276	12	14	29%	7%	59	-0.7
✕Blake Tekotte 2012 · MLB	25	44→46	50	52→55	47	.225/.293/.380	.155	.283	17	23	27%	8%	89	+0.9	.203/.260/.335	.132	.279	13	17	31%	6%	63	-0.9	.194/.258/.314	.119	.261	10	10	28%	6%	53	-0.8

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)