Bligh Madris — OGILVIE

Bligh MadrisOF Memphis Redbirds

Age 30 L/R 6'1" / 208 lbs AAA HR -7%K -4% Svc 4.000 · Ctrl thru 2027

wRC+†68

AVG/OBP/SLG.203 / .277 / .358

PA293

HR9

SB5

K%29

BB%9

MLB%10%

Scouting · now → future

HIT

40→40

PWR

50→50

SPD

45→45

EYE

49↗55

trajectory · 10 yrs

-0.1peak

2026

Contract

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

Status Arb-2

MLB Debut 2022

Service 4.000 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-2	$0.4M	—	—	—
2027	Arb-3	$0.7M	—	—	—
Totals		$-6M		$-6M	+$0.0M

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
2018	22	A+	Bradenton Marauders	411	376	73	10	4	7	22	127	3	3	4	.194	.244	.298	.542	.104	.265	31	5	.238	40	-28	-1	+0	-7	+12	-2.5
2019	23	AA	Altoona Curve	514	475	104	20	1	9	29	133	2	3	4	.219	.267	.322	.589	.103	.282	26	6	.258	56	-26	-1	+0	-9	+15	-2.2
2020	24	INTL	Brisbane Bandits	98	85	22	5	0	3	12	15	0	1	0	.259	.351	.424	.774	.165	.279	15	12	—	—	—	—	+0	-2	—	—
2021	25	AAA	3 teams	486	440	100	25	1	8	33	112	5	5	4	.227	.289	.343	.632	.116	.281	23	7	.280	72	-15	-1	+0	-9	+14	-1.1
2022	26	AAA	3 teams	513	472	109	27	3	11	36	135	1	9	4	.231	.287	.371	.658	.140	.298	26	7	.287	78	-13	+0	-1	-5	+15	-0.4
2023	27	AAA	2 teams	486	427	82	10	5	13	49	155	2	12	6	.192	.278	.330	.608	.138	.260	32	10	.266	62	-21	+0	-1	-9	+14	-1.7
2024	28	AAA	2 teams	504	455	88	18	2	22	42	150	3	21	5	.193	.266	.387	.653	.193	.230	30	8	.283	75	-14	+2	+2	-9	+14	-0.5
2025	29	INTL	3 teams	531	475	103	20	2	17	45	145	5	13	7	.217	.291	.375	.666	.158	.270	27	8	.284	75	-15	-0	+0	-9	+15	-1.0
▸ 2026 Season (actual · ROS · total)
2026	30	AAA	Memphis Redbirds	57	53	9	2	0	2	1	17	2	0	0	.170	.214	.321	.535	.151	.200	30	2	.254	53	-3	+0	+0	-1	+2	-0.3
ROS	30	MLB	STL	236	213	43	8	1	8	19	70	2	5	1	.202	.274	.362	.635	.160	.254	30	8	.280	72	-7	+1	-0	-4	+7	-0.5
TOT	30	MLB	STL	293	266	52	10	1	10	20	87	4	5	1	.195	.262	.353	.615	.158	.246	30	7	.275	68	-10	+1	-0	-5	+8	-0.7
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	31	MLB 20%	STL	278	251	50	10	1	9	23	73	2	4	1	.199	.272	.355	.626	.155	.242	26	8	.284	75	-8	+0	-3	-5	+8	-0.8
2028	32	MLB 33%	STL	259	234	46	9	1	8	21	69	2	3	1	.197	.268	.346	.615	.150	.240	27	8	.279	72	-8	+0	-4	-5	+7	-0.9
2029	33	MLB 43%	STL	229	206	40	8	1	7	19	63	2	2	0	.194	.269	.345	.613	.150	.238	28	8	.273	67	-8	+0	-4	-4	+6	-1.0
2030	34	MLB 57%	STL	187	169	33	6	1	6	15	53	1	1	0	.195	.265	.349	.614	.154	.236	28	8	.267	62	-8	+0	-5	-3	+5	-1.1
▸ Career Totals (MLE all levels + projections)
Career	—			4732	4278	893	176	23	128	365	1300	30	82	37	.209	.276	.350	.626	.142	.264	27	8	.268	63	-198	+2	-16	-81	+134	-16.3
/ 162G	—			650	588	123	24	3	18	50	179	4	11	5	.209	.276	.352	.628	.143	.264	28	8	.268	63	-27	+0	-2	-11	+18	-2.2

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
2018	22	A+	Bradenton Marauders	411	369	88	12	5	9	28	88	3	3	4	.238	.297	.371	.668	.133	.283	21	7	.292	82	-8	-1	—	—	+12	0.2
2019	23	AA	Altoona Curve	514	457	119	26	2	8	43	99	2	3	4	.260	.324	.379	.703	.118	.314	19	8	.311	96	-2	-1	—	—	+15	1.2
2020	24	INTL	Brisbane Bandits	98	85	22	5	0	3	12	15	0	1	0	.259	.351	.424	.774	.165	.279	15	12	.344	121	+2	+0	—	—	+3	0.5
2021	25	AAA	Indianapolis Indians	385	334	91	25	1	9	40	70	4	2	4	.272	.357	.434	.791	.162	.314	18	10	.348	124	+11	-1	—	—	+11	2.1
2021	25	AA	Altoona Curve	33	26	5	0	0	0	7	6	0	0	0	.192	.364	.192	.556	.000	.250	18	21	.285	76	-1	+0	—	—	+1	0.0
2021	25	INTL	Gigantes de Carolina	68	55	12	3	0	0	11	14	1	3	0	.218	.358	.273	.631	.055	.286	21	16	.300	88	-1	+1	—	—	+2	0.2
2022	26	MLB	Pittsburgh Pirates	123	113	20	7	0	1	10	31	0	2	1	.177	.244	.265	.509	.088	.235	25	8	.235	38	-9	+0	-1	-5	+3	-1.2
2022	26	AAA	Durham Bulls	334	296	88	22	4	11	33	74	1	4	2	.297	.370	.510	.880	.213	.360	22	10	.382	150	+19	+0	—	—	+9	2.9
2022	26	INTL	Sultanes de Monterrey	56	51	11	2	0	0	5	12	0	3	1	.216	.286	.255	.541	.039	.282	21	9	.254	52	-3	+0	—	—	+2	-0.1
2023	27	MLB	Houston Astros	30	26	4	1	0	0	4	7	0	0	0	.154	.267	.192	.459	.038	.211	23	13	.226	31	-2	+0	-1	-9	+1	-1.1
2023	27	AAA	Sugar Land Space Cowboys	456	378	89	10	6	15	67	115	2	12	6	.235	.353	.413	.765	.177	.291	25	15	.339	117	+9	+0	—	—	+13	2.2
2024	28	MLB	Detroit Tigers	75	67	18	3	0	1	6	20	0	0	0	.269	.324	.358	.683	.090	.362	27	8	.304	91	-1	+0	+2	-9	+2	-0.6
2024	28	AAA	Toledo Mud Hens	429	365	81	20	2	19	53	111	3	21	5	.222	.322	.444	.765	.222	.261	26	12	.335	115	+7	+2	—	—	+12	2.2
2025	29	AAA	Toledo Mud Hens	205	177	41	10	1	5	24	52	0	3	2	.232	.320	.384	.704	.153	.295	25	12	.313	98	-0	-0	—	—	+6	0.5
2025	29	A	Lakeland Flying Tigers	38	33	9	0	0	3	5	5	0	0	1	.273	.368	.545	.914	.273	.240	13	13	.399	163	+3	-0	—	—	+1	0.3
2025	29	INTL	Mexico Rojo	288	242	74	17	2	11	36	53	5	10	4	.306	.405	.529	.934	.223	.346	18	12	.405	168	+22	+0	—	—	+8	3.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			228	206	42	11	0	2	20	58	0	2	1	.204	.273	.286	.560	.083	.272	25	9	.257	54	-12	+0	-0	-23	+6	-2.9

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
Bligh Madris (OGILVIE)	30	40	50	45	55	.203/.277/.358	.155	.262	9	7	29%	9%	77	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ryan Fitzgerald 2023 · AAA	29	38→44	51→55	44→45	42	.204/.266/.370	.166	.256	18	7	28%	6%	75	-0.0	.210/.273/.363	.153	.278	16	9	29%	7%	76	+0.0	.225/.292/.365	.140	.286	14	7	25%	7%	80	+0.2
✕Daniel Palka 2022 · MLB	30	40→43	53→60	49→50	48	.215/.286/.385	.171	.264	22	6	28%	9%	87	+0.8	.225/.283/.396	.171	.284	23	5	29%	7%	89	+0.9	.215/.272/.382	.166	.269	24	2	29%	7%	75	+0.0
✕Jason Vosler 2023 · MLB	29	41→44	52→55	49→40	45	.217/.282/.379	.162	.265	21	6	27%	7%	84	+0.6	.214/.274/.387	.173	.271	22	5	29%	7%	82	+0.5	.207/.268/.386	.179	.258	24	4	30%	7%	77	+0.1
✕Brett Carroll 2013 · MLB	30	42→45	47→55	47→50	43	.215/.279/.349	.135	.272	15	11	26%	6%	75	-0.0	.208/.273/.344	.136	.278	16	11	30%	7%	71	-0.3	.183/.263/.334	.151	.230	22	11	31%	8%	60	-0.5
✕Justin Leone 2007 · MLB	30	41	47→50	43→55	46	.211/.283/.343	.132	.274	16	6	28%	8%	75	-0.0	.206/.284/.351	.145	.269	16	16	28%	9%	78	+0.2	.187/.272/.333	.146	.244	16	19	29%	10%	67	-0.4
✕Simon Pond 2006 · MLB	29	44→43	51→55	47→45	41	.226/.281/.383	.158	.300	19	9	31%	7%	84	+0.6	.223/.278/.365	.142	.303	15	6	30%	7%	78	+0.2	.215/.272/.351	.136	.291	13	3	29%	7%	71	-0.2
✕Nick Gorneault 2009 · AAA	30	43→48	49→55	46→50	43	.221/.279/.368	.147	.284	17	12	28%	7%	79	+0.3	.205/.258/.338	.133	.274	15	10	30%	6%	63	-0.9	.190/.240/.315	.125	.255	13	9	30%	6%	45	-1.4
✕Clete Thomas 2014 · MLB	30	42→52	47→50	49→55	41	.212/.266/.350	.137	.290	15	14	32%	6%	69	-0.4	.220/.282/.336	.116	.295	11	14	27%	8%	72	-0.2	.214/.281/.286	.072	.294	3	21	26%	8%	56	-0.5
✕Brandon Larson 2006 · MLB	30	43→42	49→50	45	45	.221/.292/.366	.145	.284	17	7	28%	8%	85	+0.7	.227/.277/.383	.156	.291	20	6	29%	6%	82	+0.5	.217/.262/.366	.149	.273	21	5	29%	5%	68	-0.2
✕Norel González 2023 · AAA	29	45	51→50	41→40	41	.232/.286/.392	.160	.290	19	6	27%	6%	89	+0.9	.222/.283/.362	.140	.292	16	6	29%	7%	79	+0.3	.199/.272/.321	.123	.263	15	2	29%	8%	61	-0.4
✕Sam Hilliard 2023 · MLB	29	36→46	54→55	54→55	45	.200/.277/.375	.175	.266	23	14	34%	9%	81	+0.4	.214/.286/.391	.177	.301	21	17	34%	9%	89	+0.9	.206/.276/.397	.191	.290	21	20	35%	9%	83	+0.4
✕Val Majewski 2011 · AAA	30	44→54	49→45	46→50	46	.226/.284/.369	.142	.273	17	8	24%	7%	81	+0.4	.228/.283/.343	.115	.283	11	10	22%	7%	73	-0.1	.228/.281/.323	.096	.278	6	9	19%	6%	64	-0.3
✕Abraham M. Nunez 2007 · MLB	30	45→46	47→50	44→45	49	.225/.291/.363	.138	.278	15	9	24%	9%	82	+0.5	.232/.287/.374	.142	.295	16	7	26%	7%	84	+0.6	.232/.284/.367	.135	.295	16	3	26%	6%	79	+0.1
✕Jayson Nix 2013 · MLB	30	41→49	49→55	47→55	43	.214/.276/.363	.150	.265	17	10	26%	6%	77	+0.1	.211/.272/.310	.099	.278	9	14	26%	7%	61	-1.0	.190/.245/.261	.070	.253	6	12	26%	6%	33	-1.3
✕Michael Pérez 2023 · MLB	30	34	49→50	45→40	46	.185/.257/.324	.139	.228	18	4	28%	8%	59	-1.1	.194/.268/.328	.134	.254	17	4	30%	8%	65	-0.7	.175/.254/.294	.120	.232	15	0	31%	8%	49	-0.8
✕Brad Nelson 2013 · AAA	30	43→48	51→50	44→50	48	.223/.288/.381	.157	.268	19	4	25%	8%	86	+0.8	.217/.273/.354	.137	.263	17	4	24%	7%	73	-0.1	.202/.256/.318	.116	.240	15	1	22%	6%	56	-0.8
✕Matt Skole 2019 · AAA	30	37→39	48→50	47→40	44	.197/.260/.338	.141	.252	17	4	29%	7%	64	-0.8	.206/.282/.350	.144	.283	17	4	31%	9%	76	+0.1	.193/.282/.343	.150	.260	20	0	32%	11%	75	-0.0
✕John-Ford Griffin 2009 · AAA	29	43→39	51→55	49→40	43	.223/.279/.388	.165	.277	19	5	27%	7%	84	+0.6	.221/.279/.351	.130	.294	12	7	28%	6%	75	-0.0	.205/.266/.311	.106	.289	6	7	29%	6%	57	-0.8
✕Brooks Conrad 2010 · MLB	30	37→44	50→55	52→50	42	.199/.257/.351	.151	.256	17	10	30%	7%	66	-0.6	.225/.291/.401	.176	.294	21	11	30%	8%	93	+1.3	.223/.297/.436	.213	.288	28	7	32%	9%	101	+0.6
✕D.J. Peterson 2022 · AAA	30	40→44	48→55	50→40	39	.209/.262/.347	.138	.280	16	10	31%	5%	67	-0.5	.208/.279/.374	.166	.290	21	6	34%	7%	82	+0.5	.176/.257/.344	.168	.236	23	1	35%	8%	62	-0.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)