Max Durrington — OGILVIE

Max DurringtonIF Stockton Ports

Age 19 L/R 5'9" / 165 lbs A HR -6%K -4% Svc 0.0 · Ctrl thru 2036 peak 3.0 · 2033

wRC+†67

AVG/OBP/SLG.220 / .282 / .323

PA320

HR5

SB12

K%25

BB%7

MLB%0%

Scouting · now → future

HIT

40→40

PWR

20→20

SPD

45→45

EYE

49↘35

trajectory · 10 yrs

3.0peak

2033

Contract

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Arb-3	$0.9M	+2.6	$24M	+$23M
2032	Ext / FA-deal	$0.9M	+2.9	$28M	+$27M
2033	Ext / FA-deal	$1.0M	+3.0	$30M	+$29M
2034	Ext / FA-deal	$6M	+3.0	$30M	+$24M
2035	Ext / FA-deal	$9M	+2.8	$29M	+$20M
2036	Ext / FA-deal	$13M	+2.6	$28M	+$15M
Totals		$31M		$169M	+$138M

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
2024	17	INTL	Brisbane Bandits	75	67	15	3	1	0	5	18	1	5	1	.224	.288	.299	.586	.075	.294	24	7	—	—	—	—	+0	+0	—	—
2025	18	A	3 teams	494	447	85	10	1	2	38	117	4	19	4	.190	.260	.230	.490	.040	.252	24	8	.223	29	-40	+2	+0	+0	+14	-2.4
▸ 2026 Season (actual · ROS · total)
2026	19	A	Stockton Ports	61	55	13	0	1	0	6	19	0	5	0	.236	.311	.273	.584	.036	.361	31	10	.255	53	-3	+1	+0	+0	+2	-0.0
ROS	19	MLB	OAK	259	236	53	8	2	4	19	66	2	7	1	.225	.288	.326	.614	.102	.294	25	7	.277	70	-9	+1	+0	+0	+7	-0.0
TOT	19	MLB	OAK	320	291	66	8	3	4	25	85	2	12	1	.227	.292	.316	.609	.089	.305	27	8	.273	67	-12	+2	+0	+0	+9	-0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	20	MLB 11%	OAK	403	364	87	14	3	7	32	91	4	10	1	.239	.307	.352	.659	.113	.297	23	8	.298	86	-6	+2	+0	+0	+11	0.7
2028	21	MLB 28%	OAK	489	439	107	17	3	11	42	106	5	11	2	.244	.317	.371	.688	.128	.298	22	9	.310	95	-3	+1	+0	+0	+14	1.3
2029	22	MLB 48%	OAK	548	487	121	20	3	13	50	116	6	12	2	.248	.326	.382	.708	.133	.298	21	9	.319	102	+1	+2	+0	+0	+16	1.9
2030	23	MLB 65%	OAK	588	521	131	21	4	15	56	121	6	12	2	.251	.331	.393	.725	.142	.298	21	10	.324	106	+4	+2	+0	+0	+17	2.3
2031	24	MLB 82%	OAK	614	543	138	22	4	17	60	125	6	11	1	.254	.335	.403	.738	.149	.298	20	10	.329	110	+7	+2	+0	+0	+17	2.6
2032	25	MLB	OAK	629	555	141	23	4	17	62	127	7	11	1	.254	.337	.402	.738	.148	.299	20	10	.332	112	+9	+2	+0	+0	+18	2.9
2033	26	MLB	OAK	635	559	143	23	4	18	64	128	7	11	1	.256	.340	.408	.748	.152	.299	20	10	.333	113	+10	+2	+0	+0	+18	3.0
2034	27	MLB	OAK	634	557	143	23	4	18	65	128	7	10	1	.257	.342	.409	.751	.153	.299	20	10	.333	113	+10	+2	+0	+0	+18	3.0
2035	28	MLB	OAK	629	552	141	23	4	17	65	129	7	10	1	.255	.341	.404	.745	.149	.299	21	10	.332	112	+9	+2	-1	+0	+18	2.8
2036	29	MLB	OAK	619	544	138	22	4	17	64	128	6	9	0	.254	.339	.403	.741	.149	.298	21	10	.330	111	+8	+2	-1	+0	+18	2.6
2037	30	MLB	OAK	608	534	133	21	4	16	63	128	6	8	0	.249	.335	.393	.728	.144	.297	21	10	.327	108	+6	+2	-2	+0	+17	2.3
2038	31	MLB	OAK	594	522	129	21	3	15	61	128	6	7	0	.247	.333	.385	.718	.138	.296	22	10	.323	106	+4	+1	-3	+0	+17	2.0
2039	32	MLB	OAK	575	505	122	19	3	14	59	127	6	6	0	.242	.328	.374	.702	.133	.294	22	10	.319	102	+1	+1	-4	+0	+16	1.6
2040	33	MLB	OAK	546	480	115	18	3	13	56	124	5	6	0	.240	.325	.371	.696	.131	.293	23	10	.313	98	-1	+1	-4	+0	+15	1.1
2041	34	MLB	OAK	498	439	103	16	3	11	51	117	5	6	0	.235	.321	.360	.681	.125	.291	23	10	.307	93	-4	+1	-5	+0	+14	0.7
2042	35	MLB	OAK	442	390	88	13	2	9	45	108	4	5	0	.226	.312	.338	.651	.113	.289	24	10	.299	87	-6	+1	-6	+0	+13	0.2
2043	36	MLB	OAK	381	337	74	11	2	7	38	98	3	5	0	.220	.304	.326	.631	.107	.287	26	10	.290	80	-8	+1	-6	+0	+11	-0.3
▸ Career Totals (MLE all levels + projections)
Career	—			10260	9078	2207	348	61	241	995	2230	103	181	18	.243	.325	.375	.699	.131	.295	22	10	.313	97	-31	+29	-31	+0	+291	26.3
/ 162G	—			650	575	140	22	4	15	63	141	7	11	1	.243	.326	.374	.699	.130	.296	22	10	.313	97	-2	+2	-2	+0	+18	1.7

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
2024	17	INTL	Brisbane Bandits	75	67	15	3	1	0	5	18	1	5	1	.224	.288	.299	.586	.075	.294	24	7	.262	59	-4	+1	—	—	+2	-0.1
2025	18	A	Stockton Ports	197	173	39	4	0	2	19	33	2	6	1	.225	.309	.283	.593	.058	.266	17	10	.274	68	-7	+1	—	—	+6	-0.1
2025	18	ROK	ACL Athletics	145	125	32	5	1	0	20	25	0	6	1	.256	.359	.312	.671	.056	.320	17	14	.314	98	-0	+1	—	—	+4	0.5
2025	18	INTL	Brisbane Bandits	152	131	28	9	2	3	17	28	2	7	2	.214	.313	.382	.695	.168	.248	18	11	.309	95	-1	+1	—	—	+4	0.4

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
Max Durrington (OGILVIE)	19	40	20	45	35	.220/.282/.323	.104	.283	5	5	25%	7%	69	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jose Quero 2018 · A	19	43	40	44→30	44	.212/.272/.297	.086	.272	8	3	25%	7%	57	-1.2	.195/.254/.291	.096	.250	9	4	25%	7%	48	-1.9	.196/.247/.344	.148	.225	15	4	21%	6%	63	-0.2
✕Nelson Quiroz 2021 · A	19	44	37→40	47→40	45	.209/.268/.279	.070	.271	5	6	24%	7%	50	-1.7	.224/.289/.327	.103	.275	7	5	20%	8%	72	-0.2	.253/.306/.321	.068	.288	2	0	12%	6%	73	-0.0
✕Ronarsy Ledesma 2012 · A	19	42	42→45	47→50	43	.205/.277/.309	.104	.271	9	8	27%	6%	64	-0.8	.224/.284/.326	.102	.290	5	11	24%	5%	70	-0.3	.226/.280/.337	.111	.291	6	11	23%	4%	69	-0.2
✕Freizer Pedron 2006 · A	19	44	39→40	46→55	39	.209/.263/.293	.084	.303	7	12	32%	6%	52	-1.6	.221/.282/.295	.074	.295	3	15	24%	6%	61	-1.0	.240/.304/.313	.072	.307	1	23	20%	6%	72	-0.1
✕Vicmal De La Cruz 2013 · A	19	43	39→40	49→50	44	.204/.268/.293	.089	.282	5	8	28%	7%	54	-1.4	.184/.239/.257	.073	.271	4	6	32%	6%	33	-2.9	.149/.204/.202	.052	.220	3	3	32%	5%	1	-1.4
✕Randel Alcantara 2016 · A	19	44	41→45	45	43	.210/.282/.319	.109	.281	7	6	27%	6%	68	-0.5	.197/.255/.304	.107	.262	9	6	27%	5%	53	-1.5	.132/.175/.242	.109	.157	14	3	27%	3%	1	-1.4
✕Angel Ortiz 2022 · A	19	42→40	41→50	46→40	44	.207/.262/.297	.091	.272	9	9	27%	7%	53	-1.5	.205/.256/.301	.096	.278	8	7	27%	6%	51	-1.7	.210/.263/.325	.115	.276	10	3	27%	6%	59	-0.6
✕Jaden Rudd 2022 · A	19	44→36	39→30	51→50	45	.209/.290/.301	.092	.297	6	11	30%	8%	67	-0.5	.181/.289/.258	.077	.275	4	13	32%	10%	57	-1.2	.154/.281/.215	.061	.250	3	16	34%	11%	41	-1.0
✕Jenner Emeterio 2013 · A	20	45	38→30	48→60	46	.214/.278/.298	.084	.285	5	12	26%	8%	60	-1.0	.216/.302/.277	.061	.288	3	24	23%	10%	66	-0.6	.216/.317/.260	.044	.285	1	34	22%	12%	65	-0.3
✕Victor Arias 2022 · A	18	44→46	38→45	46→50	44	.204/.277/.282	.078	.314	6	9	34%	9%	56	-1.3	.209/.295/.306	.097	.329	7	14	35%	9%	70	-0.3	.219/.297/.335	.116	.314	10	18	31%	8%	75	+0.0
✕Hendry Mendez 2023 · A	19	47→54	38→40	42→45	50	.222/.294/.299	.078	.277	6	6	21%	8%	67	-0.5	.230/.294/.318	.088	.284	7	5	20%	8%	72	-0.2	.244/.311/.341	.098	.292	8	5	19%	8%	82	+0.3
✕Nahum Hernandez 2009 · A	19	42	39→45	42→50	44	.204/.265/.287	.083	.263	6	5	24%	6%	52	-1.6	.222/.290/.319	.097	.299	8	8	27%	7%	71	-0.3	.241/.316/.348	.107	.325	9	10	26%	7%	84	+0.2
✕Albert Hernandez 2008 · A	19	44	39→40	49→45	46	.209/.271/.300	.092	.263	6	7	22%	7%	57	-1.2	.226/.286/.317	.091	.284	6	7	21%	6%	68	-0.5	.230/.289/.314	.084	.291	6	6	22%	6%	66	-0.2
✕Victor Rodrigues 2023 · A	18	41	38→30	49→50	44	.199/.262/.281	.083	.258	5	7	24%	6%	50	-1.8	.211/.287/.284	.073	.267	5	9	21%	9%	61	-1.0	.221/.317/.274	.053	.274	5	10	19%	11%	69	-0.2
✕Joe Dickerson 2006 · A	19	43→53	41→40	46→55	43	.209/.264/.318	.109	.283	7	9	28%	7%	59	-1.1	.226/.274/.325	.099	.282	7	13	21%	5%	65	-0.7	.248/.303/.333	.086	.306	4	21	19%	6%	76	+0.0
✕Ronny Ugarte 2023 · A	18	42	43→45	48→30	43	.205/.276/.323	.118	.282	9	6	29%	7%	66	-0.6	.226/.287/.334	.108	.294	8	5	24%	7%	73	-0.1	.246/.302/.354	.108	.308	8	2	22%	7%	82	+0.2
✕Daniel Montesino 2023 · A	19	48	40	48→45	46	.220/.301/.315	.094	.332	6	8	33%	9%	74	-0.1	.200/.267/.273	.073	.315	3	9	34%	7%	49	-1.8	.172/.232/.221	.049	.286	0	8	37%	6%	18	-1.1
✕Jose Roman 2011 · A	20	45	40	46→45	45	.215/.275/.308	.093	.293	6	5	28%	8%	61	-1.0	.231/.290/.327	.096	.288	7	6	21%	7%	72	-0.2	.249/.309/.344	.095	.292	8	6	17%	8%	81	+0.2
✕Guillermo Pimentel 2009 · A	19	44	39→40	48→55	46	.208/.296/.287	.079	.283	7	16	27%	8%	66	-0.6	.198/.267/.274	.076	.315	6	13	36%	7%	50	-1.8	.170/.229/.231	.061	.300	6	11	43%	6%	19	-1.1
✕Iverson Leonardo 2021 · A	19	44	40→50	47→50	44	.207/.282/.312	.105	.301	5	9	31%	8%	66	-0.6	.192/.268/.306	.114	.300	10	8	37%	8%	59	-1.1	.153/.245/.262	.109	.254	11	8	41%	8%	37	-0.7

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)