David Mershon — OGILVIE

David MershonSS Rocket City Trash Pandas

Age 23 S/R 5'7" / 175 lbs AA HR -5% Svc 0.0 · Ctrl thru 2034 peak 0.4 · 2029

wRC+†36

AVG/OBP/SLG.187 / .269 / .273

PA320

HR4

SB11

K%32

BB%9

MLB%2%

Scouting · now → future

HIT

25→25

PWR

25→25

SPD

60→60

EYE

55↗60

trajectory · 10 yrs

0.4peak

2029

Contract

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Arb-1	$0.8M	+0.4	$2M	+$0.9M
2030	Arb-2	$0.9M	+0.4	$2M	+$0.9M
2031	Arb-3	$0.9M	+0.3	$1M	+$0.5M
2032	Ext / FA-deal	$0.4M	+0.1	$0.5M	+$0.1M
2033	Ext / FA-deal	$5M	—	—	—
2034	Ext / FA-deal	$0.6M	—	—	—
Totals		$9M		$3M	-$5M

Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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	21	AA	2 teams	184	166	36	6	0	0	12	59	2	9	3	.217	.278	.253	.531	.036	.327	32	7	.234	37	-13	+1	+0	+2	+5	-0.5
2025	22	AA	4 teams	451	394	57	13	2	1	47	150	4	39	4	.145	.243	.195	.438	.051	.228	33	10	.200	12	-45	+6	+0	+5	+13	-2.2
▸ 2026 Season (actual · ROS · total)
2026	23	AA	Rocket City Trash Pandas	36	31	3	0	0	0	3	9	0	2	0	.097	.176	.097	.273	.000	.125	25	8	.148	-28	-5	+0	+0	+0	+1	-0.3
ROS	23	MLB	LAA	284	254	46	9	1	3	27	90	1	9	2	.181	.262	.260	.522	.079	.263	32	10	.243	44	-18	+1	+0	+3	+8	-0.6
TOT	23	MLB	LAA	320	285	49	9	1	3	30	99	1	11	2	.172	.253	.242	.495	.070	.247	31	9	.233	36	-23	+1	+0	+3	+9	-0.9
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB 11%	LAA	436	387	75	14	2	7	43	124	3	12	2	.194	.279	.295	.574	.101	.261	28	10	.261	58	-21	+2	+0	+5	+12	-0.2
2028	25	MLB 26%	LAA	466	413	82	16	2	8	47	130	3	13	2	.199	.285	.305	.590	.107	.265	28	10	.270	65	-18	+2	+0	+5	+13	0.2
2029	26	MLB 44%	LAA	484	429	86	16	2	9	49	134	3	13	2	.200	.287	.310	.597	.110	.267	28	10	.275	69	-17	+2	+0	+5	+14	0.4
2030	27	MLB 59%	LAA	489	433	87	17	2	9	50	135	3	12	2	.201	.288	.312	.600	.111	.267	28	10	.277	70	-17	+2	+0	+5	+14	0.4
2031	28	MLB 69%	LAA	487	431	86	16	2	9	50	135	3	12	2	.200	.287	.309	.596	.109	.267	28	10	.275	69	-17	+2	-1	+5	+14	0.3
2032	29	MLB 77%	LAA	479	423	84	16	2	9	50	134	3	11	1	.199	.288	.310	.598	.111	.266	28	10	.273	67	-18	+2	-1	+5	+14	0.1
2033	30	MLB 95%	LAA	470	415	81	15	2	8	49	133	3	11	1	.195	.285	.299	.584	.104	.264	28	10	.270	65	-19	+2	-2	+5	+13	-0.1
2034	31	MLB	LAA	456	403	78	15	1	8	47	131	3	9	0	.194	.283	.295	.578	.102	.263	29	10	.266	62	-20	+2	-3	+5	+13	-0.3
2035	32	MLB	LAA	438	387	73	14	1	7	45	128	3	8	0	.189	.278	.284	.562	.096	.261	29	10	.262	59	-21	+2	-4	+5	+12	-0.5
2036	33	MLB	LAA	409	362	67	13	1	6	42	123	2	8	0	.185	.273	.276	.550	.091	.259	30	10	.257	55	-21	+2	-4	+4	+12	-0.8
2037	34	MLB	LAA	364	322	58	11	1	5	37	112	2	7	0	.180	.269	.267	.536	.087	.257	31	10	.250	50	-21	+1	-5	+4	+10	-1.0
▸ Career Totals (MLE all levels + projections)
Career	—			5897	5219	996	191	21	89	595	1718	38	173	21	.191	.278	.287	.565	.096	.264	29	10	.260	57	-284	+26	-20	+63	+167	-4.8
/ 162G	—			650	575	110	21	2	10	66	189	4	19	2	.191	.279	.287	.566	.096	.264	29	10	.260	57	-31	+3	-2	+7	+18	-0.5

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	21	AA	Rocket City Trash Pandas	130	114	29	5	0	0	12	31	1	5	1	.254	.331	.298	.629	.044	.341	24	9	.287	77	-3	+1	—	—	+4	0.1
2024	21	INTL	Mesa Solar Sox	54	38	10	1	2	0	14	9	1	4	2	.263	.472	.395	.866	.132	.333	17	26	.395	161	+4	+0	—	—	+2	0.5
2025	22	AAA	Salt Lake Bees	57	49	6	2	0	0	7	19	0	1	2	.122	.232	.163	.395	.041	.200	33	12	.194	7	-6	-1	—	—	+2	-0.5
2025	22	AA	Rocket City Trash Pandas	276	225	35	6	1	1	48	70	1	22	2	.156	.307	.204	.511	.049	.221	25	17	.254	52	-15	+4	—	—	+8	-0.3
2025	22	ROK	ACL Angels	30	28	14	4	1	0	2	4	0	4	0	.500	.533	.714	1.248	.214	.583	13	7	.543	274	+6	+1	—	—	+1	0.8
2025	22	INTL	Salt River Rafters	88	61	14	1	0	1	20	17	3	12	0	.230	.435	.295	.730	.066	.283	19	23	.345	122	+2	+2	—	—	+2	0.7

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
David Mershon (OGILVIE)	23	25	25	60	60	.187/.269/.273	.086	.277	4	9	32%	9%	51	-0.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Hayden Cantrelle 2022 · AA	23	35	41→45	54→55	54	.169/.297/.268	.099	.266	8	23	35%	14%	64	-0.8	.189/.306/.297	.108	.297	8	20	34%	13%	74	-0.1	.191/.310/.302	.111	.299	9	21	34%	12%	74	-0.0
✕Arquímedes Gamboa 2021 · AA	23	38→43	36→40	50	45	.180/.255/.246	.066	.273	3	13	33%	9%	37	-2.6	.198/.277/.295	.097	.290	9	14	32%	10%	59	-1.1	.195/.282/.288	.093	.289	8	15	32%	10%	56	-0.7
✕Roberto Caro 2017 · A	23	44→39	37→40	55→60	44	.206/.273/.285	.079	.298	3	15	30%	8%	54	-1.4	.213/.282/.289	.076	.316	3	22	30%	8%	59	-1.1	.210/.285/.286	.076	.304	2	32	29%	8%	59	-0.7
✕J.T. Arruda 2022 · A	24	39→42	38→40	53→55	43	.189/.254/.273	.084	.278	5	13	32%	8%	43	-2.2	.202/.277/.294	.092	.298	7	19	31%	9%	59	-1.1	.200/.277/.286	.086	.288	6	21	30%	9%	55	-0.9
✕Oliver Dominguez 2012 · A	23	41	40	52→45	49	.199/.274/.292	.093	.261	8	15	26%	9%	57	-1.2	.199/.264/.297	.098	.288	7	8	31%	8%	54	-1.4	.184/.244/.280	.096	.274	7	3	34%	7%	39	-0.9
✕Kaden Polcovich 2022 · AA	23	39	46→45	54→55	45	.196/.282/.327	.131	.279	14	17	33%	9%	71	-0.3	.195/.278/.316	.121	.271	12	17	31%	9%	66	-0.6	.183/.271/.296	.112	.254	11	19	30%	9%	55	-0.8
✕Gerard Hall 2011 · A	23	42→40	37→40	49→50	45	.200/.261/.277	.077	.275	4	12	28%	8%	47	-1.9	.215/.270/.300	.085	.301	3	10	27%	7%	56	-1.3	.228/.280/.318	.090	.321	0	8	27%	6%	62	-0.5
✕Corey Joyce 2022 · AA	23	41	39→45	53→50	39	.193/.262/.274	.080	.300	7	13	36%	7%	48	-1.9	.208/.307/.328	.120	.294	12	12	31%	10%	82	+0.5	.212/.315/.318	.105	.301	9	14	29%	10%	80	+0.2
✕Ramiro Rodriguez 2021 · AA	23	42	40	50	50	.204/.287/.297	.093	.275	8	18	27%	10%	64	-0.8	.198/.261/.293	.095	.307	9	11	36%	7%	52	-1.6	.146/.208/.211	.065	.238	7	8	40%	6%	5	-1.2
✕Rubendy Jaquez 2022 · A	23	42→38	37→40	55	41	.200/.249/.278	.077	.269	4	20	27%	6%	42	-2.3	.211/.253/.294	.083	.276	5	16	24%	5%	47	-1.9	.207/.235/.285	.078	.259	5	16	22%	3%	32	-1.0
✕Dylan Neuse 2023 · A	24	37	39→40	49→50	44	.183/.260/.264	.081	.271	8	14	33%	9%	45	-2.1	.205/.286/.296	.091	.292	7	13	29%	9%	63	-0.8	.211/.301/.305	.094	.293	5	13	27%	10%	72	-0.1
✕Terry Serrano 2009 · A	22	41	35→30	50→55	45	.193/.257/.255	.062	.261	3	15	26%	7%	40	-2.4	.210/.292/.281	.071	.312	3	15	30%	10%	62	-0.9	.210/.320/.274	.064	.324	2	21	31%	13%	69	-0.2
✕Yasel Antuna 2023 · AA	23	37→35	44→45	48→50	47	.188/.265/.299	.111	.257	12	13	30%	9%	56	-1.3	.186/.265/.284	.098	.270	9	13	32%	9%	53	-1.5	.142/.231/.224	.082	.210	8	12	34%	9%	22	-1.5
✕Mike Martin 2016 · A	23	41	35→30	52→55	42	.188/.277/.248	.060	.302	3	12	35%	8%	49	-1.8	.222/.280/.282	.060	.288	3	17	22%	6%	56	-1.3	.244/.292/.297	.053	.299	2	23	18%	5%	62	-0.3
✕Claudio Finol 2023 · AA	23	39	38→40	49→45	40	.187/.243/.265	.078	.259	5	8	29%	6%	37	-2.7	.205/.266/.297	.092	.292	8	10	31%	7%	55	-1.4	.195/.264/.279	.084	.281	10	12	32%	7%	48	-0.5
✕River Town 2022 · A	23	44→38	37→40	53→50	43	.207/.282/.284	.077	.293	3	12	28%	7%	59	-1.1	.211/.296/.319	.108	.266	10	15	23%	8%	75	-0.0	.206/.299/.306	.100	.254	9	15	21%	9%	71	-0.2
✕Dwayne Bailey 2011 · AAA	24	42	35→30	53→50	41	.199/.256/.254	.055	.291	2	14	31%	6%	38	-2.6	.218/.278/.286	.068	.315	3	12	29%	7%	56	-1.3	.227/.292/.289	.061	.331	2	11	29%	7%	59	-0.7
✕Braulio Vasquez 2022 · A	23	40	40	54→65	40	.192/.269/.282	.090	.299	8	28	36%	7%	53	-1.5	.216/.284/.315	.099	.302	7	27	29%	7%	67	-0.5	.225/.290/.320	.095	.304	4	32	25%	7%	66	-0.3
✕Jarryd Dale 2023 · AAA	22	39→42	38→40	52→55	43	.190/.257/.267	.077	.283	6	19	33%	8%	43	-2.2	.188/.255/.280	.092	.289	8	15	35%	7%	46	-2.0	.135/.177/.229	.094	.204	13	7	41%	3%	-3	-1.1
✕Yeison Coca 2022 · AAA	23	38→31	38→40	47→50	37	.180/.235/.252	.072	.293	5	13	38%	6%	30	-3.1	.187/.248/.259	.072	.312	4	13	38%	7%	37	-2.6	.157/.226/.215	.058	.266	2	16	38%	8%	15	-2.1

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)