Tytus Cissell

SS Visalia Rawhide

Age 21 S/R 6'2" / 185 lbs A HR -11% Svc 0.0 · Ctrl thru 2035

Overview

APROSPECTMiLBFA 2036

OGV OFP35OGV rank#1617ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	19	ROKARI	206	.201/.283/.304	3	9	-9	—	.105/.171/.163
2026	20	A/ROKARI	329	.215/.310/.275	3	36	28	—	.171/.247/.211
2027PROJMLE	21	MLBARI	439	.196/.254/.279	5	11	51	-0.2
2028PROJ34% MLB	22	MLBARI	92	.208/.267/.308	1	2	58	-0.1
2029PROJ48% MLB	23	MLBARI	172	.212/.272/.321	3	4	63	-0.0

Next 3 projected WAR -0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2035Service0.0First FA2036

2027MiLB2028MiLB2029MiLB2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Arb-1$2M2034Arb-2$2M+1

Skills · percentileMiLB Statcast 2026 A

Speed80

Z-Con%62

Whiff%41

K%38

Chase%29

wOBA16

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 98%

CompsJose Salas (age 21) · C.J. Beatty (age 21) · Brainer Bonaci (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†51

AVG/OBP/SLG.194 / .252 / .276

PA210

HR2

SB5

K%28

BB%5

ISO83

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control-$0M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2031	Pre-Arb	$0.9M	+0.2	$0.6M	+$0.0M
2032	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2033	Arb-1	$2M	+0.2	$0.5M	+$0.0M (cut)
2034	Arb-2	$2M	+0.2	$0.5M	+$0.0M (cut)
2035	Arb-3	$2M	—	—	—
Totals		$2M		$3M	+$0.3M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	MLB%	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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2025	19	ROK	ACL D-backs	—	206	184	37	6	2	3	17	76	4	9	1	201	283	304	587	103	321	37	8	269	-9	—	—	—	—	—	—
2026	20	A	Visalia Rawhide	—	221	193	42	6	0	1	17	58	10	24	2	218	314	264	578	47	306	26	8	275	34	—	—	—	—	—	—
2026	20	ROK	ACL D-backs	—	108	91	19	2	0	2	10	29	2	12	0	209	301	297	598	88	274	27	9	266	16	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	19	ROK MLE	ACL D-backs	—	206	190	20	3	1	2	11	115	4	9	1	105	171	163	334	58	243	56	5	155	-9	—	—	—	—	—	—
2026	20	A MLE	Visalia Rawhide	—	221	198	36	5	0	1	12	79	10	24	2	182	264	222	486	40	290	36	5	219	34	—	—	—	—	—	—
2026	20	ROK MLE	ACL D-backs	—	108	95	14	1	0	1	6	42	2	12	0	147	214	189	403	42	222	39	6	192	16	—	—	—	—	—	—
2025	19	ROK MLE	ACL D-backs	—	206	190	20	3	1	2	11	115	4	9	1	105	171	163	334	58	243	56	5	155	-9	—	—	—	—	—	—
2025	19	ROK RAW	ACL D-backs	—	206	184	37	6	2	3	17	76	4	9	1	201	283	304	587	103	321	37	8	269	-9	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	329	293	50	6	0	2	18	121	12	36	2	171	248	212	459	41	279	37	5	210	28	—	—	—	—	—	—
2026	20	A RAW	2 teams	—	329	284	61	8	0	3	27	87	12	36	2	215	310	275	584	60	296	26	8	272	28	—	—	—	—	—	—
2025	19	ROK MLE	ACL D-backs	—	206	189	20	3	1	2	11	115	4	9	1	106	171	164	335	58	243	56	5	155	-9	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	329	296	50	6	0	2	18	121	12	36	2	169	248	209	457	41	268	37	5	210	28	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	19	ROK MLE	ACL D-backs	—	206	189	20	3	1	2	11	115	4	9	1	106	171	164	335	58	243	56	5	155	-9	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	329	296	50	6	0	2	18	121	12	36	2	169	248	209	457	41	268	37	5	210	28	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	ARI	0%	439	405	80	15	2	5	23	125	8	11	2	196	254	279	533	83	267	28	5	243	51	-26	+1	+2	+5	+10	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	ARI	34%	268	246	49	9	1	4	15	74	5	7	1	202	261	297	559	96	269	28	6	254	58	-13	+1	+2	+3	+6	-0.2
2029	23	MLB MLE	ARI	48%	356	326	67	12	2	6	21	97	6	9	2	207	267	312	579	105	272	27	6	262	63	-16	+1	+2	+4	+8	-0.1
2030	24	MLB MLE	ARI	53%	413	378	79	14	2	8	25	111	7	10	2	211	272	322	594	112	274	27	6	268	67	-16	+1	+3	+4	+9	0.2
2031	25	MLB MLE	ARI	55%	444	407	86	16	2	9	27	119	7	11	2	213	275	329	604	116	275	27	6	272	70	-16	+1	+3	+5	+10	0.4
2032	26	MLB MLE	ARI	56%	460	421	90	16	2	10	29	122	7	11	2	215	277	334	612	120	275	27	6	275	72	-15	+1	+4	+5	+10	0.5
2033	27	MLB MLE	ARI	55%	465	426	91	17	2	10	29	124	7	11	2	214	276	332	608	118	275	27	6	274	71	-16	+1	+4	+5	+10	0.4
2034	28	MLB MLE	ARI	55%	462	423	89	16	2	9	29	124	7	10	2	212	275	327	602	115	274	27	6	271	70	-17	+1	+3	+5	+10	0.2
2035	29	MLB MLE	ARI	53%	452	414	87	16	2	9	28	123	7	9	2	210	272	322	593	112	273	27	6	268	67	-18	+1	+2	+5	+10	0.0
2036	30	MLB MLE	ARI	53%	441	404	83	15	2	8	27	121	7	8	2	207	268	314	583	107	271	27	6	263	64	-19	+1	+1	+5	+10	-0.2
2028	22	MLB CTX	ARI	34%	92	85	18	4	1	1	5	26	2	2	0	208	267	308	574	100	279	28	5	260	58	-5	+0	+1	+1	+2	-0.1
2029	23	MLB CTX	ARI	48%	172	157	34	7	1	3	10	47	3	4	1	212	272	321	594	109	281	27	6	268	63	-8	+0	+1	+2	+4	-0.0
2030	24	MLB CTX	ARI	53%	218	199	43	9	1	4	13	59	4	5	1	216	277	332	609	116	283	27	6	274	67	-8	+1	+2	+2	+5	0.1
2031	25	MLB CTX	ARI	55%	243	222	49	10	1	5	15	65	4	6	1	219	280	339	619	120	284	27	6	278	70	-9	+1	+2	+3	+5	0.2
2032	26	MLB CTX	ARI	56%	256	234	52	10	2	5	16	68	4	6	1	220	282	343	626	123	285	27	6	281	72	-8	+1	+2	+3	+6	0.3
2033	27	MLB CTX	ARI	55%	256	234	50	10	1	5	16	68	4	6	1	219	282	341	622	122	284	27	6	280	71	-9	+1	+2	+3	+6	0.2
2034	28	MLB CTX	ARI	55%	253	231	50	10	1	5	16	68	4	6	1	218	280	336	616	119	283	27	6	277	70	-9	+1	+2	+3	+5	0.2
2035	29	MLB CTX	ARI	53%	241	220	46	9	1	4	15	65	4	5	1	215	277	331	607	115	282	27	6	273	67	-9	+1	+1	+3	+5	0.0
2036	30	MLB CTX	ARI	53%	232	212	45	9	1	4	14	64	4	4	1	212	273	323	597	111	280	28	6	269	64	-10	+0	+1	+2	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1963	1794	387	78	10	36	120	530	33	44	8	216	277	331	608	115	284	27	6	275	61	-75	+6	+13	+21	+43	0.7
/ 162G	—	A+C		—	650	594	128	26	3	12	40	175	11	15	3	215	278	330	608	114	283	27	6	275	61	-25	+2	+4	+7	+14	0.2
Career	—	MLE		—	4506	4121	829	147	19	79	270	1311	80	136	21	201	264	304	567	102	273	29	6	258	61	-157	+11	+25	+43	+86	0.8
/ 162G	—	MLE		—	650	594	119	21	3	11	39	189	12	20	3	200	264	301	565	101	272	29	6	258	61	-26	+2	+4	+7	+14	0.1

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AVisalia Rawhide · 221 PAwOBA .268 → .219 (−49)K% 26.2% → 35.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.24%	÷1.000	×1.360	—	—	35.69%
BB% (unintentional) /PA	7.69%	÷1.000	×0.690	—	×1.030	5.47%
HBP% /PA	4.52%	—	×0.780	—	×1.030	3.64%
Singles /BIP	25.93%	÷1.000	×0.920	×1.016	×1.030	24.96%
Doubles /BIP	4.44%	÷1.000	×0.830	×1.016	×1.030	3.86%
Triples /BIP	0.00%	÷1.000	×0.910	×1.016	×1.030	0.00%
Home runs /BIP	0.74%	÷1.000	×0.800	—	×1.030	0.61%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.016.

Result: wOBA .268 → .219; ISO .047 → .036; BABIP .306 → .290. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2026 ROKACL D-backs · 108 PAwOBA .265 → .192 (−73)K% 26.9% → 38.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.85%	÷1.000	×1.440	—	—	38.67%
BB% (unintentional) /PA	9.26%	÷1.000	×0.620	—	×0.995	5.71%
HBP% /PA	1.85%	—	×0.720	—	×0.995	1.33%
Singles /BIP	24.19%	÷1.000	×0.820	×1.018	×0.995	20.09%
Doubles /BIP	3.23%	÷1.000	×0.720	×1.018	×0.995	2.35%
Triples /BIP	0.00%	÷1.000	×0.720	×1.018	×0.995	0.00%
Home runs /BIP	3.23%	÷1.000	×0.780	—	×0.995	2.50%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.

Result: wOBA .265 → .192; ISO .088 → .064; BABIP .274 → .222. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 ROKACL D-backs · 206 PAwOBA .264 → .155 (−109)K% 36.9% → 55.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	36.89%	÷0.952	×1.440	—	—	55.83%
BB% (unintentional) /PA	8.25%	÷0.942	×0.620	—	×1.008	5.47%
HBP% /PA	1.94%	—	×0.720	—	×1.008	1.41%
Singles /BIP	24.07%	÷1.030	×0.820	×0.960	×1.008	18.54%
Doubles /BIP	5.56%	÷0.945	×0.720	×0.960	×1.008	4.09%
Triples /BIP	1.85%	÷0.939	×0.720	×0.960	×1.008	1.37%
Home runs /BIP	2.78%	÷0.862	×0.780	—	×1.008	2.53%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 72, 1B 106, 2B 89, 3B 88, K 90, BB 88 — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.960.

Result: wOBA .264 → .155; ISO .103 → .060; BABIP .321 → .243. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1John McDonaldlast yr '14 career totals — 13 seasons, 2,596 PA	3.9	2,596	28	34	233	273	324	+20	+54	4.2	5.1
/162	664	7	9	+5.0	+13.9	1.1	pk7: 6
#2Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#3Pete Mackanin'73-'81 * career totals — 6 seasons, 1,686 PA	2.5	1,686	30	27	222*	261*	370*	+6	+23	0.6	1.6
/162	664	12	11	+2.4	+8.9	0.2	pk7: 3
#4Benji Gil'93-'03 * career totals — 7 seasons, 1,767 PA	2.7	1,767	32	24	227*	272*	349*	+10	+30	0.6	1.0
/162	664	12	9	+3.8	+11.3	0.2	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.3	2,172	41	51	210	269	321	+23	+24	0.2	0.5
/162	664	12	16	+7.1	+7.3	0.1	pk7: 1
#5Todd Cruz'78-'84 * career totals — 5 seasons, 1,634 PA	2.5	1,634	34	9	215*	250*	348*	+13	+35	0.5	0.5
/162	664	14	4	+5.4	+14.2	0.2	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

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
Tytus Cissell (OGILVIE)	21	—	—	—	—	194/252/276	82	267	2	5	28%	5%	51	-0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jose Salas 2024 · A	21	40→43	39→45	54→55	40	194/259/277	83	275	7	21	31%	6%	53	-2.1	187/243/287	100	281	10	20	35%	5%	49	-2.4	173/229/282	108	262	12	23	37%	5%	41	-1.6
✕C.J. Beatty 2010 · A	21	40	41→45	52→40	41	198/252/295	98	278	9	9	31%	6%	54	-2.0	210/271/325	115	299	9	5	31%	7%	68	-1.0	202/267/333	131	282	11	2	30%	8%	65	-0.7
✕Brainer Bonaci 2022 · A	20	40→46	38→45	53→50	43	192/253/278	86	262	5	13	27%	7%	51	-2.3	219/294/329	110	303	9	13	28%	9%	78	-0.3	221/301/335	114	300	11	14	28%	10%	80	-0.1
✕Allan Castro 2023 · A	20	37→45	40→45	54→50	42	182/250/279	97	263	6	9	32%	7%	50	-2.3	207/280/322	115	282	9	13	28%	9%	71	-0.8	209/284/324	115	280	10	14	27%	9%	71	-0.6
✕Hansel Moreno 2018 · A	21	43→33	38→40	51→50	41	206/255/288	82	285	5	12	28%	6%	53	-2.1	194/239/288	94	293	9	16	35%	5%	47	-2.5	177/222/269	92	266	10	19	36%	5%	34	-2.2
✕Luis Valenzuela 2015 · A	21	40	37→45	55→45	39	195/234/270	75	262	4	7	27%	5%	40	-3.0	244/269/336	92	305	5	7	21%	3%	69	-0.9	263/285/365	102	319	5	7	19%	2%	78	-0.1
✕Luke Williams 2018 · A	21	40→44	35→45	55→65	41	190/234/243	53	254	2	18	26%	5%	34	-3.5	203/260/293	90	270	8	18	26%	6%	57	-1.8	229/291/325	96	311	8	37	27%	7%	74	-0.3
✕Luis Alexander Basabe 2018 · A	21	41→45	41→45	54→50	39	200/255/302	102	297	8	15	34%	6%	57	-1.8	205/269/312	107	318	9	14	36%	8%	65	-1.2	199/269/311	112	312	11	14	37%	8%	62	-0.8
✕Estarlin De Los Santos 2008 · A	21	42	36→40	56→55	40	199/255/267	68	284	2	18	29%	6%	49	-2.4	215/261/285	70	301	3	16	28%	5%	54	-2.0	214/259/280	65	300	2	16	28%	5%	50	-1.4
✕Manuel Geraldo 2018 · A	21	36→46	38→40	52→50	33	182/220/254	72	268	6	14	34%	4%	32	-3.7	217/250/298	81	326	7	14	34%	4%	53	-2.1	220/252/295	76	328	6	14	34%	4%	49	-2.0
✕Oliver Dominguez 2010 · A	21	39	39→40	53→45	46	189/254/272	83	248	6	12	25%	8%	50	-2.3	199/271/291	92	271	7	13	27%	9%	61	-1.5	190/268/285	95	266	7	12	29%	9%	56	-0.9
✕Chris Roller 2018 · A	21	37	37→45	53→55	45	177/253/254	77	242	4	12	27%	8%	46	-2.6	204/272/316	112	294	8	11	31%	7%	67	-1.1	189/255/293	104	275	7	15	32%	6%	54	-1.0
✕Vaughn Bryan 2014 · A	21	44→40	38→40	53→50	40	210/257/292	82	295	5	11	30%	6%	55	-2.0	215/262/300	85	317	3	12	31%	6%	58	-1.7	207/259/288	81	313	2	16	32%	6%	51	-1.5
✕Jase Bowen 2022 · A	21	37→42	42→50	54→55	35	186/247/286	100	284	10	12	37%	5%	51	-2.2	197/249/316	119	284	14	16	34%	5%	59	-1.7	209/260/343	134	298	14	23	33%	6%	66	-0.7
✕Kyle Nevin 2023 · A	21	41→40	40	52→50	39	199/251/297	98	277	6	10	29%	5%	54	-2.0	219/276/320	101	333	8	10	34%	7%	69	-0.9	214/275/310	96	327	9	12	35%	7%	64	-0.8
✕Johan Mieses 2015 · A	20	39→33	39→55	59→50	45	191/248/281	90	242	5	22	23%	6%	49	-2.4	195/243/347	152	271	18	8	34%	5%	63	-1.3	192/268/358	166	237	23	7	30%	7%	73	-0.4
✕Brandon Dailey 2013 · A	21	42	40→45	55	37	203/249/301	98	294	7	12	32%	5%	54	-2.0	195/248/297	102	288	9	6	34%	6%	53	-2.1	144/199/220	76	199	6	0	30%	5%	17	-1.1
✕Jose Ramos 2024 · A	21	36	38→40	59→55	43	175/251/257	81	256	4	23	31%	7%	46	-2.6	195/280/275	80	288	5	23	31%	9%	61	-1.5	194/290/265	72	282	5	28	30%	11%	60	-0.5
✕Marcus Littlewood 2013 · A	21	41	40→45	48→45	41	200/252/291	91	274	8	7	29%	6%	53	-2.1	200/269/308	108	272	9	5	28%	9%	64	-1.3	207/274/317	110	265	10	4	25%	8%	65	-0.6
✕Neyfy Castillo 2021 · A	20	39→33	37→45	54→55	39	187/245/260	73	279	3	11	32%	6%	43	-2.8	186/260/317	131	336	16	16	46%	8%	63	-1.3	173/250/304	131	303	16	19	45%	8%	53	-1.4

Tytus Cissell

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps