OpTiX — CS2 Stats

DE76561199841335395[U:1:1881069667]Steam profile ↗✓ No bans

532Tracked matches75%Win rate2025Tracked since

220Hours in CS

CSDB Rating7.3 StrongAggressive Rifler

Premier CS Rating29,136Top 5% of 17,162 CSDB-tracked playersRed band · top ~1% of ranked players (population est.)

CSDB Leaderboard#225 of 28219 tracked

WingmanThe Global Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Red band among CSDB-tracked players (n=1,873), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Red band median
Headshot rate	45.9%	49.9%
Shot accuracy	0.0%	13.4%
Kill/death ratio	1.38	1.12
Match win rate	61.4%	48.4%

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Performance scores

Aim73

Positioning68

Utility60

0–100 skill scores via Leetify.

Recent form

HOT66–29–5Last 10066%Win rateLWWTWWWLWW

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.3

Aggression10.0

Utility6.0

Positioning6.8

Opening Duels5.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like sh1ro 91% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 564ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.3

Positioning6.8

Utility6.0

Mechanics6.0

Opening Duels5.6

Win Impact10.0

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.03

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time567ms−21ms

first ⅓ avg 588ms → last ⅓ avg 567ms

Headshot accuracy18.3%+1.2%

first ⅓ avg 17.1% → last ⅓ avg 18.3%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.22Best rating — cache 13–2

13–0Biggest win — train

7Longest win streak

3–3In matches decided by ≤2 rounds

1Overtime games

Map breakdown

mirageBest map · 80% over 20ancientWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	32	21–11	66%	0.03
cache	S	29	22–7	76%	0.04
mirage	S	20	16–4	80%	0.05
ancient	D	7	2–5	29%	0.01
train	—	2	1–1	50%	0.06
dust2	—	2	1–1	50%	-0.01
nuke	—	2	2–0	100%	0.01
vertigo	—	2	0–2	0%	0.04
anubis	—	2	0–2	0%	-0.06
office	—	1	0–1	0%	-0.01
overpass	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,355Lifetime kills

1.38K/D · Top 25% of Red band

853Matches

61.4%Match win rate · Top 5% of Red band

45.9%Headshot %

0.0%Shot accuracy

3,064MVPs

220Hours (in match)

1,043Bombs planted

227Bombs defused

Most-used weapons

AK-475,416

M4A4 / M4A1-S2,972

AWP1,137

Desert Eagle1,078

P2000 / USP-S961

Glock-18520

SSG 08283

Galil AR239

MP9239

UMP-45172

Lifetime map wins

2,138inferno

789dust2

462nuke

261vertigo

90office

87train

13italy

1ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.0%Headshot accuracy

34.4%Accuracy (enemy spotted)

38.3%Spray accuracy

76.9%Counter-strafing

8.8°Preaim

564msReaction time

47.6%T opening success

57.6%CT opening success

0.60Enemies flashed / flash

8.2%Flash assists

13.07HE damage / grenade

6.98Flashes / match

Recommended for you

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	5–13	0.03	25%	28 Aug →
ancient	13–1	0.05	17%	28 Aug →
mirage	13–5	0.06	18%	28 Aug →
inferno	12–12	0.07	18%	28 Aug →
cache	13–9	0.05	18%	28 Aug →
mirage	13–5	0.05	23%	28 Aug →
inferno	13–7	0.02	18%	28 Aug →
train	11–13	0.03	17%	28 Aug →
mirage	13–2	0.05	15%	28 Aug →
cache	13–8	0.01	9%	28 Aug →
inferno	13–9	0.06	20%	28 Aug →
inferno	7–13	-0.03	16%	28 Aug →
cache	13–7	-0.01	23%	27 Aug →
inferno	13–5	0.01	21%	27 Aug →
cache	13–9	0.04	17%	27 Aug →
mirage	13–10	0.05	9%	27 Aug →
inferno	13–8	0.07	16%	27 Aug →
ancient	12–12	0.06	19%	27 Aug →
inferno	1–13	-0.06	17%	27 Aug →
inferno	13–7	0.05	28%	27 Aug →
cache	13–9	0.00	18%	27 Aug →
inferno	10–13	0.00	12%	27 Aug →
ancient	1–13	-0.02	26%	27 Aug →
inferno	2–13	-0.03	27%	26 Aug →
cache	13–7	0.07	9%	26 Aug →
mirage	13–2	-0.05	26%	26 Aug →
inferno	13–4	-0.02	15%	26 Aug →
mirage	13–4	0.06	17%	26 Aug →
inferno	13–7	0.01	14%	26 Aug →
inferno	13–7	-0.02	22%	26 Aug →
cache	13–4	-0.02	18%	26 Aug →
dust2	5–13	-0.09	18%	26 Aug →
ancient	3–13	-0.02	18%	26 Aug →
ancient	4–13	-0.03	4%	25 Aug →
inferno	13–4	0.06	20%	25 Aug →
mirage	13–7	0.09	23%	25 Aug →
inferno	13–10	0.07	19%	25 Aug →
cache	12–12	0.02	21%	25 Aug →
mirage	16–14	0.22	25%	25 Aug →
ancient	1–13	-0.00	21%	25 Aug →
nuke	13–10	-0.02	13%	25 Aug →
inferno	6–13	0.06	39%	24 Aug →
cache	7–13	0.01	22%	24 Aug →
cache	9–4	0.11	23%	24 Aug →
dust2	13–9	0.07	31%	24 Aug →
cache	7–13	0.08	25%	24 Aug →
nuke	13–10	0.05	22%	24 Aug →
mirage	13–11	0.03	19%	24 Aug →
cache	13–11	-0.03	22%	24 Aug →
inferno	13–5	0.04	25%	24 Aug →
cache	5–13	-0.07	25%	24 Aug →
ancient	13–10	0.01	11%	24 Aug →
mirage	1–13	-0.10	33%	24 Aug →
inferno	7–13	0.06	26%	24 Aug →
mirage	13–6	0.08	17%	23 Aug →
cache	13–3	0.05	19%	23 Aug →
inferno	13–2	0.02	21%	23 Aug →
cache	13–4	0.01	25%	23 Aug →
inferno	12–12	0.10	13%	23 Aug →
cache	13–6	0.14	17%	23 Aug →
cache	13–3	0.12	32%	23 Aug →
train	13–0	0.08	21%	23 Aug →
mirage	8–4	0.02	16%	23 Aug →
inferno	13–9	-0.05	8%	23 Aug →
cache	13–8	0.12	9%	23 Aug →
cache	4–13	0.01	19%	23 Aug →
inferno	9–5	0.01	26%	23 Aug →
mirage	13–3	0.02	15%	22 Aug →
vertigo	6–13	0.07	18%	22 Aug →
inferno	13–5	0.07	24%	22 Aug →
cache	10–13	-0.00	12%	22 Aug →
cache	13–7	0.08	10%	22 Aug →
cache	13–3	0.04	16%	22 Aug →
mirage	13–1	0.14	13%	22 Aug →
cache	13–4	0.04	22%	22 Aug →
inferno	7–1	0.05	11%	22 Aug →
inferno	11–13	0.01	21%	22 Aug →
mirage	13–4	0.11	16%	21 Aug →
inferno	13–3	0.07	15%	21 Aug →
anubis	11–13	-0.08	12%	21 Aug →
cache	13–2	0.22	27%	21 Aug →
inferno	13–8	0.01	23%	21 Aug →
mirage	13–4	-0.03	25%	21 Aug →
anubis	7–13	-0.04	9%	21 Aug →
cache	6–13	0.02	18%	21 Aug →
mirage	10–13	-0.06	24%	21 Aug →
cache	10–0	0.08	24%	21 Aug →
inferno	9–13	0.02	19%	21 Aug →
office	4–13	-0.01	36%	21 Aug →
overpass	13–6	0.03	14%	20 Aug →
vertigo	9–13	0.00	12%	20 Aug →
mirage	13–8	0.15	13%	20 Aug →
cache	13–3	0.06	13%	20 Aug →
inferno	13–4	-0.02	10%	20 Aug →
mirage	10–13	0.05	22%	19 Aug →
cache	13–1	-0.03	5%	19 Aug →
inferno	13–10	0.16	15%	19 Aug →
inferno	13–3	0.04	23%	18 Aug →
cache	13–2	0.03	16%	18 Aug →
mirage	12–12	0.07	14%	18 Aug →