Okk1ta — CS2 Stats

76561199824580671[U:1:1864314943]

1,246Tracked matches52%Win rate2025Tracked since

3,948Hours in CS113Hrs last 2 wks

CSDB Rating6.5 SolidAggressive Rifler

WingmanMaster Guardian II

Ladder ranks via Leetify

Performance scores

Aim82

Positioning64

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY53–42–5Last 10053%Win rateWTLWWWWWLT

Last 10 vs previous 10: +50pp win rate · +0.02 avg rating

Player DNA

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

Aim8.2

Aggression8.4

Utility4.2

Positioning6.4

Opening Duels3.6

Clutch4.6

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 b1t 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 585ms 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

Aim8.2

Positioning6.4

Utility4.2

Mechanics8.2

Opening Duels3.6

Win Impact5.6

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.01

first ⅓ avg 0.04 → last ⅓ avg 0.04

Reaction time591ms−3ms

first ⅓ avg 594ms → last ⅓ avg 591ms

Headshot accuracy23.5%−2.7%

first ⅓ avg 26.2% → last ⅓ avg 23.5%

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

0.38Best rating — nuke 9–3

13–1Biggest win — ancient

5Longest win streak

6–5In matches decided by ≤2 rounds

1Overtime games

Map breakdown

nukeBest map · 100% over 5dust2Weakest map · 44% over 32

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	32	14–18	44%	0.02
mirage	B	26	13–13	50%	0.03
ancient	B	21	10–11	48%	0.04
nuke	S	5	5–0	100%	0.11
cache	—	4	3–1	75%	0.07
inferno	—	3	1–2	33%	0.03
anubis	—	3	3–0	100%	-0.00
vertigo	—	2	1–1	50%	0.06
train	—	2	1–1	50%	0.07
sanctum	—	1	1–0	100%	0.15
overpass	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (44% over 32). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

94,065Lifetime kills

1.27K/D · Top 25% of tracked players

3,437Matches

58.4%Match win rate · Top 5% of tracked players

48.6%Headshot % · Top 50% of tracked players

0.0%Shot accuracy

21,714MVPs

1,644Hours (in match)

3,295Bombs planted

1,935Bombs defused

Most-used weapons

AK-4735,368

AWP20,527

M4A4 / M4A1-S12,684

Desert Eagle7,409

P2000 / USP-S4,924

Glock-182,695

Knife1,343

MP91,295

MAC-101,217

SSG 081,210

Lifetime map wins

7,489dust2

4,207inferno

2,578nuke

1,038train

293vertigo

34office

7italy

3lake

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

Faceit stats

Combat

350Matches

55%Win rate

1.26Avg K/D

79.9ADR

47%Headshot %

Clutches & streaks

43%1v1 clutch win

22%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	132	57%	1.35	17.1
Dust2	72	57%	1.23	16.4
Ancient	56	50%	1.17	16.2
Anubis	36	50%	1.17	17.0
Inferno	28	61%	1.36	18.8
Nuke	18	39%	1.08	15.8
Train	4	50%	1.44	12.5
Overpass	3	67%	1.05	14.3

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

22.8%Headshot accuracy

37.0%Accuracy (enemy spotted)

36.5%Spray accuracy

86.9%Counter-strafing

9.8°Preaim

585msReaction time

45.1%T opening success

44.1%CT opening success

0.50Enemies flashed / flash

9.8%Flash assists

7.07HE damage / grenade

7.30Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

44% win rate across 32 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–9	-0.01	24%	27 Aug →
dust2	12–12	0.02	24%	27 Aug →
mirage	9–13	-0.04	20%	3 Aug →
dust2	13–11	0.00	16%	22 Jun →
inferno	9–2	0.12	33%	22 Jun →
mirage	13–7	0.04	24%	21 Jun →
dust2	13–3	0.02	14%	21 Jun →
ancient	13–10	0.18	30%	20 Jun →
dust2	8–13	0.03	29%	20 Jun →
ancient	12–12	-0.09	18%	18 Jun →
dust2	2–13	-0.05	20%	18 Jun →
mirage	13–2	0.01	23%	7 Jun →
dust2	9–13	0.05	28%	3 Jun →
dust2	5–13	-0.02	29%	30 May →
ancient	11–13	0.00	24%	26 May →
mirage	9–13	-0.02	26%	26 May →
dust2	6–13	-0.05	17%	25 May →
mirage	10–13	0.04	22%	25 May →
ancient	9–13	0.09	18%	25 May →
dust2	4–13	-0.00	20%	25 May →
nuke	13–8	0.07	13%	25 May →
cache	13–9	0.14	11%	24 May →
ancient	7–1	0.11	30%	24 May →
mirage	13–11	-0.03	19%	23 May →
dust2	13–6	0.00	25%	23 May →
dust2	7–13	-0.03	33%	23 May →
sanctum	9–5	0.15	30%	22 May →
vertigo	6–9	0.02	31%	22 May →
nuke	9–3	0.38	19%	22 May →
dust2	12–12	0.07	28%	11 May →
mirage	13–11	0.07	17%	10 May →
mirage	10–13	0.05	19%	8 May →
mirage	13–9	0.07	43%	8 May →
mirage	3–0	-0.00	25%	8 May →
ancient	11–13	-0.07	33%	8 May →
cache	13–3	0.07	17%	8 May →
anubis	13–9	-0.05	15%	8 May →
dust2	11–13	0.00	24%	8 May →
dust2	13–7	0.15	20%	8 May →
ancient	13–1	0.06	32%	8 May →
mirage	13–1	0.12	4%	8 May →
ancient	2–13	0.03	23%	8 May →
dust2	13–5	0.07	29%	8 May →
ancient	13–11	0.03	33%	8 May →
inferno	8–13	0.01	18%	7 May →
mirage	12–12	0.02	9%	7 May →
dust2	9–13	0.00	15%	30 Apr →
cache	13–10	0.06	18%	29 Apr →
dust2	4–13	0.02	26%	29 Apr →
mirage	10–13	0.01	11%	29 Apr →
ancient	13–10	0.14	22%	29 Apr →
cache	7–13	0.02	34%	29 Apr →
dust2	10–13	0.02	24%	28 Apr →
nuke	13–4	0.05	30%	28 Apr →
dust2	11–13	-0.02	28%	28 Apr →
dust2	13–3	0.01	43%	28 Apr →
overpass	13–5	0.03	19%	27 Apr →
ancient	13–6	-0.01	30%	26 Apr →
mirage	5–13	0.09	35%	26 Apr →
dust2	13–7	0.07	25%	26 Apr →
ancient	4–13	-0.02	29%	24 Apr →
ancient	13–8	0.05	50%	24 Apr →
dust2	13–11	-0.01	26%	24 Apr →
train	13–5	0.09	18%	22 Apr →
dust2	7–13	-0.07	21%	21 Apr →
dust2	13–4	0.03	19%	19 Apr →
dust2	13–8	0.08	19%	19 Apr →
ancient	9–13	0.03	24%	19 Apr →
anubis	13–11	-0.01	12%	19 Apr →
mirage	13–5	0.03	14%	19 Apr →
mirage	13–9	0.03	19%	19 Apr →
mirage	0–8	-0.00	26%	17 Apr →
mirage	13–7	0.05	40%	17 Apr →
ancient	11–13	0.09	11%	17 Apr →
mirage	8–13	-0.01	33%	16 Apr →
ancient	7–13	-0.01	15%	16 Apr →
dust2	13–1	0.09	33%	15 Apr →
ancient	13–6	0.00	22%	15 Apr →
nuke	13–9	0.08	16%	15 Apr →
mirage	10–13	-0.02	29%	14 Apr →
dust2	9–13	0.04	33%	14 Apr →
dust2	13–7	0.04	29%	11 Apr →
ancient	7–13	0.08	61%	10 Apr →
mirage	6–13	-0.03	33%	10 Apr →
dust2	13–6	0.08	42%	10 Apr →
mirage	13–9	0.07	26%	9 Apr →
nuke	13–10	-0.00	22%	9 Apr →
mirage	13–7	0.07	15%	9 Apr →
ancient	12–12	0.11	40%	9 Apr →
vertigo	13–5	0.10	31%	9 Apr →
mirage	13–8	0.03	24%	8 Apr →
ancient	13–8	0.14	35%	8 Apr →
train	7–13	0.04	30%	8 Apr →
dust2	8–13	0.02	29%	8 Apr →
mirage	8–13	0.07	11%	6 Apr →
mirage	3–13	-0.01	15%	6 Apr →
dust2	8–13	0.02	30%	6 Apr →
inferno	7–13	-0.03	13%	5 Apr →
anubis	16–13	0.04	27%	4 Apr →
dust2	13–8	0.02	27%	4 Apr →