kanxzz — CS2 Stats

76561199059068606[U:1:1098802878]Steam profile ↗✓ No bans

2,325Tracked matches54%Win rate2020Tracked since

4,578Hours in CS29Hrs last 2 wks

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating18,345Purple band · top ~15.1% of ranked players (population est.)

CSDB Leaderboard#22368 of 47077 tracked

FaceitLevel 10 · 2,316 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Rating over time

18,345Peak Premier on CSDB

2,316Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 2,316
Next: 2,500 ELO at 2,500 — 184 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-08-28
Level 9 first seen 2026-08-28

Premier CS Rating

At peak — 18,345
Next: Pink band at 20,000 — 1,655 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-08-28
Blue band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), 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	Level 10 median
Headshot rate	49.3%	51.9%
Shot accuracy	3.7%	13.7%
Kill/death ratio	0.98	1.08
Match win rate	50.7%	48.7%

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Performance scores

Aim83

Positioning58

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY57–40–3Last 10057%Win rateLLWWLWLLLW

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

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

Aim8.3

Aggression9.2

Utility6.6

Positioning5.8

Opening Duels3.7

Clutch3.4

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 jL 95% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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. 575ms 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

Aim8.3

Positioning5.8

Utility6.6

Mechanics7.4

Opening Duels3.7

Win Impact6.2

Composite 6.7/10 (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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time594ms−72ms

first ⅓ avg 666ms → last ⅓ avg 594ms

Headshot accuracy26.3%−3.2%

first ⅓ avg 29.5% → last ⅓ avg 26.3%

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

0.21Best rating — dust2 8–4

13–1Biggest win — dust2

7Longest win streak

L2Current streak

13–7In matches decided by ≤2 rounds

3Overtime games

Map breakdown

mirageBest map · 75% over 16infernoWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	71	39–32	55%	0.01
mirage	S	16	12–4	75%	0.02
inferno	D	6	2–4	33%	-0.01
anubis	—	2	1–1	50%	-0.01
nuke	—	2	0–2	0%	0.01
cache	—	1	1–0	100%	-0.06
ancient	—	1	1–0	100%	-0.01
overpass	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

124,013Lifetime kills

0.98K/D

5,909Matches

50.7%Match win rate · Top 50% of Level 10 players

49.3%Headshot %

3.7%Shot accuracy

19,449MVPs

2,488Hours (in match)

4,137Bombs planted

3,069Bombs defused

Most-used weapons

AK-4741,738

M4A4 / M4A1-S17,488

AWP16,221

Desert Eagle13,112

P2000 / USP-S4,591

Glock-183,664

MP92,687

P902,469

MAC-102,297

SSG 082,154

Lifetime map wins

30,752dust2

6,439inferno

2,522vertigo

1,804nuke

707train

290cbble

263office

71italy

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

Faceit stats

Combat

677Matches

56%Win rate

1.03Avg K/D

76.9ADR

51%Headshot %

Clutches & streaks

37%1v1 clutch win

18%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	224	62%	1.07	15.6
Mirage	174	52%	1.07	15.6
Anubis	87	49%	0.90	14.5
Inferno	73	55%	0.96	15.5
Nuke	33	73%	1.16	17.1
Ancient	18	44%	0.92	14.3
Vertigo	17	71%	1.21	15.3
Train	11	45%	1.17	16.6

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.

24.6%Headshot accuracy

36.7%Accuracy (enemy spotted)

35.8%Spray accuracy

83.3%Counter-strafing

9.2°Preaim

575msReaction time

39.9%T opening success

49.4%CT opening success

0.60Enemies flashed / flash

9.1%Flash assists

7.69HE damage / grenade

13.09Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 39.8504% — below the 40% mark we flag

Spend your practice time on Inferno

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	11–13	0.07	19%	29 Aug →
dust2	11–13	0.02	20%	29 Aug →
dust2	13–10	0.02	27%	27 Aug →
dust2	13–11	0.05	29%	27 Aug →
dust2	3–13	-0.04	28%	26 Aug →
dust2	13–4	0.08	19%	26 Aug →
dust2	4–13	0.02	20%	26 Aug →
dust2	11–13	-0.02	23%	26 Aug →
dust2	5–13	0.00	37%	26 Aug →
dust2	8–4	0.21	29%	19 Aug →
dust2	8–0	0.05	27%	19 Aug →
dust2	12–12	0.09	36%	19 Aug →
dust2	13–8	0.05	14%	19 Aug →
dust2	7–13	-0.05	13%	19 Aug →
dust2	8–13	-0.00	24%	17 Aug →
dust2	13–10	0.02	19%	16 Aug →
dust2	11–13	0.03	23%	15 Aug →
dust2	13–8	-0.03	21%	15 Aug →
dust2	13–11	-0.01	29%	14 Aug →
dust2	13–10	0.04	20%	14 Aug →
dust2	5–1	-0.01	0%	12 Aug →
dust2	13–3	0.01	6%	12 Aug →
dust2	12–12	-0.04	30%	12 Aug →
dust2	7–13	-0.03	20%	12 Aug →
dust2	13–4	0.07	22%	12 Aug →
inferno	9–4	0.09	11%	12 Aug →
mirage	16–14	0.01	16%	8 Aug →
anubis	2–13	0.01	22%	8 Aug →
mirage	13–5	0.05	32%	8 Aug →
dust2	10–13	-0.05	57%	6 Aug →
dust2	0–4	-0.15	100%	6 Aug →
dust2	13–7	-0.03	29%	6 Aug →
dust2	4–10	-0.13	50%	5 Aug →
dust2	8–13	-0.00	17%	4 Aug →
anubis	13–9	-0.04	31%	4 Aug →
dust2	6–13	-0.02	26%	4 Aug →
mirage	13–4	0.09	34%	4 Aug →
dust2	3–11	-0.05	19%	4 Aug →
dust2	1–13	-0.04	45%	4 Aug →
dust2	9–13	0.06	24%	2 Aug →
dust2	13–8	0.02	30%	2 Aug →
dust2	13–9	0.06	24%	2 Aug →
dust2	3–13	0.00	43%	2 Aug →
dust2	0–13	-0.02	71%	1 Aug →
dust2	13–11	0.03	24%	1 Aug →
dust2	13–11	0.04	37%	1 Aug →
dust2	13–5	0.04	38%	31 Jul →
dust2	13–10	0.03	25%	31 Jul →
dust2	13–6	-0.07	23%	31 Jul →
nuke	12–16	-0.04	18%	30 Jul →
cache	13–3	-0.06	27%	30 Jul →
mirage	13–11	0.03	17%	30 Jul →
dust2	13–11	-0.04	23%	30 Jul →
dust2	13–3	0.04	30%	30 Jul →
ancient	16–13	-0.01	22%	30 Jul →
nuke	10–13	0.05	32%	30 Jul →
dust2	9–13	-0.02	24%	30 Jul →
mirage	13–11	0.03	22%	30 Jul →
mirage	8–13	-0.02	34%	30 Jul →
inferno	6–13	0.01	20%	30 Jul →
mirage	13–8	-0.02	18%	29 Jul →
inferno	5–13	-0.01	4%	26 Jul →
dust2	1–3	-0.06	0%	24 Jul →
dust2	13–8	0.06	26%	24 Jul →
dust2	13–3	0.12	25%	19 Jul →
dust2	13–6	0.03	13%	19 Jul →
dust2	13–5	0.04	16%	19 Jul →
overpass	9–3	-0.04	33%	15 Jul →
dust2	13–6	0.07	39%	15 Jul →
dust2	13–1	-0.00	44%	15 Jul →
dust2	11–13	0.05	23%	15 Jul →
inferno	10–13	-0.05	16%	13 Jul →
mirage	13–11	0.01	13%	11 Jul →
dust2	7–13	0.07	27%	10 Jul →
inferno	5–9	-0.08	35%	8 Jul →
dust2	13–8	0.03	33%	8 Jul →
dust2	7–13	0.02	29%	8 Jul →
dust2	13–11	0.02	23%	8 Jul →
mirage	13–11	-0.03	20%	3 Jul →
dust2	12–12	0.03	27%	2 Jul →
mirage	13–8	0.02	19%	2 Jul →
dust2	5–13	-0.01	32%	2 Jul →
dust2	13–8	0.02	30%	2 Jul →
dust2	13–9	0.06	29%	30 Jun →
mirage	0–13	-0.02	56%	29 Jun →
dust2	8–13	-0.00	42%	26 Jun →
dust2	13–11	-0.03	32%	26 Jun →
dust2	13–5	0.03	9%	25 Jun →
dust2	13–11	-0.01	29%	25 Jun →
dust2	13–3	0.03	45%	25 Jun →
dust2	10–13	0.02	27%	25 Jun →
mirage	6–13	-0.02	20%	24 Jun →
mirage	13–9	0.02	27%	22 Jun →
inferno	13–8	-0.02	31%	22 Jun →
mirage	13–3	0.09	35%	22 Jun →
dust2	13–9	-0.03	24%	19 Jun →
dust2	13–5	0.00	32%	18 Jun →
dust2	8–13	-0.03	21%	18 Jun →
mirage	13–3	-0.02	35%	18 Jun →
mirage	11–13	0.03	38%	18 Jun →