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( ͡⚆ ͜ʖ ͡⚆) — CS2 Stats

FI76561199257096291[U:1:1296830563]Steam profile ↗✓ No bans

594Tracked matches54%Win rate2025Tracked since
CSDB Rating3.7 Learning
Premier CS Rating8,791Light Blue band · top ~60.7% of ranked players (population est.)
CSDB Leaderboard#42713 of 58222 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG( ͡⚆ ͜ʖ ͡⚆)FACEITLevel 3STANDINGTop 90.6% of rankedPREMIER8,791 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim41
Positioning39
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY48–45–7Last 10048%Win rateLLWLWLWLWL

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Aim4.1
Aggression5.9
Utility4.2
Positioning3.9
Opening Duels2.8
Clutch2.6

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

NiKo

Plays most like NiKo 79% playstyle similarity

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

Where you differ: lower positioning profile; 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. 589ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.1
Positioning3.9
Utility4.2
Mechanics3.7
Opening Duels2.8
Win Impact6.2

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time587ms−23ms
first ⅓ avg 610ms → last ⅓ avg 587ms
Headshot accuracy13.3%−1.7%
first ⅓ avg 15.0% → last ⅓ avg 13.3%

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

0.13Best rating — nuke 13–3
13–1Biggest win — inferno
5Longest win streak
L2Current streak
4–4In matches decided by ≤2 rounds
15Overtime games

Map breakdown

mirageBest map · 59% over 22ancientWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
dust2B2614–1254%-0.03
mirageA2213–959%-0.03
ancientD154–1127%-0.03
infernoB157–847%-0.00
nukeB126–650%-0.01
cacheC73–443%-0.03
anubis—31–233%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

130Matches
52%Win rate
0.71Avg K/D
65.8ADR
42%Headshot %

Clutches & streaks

33%1v1 clutch win
15%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke2770%0.7611.8
Dust22642%0.629.3
Mirage2138%0.7011.3
Inferno1471%0.7112.8
Ancient1464%0.7711.2
Overpass1155%0.8312.8
Cache1040%0.7412.7
Anubis714%0.528.3

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.

13.5%Headshot accuracy
31.2%Accuracy (enemy spotted)
28.4%Spray accuracy
66.8%Counter-strafing
9.8°Preaim
589msReaction time
43.4%T opening success
39.0%CT opening success
0.55Enemies flashed / flash
3.7%Flash assists
7.96HE damage / grenade
7.47Flashes / 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.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.5492% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.0335% — below the 40% mark we flag

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.

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke3–130.0211%28 Aug →
mirage3–13-0.0913%28 Aug →
dust213–9-0.0416%28 Aug →
cache7–13-0.0117%28 Aug →
ancient16–13-0.0415%28 Aug →
ancient6–13-0.044%28 Aug →
dust213–6-0.0522%28 Aug →
ancient6–130.0017%28 Aug →
dust213–9-0.058%28 Aug →
dust29–13-0.055%28 Aug →
mirage13–4-0.0114%27 Aug →
dust211–13-0.0319%27 Aug →
mirage13–11-0.0718%27 Aug →
mirage13–10-0.019%27 Aug →
inferno11–130.0116%24 Aug →
mirage15–15-0.0211%24 Aug →
dust213–8-0.0710%24 Aug →
dust26–13-0.0811%20 Aug →
inferno13–2-0.0312%20 Aug →
mirage13–10-0.107%20 Aug →
dust213–8-0.0417%20 Aug →
ancient2–13-0.075%20 Aug →
cache8–13-0.0919%19 Aug →
mirage13–100.0522%19 Aug →
inferno13–9-0.0418%19 Aug →
ancient13–5-0.027%19 Aug →
dust23–13-0.1210%19 Aug →
nuke15–150.0215%19 Aug →
inferno16–140.0119%19 Aug →
mirage8–13-0.0415%19 Aug →
nuke13–30.139%19 Aug →
dust213–5-0.0121%17 Aug →
inferno9–130.069%17 Aug →
dust213–10-0.0517%17 Aug →
mirage15–15-0.016%7 Aug →
ancient7–13-0.069%7 Aug →
mirage16–13-0.0415%6 Aug →
inferno13–1-0.0113%6 Aug →
dust213–4-0.0029%6 Aug →
inferno13–100.0418%6 Aug →
nuke13–8-0.106%6 Aug →
nuke10–13-0.079%6 Aug →
nuke13–5-0.037%6 Aug →
inferno5–13-0.049%6 Aug →
ancient8–13-0.0213%31 Jul →
inferno8–13-0.0213%31 Jul →
dust213–8-0.0335%31 Jul →
ancient15–15-0.0122%31 Jul →
inferno13–16-0.066%31 Jul →
cache13–11-0.0615%31 Jul →
anubis13–80.0114%27 Jul →
dust213–2-0.0330%27 Jul →
dust216–12-0.0419%27 Jul →
dust27–130.0119%27 Jul →
mirage8–13-0.0113%25 Jul →
dust216–120.0818%25 Jul →
cache15–15-0.0419%25 Jul →
nuke13–40.0829%24 Jul →
dust23–13-0.0114%24 Jul →
mirage13–1-0.0412%24 Jul →
ancient13–80.1015%24 Jul →
mirage13–3-0.029%24 Jul →
dust25–13-0.0516%23 Jul →
mirage8–4-0.037%23 Jul →
inferno7–130.018%23 Jul →
dust211–130.0122%23 Jul →
mirage13–6-0.0722%23 Jul →
mirage5–13-0.056%23 Jul →
mirage13–9-0.0419%23 Jul →
nuke5–13-0.0414%22 Jul →
mirage2–13-0.0614%22 Jul →
ancient4–13-0.0830%22 Jul →
cache9–130.0215%22 Jul →
anubis15–15-0.0315%22 Jul →
mirage13–30.0226%22 Jul →
nuke13–11-0.0621%22 Jul →
dust29–13-0.0711%22 Jul →
nuke16–120.0718%22 Jul →
inferno13–60.028%22 Jul →
mirage7–13-0.0725%21 Jul →
dust213–60.029%21 Jul →
nuke14–16-0.0325%21 Jul →
dust28–13-0.0116%21 Jul →
inferno8–130.0212%20 Jul →
ancient13–9-0.0413%20 Jul →
inferno13–70.0125%20 Jul →
inferno15–15-0.0114%20 Jul →
ancient10–13-0.0421%20 Jul →
cache13–90.0113%20 Jul →
mirage13–3-0.0218%16 Jul →
nuke0–13-0.130%16 Jul →
ancient0–5-0.050%16 Jul →
mirage4–13-0.0114%16 Jul →
anubis9–13-0.109%16 Jul →
ancient1–5-0.068%16 Jul →
ancient9–13-0.0510%16 Jul →
cache13–9-0.0619%16 Jul →
dust210–13-0.058%16 Jul →
dust26–13-0.0825%16 Jul →
dust213–60.0917%15 Jul →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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