c1n1bun — CS2 Stats

76561198117965458[U:1:157699730]✓ No bans

627Tracked matches57%Win rate2020Tracked since
CSDB Rating5.6 SolidHybrid Rifler
Premier CS Rating23,637Top 50% of 819 CSDB-tracked playersPink band · top ~4.5% of ranked players (population est.)
CSDB Leaderboard#2733 of 11284 tracked
Ladder ranks via Leetify

Share this profile

CSDB.GGc1n1bunPREMIER23,637 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim63
Positioning48
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY52453Last 10052%Win rateWWLWWLLLWW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.3
Aggression5.1
Utility6.1
Positioning4.8
Opening Duels1.5
Clutch3.2

Strong CT-side openerEffective flashes

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 89% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

T-side openings. Opening success drops from 44% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 605ms 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

Aim6.3
Positioning4.8
Utility6.1
Mechanics5.6
Opening Duels1.8
Win Impact7.2

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time605ms−47ms
first ⅓ avg 651ms → last ⅓ avg 605ms
Headshot accuracy21.3%+1.2%
first ⅓ avg 20.1% → last ⅓ avg 21.3%

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

0.12Best rating — inferno 11–13
132Biggest win — mirage
6Longest win streak
W2Current streak
138In matches decided by ≤2 rounds
16Overtime games

Map breakdown

cacheBest map · 67% over 9ancientWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA30171357%-0.01
dust2A1710759%-0.01
infernoA169756%-0.01
cacheS96367%-0.00
ancientC83538%-0.00
overpassB84450%-0.01
nukeA53260%0.00
anubis4040%-0.04
train3030%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

159Matches
52%Win rate
1.18Avg K/D
80.9ADR
44%Headshot %

Clutches & streaks

36%1v1 clutch win
29%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage6057%1.2215.8
Ancient3250%1.0416.7
Inferno1968%1.5216.1
Anubis1753%0.9912.7
Nuke1443%1.1615.6
Vertigo838%1.0717.8
Dust2825%1.1917.6
Train10%0.466.0

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.

20.5%Headshot accuracy
33.8%Accuracy (enemy spotted)
36.5%Spray accuracy
75.2%Counter-strafing
10.9°Preaim
605msReaction time
27.5%T opening success
44.3%CT opening success
0.73Enemies flashed / flash
6.5%Flash assists
7.45HE damage / grenade
10.10Flashes / 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. 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 27.4534% — 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–30.0020%7 Aug
dust216–13-0.0316%11 Jul
anubis11–13-0.0510%11 Jul
mirage13–11-0.0215%11 Jul
mirage13–10-0.0315%10 Jul
dust214–16-0.0221%10 Jul
mirage0–13-0.06100%10 Jul
mirage10–13-0.0333%10 Jul
mirage13–11-0.048%10 Jul
cache13–9-0.068%10 Jul
dust213–110.0120%10 Jul
dust213–7-0.0710%10 Jul
inferno13–60.0731%10 Jul
cache11–130.0229%9 Jul
cache13–60.0215%9 Jul
mirage3–130.0214%9 Jul
cache13–100.0221%8 Jul
ancient16–12-0.0332%6 Jul
mirage7–13-0.0014%6 Jul
mirage3–13-0.0412%6 Jul
mirage13–7-0.029%5 Jul
dust210–13-0.0122%5 Jul
overpass6–13-0.0422%5 Jul
mirage13–11-0.0218%5 Jul
nuke13–11-0.0115%5 Jul
dust213–100.0127%28 Jun
mirage9–13-0.0313%28 Jun
dust23–13-0.0211%27 Jun
mirage3–13-0.0442%27 Jun
dust213–7-0.0123%27 Jun
dust28–13-0.0417%27 Jun
inferno11–13-0.0619%27 Jun
dust216–12-0.0122%26 Jun
mirage13–60.0113%26 Jun
inferno16–14-0.0019%26 Jun
mirage13–9-0.0113%25 Jun
mirage16–12-0.0026%23 Jun
dust213–60.0416%22 Jun
anubis9–13-0.066%22 Jun
mirage1–13-0.059%21 Jun
nuke16–140.0113%21 Jun
cache12–12-0.0121%1 May
cache13–100.0015%1 May
cache6–13-0.0827%1 May
cache13–100.0314%29 Apr
cache13–60.0223%29 Apr
mirage13–50.0024%14 Mar
anubis6–13-0.0231%14 Mar
ancient11–130.0428%13 Mar
mirage6–13-0.0421%11 Mar
nuke13–60.0519%11 Mar
mirage13–50.0231%10 Mar
overpass13–11-0.0410%9 Mar
mirage12–5-0.0111%9 Mar
mirage16–14-0.0213%9 Mar
inferno11–130.1241%8 Mar
inferno16–120.0420%8 Mar
mirage16–130.0317%8 Mar
ancient14–160.0521%7 Mar
nuke8–13-0.0019%7 Mar
mirage14–16-0.0113%7 Mar
ancient13–80.0520%6 Mar
ancient9–13-0.0119%6 Mar
inferno13–30.0323%6 Mar
overpass10–130.0218%5 Mar
dust29–13-0.0015%5 Mar
mirage6–13-0.0328%4 Mar
inferno6–13-0.0532%3 Mar
ancient15–15-0.0121%3 Mar
mirage5–130.008%3 Mar
anubis6–13-0.0522%3 Mar
mirage13–50.0130%3 Mar
mirage16–14-0.0317%2 Mar
mirage13–20.0518%22 Oct
inferno13–7-0.0524%23 Jul
overpass9–13-0.0221%23 Jul
inferno5–13-0.0720%22 Jul
inferno5–13-0.1123%22 Jul
train6–13-0.0512%22 Jul
inferno8–13-0.0525%22 Jul
dust29–130.0120%22 Jul
mirage3–13-0.0817%22 Jul
ancient5–13-0.0424%22 Jul
dust28–10.0416%22 Jul
dust213–11-0.0310%21 Jul
inferno7–13-0.039%21 Jul
overpass13–110.0328%21 Jul
nuke13–16-0.0426%20 Jul
train6–13-0.0521%20 Jul
inferno13–9-0.0126%20 Jul
overpass4–13-0.0614%19 Jul
inferno16–140.0022%18 Jul
overpass13–2-0.0415%18 Jul
train10–130.0719%18 Jul
dust212–120.0022%17 Jul
dust213–30.0423%17 Jul
ancient13–5-0.0617%16 Jul
inferno13–100.0513%16 Jul
overpass13–100.0931%16 Jul
mirage13–100.0118%15 Jul

Match data via Leetify.

Milestones

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