꧁乂✰ Bankai !! ✰乂꧂

꧁乂✰ Bankai !! ✰乂꧂ — CS2 Stats

ZA76561198009971470[U:1:49705742]Steam profile ↗✓ No bans

4,161Tracked matches33%Win rate2021Tracked since
2,523Hours in CS
CSDB Rating2.2 Learning
Premier CS Rating1,429Grey band · top ~93.9% of ranked players (population est.)
CSDB Leaderboard#17740 of 22705 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanSilver II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), 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.

MetricThis playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate34.8%42.1%42.1%7.3% short
Shot accuracy10.2%12.9%12.1%1.9% short
Kill/death ratio0.691.000.990.30 short
Match win rate29.4%42.9%43.9%14.5% short

This profile sits below the typical Level 3 player on every metric we can compare.

Widest gap: Match win rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG꧁乂✰ Bankai !! ✰乂꧂FACEITLevel 2STANDINGTop 97.9% of rankedPREMIER1,429 · Grey bandcsdb.gg/stats

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Performance scores

Aim9
Positioning32
Utility66

0–100 skill scores via Leetify.

Recent form

COLD31672Last 10031%Win rateLWLLWLLWLL

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

Player DNA

Aim0.9
Aggression4.2
Utility6.6
Positioning3.2
Opening Duels0.5

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 73% playstyle similarity

Most alike: utility contribution, 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. 757ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim0.9
Positioning3.2
Utility6.6
Mechanics3.3
Opening Duels0.5
Win Impact0.0

Composite 2.2/10 (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 time756ms−16ms
first ⅓ avg 772ms → last ⅓ avg 756ms
Headshot accuracy9.9%−1.1%
first ⅓ avg 11.0% → last ⅓ avg 9.9%

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

0.08Best rating — dust2 13–8
131Biggest win — dust2
4Longest win streak
69In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 40% over 43infernoWeakest map · 19% over 16
MapGradePlayedRecordWin rateAvg rating
dust2C43172640%-0.03
mirageD2151624%-0.03
infernoD1631319%-0.04
nukeC135838%-0.05
ancient3030%-0.04
anubis21150%-0.04
cache2020%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (19% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

78,932Lifetime kills
0.69K/D
7,013Matches
29.4%Match win rate
34.8%Headshot %
10.2%Shot accuracy
6,402MVPs
2,523Hours (in match)
5,036Bombs planted
614Bombs defused

Most-used weapons

PP-Bizon13,933
MP98,279
MAC-106,246
AWP5,377
P903,615
Tec-93,492
MP73,099

Lifetime map wins

16,175dust2
4,902nuke
4,869inferno
1,660vertigo
242train
112lake
92office
61italy

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

Faceit stats

Combat

2Matches
0%Win rate
0.31Avg K/D
ADR
34%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

9.9%Headshot accuracy
27.7%Accuracy (enemy spotted)
38.6%Spray accuracy
65.1%Counter-strafing
17.0°Preaim
757msReaction time
30.9%T opening success
32.9%CT opening success
0.65Enemies flashed / flash
7.6%Flash assists
11.18HE damage / grenade
9.70Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 17.0006° — above the 12° mark we flag

    Aim Training
  2. 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 9.8794% — below the 15% mark we flag

    Aim Training
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 756.8579ms — above the 700ms mark we flag

    Aim Training
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.

19% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno3–13-0.037%28 Aug
mirage13–5-0.0117%28 Aug
nuke1–13-0.088%28 Aug
dust26–130.0214%28 Aug
dust213–10.024%28 Aug
mirage5–13-0.0715%28 Aug
dust24–13-0.039%28 Aug
dust213–7-0.008%28 Aug
inferno3–13-0.0214%25 Aug
mirage6–13-0.0212%25 Aug
ancient8–13-0.068%25 Aug
mirage13–110.026%22 Aug
nuke13–20.074%22 Aug
dust26–13-0.0513%22 Aug
inferno11–13-0.080%22 Aug
dust211–13-0.0514%22 Aug
mirage8–13-0.0413%22 Aug
dust213–9-0.077%22 Aug
dust213–9-0.036%22 Aug
dust216–12-0.009%21 Aug
anubis13–7-0.033%21 Aug
nuke5–13-0.059%21 Aug
inferno11–13-0.0120%21 Aug
cache3–13-0.086%21 Aug
mirage6–13-0.134%21 Aug
dust213–80.086%20 Aug
mirage3–13-0.0121%20 Aug
dust24–130.0714%20 Aug
cache5–13-0.0211%19 Aug
mirage11–130.0115%19 Aug
inferno16–12-0.0311%19 Aug
mirage2–13-0.119%19 Aug
mirage8–13-0.0911%19 Aug
dust213–7-0.0910%19 Aug
mirage6–13-0.0211%18 Aug
dust214–160.0015%16 Aug
dust29–13-0.0113%16 Aug
dust212–16-0.0112%16 Aug
inferno5–13-0.092%16 Aug
dust213–7-0.029%16 Aug
mirage3–13-0.075%16 Aug
dust213–10.0218%16 Aug
mirage13–40.049%16 Aug
nuke11–13-0.093%15 Aug
inferno13–10-0.0211%15 Aug
nuke3–13-0.0140%15 Aug
mirage11–13-0.0323%10 Aug
dust213–90.0211%10 Aug
nuke13–11-0.0815%10 Aug
nuke9–13-0.1011%10 Aug
dust213–5-0.0314%10 Aug
dust25–13-0.069%9 Aug
dust210–13-0.1114%9 Aug
dust21–13-0.0610%8 Aug
nuke10–13-0.028%8 Aug
inferno3–13-0.069%8 Aug
nuke5–13-0.108%8 Aug
ancient7–13-0.1013%8 Aug
mirage13–9-0.0122%8 Aug
inferno13–9-0.0716%8 Aug
dust24–13-0.0813%8 Aug
dust23–130.0114%8 Aug
dust22–13-0.1217%7 Aug
dust28–13-0.118%7 Aug
inferno3–130.0132%7 Aug
mirage3–13-0.016%7 Aug
nuke13–9-0.078%7 Aug
dust213–11-0.0815%7 Aug
dust210–13-0.067%7 Aug
nuke13–11-0.070%6 Aug
dust211–13-0.0016%5 Aug
inferno8–13-0.0815%5 Aug
dust213–9-0.056%5 Aug
dust26–13-0.0415%5 Aug
dust27–13-0.0712%3 Aug
dust215–15-0.0110%3 Aug
mirage3–13-0.020%2 Aug
inferno8–130.044%2 Aug
anubis3–13-0.0511%2 Aug
inferno13–16-0.0611%2 Aug
dust215–150.0114%2 Aug
nuke13–60.0313%2 Aug
mirage8–13-0.032%31 Jul
dust213–70.0216%31 Jul
dust23–130.0116%31 Jul
mirage9–13-0.0314%31 Jul
nuke5–13-0.0316%31 Jul
ancient11–130.037%31 Jul
mirage4–13-0.017%31 Jul
inferno9–13-0.1113%31 Jul
inferno9–130.019%30 Jul
mirage13–11-0.0612%30 Jul
dust27–13-0.115%30 Jul
dust213–9-0.0610%30 Jul
dust213–10-0.068%30 Jul
dust28–130.0411%29 Jul
dust27–13-0.0217%29 Jul
dust213–11-0.0412%29 Jul
dust28–13-0.0927%28 Jul
inferno7–13-0.0210%28 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →