Bane

Bane — CS2 Stats

76561198049941709[U:1:89675981]Steam profile ↗✓ No bans

3,122Tracked matches66%Win rate2020Tracked since
6,654Hours in CS23Hrs last 2 wks
CSDB Rating6.2 SolidSupport
Premier CS Rating22,919Top 25% of 212,695 CSDB-tracked playersPink band · top ~5.3% of ranked players (population est.)
CSDB Leaderboard#44478 of 259593 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,919 +1,983 29 Aug – 2 Nov · 18 days played
17,81622,919peak 22,91929 Aug2 Nov
22,919Peak Premier in tracked matches
1,020Highest Faceit ELO seen on CSDB
25Days played since 2026-08-29

Premier CS Rating

  • At peak — 22,919
  • +4,399 over 30 days · improving
  • Next: Red band at 25,000 — 2,081 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-29
  • Purple band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate40.4%46.8%48.2%7.8% short
Shot accuracy14.3%13.0%13.2%above
Kill/death ratio0.841.061.070.23 short
Match win rate41.8%46.3%46.9%5.2% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBaneFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER22,919 · Pink bandPEAK ELO1,020csdb.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

Aim56
Positioning58
Utility59

0–100 skill scores via Leetify.

Recent form

HOT61–37–2Last 10061%Win rateWWWLWWLWWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −3.3pp headshot accuracy · −28ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 534ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 586ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 600ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.4 against its own average).

Aim5.6
Utility5.9
Positioning5.8
Opening Duels2.6
Clutch3.8

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

ZywOo

Plays most like ZywOo 76% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 62% on T to 43% on CT — first contacts on the defending side are being lost.

Reaction time. 598ms 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

Aim5.6
Positioning5.8
Utility5.9
Mechanics5.4
Opening Duels5.6
Win Impact10.0

Composite 6.2/10 (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-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time596ms+56ms
first ⅓ avg 540ms → last ⅓ avg 596ms
Headshot accuracy14.9%+2.6%
first ⅓ avg 12.4% → last ⅓ avg 14.9%

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.

Personal bests

0.09Best match rating · 12–12 · inferno, 27 Sept →
27%Best headshot accuracy · 13–11 · inferno, 26 Sept →
398msFastest reaction time · 13–6 · inferno, 27 Sept →
13–1Biggest win · inferno, 11 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
17–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 73% over 15ancientWeakest map · 53% over 19
MapGradePlayedRecordWin rateAvg rating
infernoS2416–867%-0.00
ancientB1910–953%-0.02
cacheA169–756%-0.01
anubisS1511–473%-0.01
dust2A116–555%-0.02
nukeA95–456%-0.03
mirage—43–175%-0.03
vertigo—21–150%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (53% over 19). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

139,690Lifetime kills
0.84K/D
9,231Matches
41.8%Match win rate
40.4%Headshot %
14.3%Shot accuracy · Top 50% of Level 8 players
15,283MVPs
3,635Hours (in match)
8,693Bombs planted
1,808Bombs defused

Most-used weapons

AK-4736,938
SG 5538,401
AUG5,690
AWP5,163
FAMAS3,360

Lifetime map wins

25,248inferno
9,537dust2
6,079nuke
3,826vertigo
2,645cbble
2,350train
491office
249safehouse

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

Faceit stats

Combat

316Matches
53%Win rate
0.89Avg K/D
66.2ADR
39%Headshot %

Clutches & streaks

39%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis5064%0.9213.4
Inferno3468%1.1112.9
Ancient3361%0.8112.1
Dust22850%0.9313.9
Vertigo2467%0.8812.1
Cache933%0.7914.0
Nuke862%0.8512.5
Mirage560%1.1112.8

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.

15.1%Headshot accuracy
36.1%Accuracy (enemy spotted)
38.4%Spray accuracy
74.4%Counter-strafing
12.5°Preaim
598msReaction time
61.5%T opening success
43.3%CT opening success
0.60Enemies flashed / flash
10.1%Flash assists
11.12HE damage / grenade
7.37Flashes / 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 12.5378° — above the 12° mark we flag

    Aim Training →

Recent matches

MapScoreRatingHS%Date
ancient13–100.0120%2 Nov →
inferno13–50.0323%2 Nov →
dust213–70.0111%1 Nov →
inferno5–13-0.0315%1 Nov →
cache13–10-0.017%1 Nov →
nuke13–7-0.054%1 Nov →
mirage2–13-0.078%31 Oct →
dust213–11-0.0510%31 Oct →
nuke16–14-0.0417%31 Oct →
ancient4–13-0.0522%31 Oct →
nuke10–13-0.0314%31 Oct →
cache13–9-0.0120%30 Oct →
inferno13–9-0.0117%30 Oct →
ancient15–15-0.0416%30 Oct →
inferno3–13-0.0613%30 Oct →
anubis13–9-0.0215%30 Oct →
nuke13–90.0315%30 Oct →
ancient8–13-0.0118%25 Oct →
mirage13–8-0.0421%25 Oct →
anubis13–110.0622%25 Oct →
ancient12–50.0115%24 Oct →
cache13–70.0110%24 Oct →
cache13–50.0113%24 Oct →
inferno13–11-0.0017%24 Oct →
cache11–13-0.0113%24 Oct →
nuke7–13-0.0417%22 Oct →
cache9–130.0018%21 Oct →
cache13–90.0714%21 Oct →
nuke2–13-0.0418%21 Oct →
dust213–110.0210%19 Oct →
dust216–14-0.0011%19 Oct →
dust29–130.0621%19 Oct →
anubis13–50.0410%15 Oct →
ancient13–11-0.035%12 Oct →
cache11–13-0.0622%12 Oct →
dust211–13-0.0320%12 Oct →
inferno9–00.0527%12 Oct →
anubis7–13-0.0513%11 Oct →
inferno13–10.029%11 Oct →
anubis13–7-0.007%11 Oct →
ancient13–100.0111%4 Oct →
inferno13–11-0.0120%4 Oct →
inferno5–13-0.1021%4 Oct →
anubis19–15-0.027%4 Oct →
anubis8–13-0.0313%3 Oct →
inferno8–130.028%3 Oct →
inferno13–50.079%3 Oct →
ancient13–90.017%3 Oct →
mirage16–14-0.0218%2 Oct →
ancient8–13-0.0617%2 Oct →
mirage13–110.0116%2 Oct →
anubis13–10-0.0512%1 Oct →
ancient10–13-0.0419%1 Oct →
inferno13–11-0.0316%1 Oct →
cache13–6-0.033%30 Sept →
inferno13–8-0.0115%30 Sept →
dust26–13-0.0517%30 Sept →
ancient13–7-0.0515%30 Sept →
cache13–11-0.055%29 Sept →
anubis13–8-0.0126%29 Sept →
cache17–19-0.0213%29 Sept →
dust27–13-0.0311%29 Sept →
nuke8–13-0.0619%29 Sept →
ancient7–130.043%29 Sept →
inferno11–13-0.0311%28 Sept →
ancient8–13-0.0313%28 Sept →
cache13–5-0.0215%28 Sept →
vertigo4–13-0.0215%28 Sept →
nuke13–10-0.0111%27 Sept →
anubis13–8-0.0313%27 Sept →
ancient7–13-0.056%27 Sept →
vertigo13–9-0.088%27 Sept →
dust213–6-0.0312%27 Sept →
ancient13–60.0220%27 Sept →
inferno13–6-0.058%27 Sept →
inferno12–120.098%27 Sept →
ancient11–13-0.063%26 Sept →
inferno13–110.0027%26 Sept →
inferno13–60.0817%26 Sept →
anubis4–13-0.0214%26 Sept →
dust213–11-0.0413%25 Sept →
cache12–160.0312%25 Sept →
anubis13–60.0116%25 Sept →
ancient13–90.0319%25 Sept →
cache10–130.0312%23 Sept →
anubis16–13-0.0111%23 Sept →
inferno13–11-0.0413%23 Sept →
inferno13–110.0115%23 Sept →
ancient13–20.0215%23 Sept →
anubis3–130.0220%23 Sept →
dust28–13-0.0713%23 Sept →
inferno13–70.068%23 Sept →
cache11–13-0.0417%22 Sept →
inferno13–70.0116%22 Sept →
anubis13–6-0.015%22 Sept →
ancient13–8-0.038%22 Sept →
cache13–11-0.047%22 Sept →
inferno7–13-0.077%22 Sept →
nuke16–12-0.019%21 Sept →
inferno4–13-0.0711%21 Sept →

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 →

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