Banges

Banges — CS2 Stats

FI76561197974646103[U:1:14380375]Steam profile ↗✓ No bans

4,245Tracked matches48%Win rate2021Tracked since
CSDB Rating3.7 LearningSupport
Premier CS Rating11,556Blue band · top ~46.7% of ranked players (population est.)
FaceitLevel 5 · 800 ELOTop 67.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 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: 11,556 +1,557 28 Aug – 3 Nov · 25 days played
9,99913,551peak 13,55128 Aug3 Nov
Faceit ELO: 800 +0 28 Aug – 30 Oct · 5 observations
800800peak 80028 Aug30 Oct
13,628Peak Premier in tracked matches
800Highest Faceit ELO seen on CSDB
32Days played since 2026-08-28

Faceit ELO

  • At peak — 800
  • 0 over 30 days · steady
  • Next: Level 4 at 901 — 101 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-08-28
  • Level 2 first seen 2026-08-28

Premier CS Rating

  • 1,995 below peak (13,551)
  • -1,583 over 30 days · declining
  • Next: Purple band at 15,000 — 3,444 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-20
  • Light Blue band first seen 2026-08-28

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.

Share this profile

CSDB.GGBangesFACEITLevel 5 · 800 ELOSTANDINGTop 67.6% of rankedPREMIER11,556 · Blue band30 DAYS0 ELOPEAK ELO800csdb.gg/stats

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Performance scores

Aim33
Positioning33
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateWLWLWLTWLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +2.5pp headshot accuracy · +68ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 688ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 691ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 657ms

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 (+3.3 against its own average).

Aim3.3
Utility6.8
Positioning3.3
Opening Duels0.0
Clutch4.0

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 55% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

Reaction time. 654ms 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

Aim3.3
Positioning3.3
Utility6.8
Mechanics4.9
Opening Duels0.3
Win Impact4.4

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.03
first ⅓ avg -0.01 → last ⅓ avg -0.04
Reaction time662ms+13ms
first ⅓ avg 649ms → last ⅓ avg 662ms
Headshot accuracy12.2%−2.4%
first ⅓ avg 14.5% → last ⅓ avg 12.2%

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

0.14Best match rating · 9–5 · inferno, 12 Sept →
30%Best headshot accuracy · 1–9 · inferno, 26 Oct →
344msFastest reaction time · 2–13 · ancient, 23 Oct →
13–1Biggest win · nuke, 16 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–3In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 69% over 16dust2Weakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
nukeA2313–1057%-0.03
ancientA2212–1055%-0.02
infernoS1611–569%0.00
anubisC145–936%-0.04
mirageD92–722%-0.06
dust2D81–713%-0.06
cacheA74–357%-0.02
vertigo—10–10%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

511Matches
50%Win rate
0.72Avg K/D
58.1ADR
38%Headshot %

Clutches & streaks

40%1v1 clutch win
14%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient10858%0.7210.6
Nuke9361%0.7811.4
Inferno8852%0.7812.1
Anubis6942%0.7211.2
Dust24347%0.7210.6
Overpass1747%0.7210.5
Train1346%0.7510.4
Mirage838%0.426.8

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.

11.5%Headshot accuracy
31.2%Accuracy (enemy spotted)
32.1%Spray accuracy
71.9%Counter-strafing
11.9°Preaim
654msReaction time
32.2%T opening success
20.0%CT opening success
0.65Enemies flashed / flash
3.2%Flash assists
11.85HE damage / grenade
10.86Flashes / 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 11.4517% — below the 15% mark we flag

    Aim Training →
  2. 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 32.1813% — below the 40% mark we flag

Spend your practice time on Dust 2

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient16–14-0.029%3 Nov →
nuke10–13-0.0521%3 Nov →
nuke13–6-0.0415%3 Nov →
ancient8–13-0.0214%2 Nov →
nuke13–3-0.0512%2 Nov →
nuke2–13-0.0812%2 Nov →
vertigo8–80.048%2 Nov →
inferno13–10-0.0610%1 Nov →
cache7–13-0.0216%1 Nov →
dust24–13-0.107%1 Nov →
mirage9–13-0.0810%31 Oct →
nuke9–13-0.068%30 Oct →
mirage2–13-0.040%30 Oct →
mirage15–15-0.0615%30 Oct →
ancient13–70.0410%30 Oct →
ancient13–5-0.065%30 Oct →
inferno16–12-0.0117%30 Oct →
dust210–13-0.1017%28 Oct →
cache13–3-0.0110%28 Oct →
mirage8–13-0.127%28 Oct →
mirage13–9-0.0120%27 Oct →
nuke9–13-0.0511%27 Oct →
inferno10–13-0.0413%27 Oct →
mirage13–16-0.0812%27 Oct →
nuke4–9-0.0818%26 Oct →
inferno7–9-0.0215%26 Oct →
inferno1–9-0.1530%26 Oct →
anubis13–80.0012%25 Oct →
inferno13–110.0511%25 Oct →
nuke13–90.0212%24 Oct →
cache16–140.0015%24 Oct →
ancient13–9-0.036%24 Oct →
anubis9–13-0.125%23 Oct →
ancient2–13-0.050%23 Oct →
nuke13–100.0313%23 Oct →
anubis13–6-0.0213%23 Oct →
inferno13–80.069%23 Oct →
mirage6–13-0.0710%22 Oct →
nuke13–11-0.0312%22 Oct →
anubis6–13-0.0813%22 Oct →
ancient13–16-0.0510%19 Oct →
anubis6–130.0311%19 Oct →
nuke13–10-0.0311%19 Oct →
anubis8–13-0.0015%19 Oct →
nuke13–8-0.0713%18 Oct →
ancient13–11-0.0514%18 Oct →
ancient13–70.0019%16 Oct →
nuke13–90.0415%16 Oct →
nuke1–13-0.0717%15 Oct →
cache15–15-0.0612%15 Oct →
nuke1–13-0.0614%15 Oct →
ancient9–130.0612%13 Oct →
inferno10–13-0.0321%13 Oct →
ancient9–13-0.0411%12 Oct →
cache13–7-0.0816%11 Oct →
dust24–13-0.134%11 Oct →
nuke13–5-0.0228%11 Oct →
anubis10–13-0.0418%29 Sept →
ancient12–16-0.027%29 Sept →
mirage13–10-0.0414%29 Sept →
ancient13–16-0.087%29 Sept →
nuke13–6-0.065%29 Sept →
inferno13–10-0.0416%27 Sept →
dust213–20.0211%27 Sept →
anubis8–13-0.068%27 Sept →
dust210–13-0.0422%27 Sept →
inferno13–4-0.0415%22 Sept →
anubis13–4-0.0624%22 Sept →
ancient6–13-0.0512%22 Sept →
nuke4–13-0.0118%21 Sept →
dust28–13-0.0117%18 Sept →
cache13–30.0423%18 Sept →
inferno13–20.0317%18 Sept →
anubis13–5-0.079%18 Sept →
ancient16–14-0.0220%18 Sept →
nuke12–16-0.0510%18 Sept →
inferno16–120.0518%18 Sept →
ancient13–9-0.0014%18 Sept →
nuke13–30.0216%16 Sept →
inferno13–90.0418%16 Sept →
anubis4–13-0.0313%16 Sept →
ancient13–40.078%16 Sept →
nuke13–10.066%16 Sept →
nuke13–9-0.0216%15 Sept →
anubis13–5-0.076%14 Sept →
nuke3–13-0.0914%14 Sept →
anubis6–130.016%14 Sept →
mirage9–13-0.0915%14 Sept →
inferno9–60.1327%14 Sept →
inferno9–50.1415%12 Sept →
ancient8–13-0.078%11 Sept →
ancient16–14-0.038%10 Sept →
inferno11–13-0.0313%10 Sept →
ancient13–10-0.0418%9 Sept →
dust210–13-0.0618%9 Sept →
dust25–13-0.0617%8 Sept →
anubis11–13-0.029%8 Sept →
ancient8–13-0.0014%8 Sept →
cache8–13-0.0420%8 Sept →
ancient13–8-0.0014%8 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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