bettan

bettan — CS2 Stats

NO76561197976578278[U:1:16312550]Steam profile ↗✓ No bans

5,609Tracked matches60%Win rate2020Tracked since
CSDB Rating7.8 StrongPositional Player
FaceitLevel 10 · 3,027 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Aug 2026 (31 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 3,027 → 3,027
+76Tracked matches · now 5,609
+1.4ppWin rate · 58.6% → 60.0%

Rating over time

3,027Highest Faceit ELO seen on CSDB
72Days played since 2026-03-18

Faceit ELO

  • At peak — 3,027
  • Next: 3,500 ELO at 3,500 — 473 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-08-28
  • 2,500 ELO first seen 2026-08-28

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.GGbettanFACEITLevel 10 · 3,027 ELOSTANDINGTop 12.4% of rankedPEAK ELO3,027csdb.gg/stats

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Performance scores

Aim83
Positioning72
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY57–41–2Last 10057%Win rateLLWWWLWWWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −0.0pp headshot accuracy · −34ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 27%
  • Avg reaction 514ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 479ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 496ms

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: Positional Player — Positioning stands above the rest of this profile (+1.1 against its own average).

Aim8.3
Utility7.1
Positioning7.2
Opening Duels6.5
Clutch3.6

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 87% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.

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

Aim8.3
Positioning7.2
Utility7.1
Mechanics6.6
Opening Duels6.1
Win Impact8.3

Composite 7.8/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time532ms−12ms
first ⅓ avg 544ms → last ⅓ avg 532ms
Headshot accuracy27.1%+3.8%
first ⅓ avg 23.3% → last ⅓ avg 27.1%

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

0.17Best match rating · 13–6 · train, 7 May →
44%Best headshot accuracy · 3–13 · inferno, 12 Aug →
359msFastest reaction time · 13–10 · mirage, 17 Sept →
13–0Biggest win · train, 29 Apr →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
8–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 67% over 12vertigoWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
trainA2214–864%0.04
infernoA138–562%0.01
nukeB136–746%0.00
cacheS128–467%0.02
dust2B105–550%0.01
mirageA106–460%0.01
ancientS64–267%-0.00
vertigoC52–340%0.03
overpass—42–250%0.02
anubis—32–167%0.02
cache_b—20–20%-0.02

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7,227Matches
55%Win rate
1.18Avg K/D
90.1ADR
51%Headshot %

Clutches & streaks

38%1v1 clutch win
24%1v2 clutch win
22Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust258854%1.1417.4
Ancient42354%1.1317.7
Inferno34958%1.1417.6
Mirage33547%1.0817.4
Nuke30855%1.1017.5
Anubis27247%1.0717.1
Overpass13252%1.1416.7
Train10848%1.0917.6

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.

26.5%Headshot accuracy
35.4%Accuracy (enemy spotted)
37.5%Spray accuracy
79.5%Counter-strafing
10.2°Preaim
531msReaction time
50.1%T opening success
58.4%CT opening success
0.60Enemies flashed / flash
11.4%Flash assists
10.10HE damage / grenade
12.40Flashes / match

Recommended for you

Spend your practice time on Vertigo

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–130.0225%25 Sept →
dust26–130.0130%25 Sept →
nuke13–100.0027%25 Sept →
anubis13–80.0330%25 Sept →
inferno13–7-0.0621%25 Sept →
vertigo10–130.0626%24 Sept →
mirage13–10-0.0124%17 Sept →
train13–70.0837%17 Sept →
dust213–50.0630%16 Sept →
nuke7–13-0.0415%16 Sept →
dust213–40.0833%11 Sept →
overpass1–13-0.0230%7 Sept →
mirage13–90.0640%6 Sept →
train13–5-0.0226%6 Sept →
vertigo13–90.0421%4 Sept →
mirage22–20-0.0316%23 Aug →
cache13–100.0522%22 Aug →
nuke8–130.0318%21 Aug →
nuke11–130.0529%20 Aug →
dust213–100.0030%15 Aug →
cache16–12-0.0126%13 Aug →
inferno3–13-0.0544%12 Aug →
train11–13-0.0438%12 Aug →
dust213–70.0625%9 Aug →
inferno11–30.1226%5 Aug →
mirage13–110.1326%5 Aug →
vertigo4–130.0339%4 Aug →
dust210–130.0217%3 Aug →
mirage6–13-0.0221%3 Aug →
ancient13–110.0621%28 Jun →
train13–100.0729%26 Jun →
nuke13–110.0416%25 Jun →
dust26–13-0.0435%23 Jun →
train7–00.0627%22 Jun →
nuke14–160.0125%21 Jun →
train13–30.0633%16 Jun →
anubis11–130.0117%14 Jun →
nuke13–8-0.0326%8 Jun →
mirage5–13-0.0413%31 May →
train12–120.0230%29 May →
cache13–60.0929%28 May →
cache13–50.0124%23 May →
inferno13–90.0424%23 May →
overpass13–30.1216%23 May →
overpass10–130.0120%22 May →
train13–4-0.0224%22 May →
vertigo8–13-0.0413%21 May →
mirage5–130.0222%21 May →
cache8–13-0.0231%19 May →
dust213–100.0026%18 May →
cache8–13-0.0117%16 May →
inferno13–80.0820%15 May →
inferno12–160.0221%14 May →
nuke9–13-0.0219%13 May →
nuke16–13-0.046%10 May →
cache12–12-0.0316%9 May →
inferno13–60.0419%8 May →
cache13–50.0213%8 May →
cache13–10-0.0323%7 May →
train13–60.1737%7 May →
cache13–40.0820%6 May →
ancient13–10-0.0425%5 May →
inferno8–13-0.0029%5 May →
nuke13–70.0223%1 May →
cache3–13-0.0230%30 Apr →
train13–00.1625%29 Apr →
cache13–40.0828%29 Apr →
train3–13-0.0230%28 Apr →
nuke13–60.0236%26 Apr →
inferno13–11-0.0117%23 Apr →
ancient13–110.005%23 Apr →
ancient13–80.0026%21 Apr →
train13–90.0427%20 Apr →
inferno13–6-0.0217%19 Apr →
train13–30.0630%14 Apr →
train13–70.0629%12 Apr →
train6–130.0333%11 Apr →
ancient14–16-0.0020%11 Apr →
mirage13–90.0325%11 Apr →
train13–70.0228%10 Apr →
dust210–13-0.0523%9 Apr →
ancient6–13-0.0519%9 Apr →
nuke8–13-0.0419%8 Apr →
train10–13-0.0127%8 Apr →
overpass13–11-0.0314%5 Apr →
train13–20.1039%5 Apr →
inferno13–11-0.0118%4 Apr →
anubis16–130.0327%4 Apr →
cache_b3–13-0.0624%30 Mar →
nuke14–160.0117%30 Mar →
vertigo13–80.0523%30 Mar →
inferno11–13-0.0114%29 Mar →
dust26–13-0.0116%28 Mar →
mirage6–13-0.0418%27 Mar →
train6–130.0320%26 Mar →
train8–13-0.0130%25 Mar →
train13–70.0840%24 Mar →
train10–130.0517%20 Mar →
mirage13–70.0127%18 Mar →
cache_b9–130.0214%18 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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