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BETONFINGER

BETONFINGER — CS2 Stats

76561197971203316[U:1:10937588]Steam profile ↗✓ No bans

3,710Tracked matches37%Win rate2020Tracked since
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating18,722Top 50% of 206,528 CSDB-tracked playersPurple band · top ~13.6% of ranked players (population est.)
CSDB Leaderboard#100140 of 253726 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (4 days ago). 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: 18,722 +1,734 30 Aug – 15 Oct · 19 days played
16,98822,139peak 22,13930 Aug15 Oct
22,139Peak Premier in tracked matches
16Days played since 2026-08-30

Premier CS Rating

  • 3,417 below peak (22,139)
  • -3,417 over 30 days · declining
  • Next: Pink band at 20,000 — 1,278 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-11
  • Purple band first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGBETONFINGERFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER18,722 · Purple bandcsdb.gg/stats

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Performance scores

Aim62
Positioning61
Utility49

0–100 skill scores via Leetify.

Recent form

COLD43–53–4Last 10043%Win rateLLLWWLLWLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −0.4pp headshot accuracy · +54ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 592ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 580ms

Last 20

  • 6–11–3 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 553ms

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 (+1.3 against its own average).

Aim6.2
Utility4.9
Positioning6.1
Opening Duels3.3
Clutch5.0

Strong CT-side openerLimited utility dependence

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

donk

Plays most like donk 84% 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

Counter-strafing. Only 70% 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

Aim6.2
Positioning6.1
Utility4.9
Mechanics4.4
Opening Duels4.4
Win Impact0.7

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 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 time552ms+11ms
first ⅓ avg 541ms → last ⅓ avg 552ms
Headshot accuracy15.1%−0.1%
first ⅓ avg 15.1% → last ⅓ avg 15.1%

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

0.09Best match rating · 13–2 · inferno, 29 Sept →
35%Best headshot accuracy · 4–13 · mirage, 30 Sept →
344msFastest reaction time · 13–2 · dust2, 29 Sept →
13–0Biggest win · dust2, 29 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
6–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 67% over 6infernoWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
dust2B2512–1348%-0.01
infernoD165–1131%-0.01
mirageC167–944%-0.01
nukeC146–843%0.00
ancientC135–838%-0.00
anubisB63–350%-0.01
cacheS64–267%-0.00
train—21–150%-0.01
office—10–10%-0.01
shelter—10–10%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,129Matches
51%Win rate
0.96Avg K/D
75.5ADR
36%Headshot %

Clutches & streaks

45%1v1 clutch win
24%1v2 clutch win
17Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis6351%0.9814.2
Inferno6156%1.0015.1
Dust25654%1.0115.2
Ancient4852%0.8413.2
Nuke2864%1.2215.2
Mirage2544%0.9212.8
Vertigo1040%0.7511.4
Overpass4100%1.4718.8

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.

15.0%Headshot accuracy
34.6%Accuracy (enemy spotted)
31.6%Spray accuracy
69.9%Counter-strafing
8.6°Preaim
547msReaction time
44.1%T opening success
51.3%CT opening success
0.53Enemies flashed / flash
6.4%Flash assists
9.19HE damage / grenade
4.88Flashes / match

Recommended for you

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.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
office10–13-0.0122%15 Oct →
inferno6–13-0.0314%15 Oct →
nuke9–130.0019%14 Oct →
anubis13–60.0614%14 Oct →
inferno13–50.0519%14 Oct →
dust29–13-0.018%14 Oct →
mirage11–13-0.0413%14 Oct →
cache13–10-0.0215%13 Oct →
dust29–13-0.0118%13 Oct →
cache7–13-0.0714%13 Oct →
dust26–13-0.0420%13 Oct →
nuke9–130.0212%13 Oct →
cache4–130.0018%13 Oct →
ancient13–50.0615%12 Oct →
inferno15–15-0.0115%12 Oct →
nuke15–150.0611%12 Oct →
mirage13–80.0125%12 Oct →
mirage6–13-0.087%12 Oct →
inferno15–15-0.0319%12 Oct →
nuke16–14-0.0018%12 Oct →
dust213–110.0211%12 Oct →
train13–20.0828%11 Oct →
train9–13-0.0922%11 Oct →
inferno8–13-0.079%11 Oct →
dust213–80.0518%11 Oct →
ancient4–13-0.0419%11 Oct →
ancient5–13-0.053%11 Oct →
dust213–9-0.0510%11 Oct →
ancient7–130.0211%2 Oct →
nuke11–13-0.019%2 Oct →
anubis13–20.0114%2 Oct →
inferno9–13-0.089%2 Oct →
nuke10–130.0120%1 Oct →
inferno5–130.0118%1 Oct →
dust213–3-0.0116%1 Oct →
inferno7–13-0.0615%1 Oct →
dust29–13-0.077%1 Oct →
mirage13–9-0.0516%30 Sept →
nuke14–16-0.0324%30 Sept →
nuke13–50.0810%30 Sept →
mirage4–13-0.0135%30 Sept →
mirage8–13-0.0722%30 Sept →
dust216–13-0.0211%30 Sept →
nuke7–13-0.0722%30 Sept →
ancient7–130.0110%30 Sept →
mirage6–130.0628%30 Sept →
inferno9–130.0114%30 Sept →
dust24–130.018%30 Sept →
nuke13–7-0.0119%30 Sept →
nuke13–10.0017%29 Sept →
dust213–10.0517%29 Sept →
inferno13–20.0915%29 Sept →
dust213–20.098%29 Sept →
cache13–50.0414%29 Sept →
dust213–00.0717%29 Sept →
ancient14–16-0.0611%29 Sept →
dust23–13-0.0717%29 Sept →
inferno12–16-0.0411%29 Sept →
shelter8–13-0.0515%28 Sept →
mirage9–130.0723%28 Sept →
mirage4–13-0.017%28 Sept →
anubis8–13-0.018%28 Sept →
nuke13–80.0217%28 Sept →
inferno13–11-0.040%28 Sept →
dust213–70.0226%28 Sept →
mirage13–110.0218%28 Sept →
dust26–13-0.073%28 Sept →
mirage13–00.069%28 Sept →
anubis13–100.0210%28 Sept →
inferno6–13-0.0013%27 Sept →
mirage13–4-0.0314%27 Sept →
anubis10–13-0.0618%27 Sept →
mirage13–6-0.0733%27 Sept →
ancient8–13-0.0616%27 Sept →
dust213–10-0.0215%27 Sept →
dust213–110.0112%26 Sept →
ancient13–5-0.0318%25 Sept →
nuke13–110.0131%25 Sept →
dust213–10-0.0814%25 Sept →
ancient6–13-0.0421%25 Sept →
ancient10–130.079%24 Sept →
cache13–70.0515%24 Sept →
dust210–13-0.0111%24 Sept →
mirage10–130.0313%24 Sept →
dust24–13-0.040%24 Sept →
nuke14–16-0.0417%24 Sept →
ancient13–90.0414%24 Sept →
cache13–9-0.0111%24 Sept →
ancient13–80.0615%23 Sept →
inferno11–13-0.0512%23 Sept →
dust215–150.0111%23 Sept →
mirage10–13-0.0114%23 Sept →
ancient13–30.0116%23 Sept →
dust29–13-0.0318%23 Sept →
mirage13–9-0.037%23 Sept →
inferno13–80.039%22 Sept →
inferno13–4-0.0123%22 Sept →
anubis10–13-0.0523%22 Sept →
dust28–130.0223%22 Sept →
dust211–13-0.0613%22 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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