Bell

Bell — CS2 Stats

DE76561199191888381[U:1:1231622653]Steam profile ↗✓ No bans

416Tracked matches52%Win rate2022Tracked since
997Hours in CS13Hrs last 2 wks
CSDB Rating4.3 DevelopingPositional Player
CSDB Leaderboard#47268 of 258310 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 22,668 +1,081 17 Dec – 18 May · 9 days played
21,53324,028peak 24,02817 Dec18 May
24,028Peak Premier in tracked matches
57Days played since 2025-12-17

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

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate38.1%44.8%45.7%7.6% short
Shot accuracy5.8%12.4%12.7%6.9% short
Kill/death ratio1.131.031.05above
Match win rate44.4%45.2%45.7%1.3% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBellFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim48
Positioning60
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY49–40–11Last 10049%Win rateWLLWLTWLWW

Last 10 vs previous 10: 0pp win rate · −0.05 avg rating · −5.1pp headshot accuracy · +16ms 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 -0.00
  • Avg headshot accuracy 7%
  • Avg reaction 528ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 7%
  • Avg reaction 577ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 10%
  • Avg reaction 570ms

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 (+1.5 against its own average).

Aim4.8
Utility3.3
Positioning6.0
Opening Duels4.3
Clutch4.2

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

s1mple

Plays most like s1mple 75% 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

Areas to improve

T-side openings. Opening success drops from 56% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 568ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 57% 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

Aim4.8
Positioning6.0
Utility3.3
Mechanics1.5
Opening Duels4.2
Win Impact5.6

Composite 4.3/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time575ms+8ms
first ⅓ avg 567ms → last ⅓ avg 575ms
Headshot accuracy11.1%−5.1%
first ⅓ avg 16.2% → last ⅓ avg 11.1%

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

0.32Best match rating · 9–1 · nuke, 16 Aug →
41%Best headshot accuracy · 1–13 · inferno, 21 Dec →
383msFastest reaction time · 8–13 · mirage, 5 Apr →
13–1Biggest win · ancient, 10 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 86% over 7dust2Weakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
infernoA2514–1156%0.02
mirageC187–1139%0.01
nukeC146–843%0.06
ancientS118–373%0.01
cacheC83–538%0.03
dust2D81–713%-0.01
anubisS76–186%-0.01
vertigo—42–250%0.08
overpass—32–167%0.06
debris—10–10%-0.17
train—10–10%-0.03

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.

Lifetime stats

25,300Lifetime kills
1.13K/D · Top 50% of Level 6 players
1,296Matches
44.4%Match win rate
38.1%Headshot %
5.8%Shot accuracy
3,617MVPs
438Hours (in match)
1,396Bombs planted
308Bombs defused

Most-used weapons

AK-479,408
AWP2,713
MP9521
Knife489

Lifetime map wins

2,241inferno
1,069nuke
710dust2
630vertigo
96train
51office
40lake
23italy

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

Faceit stats

Combat

300Matches
50%Win rate
1.18Avg K/D
85.7ADR
35%Headshot %

Clutches & streaks

41%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage8552%1.2518.0
Ancient6154%1.1417.5
Cache4159%1.1217.5
Inferno3941%1.1818.6
Nuke2454%1.5018.3
Dust22335%0.8112.5
Anubis1839%1.1117.4
Overpass560%1.1218.0

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.

11.0%Headshot accuracy
35.3%Accuracy (enemy spotted)
36.7%Spray accuracy
56.9%Counter-strafing
9.0°Preaim
568msReaction time
37.6%T opening success
56.4%CT opening success
0.40Enemies flashed / flash
5.7%Flash assists
7.30HE damage / grenade
4.58Flashes / 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 11.012% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3996 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 37.5564% — 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
inferno13–9-0.046%7 Oct →
mirage1–13-0.030%7 Oct →
mirage11–130.0411%30 Sept →
nuke9–10.136%25 Sept →
inferno6–9-0.1114%25 Sept →
cache12–12-0.070%23 Sept →
mirage8–00.006%23 Sept →
debris1–9-0.177%23 Sept →
cache13–30.1114%23 Sept →
ancient13–8-0.0010%17 Sept →
dust29–13-0.066%4 Sept →
inferno9–70.0115%26 Aug →
nuke9–10.3214%16 Aug →
nuke12–140.1117%29 Jul →
cache6–13-0.0011%29 Jul →
mirage15–150.0412%29 Jul →
mirage7–13-0.0417%28 Jul →
ancient13–7-0.019%26 Jul →
dust213–10-0.0218%22 Jul →
vertigo13–11-0.007%21 Jul →
cache9–13-0.0210%20 Jul →
ancient13–9-0.0113%19 Jul →
mirage5–13-0.085%5 Jul →
nuke11–130.0217%3 Jul →
train3–10-0.038%2 Jul →
ancient13–80.1117%30 Jun →
mirage13–80.0110%30 Jun →
inferno9–7-0.0421%24 Jun →
inferno5–9-0.1018%16 Jun →
mirage2–13-0.0112%10 Jun →
ancient13–1-0.008%10 Jun →
cache13–90.058%10 Jun →
nuke12–120.0418%10 Jun →
ancient10–130.038%4 Jun →
cache11–130.147%4 Jun →
nuke13–10.2012%4 Jun →
overpass13–70.1115%4 Jun →
ancient11–13-0.0410%30 May →
vertigo9–20.2511%30 May →
inferno3–9-0.077%30 May →
inferno9–20.2117%30 May →
inferno4–9-0.0810%30 May →
mirage13–30.0116%18 May →
nuke10–13-0.0618%13 May →
nuke2–90.0333%9 May →
inferno8–80.0317%9 May →
inferno8–8-0.0110%9 May →
inferno9–70.0813%9 May →
inferno8–80.0727%9 May →
inferno13–100.0415%9 May →
inferno9–20.1616%1 May →
cache1–130.0213%30 Apr →
cache7–10.059%30 Apr →
dust23–13-0.0131%14 Apr →
overpass13–40.0415%14 Apr →
dust212–120.069%5 Apr →
mirage8–130.1412%5 Apr →
nuke13–60.1111%2 Apr →
mirage12–120.0014%1 Apr →
dust212–12-0.0118%1 Apr →
dust24–13-0.0817%24 Mar →
anubis13–3-0.003%16 Mar →
nuke13–10-0.0023%10 Mar →
ancient16–140.0313%5 Mar →
overpass13–160.0322%23 Feb →
vertigo10–130.0521%16 Feb →
inferno8–80.1417%16 Feb →
mirage4–13-0.0525%11 Feb →
anubis13–5-0.0115%8 Feb →
anubis13–10.0113%4 Feb →
mirage13–11-0.0113%2 Feb →
inferno13–50.0314%30 Jan →
mirage5–13-0.067%26 Jan →
anubis13–8-0.0526%25 Jan →
anubis13–4-0.076%23 Jan →
nuke5–13-0.0714%23 Jan →
nuke7–130.0117%16 Jan →
inferno15–150.0415%15 Jan →
inferno13–7-0.0016%14 Jan →
inferno13–70.0317%14 Jan →
ancient13–90.068%5 Jan →
mirage10–60.1518%3 Jan →
vertigo6–90.0315%3 Jan →
inferno9–30.2118%3 Jan →
inferno5–9-0.1018%3 Jan →
inferno9–50.038%3 Jan →
dust215–150.0311%27 Dec →
mirage13–6-0.0311%24 Dec →
anubis4–13-0.0217%24 Dec →
inferno1–13-0.0541%21 Dec →
inferno13–4-0.0017%21 Dec →
nuke1–13-0.0517%21 Dec →
nuke13–30.0920%21 Dec →
ancient1–13-0.0139%21 Dec →
mirage13–90.0515%21 Dec →
anubis13–110.0810%19 Dec →
mirage13–30.038%19 Dec →
inferno13–20.1117%19 Dec →
ancient13–5-0.019%19 Dec →
dust29–13-0.0118%17 Dec →

Match data via Leetify.

Recent teammates

Milestones

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

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