Belfer

Belfer — CS2 Stats

PL76561198844754382[U:1:884488654]Steam profile ↗✓ No bans

1,535Tracked matches60%Win rate2020Tracked since
6,354Hours in CS43Hrs last 2 wks
CSDB Rating5.8 SolidSupport
Premier CS Rating15,102Purple band · top ~28% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

Share this profile

CSDB.GGBelferFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER15,102 · Purple bandcsdb.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

Aim49
Positioning57
Utility75

0–100 skill scores via Leetify.

Recent form

HOT59–40–1Last 10059%Win rateLWWLWWWWWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +1.7pp headshot accuracy · +23ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 602ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 11%
  • Avg reaction 627ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 10%
  • Avg reaction 615ms

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 (+2.5 against its own average).

Aim4.9
Utility7.5
Positioning5.7
Opening Duels2.1
Clutch4.6

High utility contribution

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

iM

Plays most like iM 63% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: higher utility contribution; 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. 627ms 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

Aim4.9
Positioning5.7
Utility7.5
Mechanics5.5
Opening Duels4.2
Win Impact8.3

Composite 5.8/10 (Solid), 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+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time633ms+55ms
first ⅓ avg 577ms → last ⅓ avg 633ms
Headshot accuracy9.6%−2.9%
first ⅓ avg 12.6% → last ⅓ avg 9.6%

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

0.13Best match rating · 9–1 · mirage, 23 Oct →
27%Best headshot accuracy · 13–4 · dust2, 9 Oct →
414msFastest reaction time · 13–5 · anubis, 2 Nov →
13–1Biggest win · nuke, 22 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
10–10In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 75% over 12cacheWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
nukeS2316–770%0.02
infernoS2215–768%0.01
dust2C177–1041%-0.01
mirageS129–375%0.02
ancientS96–367%0.02
cacheD91–811%-0.00
anubisS75–271%0.00
vertigo—10–10%0.03

Across the last 100 tracked matches.

Lifetime stats

157,938Lifetime kills
0.97K/D
8,169Matches
44.8%Match win rate
38.5%Headshot %
13.5%Shot accuracy
19,616MVPs
3,465Hours (in match)
10,390Bombs planted
1,767Bombs defused

Most-used weapons

AK-4744,625
AWP13,733
FAMAS5,960
Negev5,467
MAC-103,258

Lifetime map wins

14,695inferno
13,596nuke
7,934vertigo
5,724dust2
5,144train
545cbble
148office
119lake

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

Faceit stats

Combat

725Matches
50%Win rate
0.96Avg K/D
80.6ADR
33%Headshot %

Clutches & streaks

43%1v1 clutch win
27%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Vertigo3355%0.9914.8
Nuke2669%0.9915.2
Ancient1656%0.8617.3
Inferno1233%0.9415.8
Mirage1136%0.6812.9
Anubis1010%0.7313.4
Dust250%0.8114.0
Overpass367%1.1514.7

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.

9.7%Headshot accuracy
36.6%Accuracy (enemy spotted)
39.8%Spray accuracy
74.6%Counter-strafing
12.1°Preaim
627msReaction time
48.9%T opening success
44.9%CT opening success
0.69Enemies flashed / flash
6.9%Flash assists
8.89HE damage / grenade
16.68Flashes / 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 12.1129° — above the 12° mark we flag

    Aim Training →
  2. 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 9.7373% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Cache

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
vertigo11–130.0315%14 Nov →
nuke13–70.0210%13 Nov →
dust216–13-0.0311%13 Nov →
nuke11–130.0213%13 Nov →
nuke13–20.0915%13 Nov →
anubis13–90.029%13 Nov →
dust213–100.0213%12 Nov →
nuke13–20.0111%12 Nov →
inferno13–110.0213%12 Nov →
inferno13–50.022%12 Nov →
ancient13–20.046%11 Nov →
nuke13–110.0011%10 Nov →
inferno11–13-0.0514%10 Nov →
dust27–13-0.056%10 Nov →
dust28–13-0.0413%10 Nov →
dust27–13-0.008%9 Nov →
inferno13–5-0.0112%9 Nov →
ancient8–130.096%9 Nov →
cache13–8-0.0212%8 Nov →
mirage13–100.017%8 Nov →
nuke13–11-0.0110%8 Nov →
mirage16–140.0015%7 Nov →
cache10–13-0.033%7 Nov →
dust213–4-0.029%7 Nov →
nuke3–13-0.048%7 Nov →
nuke13–60.106%6 Nov →
inferno8–13-0.085%5 Nov →
dust211–13-0.018%5 Nov →
nuke13–6-0.016%5 Nov →
ancient10–13-0.0011%5 Nov →
dust211–130.0215%5 Nov →
nuke13–90.0312%5 Nov →
mirage13–11-0.076%4 Nov →
inferno16–13-0.006%4 Nov →
nuke11–13-0.0217%4 Nov →
inferno13–11-0.0013%3 Nov →
mirage7–13-0.053%3 Nov →
mirage16–130.1016%3 Nov →
nuke6–13-0.0425%3 Nov →
dust213–8-0.0015%3 Nov →
inferno13–50.0710%3 Nov →
anubis13–50.0411%2 Nov →
ancient10–13-0.004%31 Oct →
mirage10–130.0816%31 Oct →
dust213–90.0516%31 Oct →
inferno15–150.0615%31 Oct →
anubis11–13-0.014%30 Oct →
inferno7–130.047%30 Oct →
ancient13–80.046%30 Oct →
cache7–130.0211%29 Oct →
ancient13–20.0221%29 Oct →
cache7–13-0.0122%29 Oct →
inferno13–100.0111%28 Oct →
ancient13–9-0.046%27 Oct →
dust213–16-0.0515%27 Oct →
mirage13–7-0.014%26 Oct →
inferno13–4-0.015%26 Oct →
nuke8–130.002%26 Oct →
ancient16–130.056%26 Oct →
cache8–130.0713%25 Oct →
nuke13–70.0717%25 Oct →
mirage16–120.0212%24 Oct →
nuke13–30.0016%24 Oct →
dust29–13-0.0010%24 Oct →
ancient13–100.019%24 Oct →
cache14–160.006%23 Oct →
mirage9–10.1311%23 Oct →
cache5–13-0.046%23 Oct →
inferno13–70.007%23 Oct →
anubis3–13-0.0914%23 Oct →
cache10–130.0110%23 Oct →
inferno13–80.0714%22 Oct →
anubis16–140.0314%22 Oct →
nuke13–70.0411%22 Oct →
nuke13–10.0610%22 Oct →
inferno13–90.0211%22 Oct →
nuke13–90.0115%22 Oct →
dust210–13-0.0712%21 Oct →
nuke13–7-0.026%21 Oct →
dust213–30.0812%20 Oct →
anubis13–11-0.0110%19 Oct →
inferno11–13-0.018%19 Oct →
dust210–130.0011%19 Oct →
mirage13–11-0.033%19 Oct →
nuke13–4-0.0219%19 Oct →
inferno13–60.0319%15 Oct →
nuke13–80.0418%14 Oct →
inferno13–10.0316%14 Oct →
cache11–13-0.0315%14 Oct →
nuke8–130.076%13 Oct →
mirage9–130.016%12 Oct →
dust24–13-0.1021%12 Oct →
inferno1–13-0.0513%12 Oct →
inferno8–13-0.0417%11 Oct →
nuke10–13-0.039%11 Oct →
inferno13–60.028%11 Oct →
dust213–4-0.0127%9 Oct →
inferno13–60.0420%8 Oct →
anubis16–140.049%8 Oct →
mirage13–80.0316%8 Oct →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.