cheerbear

cheerbear — CS2 Stats

DK76561198353428427[U:1:393162699]Steam profile ↗✓ No bans

485Tracked matches39%Win rate2022Tracked since
465Hours in CS2Hrs last 2 wks
CSDB Rating4.2 DevelopingPositional Player
Premier CS Rating15,613Purple band · top ~26% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 May 2026 (174 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: 15,613 -849 30 Mar – 5 May · 4 days played
15,61316,462peak 16,46230 Mar5 May
16,578Peak Premier in tracked matches
43Days played since 2025-08-04

Premier CS Rating

  • 849 below peak (16,462)
  • -643 over 30 days · declining
  • Next: Pink band at 20,000 — 4,387 to go
  • Reached: Purple band · Blue band · Light Blue band

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 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate40.1%41.8%42.7%2.6% short
Shot accuracy12.1%12.2%11.2%above
Kill/death ratio0.710.980.990.28 short
Match win rate40.3%43.3%43.9%3.6% short

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

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGcheerbearFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER15,613 · 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
Positioning47
Utility43

0–100 skill scores via Leetify.

Recent form

COLD42–53–5Last 10042%Win rateLWLWTTLLLL

Last 10 vs previous 10: −40pp win rate · +0.00 avg rating · +3.4pp headshot accuracy · −73ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 541ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 537ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 573ms

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 (+1.8 against its own average).

Aim4.9
Utility4.3
Positioning4.7
Opening Duels2.7
Clutch0.0

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

Twistzz

Plays most like Twistzz 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower 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. 600ms 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
Positioning4.7
Utility4.3
Mechanics5.0
Opening Duels2.6
Win Impact1.4

Composite 4.2/10 (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+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time612ms−28ms
first ⅓ avg 640ms → last ⅓ avg 612ms
Headshot accuracy13.7%−0.4%
first ⅓ avg 14.1% → last ⅓ avg 13.7%

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 · 13–0 · inferno, 6 Aug →
34%Best headshot accuracy · 4–13 · dust2, 6 Aug →
391msFastest reaction time · 1–13 · shelter, 16 Aug →
13–0Biggest win · inferno, 6 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–4In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 50% over 14mirageWeakest map · 38% over 26
MapGradePlayedRecordWin rateAvg rating
mirageC2610–1638%-0.04
shelterC208–1240%0.01
dust2B209–1145%-0.02
infernoB147–750%-0.01
nukeB84–450%-0.04
overpass—41–325%-0.05
cache—32–167%-0.04
anubis—21–150%-0.05
ancient—20–20%-0.03
stronghold—10–10%-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 26). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

8,144Lifetime kills
0.71K/D
766Matches
40.3%Match win rate
40.1%Headshot %
12.1%Shot accuracy
828MVPs
264Hours (in match)
927Bombs planted
137Bombs defused

Most-used weapons

Lifetime map wins

1,390inferno
753vertigo
628dust2
335nuke
96train
77office
26cbble
18italy

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

Faceit stats

Combat

4Matches
25%Win rate
0.41Avg K/D
55.4ADR
57%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLL

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.

13.8%Headshot accuracy
33.5%Accuracy (enemy spotted)
27.4%Spray accuracy
72.6%Counter-strafing
9.6°Preaim
600msReaction time
47.2%T opening success
33.7%CT opening success
0.51Enemies flashed / flash
4.2%Flash assists
7.00HE damage / grenade
8.29Flashes / 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 13.8273% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 33.6602% — below the 40% mark we flag

Spend your practice time on Mirage

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

38% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.0221%23 Oct →
shelter13–100.0614%13 Oct →
shelter2–13-0.057%13 Oct →
shelter13–100.0720%11 Oct →
shelter12–12-0.0113%8 Oct →
shelter12–120.0220%8 Oct →
shelter6–13-0.0118%20 Sept →
shelter5–130.0112%27 Aug →
shelter11–130.0224%25 Aug →
shelter1–13-0.0712%16 Aug →
shelter9–13-0.0421%16 Aug →
shelter13–9-0.0013%9 Aug →
shelter9–13-0.0017%8 Aug →
shelter13–3-0.0015%8 Aug →
shelter13–20.0615%7 Aug →
shelter13–10.016%7 Aug →
shelter13–10.058%7 Aug →
shelter10–130.025%5 Aug →
shelter5–13-0.049%2 Aug →
anubis13–7-0.0317%31 Jul →
mirage13–60.028%31 Jul →
shelter6–13-0.0211%21 Jul →
ancient10–13-0.048%17 Jul →
overpass1–13-0.0813%17 Jul →
shelter13–50.0811%10 Jul →
inferno10–13-0.0114%5 Jul →
nuke1–13-0.0616%2 Jul →
mirage0–13-0.088%5 May →
mirage13–6-0.0715%3 May →
cache6–13-0.0514%2 May →
cache13–9-0.0522%29 Apr →
cache13–3-0.0214%29 Apr →
mirage1–13-0.0513%29 Apr →
ancient9–13-0.038%7 Apr →
dust26–130.0227%7 Apr →
anubis7–13-0.0810%3 Apr →
nuke6–13-0.0219%30 Mar →
dust213–30.0420%30 Mar →
mirage1–13-0.055%30 Mar →
inferno13–10-0.0533%29 Mar →
mirage8–13-0.0717%28 Mar →
inferno7–130.018%28 Mar →
mirage9–13-0.0823%28 Mar →
dust216–13-0.0222%28 Mar →
dust211–13-0.0618%28 Mar →
dust213–7-0.0619%28 Mar →
mirage13–2-0.0515%27 Mar →
mirage13–8-0.056%27 Mar →
inferno10–13-0.035%26 Mar →
nuke16–14-0.0416%26 Mar →
dust216–120.0018%26 Mar →
dust216–13-0.0319%26 Mar →
mirage7–13-0.0313%26 Mar →
dust213–90.0120%26 Mar →
nuke13–6-0.0116%25 Mar →
stronghold6–13-0.0010%25 Mar →
overpass2–13-0.0321%25 Mar →
nuke9–13-0.0714%25 Mar →
mirage12–12-0.085%21 Mar →
mirage13–4-0.0714%18 Mar →
nuke13–2-0.0119%18 Mar →
inferno13–40.0115%10 Mar →
dust213–70.0215%10 Mar →
inferno13–4-0.0515%3 Mar →
dust213–50.0217%3 Mar →
dust22–13-0.0816%30 Jan →
mirage4–13-0.0214%30 Jan →
nuke13–11-0.0612%30 Jan →
inferno13–3-0.0229%26 Jan →
dust213–9-0.0414%26 Jan →
mirage1–13-0.105%26 Jan →
inferno12–12-0.0012%7 Jan →
dust25–13-0.088%7 Jan →
mirage10–13-0.0411%8 Aug →
nuke2–13-0.0617%8 Aug →
dust21–13-0.0720%8 Aug →
mirage0–10-0.0515%7 Aug →
inferno8–13-0.0516%7 Aug →
inferno13–10.0013%7 Aug →
dust211–13-0.0016%7 Aug →
mirage8–13-0.0714%7 Aug →
dust24–13-0.0512%7 Aug →
mirage13–11-0.0317%7 Aug →
mirage10–130.0427%7 Aug →
mirage13–100.0116%7 Aug →
dust24–13-0.0334%6 Aug →
mirage13–60.039%6 Aug →
dust29–13-0.047%6 Aug →
inferno13–50.0114%6 Aug →
inferno13–00.090%6 Aug →
dust29–13-0.0216%6 Aug →
dust210–13-0.022%6 Aug →
inferno7–13-0.0613%6 Aug →
mirage5–13-0.0611%6 Aug →
overpass13–10-0.0410%5 Aug →
overpass11–13-0.0717%5 Aug →
mirage15–15-0.0121%5 Aug →
mirage13–11-0.0411%4 Aug →
mirage8–13-0.0417%4 Aug →
mirage13–60.069%4 Aug →

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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