jokebearlover

jokebearlover — CS2 Stats

76561199018805230[U:1:1058539502]Steam profile ↗✓ No bans

214Tracked matches52%Win rate2025Tracked since
276Hours in CS16Hrs last 2 wks
CSDB Rating3.8 LearningClutch Specialist
Premier CS Rating4,307Grey band · top ~81.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (5 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: 4,307 +1,778 24 Aug – 29 Oct · 30 days played
2,5294,828peak 4,82824 Aug29 Oct
4,828Peak Premier in tracked matches
40Days played since 2026-08-12

Premier CS Rating

  • 521 below peak (4,828)
  • -16 over 30 days · steady
  • Next: Light Blue band at 5,000 — 693 to go

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 Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate36.4%38.2%39.9%3.5% short
Shot accuracy0.6%3.6%7.0%6.3% short
Kill/death ratio1.050.830.92above
Match win rate40.5%40.2%42.3%1.8% short

This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGjokebearloverPREMIER4,307 · Grey 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

Aim54
Positioning36
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY54–43–3Last 10054%Win rateLWWLWLWWLL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +1.5pp headshot accuracy · −22ms 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 -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 661ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 624ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 635ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+5.9 against its own average).

Aim5.4
Utility3.0
Positioning3.6
Opening Duels0.0
Clutch10.0

Reliable in 1v1s

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 94% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 639ms 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

Aim5.4
Positioning3.6
Utility3.0
Mechanics5.5
Opening Duels0.2
Win Impact5.6

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time630ms−87ms
first ⅓ avg 718ms → last ⅓ avg 630ms
Headshot accuracy11.8%−0.4%
first ⅓ avg 12.1% → last ⅓ avg 11.8%

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

0.11Best match rating · 13–7 · ancient, 16 Oct →
35%Best headshot accuracy · 7–13 · mirage, 10 Oct →
406msFastest reaction time · 0–4 · inferno, 26 Oct →
13–0Biggest win · cache, 27 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
4–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 71% over 21infernoWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
mirageB2312–1152%-0.02
dust2C219–1243%-0.02
nukeS2115–671%-0.01
infernoC176–1135%-0.04
cacheA74–357%-0.00
ancientS64–267%0.05
anubis—43–175%-0.00
vertigo—11–0100%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

5,480Lifetime kills
1.05K/D · Top 25% of Grey band
341Matches
40.5%Match win rate · Top 50% of Grey band
36.4%Headshot %
0.6%Shot accuracy
528MVPs
118Hours (in match)
293Bombs planted
80Bombs defused

Most-used weapons

Lifetime map wins

608dust2
467nuke
401inferno
141vertigo
28train
26office
11bank
9lake

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

Faceit stats

Combat

1Matches
100%Win rate
0.35Avg K/D
33.7ADR
50%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

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.

11.6%Headshot accuracy
34.7%Accuracy (enemy spotted)
35.6%Spray accuracy
74.9%Counter-strafing
8.9°Preaim
639msReaction time
19.7%T opening success
31.2%CT opening success
0.57Enemies flashed / flash
3.1%Flash assists
5.25HE damage / grenade
7.57Flashes / 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 11.6315% — below the 15% mark we flag

    Aim Training →
  2. 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 19.7324% — below the 40% mark we flag

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.

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache4–13-0.0815%2 Nov →
dust213–8-0.030%30 Oct →
dust213–80.0615%30 Oct →
inferno3–9-0.0215%30 Oct →
dust213–50.0216%30 Oct →
ancient7–130.0414%29 Oct →
ancient13–50.077%29 Oct →
dust213–8-0.018%28 Oct →
nuke10–130.0220%28 Oct →
inferno0–4-0.310%26 Oct →
mirage2–13-0.0211%26 Oct →
inferno13–5-0.039%26 Oct →
nuke12–40.0511%26 Oct →
mirage13–80.0211%26 Oct →
nuke13–11-0.078%23 Oct →
nuke13–90.009%23 Oct →
dust23–13-0.0511%21 Oct →
mirage13–16-0.082%21 Oct →
cache12–12-0.045%21 Oct →
cache13–6-0.0817%21 Oct →
nuke10–130.017%19 Oct →
dust21–13-0.0514%19 Oct →
nuke7–13-0.0211%17 Oct →
dust25–13-0.0411%17 Oct →
mirage13–100.0117%16 Oct →
inferno9–13-0.0416%16 Oct →
ancient13–70.1113%16 Oct →
cache13–60.0315%16 Oct →
anubis8–13-0.0710%15 Oct →
dust29–13-0.0219%15 Oct →
dust213–10-0.0620%15 Oct →
dust212–16-0.0119%15 Oct →
inferno13–110.0915%15 Oct →
mirage4–13-0.0712%12 Oct →
nuke13–6-0.084%11 Oct →
inferno13–50.025%11 Oct →
mirage13–40.0518%11 Oct →
inferno10–130.0711%11 Oct →
nuke10–13-0.0815%10 Oct →
mirage7–13-0.0935%10 Oct →
nuke13–80.055%8 Oct →
mirage13–80.0225%7 Oct →
cache15–15-0.0114%5 Oct →
mirage15–15-0.0012%4 Oct →
ancient13–9-0.0110%4 Oct →
mirage6–13-0.0710%4 Oct →
inferno6–13-0.089%2 Oct →
nuke13–40.089%30 Sept →
mirage13–8-0.0313%29 Sept →
nuke13–30.0619%29 Sept →
anubis13–10-0.0118%28 Sept →
cache13–40.0510%28 Sept →
nuke16–13-0.018%27 Sept →
nuke10–7-0.1013%27 Sept →
ancient11–130.0113%27 Sept →
inferno10–13-0.0712%26 Sept →
dust26–13-0.0317%26 Sept →
mirage13–11-0.0113%26 Sept →
inferno13–80.0114%24 Sept →
vertigo13–9-0.025%24 Sept →
nuke13–8-0.0429%24 Sept →
mirage3–13-0.0417%23 Sept →
inferno2–13-0.107%23 Sept →
mirage13–5-0.0323%21 Sept →
mirage4–130.0310%13 Sept →
nuke7–13-0.0010%13 Sept →
inferno4–9-0.1731%7 Sept →
mirage11–13-0.048%7 Sept →
anubis13–10-0.0113%7 Sept →
mirage16–13-0.0618%7 Sept →
dust20–13-0.0816%6 Sept →
nuke7–13-0.073%31 Aug →
dust214–16-0.0416%31 Aug →
mirage11–1-0.0718%27 Aug →
inferno13–6-0.0724%27 Aug →
inferno10–130.0710%27 Aug →
cache13–00.1115%27 Aug →
nuke13–10-0.0814%27 Aug →
mirage3–13-0.056%27 Aug →
mirage13–10-0.0112%27 Aug →
mirage11–130.089%26 Aug →
dust213–1-0.0110%26 Aug →
dust28–13-0.0515%26 Aug →
anubis10–20.0724%26 Aug →
nuke13–8-0.0116%24 Aug →
mirage13–70.0316%24 Aug →
inferno11–130.025%24 Aug →
dust27–13-0.046%24 Aug →
inferno3–13-0.0910%22 Aug →
mirage13–50.057%22 Aug →
nuke13–10.072%21 Aug →
dust214–16-0.0516%18 Aug →
inferno13–9-0.0025%18 Aug →
nuke13–40.0113%17 Aug →
nuke13–40.049%17 Aug →
dust23–10-0.040%17 Aug →
dust213–70.0613%14 Aug →
ancient13–30.0612%12 Aug →
dust213–11-0.0010%12 Aug →
dust24–10-0.0411%12 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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