DontPokeT4eBear

DontPokeT4eBear — CS2 Stats

CA76561199224997461[U:1:1264731733]Steam profile ↗✓ No bans

1,301Tracked matches36%Win rate2022Tracked since
1,675Hours in CS7Hrs last 2 wks
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating18,115Purple band · top ~16% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (7 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: 18,115 +4,418 31 Aug – 29 Oct · 27 days played
12,65418,234peak 18,23431 Aug29 Oct
18,534Peak Premier in tracked matches
24Days played since 2026-08-31

Premier CS Rating

  • 119 below peak (18,234)
  • +1,129 over 30 days · improving
  • Next: Pink band at 20,000 — 1,885 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-08-31
  • Light Blue band first seen 2026-08-31

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate41.7%44.4%46.9%5.2% short
Shot accuracy3.8%11.9%13.0%9.2% short
Kill/death ratio1.131.031.08above
Match win rate41.9%45.2%46.7%4.8% short

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

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

Share this profile

CSDB.GGDontPokeT4eBearPREMIER18,115 · Purple bandcsdb.gg/stats

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Performance scores

Aim73
Positioning74
Utility12

0–100 skill scores via Leetify.

Recent form

COLD36–60–4Last 10036%Win rateLWWLLTLWLL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −6.4pp headshot accuracy · −52ms 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 12%
  • Avg reaction 566ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 542ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 568ms

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 (+3.2 against its own average).

Aim7.3
Utility1.2
Positioning7.4
Opening Duels3.8
Clutch4.6

Limited 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 74% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 62% on T to 43% on CT — first contacts on the defending side are being lost.

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

Aim7.3
Positioning7.4
Utility1.2
Mechanics4.4
Opening Duels5.7
Win Impact0.2

Composite 5.1/10 (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 rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time559ms−6ms
first ⅓ avg 564ms → last ⅓ avg 559ms
Headshot accuracy16.6%−0.4%
first ⅓ avg 16.9% → last ⅓ avg 16.6%

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

0.17Best match rating · 13–4 · anubis, 15 Oct →
34%Best headshot accuracy · 4–13 · dust2, 4 Oct →
422msFastest reaction time · 6–13 · mirage, 15 Oct →
13–3Biggest win · cache, 22 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–14In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 60% over 10mirageWeakest map · 12% over 17
MapGradePlayedRecordWin rateAvg rating
anubisC188–1044%0.04
mirageD172–1512%0.01
dust2B178–947%0.04
cacheB157–847%0.03
nukeD133–1023%-0.01
infernoA106–460%0.05
ancientD92–722%0.04
vertigo—10–10%0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (12% over 17). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,055Lifetime kills
1.13K/D · Top 50% of Purple band
2,369Matches
41.9%Match win rate
41.7%Headshot %
3.8%Shot accuracy
5,751MVPs
816Hours (in match)
1,507Bombs planted
562Bombs defused

Most-used weapons

Lifetime map wins

5,064dust2
2,612nuke
2,503inferno
612vertigo
282train
97office
47cbble
39lake

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

Faceit stats

Combat

9Matches
56%Win rate
1.02Avg K/D
79.1ADR
44%Headshot %

Clutches & streaks

43%1v1 clutch win
33%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient333%1.1116.3
Dust220%0.488.5
Nuke1100%0.8713.0
Mirage1100%1.4014.0
Cache1100%1.8018.0
Anubis1100%0.7911.0

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.

16.9%Headshot accuracy
38.4%Accuracy (enemy spotted)
39.4%Spray accuracy
69.9%Counter-strafing
9.2°Preaim
550msReaction time
62.2%T opening success
43.1%CT opening success
0.17Enemies flashed / flash
1.1%Flash assists
10.81HE damage / grenade
0.67Flashes / 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. 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 0.1745 — below the 0.5 mark we flag

    Grenade Lineups →
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.

12% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke8–130.0416%29 Oct →
ancient8–3-0.056%29 Oct →
mirage4–1-0.0413%29 Oct →
mirage8–13-0.0011%29 Oct →
ancient10–130.1213%25 Oct →
anubis15–150.0720%25 Oct →
inferno14–160.0724%23 Oct →
cache13–90.1011%22 Oct →
mirage9–130.0010%22 Oct →
mirage4–13-0.0920%21 Oct →
vertigo12–120.0524%21 Oct →
dust213–80.1625%21 Oct →
anubis8–13-0.047%21 Oct →
cache13–11-0.0618%21 Oct →
anubis13–50.0830%20 Oct →
cache7–130.1232%20 Oct →
mirage9–130.0615%20 Oct →
nuke3–90.0225%18 Oct →
mirage11–130.0317%18 Oct →
anubis11–130.0216%18 Oct →
inferno13–110.0112%18 Oct →
anubis8–130.0218%18 Oct →
cache9–13-0.036%18 Oct →
nuke9–130.0214%18 Oct →
cache13–9-0.0221%18 Oct →
nuke13–16-0.0617%18 Oct →
inferno13–11-0.0016%18 Oct →
anubis13–110.0010%18 Oct →
dust25–130.0217%18 Oct →
inferno2–130.0223%18 Oct →
mirage13–80.0417%17 Oct →
ancient10–130.0318%17 Oct →
mirage11–130.037%17 Oct →
mirage7–130.0516%17 Oct →
inferno13–100.0125%17 Oct →
anubis7–13-0.0413%17 Oct →
mirage9–130.0211%17 Oct →
cache14–160.0211%17 Oct →
dust213–40.009%17 Oct →
dust26–13-0.0120%17 Oct →
nuke8–130.0524%16 Oct →
dust23–130.0213%16 Oct →
nuke13–8-0.048%16 Oct →
nuke6–13-0.0215%16 Oct →
mirage6–13-0.0533%15 Oct →
dust216–130.0418%15 Oct →
inferno13–80.0411%15 Oct →
nuke13–8-0.0312%15 Oct →
anubis13–90.0512%15 Oct →
mirage10–130.1314%15 Oct →
anubis13–40.1713%15 Oct →
dust23–13-0.0025%15 Oct →
anubis10–130.0520%14 Oct →
cache13–50.1011%14 Oct →
cache11–13-0.0115%14 Oct →
mirage11–13-0.0218%14 Oct →
dust211–130.0715%14 Oct →
dust213–8-0.0118%14 Oct →
anubis13–50.1110%14 Oct →
inferno11–130.0518%14 Oct →
cache9–130.1324%14 Oct →
mirage7–13-0.038%13 Oct →
ancient9–130.0721%11 Oct →
mirage9–130.0113%11 Oct →
mirage5–13-0.0219%11 Oct →
anubis8–130.1021%11 Oct →
dust213–110.1317%10 Oct →
ancient5–13-0.0818%10 Oct →
nuke11–13-0.0415%10 Oct →
cache13–9-0.0626%10 Oct →
cache13–100.0315%10 Oct →
anubis9–130.1211%9 Oct →
nuke6–13-0.0326%9 Oct →
dust211–130.0431%9 Oct →
anubis12–6-0.0218%9 Oct →
dust213–100.0311%8 Oct →
dust25–130.0310%7 Oct →
inferno11–130.0915%7 Oct →
cache2–13-0.0110%7 Oct →
cache3–130.0517%7 Oct →
ancient12–160.0517%6 Oct →
anubis13–80.0914%4 Oct →
dust24–130.0134%4 Oct →
nuke7–13-0.0314%4 Oct →
anubis13–80.0317%4 Oct →
anubis15–150.0416%2 Oct →
dust213–160.0614%1 Oct →
ancient13–60.0211%27 Sept →
anubis7–13-0.1114%27 Sept →
ancient4–130.0517%23 Sept →
inferno13–60.1425%23 Sept →
dust213–90.1117%23 Sept →
nuke13–5-0.0312%23 Sept →
inferno13–110.0412%23 Sept →
nuke14–160.0110%22 Sept →
dust213–110.0114%22 Sept →
cache11–130.0715%22 Sept →
ancient8–130.1128%22 Sept →
mirage15–150.0312%22 Sept →
cache13–30.0722%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 →

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