DontPokeT4eBear

DontPokeT4eBear — CS2 Stats

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

1,256Tracked matches40%Win rate2022Tracked since
1,639Hours in CS32Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
Premier CS Rating18,534Purple band · top ~14.3% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+1739Premier CS Rating · 16,795 → 18,534

Rating over time

Premier CS Rating: 18,534 +4,837 31 Aug – 15 Oct · 25 days played
12,65418,534peak 18,53431 Aug15 Oct
18,534Peak Premier in tracked matches
22Days played since 2026-08-31

Premier CS Rating

  • At peak — 18,534
  • +3,066 over 30 days · improving
  • Next: Pink band at 20,000 — 1,466 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%44.3%46.9%5.2% short
Shot accuracy3.9%11.9%13.0%9.1% short
Kill/death ratio1.131.031.08above
Match win rate42.1%45.2%46.7%4.6% 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.GGDontPokeT4eBearPREMIER18,534 · Purple bandcsdb.gg/stats

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Performance scores

Aim74
Positioning68
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY41–57–2Last 10041%Win rateWWWWLWLLWL

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · −1.2pp headshot accuracy · −70ms reaction

Win rate up 40pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 13%
  • Avg reaction 541ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 15%
  • Avg reaction 533ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 16%
  • 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 (+2 against its own average).

Aim7.4
Utility3.1
Positioning6.8
Opening Duels4.9
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 82% playstyle similarity

Most alike: opening-duel success, positioning profile.

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.

Reaction time. 568ms 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

Aim7.4
Positioning6.8
Utility3.1
Mechanics4.5
Opening Duels6.4
Win Impact1.7

Composite 5.5/10 (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 rating0.04+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time567ms−15ms
first ⅓ avg 582ms → last ⅓ avg 567ms
Headshot accuracy16.7%−0.6%
first ⅓ avg 17.2% → last ⅓ avg 16.7%

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

0.17Best match rating · 13–4 · anubis, 15 Oct →
39%Best headshot accuracy · 8–13 · inferno, 16 Sept →
375msFastest reaction time · 14–16 · dust2, 18 Sept →
13–0Biggest win · anubis, 15 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W4Current streak
8–13In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 60% over 10mirageWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C218–1338%0.04
anubisB189–950%0.05
cacheC167–944%0.03
nukeD154–1127%-0.01
ancientB115–645%0.03
infernoA106–460%0.06
mirageD92–722%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (22% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,069Lifetime kills
1.13K/D · Top 50% of Purple band
2,316Matches
42.1%Match win rate
41.7%Headshot %
3.9%Shot accuracy
5,614MVPs
796Hours (in match)
1,456Bombs planted
549Bombs defused

Most-used weapons

Lifetime map wins

4,995dust2
2,552nuke
2,448inferno
600vertigo
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.

17.2%Headshot accuracy
37.6%Accuracy (enemy spotted)
39.3%Spray accuracy
70.2%Counter-strafing
8.0°Preaim
568msReaction time
61.8%T opening success
49.6%CT opening success
0.50Enemies flashed / flash
10.4%Flash assists
15.74HE damage / grenade
1.23Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.2252 — below the 4 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
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 →
nuke13–60.1111%22 Sept →
dust213–10.1113%22 Sept →
dust28–13-0.0119%22 Sept →
anubis13–20.0718%22 Sept →
cache13–110.0320%19 Sept →
dust211–130.1123%19 Sept →
nuke2–13-0.0511%18 Sept →
nuke1–13-0.0611%18 Sept →
dust22–13-0.0714%18 Sept →
anubis10–13-0.0210%18 Sept →
dust214–16-0.0414%18 Sept →
nuke13–160.0423%17 Sept →
anubis12–16-0.0517%17 Sept →
inferno13–110.0124%17 Sept →
dust211–130.0729%17 Sept →
cache11–130.0020%17 Sept →
inferno8–130.0539%16 Sept →
anubis1–13-0.048%16 Sept →
ancient13–8-0.0017%16 Sept →
inferno13–70.0516%16 Sept →
nuke7–13-0.0323%15 Sept →
mirage13–90.0514%15 Sept →
ancient13–10-0.0113%15 Sept →
anubis13–00.0816%15 Sept →
ancient6–13-0.0518%15 Sept →
cache13–40.0321%15 Sept →
cache5–13-0.0324%14 Sept →
ancient13–100.0919%14 Sept →
dust213–80.0719%14 Sept →
cache2–13-0.0614%14 Sept →
mirage10–13-0.0018%14 Sept →
inferno5–130.0426%14 Sept →
cache10–13-0.023%14 Sept →
inferno16–140.0814%14 Sept →
nuke7–13-0.015%13 Sept →
ancient13–50.0423%13 Sept →
dust29–13-0.0310%13 Sept →
nuke9–130.0314%13 Sept →
anubis4–10.087%13 Sept →
cache13–110.1223%13 Sept →
nuke6–40.0216%13 Sept →
mirage13–80.008%13 Sept →
anubis9–130.1518%13 Sept →
dust210–130.0516%13 Sept →
nuke5–13-0.0415%13 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.