Begre

Begre — CS2 Stats

76561198046797730[U:1:86532002]Steam profile ↗✓ No bans

447Tracked matches52%Win rate2020Tracked since
CSDB Rating5.4 DevelopingAll-Rounder
Premier CS Rating19,107Top 50% of 210,832 CSDB-tracked playersPurple band · top ~12.1% of ranked players (population est.)
CSDB Leaderboard#96989 of 257852 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Mar 2026 (227 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: 19,107 +1,459 28 Jul – 14 Mar · 24 days played
17,09919,107peak 19,10728 Jul14 Mar
19,107Peak Premier in tracked matches
39Days played since 2025-07-16

Premier CS Rating

  • At peak — 19,107
  • +389 over 90 days
  • Next: Pink band at 20,000 — 893 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.

Share this profile

CSDB.GGBegreFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER19,107 · Purple bandcsdb.gg/stats

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Performance scores

Aim48
Positioning60
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateWWLWWLLWWL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +0.7pp headshot accuracy · −38ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 660ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 634ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 653ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim4.8
Utility6.0
Positioning6.0
Opening Duels3.9

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

Twistzz

Plays most like Twistzz 69% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 662ms 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

Aim4.8
Positioning6.0
Utility6.0
Mechanics6.4
Opening Duels2.9
Win Impact5.6

Composite 5.4/10 (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+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time660ms+22ms
first ⅓ avg 638ms → last ⅓ avg 660ms
Headshot accuracy13.5%−0.1%
first ⅓ avg 13.6% → last ⅓ avg 13.5%

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 · 13–1 · inferno, 21 Dec →
50%Best headshot accuracy · 2–0 · overpass, 2 Aug →
453msFastest reaction time · 13–5 · ancient, 25 Jan →
13–0Biggest win · inferno, 15 Feb →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
6–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 68% over 22trainWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
ancientB2411–1346%-0.01
infernoS2215–768%0.01
overpassC228–1436%-0.01
nukeC135–838%-0.02
anubisA95–456%0.01
trainD72–529%-0.05
mirage—30–30%-0.05

Across the last 100 tracked matches.

Faceit stats

Combat

160Matches
52%Win rate
1.13Avg K/D
—ADR
35%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno1258%1.3419.6
Anubis650%1.2417.2
Ancient40%1.3016.5
Overpass3100%2.1119.0
Mirage20%0.608.5

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.

13.3%Headshot accuracy
31.5%Accuracy (enemy spotted)
34.5%Spray accuracy
78.7%Counter-strafing
10.1°Preaim
662msReaction time
40.3%T opening success
42.7%CT opening success
0.68Enemies flashed / flash
7.7%Flash assists
10.65HE damage / grenade
3.95Flashes / 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 13.2677% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

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

    Flashes per match 3.9457 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Train

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis16–13-0.018%14 Mar →
inferno13–110.0213%14 Mar →
overpass10–13-0.0410%14 Mar →
ancient13–7-0.0616%8 Mar →
inferno13–110.0022%8 Mar →
ancient8–13-0.005%8 Mar →
anubis9–130.038%7 Mar →
ancient13–30.0415%7 Mar →
inferno13–11-0.0216%7 Mar →
inferno9–13-0.0114%6 Mar →
nuke2–13-0.149%1 Mar →
ancient15–150.0212%1 Mar →
anubis13–7-0.049%28 Feb →
anubis13–50.079%28 Feb →
ancient4–13-0.0510%28 Feb →
inferno6–13-0.0411%28 Feb →
inferno13–110.0113%26 Feb →
overpass13–80.0215%22 Feb →
overpass13–60.0715%22 Feb →
nuke13–16-0.0716%15 Feb →
inferno13–00.1015%15 Feb →
nuke13–40.029%14 Feb →
anubis13–30.0512%1 Feb →
overpass13–80.037%1 Feb →
inferno9–13-0.0116%1 Feb →
mirage4–13-0.0725%30 Jan →
overpass9–13-0.0713%29 Jan →
overpass8–13-0.0521%25 Jan →
anubis3–13-0.0219%25 Jan →
anubis11–13-0.0217%25 Jan →
ancient13–50.0220%25 Jan →
inferno13–10.0616%25 Jan →
nuke6–13-0.029%11 Jan →
overpass11–13-0.0316%11 Jan →
overpass4–13-0.074%10 Jan →
ancient13–10-0.047%10 Jan →
inferno13–70.0315%9 Jan →
train14–16-0.0419%9 Jan →
overpass5–130.0115%1 Jan →
nuke3–13-0.0012%1 Jan →
inferno16–130.0116%1 Jan →
ancient7–13-0.0224%30 Dec →
nuke13–60.0721%30 Dec →
ancient13–100.0622%30 Dec →
train6–13-0.0812%29 Dec →
mirage13–16-0.029%29 Dec →
nuke10–130.0015%28 Dec →
ancient13–4-0.0218%28 Dec →
overpass7–130.0024%27 Dec →
ancient14–16-0.0016%27 Dec →
inferno13–10.1326%21 Dec →
ancient8–130.0017%26 Oct →
inferno13–80.0420%26 Oct →
train13–8-0.0422%30 Aug →
inferno5–13-0.0113%9 Aug →
ancient13–9-0.0711%9 Aug →
ancient10–13-0.069%8 Aug →
nuke13–6-0.0613%8 Aug →
ancient13–10.0624%8 Aug →
inferno7–13-0.0518%8 Aug →
ancient3–13-0.1010%8 Aug →
overpass10–13-0.0512%4 Aug →
inferno7–130.009%4 Aug →
nuke13–110.0616%3 Aug →
overpass13–9-0.0320%3 Aug →
train1–13-0.0525%3 Aug →
anubis13–100.038%3 Aug →
anubis12–120.0513%3 Aug →
ancient12–160.0215%2 Aug →
overpass2–00.0650%2 Aug →
nuke11–130.0116%2 Aug →
inferno13–90.0113%2 Aug →
overpass13–50.0214%30 Jul →
ancient13–30.0310%30 Jul →
overpass9–130.0414%30 Jul →
ancient14–160.0119%30 Jul →
nuke4–13-0.109%29 Jul →
mirage4–13-0.0511%29 Jul →
overpass15–15-0.0217%29 Jul →
ancient13–80.0610%29 Jul →
train11–13-0.074%29 Jul →
overpass13–70.018%28 Jul →
inferno13–4-0.016%28 Jul →
overpass11–13-0.069%23 Jul →
inferno9–13-0.0513%23 Jul →
overpass3–13-0.0322%22 Jul →
inferno13–5-0.0622%22 Jul →
train10–13-0.0710%22 Jul →
overpass13–3-0.0110%22 Jul →
ancient6–130.0218%21 Jul →
overpass10–130.0113%21 Jul →
inferno13–70.028%20 Jul →
nuke13–6-0.0212%20 Jul →
overpass9–13-0.0122%20 Jul →
ancient13–90.0121%20 Jul →
ancient9–13-0.054%18 Jul →
train13–90.0212%18 Jul →
nuke3–13-0.029%18 Jul →
ancient4–13-0.039%16 Jul →
inferno13–4-0.034%16 Jul →

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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