B3rTr4m

B3rTr4m — CS2 Stats

76561198146779263[U:1:186513535]Steam profile ↗✓ No bans

58Tracked matches59%Win rate2025Tracked since
CSDB Rating1.6 LearningPositional Player
Ladder ranks via Leetify

Performance scores

Aim4
Positioning21
Utility14

0–100 skill scores via Leetify.

Recent form

COLD34–19–5Last 5859%Win rateLWLTWLLLWL

Last 10 vs previous 10: −30pp win rate · +0.03 avg rating · −3.8pp headshot accuracy · −80ms reaction

Win rate down 30pp 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 (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 7%
  • Avg reaction 639ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 9%
  • Avg reaction 659ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 699ms

Newest first, from the last 58 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 (+0.9 against its own average).

Aim0.4
Utility1.4
Positioning2.1
Opening Duels0.0

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. 732ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 50% 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

Aim0.4
Positioning2.1
Utility1.4
Mechanics0.0
Opening Duels0.0
Win Impact8.1

Composite 1.6/10 (Learning), 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-0.06−0.01
first ⅓ avg -0.05 → last ⅓ avg -0.06
Reaction time700ms−24ms
first ⅓ avg 724ms → last ⅓ avg 700ms
Headshot accuracy10.4%+2.5%
first ⅓ avg 7.9% → last ⅓ avg 10.4%

Rolling 5-match average across the last 58 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.07Best match rating · 13–0 · inferno, 5 Feb →
30%Best headshot accuracy · 13–4 · overpass, 21 Feb →
516msFastest reaction time · 2–0 · dust2, 7 Feb →
13–0Biggest win · inferno, 5 Feb →

Across the last 58 tracked matches.

Highlights

11Longest win streak
3–2In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 67% over 9ancientWeakest map · 60% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A1610–663%-0.07
ancientA106–460%-0.05
infernoS96–367%-0.05
mirageS64–267%-0.07
nuke—42–250%-0.05
train—43–175%-0.07
cache—31–233%-0.05
overpass—31–233%-0.06
vertigo—21–150%-0.07
anubis—10–10%-0.12

Across the last 58 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (60% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.4%Headshot accuracy
21.9%Accuracy (enemy spotted)
18.6%Spray accuracy
49.6%Counter-strafing
11.9°Preaim
732msReaction time
21.0%T opening success
8.7%CT opening success
0.28Enemies flashed / flash
2.2%Flash assists
4.64HE damage / grenade
3.33Flashes / 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 10.3652% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Sustained sprays are missing more than they land, which is a recoil-control pattern you can drill directly.

    Spray accuracy 18.5576% — below the 20% mark we flag

    Practice Config →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 731.8626ms — above the 700ms mark we flag

    Aim Training →

Recent matches

MapScoreRatingHS%Date
ancient8–13-0.088%30 Oct →
dust213–5-0.005%30 Oct →
nuke8–13-0.077%1 Oct →
mirage12–12-0.059%1 Oct →
train13–5-0.027%1 Oct →
dust28–13-0.0912%1 Oct →
ancient10–13-0.0313%26 Sept →
vertigo8–13-0.1014%26 Sept →
cache13–40.005%26 Sept →
nuke10–13-0.038%15 Sept →
dust213–7-0.090%15 Sept →
cache2–13-0.0417%15 Sept →
dust212–12-0.1217%9 Sept →
ancient2–8-0.0914%9 Sept →
dust213–9-0.0721%2 Jun →
cache12–12-0.129%18 May →
train13–8-0.1018%18 May →
vertigo13–8-0.047%10 Apr →
nuke13–8-0.056%6 Apr →
mirage13–8-0.0816%18 Mar →
anubis6–13-0.128%18 Mar →
overpass6–13-0.0820%13 Mar →
dust213–2-0.0524%13 Mar →
mirage13–2-0.070%13 Mar →
ancient13–11-0.078%6 Mar →
dust211–13-0.145%6 Mar →
inferno13–9-0.100%6 Mar →
overpass13–4-0.0230%21 Feb →
dust213–5-0.123%21 Feb →
mirage13–5-0.097%21 Feb →
inferno12–12-0.0115%21 Feb →
train12–12-0.1314%17 Feb →
dust213–9-0.0511%17 Feb →
dust29–13-0.0916%11 Feb →
inferno13–8-0.030%11 Feb →
ancient13–7-0.048%7 Feb →
dust213–5-0.040%7 Feb →
ancient13–6-0.020%7 Feb →
dust22–00.000%7 Feb →
mirage13–8-0.0320%7 Feb →
nuke13–3-0.060%7 Feb →
inferno13–6-0.080%7 Feb →
dust213–10-0.070%5 Feb →
inferno13–2-0.010%5 Feb →
inferno13–00.077%5 Feb →
mirage1–13-0.1225%5 Feb →
inferno13–7-0.0517%28 Jan →
train13–5-0.030%13 Jan →
ancient13–11-0.034%13 Jan →
ancient13–10-0.0312%6 Jan →
ancient8–13-0.124%16 Dec →
dust28–130.0121%16 Dec →
overpass6–13-0.0812%14 Oct →
ancient13–5-0.025%12 Oct →
inferno2–13-0.128%9 Oct →
dust21–13-0.113%9 Oct →
dust213–7-0.075%23 Sept →
inferno11–13-0.088%8 Jul →

Match data via Leetify.

Recent teammates

Milestones

11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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