♛ Berixa

♛ Berixa — CS2 Stats

76561198147950978[U:1:187685250]Steam profile ↗✓ No bans

229Tracked matches37%Win rate2020Tracked since
CSDB Rating3.4 LearningSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,285 +10,428 3 May – 16 May · 10 days played
7,85718,392peak 18,3923 May16 May
18,392Peak Premier in tracked matches
24Days played since 2024-05-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GG♛ BerixaFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.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

Aim46
Positioning35
Utility40

0–100 skill scores via Leetify.

Recent form

COLD58–37–5Last 10058%Win rateWWLWLLLLLL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +1.4pp headshot accuracy · +31ms 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 -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 644ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 662ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 646ms

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: Support — Utility contribution stands above the rest of this profile (+1.5 against its own average).

Aim4.6
Utility4.0
Positioning3.5
Opening Duels0.0

Effective flashesLimited 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

iM

Plays most like iM 82% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 625ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim4.6
Positioning3.5
Utility4.0
Mechanics4.4
Opening Duels0.0
Win Impact0.6

Composite 3.4/10 (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-0.01−0.05
first ⅓ avg 0.04 → last ⅓ avg -0.01
Reaction time622ms−18ms
first ⅓ avg 641ms → last ⅓ avg 622ms
Headshot accuracy19.0%−2.3%
first ⅓ avg 21.3% → last ⅓ avg 19.0%

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

0.18Best match rating · 13–4 · overpass, 5 May →
50%Best headshot accuracy · 6–13 · dust2, 8 May →
383msFastest reaction time · 2–8 · ancient, 12 May →
13–0Biggest win · ancient, 12 May →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
8–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 74% over 19mirageWeakest map · 44% over 16
MapGradePlayedRecordWin rateAvg rating
dust2A2414–1058%0.01
infernoS1914–574%0.02
mirageC167–944%-0.01
cacheB105–550%-0.02
ancientA106–460%0.02
nukeA95–456%-0.00
overpass—41–325%0.03
anubis—44–0100%-0.00
office—21–150%0.07
vertigo—21–150%0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (44% over 16). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

99Matches
49%Win rate
0.81Avg K/D
—ADR
39%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
6Longest 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.

19.1%Headshot accuracy
31.1%Accuracy (enemy spotted)
31.1%Spray accuracy
69.8%Counter-strafing
11.0°Preaim
625msReaction time
28.6%T opening success
26.8%CT opening success
0.75Enemies flashed / flash
4.7%Flash assists
7.49HE damage / grenade
4.62Flashes / 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. 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 28.5558% — below the 40% mark we flag

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.

44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–20.0711%31 May →
cache13–6-0.0611%31 May →
ancient6–130.0117%30 May →
mirage13–10-0.0232%30 May →
cache7–13-0.0421%30 May →
mirage7–13-0.0729%29 May →
cache9–13-0.0320%29 May →
overpass3–13-0.0436%29 May →
office8–130.0217%14 May →
cache10–13-0.0712%10 May →
cache13–6-0.0320%10 May →
cache13–6-0.0415%10 May →
cache2–13-0.0818%10 May →
cache9–130.0026%10 May →
mirage10–13-0.108%9 May →
cache13–100.0220%9 May →
nuke9–13-0.0615%20 Aug →
dust211–130.1325%15 Aug →
overpass6–130.0717%15 Aug →
mirage13–20.1129%15 Aug →
inferno13–60.0614%15 Aug →
mirage11–130.0223%31 May →
nuke5–13-0.0321%31 May →
inferno8–13-0.0111%14 May →
overpass3–13-0.0819%14 May →
dust210–130.0117%12 May →
nuke8–13-0.0437%16 May →
dust213–50.0818%16 May →
anubis10–1-0.0316%15 May →
inferno16–14-0.025%15 May →
dust213–10-0.0117%15 May →
nuke13–3-0.0214%15 May →
mirage16–140.0116%15 May →
inferno15–15-0.0423%15 May →
ancient13–7-0.0117%15 May →
dust210–130.0119%15 May →
inferno13–70.0320%14 May →
dust211–13-0.0526%14 May →
dust213–11-0.0320%14 May →
mirage13–7-0.0720%14 May →
ancient13–20.1219%13 May →
dust213–9-0.0317%13 May →
mirage5–13-0.0720%13 May →
dust213–10.0310%13 May →
inferno13–110.0315%13 May →
inferno10–13-0.0328%13 May →
nuke6–13-0.0722%12 May →
ancient13–00.0323%12 May →
dust211–130.0427%12 May →
inferno16–13-0.0624%12 May →
anubis13–110.0311%12 May →
mirage8–13-0.0423%12 May →
inferno6–10.1318%12 May →
dust24–13-0.0624%12 May →
ancient13–6-0.0811%12 May →
ancient13–2-0.0017%12 May →
ancient2–8-0.0216%12 May →
dust213–7-0.0021%11 May →
inferno16–14-0.0710%11 May →
dust213–20.0513%11 May →
vertigo9–13-0.0311%11 May →
inferno16–120.0131%11 May →
dust210–130.0518%11 May →
inferno12–120.0329%11 May →
inferno13–60.0334%10 May →
nuke13–90.0217%10 May →
mirage15–15-0.0619%10 May →
dust213–6-0.0919%9 May →
inferno13–50.0625%9 May →
anubis13–20.0110%9 May →
dust28–13-0.0417%9 May →
dust26–13-0.0050%8 May →
mirage13–80.0421%8 May →
nuke13–100.0119%8 May →
inferno13–20.1410%8 May →
inferno11–130.0123%7 May →
dust212–120.0433%7 May →
mirage13–20.0527%7 May →
dust213–11-0.0218%7 May →
ancient10–130.0320%7 May →
mirage3–130.0126%7 May →
mirage13–00.0612%6 May →
nuke13–30.0622%6 May →
dust213–50.0315%6 May →
mirage9–13-0.0427%6 May →
anubis13–11-0.0315%6 May →
dust213–70.1229%6 May →
inferno13–8-0.0515%6 May →
ancient13–30.0623%6 May →
office13–30.1216%5 May →
dust213–30.0113%5 May →
vertigo13–20.1319%5 May →
dust212–10.0536%5 May →
ancient12–120.0523%5 May →
nuke13–00.1224%5 May →
inferno13–10-0.0119%5 May →
overpass13–40.1816%5 May →
inferno13–20.1221%5 May →
dust213–10-0.0218%3 May →
mirage10–130.0922%3 May →

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 →

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