Britakakku

Britakakku — CS2 Stats

76561198295726333[U:1:335460605]Steam profile ↗✓ No bans

655Tracked matches54%Win rate2020Tracked since
CSDB Rating5.4 DevelopingClutch Specialist
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 16,558 +1,268 1 Apr – 4 May · 7 days played
15,29016,558peak 16,5581 Apr4 May
16,558Peak Premier in tracked matches
46Days played since 2024-07-08

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

Performance scores

Aim66
Positioning40
Utility46

0–100 skill scores via Leetify.

Recent form

COLD47–49–4Last 10047%Win rateLLWLLWLWLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −4.7pp headshot accuracy · −81ms reaction

Win rate down 30pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 19%
  • Avg reaction 564ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 556ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 597ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.5 against its own average).

Aim6.6
Utility4.6
Positioning4.0
Opening Duels2.0
Clutch5.6

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

ZywOo

Plays most like ZywOo 94% 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

Areas to improve

Reaction time. 583ms 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

Aim6.6
Positioning4.0
Utility4.6
Mechanics7.4
Opening Duels2.0
Win Impact6.2

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-0.02−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time591ms−11ms
first ⅓ avg 601ms → last ⅓ avg 591ms
Headshot accuracy17.9%+2.0%
first ⅓ avg 15.9% → last ⅓ avg 17.9%

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

0.14Best match rating · 8–13 · mirage, 23 Apr →
59%Best headshot accuracy · 9–13 · cache, 6 May →
344msFastest reaction time · 5–13 · inferno, 29 Apr →
13–1Biggest win · nuke, 28 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
14–6In matches decided by ≤2 rounds
16Overtime games

Map breakdown

ancientBest map · 78% over 9dust2Weakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB209–1145%-0.04
cacheB189–950%-0.03
nukeB179–853%-0.01
anubisA95–456%-0.01
dust2D92–722%0.02
mirageD92–722%0.01
ancientS97–278%-0.01
trainB63–350%-0.02
overpass—31–233%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

674Matches
50%Win rate
1.03Avg K/D
75.7ADR
43%Headshot %

Clutches & streaks

48%1v1 clutch win
12%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke10058%1.2016.2
Inferno7941%0.9113.4
Mirage7849%1.0915.9
Ancient5345%0.9414.1
Anubis3355%0.9314.6
Dust23142%1.0917.7
Cache1650%0.7611.8
Overpass1233%0.8214.2

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.

18.2%Headshot accuracy
30.3%Accuracy (enemy spotted)
35.8%Spray accuracy
83.2%Counter-strafing
9.8°Preaim
583msReaction time
32.5%T opening success
43.2%CT opening success
0.52Enemies flashed / flash
6.1%Flash assists
7.56HE damage / grenade
8.10Flashes / 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 32.5074% — below the 40% mark we flag

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0617%4 Nov →
inferno1–13-0.1127%7 Oct →
anubis13–7-0.0218%7 Oct →
cache8–13-0.0921%7 Oct →
dust27–130.0411%7 Oct →
inferno16–120.0310%16 Sept →
cache9–13-0.0710%31 Aug →
nuke13–9-0.0116%31 Aug →
cache6–13-0.0323%27 Aug →
cache3–13-0.0514%24 Aug →
inferno13–6-0.075%24 Aug →
cache7–13-0.063%19 May →
nuke12–12-0.0624%19 May →
mirage13–11-0.0426%19 May →
cache13–11-0.0022%19 May →
cache13–4-0.0125%7 May →
cache13–5-0.0520%7 May →
cache13–7-0.0222%7 May →
cache8–13-0.0410%6 May →
cache9–130.0459%6 May →
cache7–13-0.059%5 May →
mirage16–130.0121%4 May →
dust215–150.0418%3 May →
nuke6–00.009%3 May →
inferno5–13-0.0611%29 Apr →
cache13–11-0.0134%29 Apr →
cache13–11-0.0414%29 Apr →
cache13–80.0114%28 Apr →
anubis14–16-0.0514%28 Apr →
nuke13–10.1213%28 Apr →
cache16–14-0.0315%28 Apr →
ancient13–60.0114%28 Apr →
dust27–13-0.0325%27 Apr →
mirage6–13-0.0419%25 Apr →
dust213–100.0720%23 Apr →
dust23–130.0828%23 Apr →
mirage8–130.1420%23 Apr →
inferno16–14-0.0121%22 Apr →
cache10–13-0.0322%22 Apr →
inferno9–13-0.0412%22 Apr →
cache13–10-0.0135%22 Apr →
dust210–13-0.0314%11 Apr →
anubis13–9-0.0626%11 Apr →
overpass6–13-0.0415%1 Apr →
anubis9–13-0.068%1 Apr →
anubis13–60.0926%1 Apr →
anubis6–13-0.0442%1 Apr →
anubis13–110.0019%1 Apr →
nuke13–11-0.0226%30 Mar →
anubis9–130.0315%25 Mar →
nuke13–90.0517%19 Mar →
ancient13–8-0.0120%19 Mar →
nuke9–13-0.0525%10 Mar →
ancient16–13-0.0628%10 Mar →
inferno13–9-0.0717%10 Mar →
train12–12-0.0122%27 Feb →
nuke13–11-0.0321%19 Feb →
inferno11–13-0.0617%19 Feb →
mirage6–130.0221%18 Feb →
dust27–130.0018%12 Feb →
inferno13–11-0.0516%26 Jul →
nuke14–16-0.027%26 Jul →
nuke10–13-0.0319%26 Jul →
ancient3–13-0.1012%26 Jul →
train4–13-0.0320%21 May →
train13–10-0.0110%21 May →
nuke6–13-0.0217%30 Apr →
dust211–13-0.0214%11 Apr →
nuke15–15-0.0318%11 Apr →
inferno13–40.0115%11 Apr →
train13–5-0.0327%11 Apr →
nuke16–140.0614%7 Apr →
inferno4–13-0.0514%7 Apr →
nuke13–5-0.0314%7 Apr →
inferno13–10-0.049%7 Apr →
nuke8–13-0.0323%7 Apr →
mirage11–130.0220%2 Apr →
anubis19–150.0217%2 Apr →
ancient13–7-0.0014%2 Apr →
ancient9–13-0.0210%2 Apr →
inferno13–5-0.0515%17 Mar →
ancient13–60.0420%17 Mar →
ancient13–70.056%24 Feb →
inferno13–16-0.038%24 Feb →
mirage6–13-0.0118%24 Feb →
mirage14–160.018%19 Feb →
inferno10–13-0.0123%19 Feb →
ancient13–110.0011%19 Feb →
train7–13-0.0322%15 Nov →
train13–60.019%15 Nov →
overpass13–40.0721%11 Sept →
inferno13–160.0012%7 Sept →
mirage5–13-0.0116%6 Sept →
overpass10–130.0126%30 Aug →
inferno13–100.0529%30 Aug →
inferno7–13-0.069%14 Aug →
nuke12–16-0.0215%24 Jul →
nuke19–170.0110%18 Jul →
dust213–11-0.0017%18 Jul →
inferno6–13-0.0524%8 Jul →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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