bERK

bERK — CS2 Stats

GB76561198209777761[U:1:249512033]Steam profile ↗✓ No bans

579Tracked matches45%Win rate2023Tracked since
565Hours in CS
CSDB Rating5.0 DevelopingPositional Player
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (43 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 579 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 9,066 -1,919 14 Oct – 6 Dec · 11 days played
8,60210,985peak 10,98514 Oct6 Dec
11,331Peak Premier in tracked matches
37Days played since 2025-10-14

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

Performance scores

Aim52
Positioning60
Utility19

0–100 skill scores via Leetify.

Recent form

STEADY40–52–8Last 10040%Win rateLLLWWLWWWL

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating · −5.4pp headshot accuracy · +41ms reaction

Win rate up 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 745ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 695ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 674ms

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 (+1.7 against its own average).

Aim5.2
Utility1.9
Positioning6.0
Opening Duels4.9

Strong CT-side openerLimited 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

m0NESY

Plays most like m0NESY 69% 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 58% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 656ms 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

Aim5.2
Positioning6.0
Utility1.9
Mechanics8.0
Opening Duels3.9
Win Impact3.3

Composite 5.0/10 (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+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time640ms−36ms
first ⅓ avg 676ms → last ⅓ avg 640ms
Headshot accuracy18.6%−1.8%
first ⅓ avg 20.4% → last ⅓ avg 18.6%

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

0.10Best match rating · 13–8 · mirage, 18 Oct →
38%Best headshot accuracy · 13–10 · dust2, 17 Oct →
453msFastest reaction time · 13–3 · inferno, 27 Oct →
13–1Biggest win · overpass, 16 Nov →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L3Current streak
8–10In matches decided by ≤2 rounds
4Overtime games

Map breakdown

trainBest map · 90% over 10nukeWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C187–1139%-0.02
mirageD134–931%-0.01
cacheC125–742%0.00
vertigoD124–833%-0.02
nukeD112–918%-0.02
trainS109–190%-0.01
infernoC73–443%-0.00
overpassC73–443%0.00
ancientC52–340%-0.02
anubis—41–325%0.00
palacio—10–10%-0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,215Lifetime kills
1.03K/D · Top 50% of tracked players
1,853Matches
43.3%Match win rate
44.3%Headshot % · Top 50% of tracked players
12.0%Shot accuracy · Top 50% of tracked players
3,741MVPs
565Hours (in match)
1,884Bombs planted
372Bombs defused

Most-used weapons

Lifetime map wins

2,182dust2
1,672nuke
1,204inferno
980train
854vertigo
441cbble
92office
91lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

5Matches
60%Win rate
0.56Avg K/D
—ADR
26%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWWL

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.

18.9%Headshot accuracy
28.3%Accuracy (enemy spotted)
27.9%Spray accuracy
85.8%Counter-strafing
10.0°Preaim
656msReaction time
33.3%T opening success
57.8%CT opening success
0.33Enemies flashed / flash
6.7%Flash assists
5.61HE damage / grenade
1.76Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3348 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 33.316% — below the 40% mark we flag

Spend your practice time on Nuke

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke11–13-0.0310%13 Jun →
ancient6–13-0.089%2 Jun →
nuke8–130.0231%31 May →
dust216–12-0.0632%31 May →
cache13–50.0219%28 May →
mirage3–130.0217%28 May →
nuke13–9-0.017%28 May →
ancient13–5-0.037%28 May →
cache13–30.0812%25 May →
cache3–13-0.0212%25 May →
cache13–11-0.0113%21 May →
vertigo6–13-0.0717%18 May →
cache6–13-0.0328%18 May →
cache12–120.0427%18 May →
cache3–13-0.0322%14 May →
vertigo10–13-0.048%12 May →
nuke6–13-0.1015%12 May →
cache3–130.0738%12 May →
cache5–130.0021%12 May →
cache13–80.0522%9 May →
cache13–11-0.0115%9 May →
cache5–13-0.0817%9 May →
anubis11–13-0.0213%7 Apr →
train13–9-0.0417%6 Dec →
inferno13–100.0322%2 Dec →
overpass3–13-0.0421%18 Nov →
dust213–50.0228%18 Nov →
inferno13–40.0021%18 Nov →
anubis13–110.0628%16 Nov →
palacio4–13-0.0021%16 Nov →
overpass13–10.0420%16 Nov →
mirage13–11-0.0325%13 Nov →
dust20–3-0.050%13 Nov →
mirage8–130.0017%11 Nov →
train13–5-0.0114%11 Nov →
train13–9-0.0422%11 Nov →
vertigo10–130.0430%9 Nov →
nuke13–40.0323%9 Nov →
train13–4-0.0213%9 Nov →
nuke3–13-0.0413%8 Nov →
mirage9–13-0.0717%8 Nov →
ancient13–8-0.0312%8 Nov →
train13–40.0316%8 Nov →
dust211–13-0.0118%7 Nov →
mirage13–70.0132%7 Nov →
train13–90.0112%5 Nov →
nuke8–13-0.0216%5 Nov →
overpass13–40.0926%4 Nov →
dust28–13-0.0718%4 Nov →
overpass9–13-0.0213%3 Nov →
dust213–8-0.0221%3 Nov →
inferno8–13-0.0020%2 Nov →
nuke11–130.0527%2 Nov →
train13–110.0318%2 Nov →
vertigo13–110.0314%2 Nov →
dust25–13-0.0412%2 Nov →
overpass4–9-0.010%2 Nov →
overpass13–5-0.036%1 Nov →
vertigo13–10-0.016%1 Nov →
mirage15–15-0.0415%30 Oct →
inferno12–12-0.0510%30 Oct →
dust213–8-0.0112%28 Oct →
inferno13–30.0710%27 Oct →
nuke15–15-0.0225%27 Oct →
dust213–50.0222%27 Oct →
dust212–12-0.0522%26 Oct →
mirage13–11-0.0132%26 Oct →
dust25–13-0.0820%26 Oct →
mirage12–12-0.0216%25 Oct →
vertigo13–80.0019%25 Oct →
dust213–70.0923%25 Oct →
ancient11–130.0411%25 Oct →
overpass11–13-0.0117%25 Oct →
vertigo10–13-0.0310%24 Oct →
anubis2–13-0.0720%24 Oct →
mirage5–130.0129%24 Oct →
dust27–13-0.0119%24 Oct →
vertigo13–11-0.0517%23 Oct →
vertigo9–13-0.002%23 Oct →
train7–13-0.0329%20 Oct →
mirage14–16-0.0811%20 Oct →
anubis11–130.0428%20 Oct →
inferno8–80.0112%20 Oct →
nuke9–13-0.0513%18 Oct →
dust211–13-0.0111%18 Oct →
mirage13–80.1027%18 Oct →
nuke6–9-0.0829%18 Oct →
dust211–13-0.0420%18 Oct →
vertigo2–9-0.1725%18 Oct →
dust23–13-0.0720%18 Oct →
train13–8-0.0832%17 Oct →
dust213–10-0.0238%17 Oct →
vertigo8–130.0426%17 Oct →
mirage12–12-0.0114%17 Oct →
dust210–130.0125%16 Oct →
mirage7–13-0.0318%16 Oct →
vertigo8–13-0.0135%14 Oct →
ancient4–130.0019%14 Oct →
inferno3–13-0.0716%14 Oct →
train13–50.0221%14 Oct →

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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