BörjeDenStore

BörjeDenStore — CS2 Stats

FI76561197986727349[U:1:26461621]Steam profile ↗✓ No bans

1,281Tracked matches43%Win rate2021Tracked since
1,018Hours in CS
CSDB Rating4.4 DevelopingSupport
Premier CS Rating13,420Blue band · top ~36.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (4 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: 13,420 -6,335 5 Jun – 9 Oct · 24 days played
13,42021,643peak 21,6435 Jun9 Oct
21,643Peak Premier in tracked matches
1,180Highest Faceit ELO seen on CSDB
29Days played since 2026-06-05

Premier CS Rating

  • 8,223 below peak (21,643)
  • -4,009 over 30 days · declining
  • Next: Purple band at 15,000 — 1,580 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-06
  • Blue band first seen 2026-09-06

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate41.8%42.0%44.3%2.5% short
Shot accuracy5.3%9.6%11.9%6.5% short
Kill/death ratio0.920.981.030.11 short
Match win rate46.7%43.8%45.2%above

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBörjeDenStorePREMIER13,420 · Blue bandPEAK ELO1,180csdb.gg/stats

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Performance scores

Aim48
Positioning52
Utility66

0–100 skill scores via Leetify.

Recent form

COLD47–53Last 10047%Win rateLLLLWLLLLW

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · +1.5pp headshot accuracy · 0ms 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 -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 531ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 577ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 577ms

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 (+1.9 against its own average).

Aim4.8
Utility6.6
Positioning5.2
Opening Duels1.4
Clutch5.4

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 70% 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. 599ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim4.8
Positioning5.2
Utility6.6
Mechanics4.0
Opening Duels3.1
Win Impact2.8

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.03
first ⅓ avg -0.04 → last ⅓ avg -0.01
Reaction time608ms−36ms
first ⅓ avg 644ms → last ⅓ avg 608ms
Headshot accuracy19.6%+3.4%
first ⅓ avg 16.2% → last ⅓ avg 19.6%

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

0.08Best match rating · 13–8 · dust2, 6 Sept →
32%Best headshot accuracy · 13–6 · nuke, 14 Sept →
438msFastest reaction time · 7–13 · ancient, 21 Sept →
13–0Biggest win · inferno, 13 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L4Current streak
9–5In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 64% over 14ancientWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
dust2B2513–1252%-0.02
nukeB189–950%-0.03
ancientD155–1033%-0.03
anubisA149–564%-0.03
mirageC104–640%-0.01
cacheB84–450%0.00
infernoD62–433%-0.02
overpass—31–233%-0.06
vertigo—10–10%-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,999Lifetime kills
0.92K/D
2,421Matches
46.7%Match win rate · Top 50% of Blue band
41.8%Headshot %
5.3%Shot accuracy
4,567MVPs
1,018Hours (in match)
3,040Bombs planted
541Bombs defused

Most-used weapons

Lifetime map wins

4,637nuke
4,330dust2
3,687inferno
1,513train
1,101vertigo
219cbble
89aztec
45dust

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

Faceit stats

Combat

134Matches
52%Win rate
0.89Avg K/D
71.9ADR
48%Headshot %

Clutches & streaks

47%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke4262%0.8812.3
Ancient2348%0.9014.3
Anubis2055%0.9614.5
Inferno1631%0.9011.7
Train1362%0.7712.2
Dust21242%0.9515.1
Overpass540%0.7512.2
Cache2100%1.5413.5

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.

19.7%Headshot accuracy
28.2%Accuracy (enemy spotted)
28.8%Spray accuracy
68.2%Counter-strafing
9.1°Preaim
599msReaction time
48.4%T opening success
36.4%CT opening success
0.59Enemies flashed / flash
3.8%Flash assists
10.29HE damage / grenade
12.29Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.3708% — below the 40% mark we flag

Spend your practice time on Ancient

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

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–130.018%9 Oct →
cache4–13-0.045%1 Oct →
anubis7–13-0.0921%1 Oct →
inferno10–13-0.0629%1 Oct →
dust213–90.0222%23 Sept →
mirage7–13-0.0522%23 Sept →
mirage10–130.0422%22 Sept →
inferno3–130.0527%22 Sept →
ancient12–16-0.0727%21 Sept →
dust213–60.0319%21 Sept →
dust28–130.0319%21 Sept →
ancient7–130.0015%21 Sept →
cache13–10.0819%21 Sept →
dust29–13-0.0814%21 Sept →
inferno13–10-0.0314%21 Sept →
dust210–130.0421%21 Sept →
dust213–110.0020%18 Sept →
dust213–80.0229%18 Sept →
cache13–40.059%18 Sept →
anubis5–13-0.0129%18 Sept →
dust213–8-0.0423%18 Sept →
mirage13–110.0325%17 Sept →
anubis10–130.0215%17 Sept →
dust28–13-0.1024%17 Sept →
mirage3–13-0.0617%17 Sept →
mirage13–100.0122%17 Sept →
cache13–70.0012%17 Sept →
cache9–130.0311%17 Sept →
nuke13–6-0.0512%15 Sept →
nuke13–6-0.0032%14 Sept →
dust21–12-0.0426%14 Sept →
dust213–70.0827%14 Sept →
nuke8–130.0010%14 Sept →
mirage14–16-0.0623%14 Sept →
ancient13–11-0.0021%14 Sept →
dust213–16-0.0318%14 Sept →
dust22–13-0.0717%14 Sept →
ancient2–130.0125%14 Sept →
dust27–13-0.0518%14 Sept →
anubis5–13-0.0416%14 Sept →
nuke11–13-0.0010%14 Sept →
ancient3–13-0.075%14 Sept →
dust216–140.0121%13 Sept →
inferno13–00.0021%13 Sept →
dust210–13-0.0411%13 Sept →
nuke13–7-0.0412%13 Sept →
mirage13–10-0.0517%12 Sept →
anubis13–4-0.057%12 Sept →
dust213–7-0.0721%12 Sept →
ancient13–8-0.0415%11 Sept →
nuke9–13-0.0120%11 Sept →
dust213–80.0828%6 Sept →
nuke13–4-0.0115%5 Sept →
anubis13–20.0212%5 Sept →
ancient7–13-0.0416%5 Sept →
nuke10–13-0.0614%5 Sept →
anubis13–40.0513%4 Sept →
inferno10–13-0.0214%4 Sept →
ancient13–160.0316%4 Sept →
nuke14–160.0620%3 Sept →
mirage13–90.0113%1 Sept →
anubis13–5-0.0412%1 Sept →
mirage8–130.0019%1 Sept →
anubis13–7-0.0315%1 Sept →
dust213–2-0.0718%1 Sept →
ancient3–13-0.0730%1 Sept →
cache9–13-0.0330%1 Sept →
nuke16–130.0224%1 Sept →
anubis13–10-0.0627%1 Sept →
cache16–140.0021%1 Sept →
vertigo10–13-0.0821%31 Aug →
dust213–80.0122%31 Aug →
inferno9–13-0.0616%30 Aug →
anubis13–10.0221%30 Aug →
dust213–70.0221%30 Aug →
nuke8–13-0.079%29 Aug →
nuke11–13-0.0518%29 Aug →
cache12–16-0.0613%29 Aug →
nuke13–11-0.0516%1 Aug →
ancient5–13-0.0814%1 Aug →
ancient11–13-0.0615%11 Jul →
dust22–13-0.100%11 Jul →
anubis9–13-0.0411%18 Jun →
overpass13–6-0.0216%18 Jun →
ancient13–11-0.0313%18 Jun →
nuke6–13-0.0323%17 Jun →
dust29–13-0.0318%12 Jun →
overpass8–13-0.0916%12 Jun →
overpass7–13-0.0730%12 Jun →
nuke16–12-0.074%11 Jun →
ancient13–40.0114%11 Jun →
anubis16–14-0.0311%11 Jun →
dust213–8-0.0526%11 Jun →
ancient13–30.0221%11 Jun →
nuke13–9-0.0414%8 Jun →
nuke6–13-0.0612%6 Jun →
nuke13–7-0.0316%6 Jun →
ancient4–13-0.0115%5 Jun →
dust28–13-0.0310%5 Jun →
anubis16–14-0.0712%5 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 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.