Q4-Bi. #Peaked 2017

Q4-Bi. #Peaked 2017 — CS2 Stats

AU76561198023656775[U:1:63391047]Steam profile ↗✓ No bans

1,732Tracked matches21%Win rate2020Tracked since
1,834Hours in CS
CSDB Rating5.1 DevelopingSupport
Premier CS Rating18,874Top 50% of 215,558 CSDB-tracked playersPurple band · top ~13% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (49 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: 18,874 -689 21 Apr – 27 Sept · 27 days played
18,62622,975peak 22,97521 Apr27 Sept
23,093Peak Premier in tracked matches
1,845Highest Faceit ELO seen on CSDB
32Days played since 2026-04-21

Faceit ELO

  • At peak — 1,845
  • Next: Level 10 at 2,001 — 156 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

Premier CS Rating

  • 4,101 below peak (22,975)
  • -1,789 over 30 days · declining
  • -1,269 over 90 days
  • Next: Pink band at 20,000 — 1,126 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=42,517), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate37.2%44.4%46.9%9.7% short
Shot accuracy16.0%11.8%13.0%above
Kill/death ratio1.081.031.08meets
Match win rate50.5%45.3%46.7%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGQ4-Bi. #Peaked 2017PREMIER18,874 · Purple bandPEAK ELO1,845csdb.gg/stats

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Performance scores

Aim75
Positioning51
Utility56

0–100 skill scores via Leetify.

Recent form

COLD42–52–6Last 10042%Win rateLWLTLLLWLL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −4.4pp headshot accuracy · −30ms reaction

Win rate 0pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 469ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 490ms

Last 20

  • 4–14–2 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 505ms

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 (+2 against its own average).

Aim7.5
Utility5.6
Positioning5.1
Opening Duels1.5
Clutch2.2

Effective flashes

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

NiKo

Plays most like NiKo 90% 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

Strengths

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

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

Aim7.5
Positioning5.1
Utility5.6
Mechanics5.2
Opening Duels1.7
Win Impact0.0

Composite 5.1/10 (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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time498ms−51ms
first ⅓ avg 549ms → last ⅓ avg 498ms
Headshot accuracy17.7%+3.9%
first ⅓ avg 13.8% → last ⅓ avg 17.7%

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

0.19Best match rating · 13–2 · dust2, 15 Jul →
60%Best headshot accuracy · 2–0 · inferno, 15 May →
328msFastest reaction time · 2–0 · inferno, 15 May →
13–0Biggest win · nuke, 12 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 70% over 10cacheWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2D248–1633%-0.00
mirageB2010–1050%0.00
infernoC176–1135%0.02
nukeD134–931%-0.02
ancientS107–370%-0.02
anubisA74–357%-0.01
cacheD61–517%-0.01
overpass—32–167%0.03

Across the last 100 tracked matches.

Lifetime stats

75,609Lifetime kills
1.08K/D · Top 50% of Purple band
4,049Matches
50.5%Match win rate · Top 25% of Purple band
37.2%Headshot %
16.0%Shot accuracy · Top 25% of Purple band
11,514MVPs
1,834Hours (in match)
2,271Bombs planted
1,292Bombs defused

Most-used weapons

AK-4715,576
AWP7,890
MAC-102,833
XM10142,359
Knife2,298
Tec-91,839

Lifetime map wins

9,881dust2
8,722inferno
1,897nuke
1,670vertigo
942train
235office
229cbble
134italy

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

Faceit stats

Combat

654Matches
49%Win rate
1.02Avg K/D
76.7ADR
38%Headshot %

Clutches & streaks

31%1v1 clutch win
12%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3656%1.0816.7
Anubis2544%1.1416.8
Ancient2060%1.0716.1
Inferno1953%1.0714.5
Dust21937%1.0814.7
Nuke1136%0.8614.3
Vertigo1136%0.9116.1
Overpass757%1.1920.6

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.

17.9%Headshot accuracy
31.8%Accuracy (enemy spotted)
40.4%Spray accuracy
73.3%Counter-strafing
8.4°Preaim
498msReaction time
41.1%T opening success
32.7%CT opening success
0.78Enemies flashed / flash
5.9%Flash assists
6.04HE damage / grenade
8.47Flashes / 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 32.7133% — below the 40% mark we flag

Spend your practice time on Cache

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage8–130.0124%27 Sept →
dust213–70.0517%27 Sept →
dust213–16-0.0712%17 Sept →
inferno15–15-0.0121%17 Sept →
dust23–13-0.088%17 Sept →
cache9–13-0.0311%15 Sept →
nuke11–130.0021%15 Sept →
ancient13–70.0917%15 Sept →
anubis5–13-0.0014%9 Sept →
cache7–130.0113%8 Sept →
inferno4–90.0013%6 Sept →
nuke1–9-0.0538%6 Sept →
mirage6–130.0021%5 Sept →
inferno13–80.0924%5 Sept →
dust213–9-0.009%5 Sept →
dust211–130.0318%5 Sept →
mirage6–13-0.0719%5 Sept →
mirage7–130.0420%5 Sept →
inferno15–150.0625%5 Sept →
inferno8–130.0514%1 Sept →
nuke0–2-0.090%1 Sept →
mirage13–11-0.0225%31 Aug →
inferno10–13-0.0214%2 Aug →
dust23–13-0.026%2 Aug →
inferno6–13-0.0318%27 Jul →
mirage13–40.0329%26 Jul →
nuke7–13-0.035%26 Jul →
dust21–13-0.056%25 Jul →
dust24–13-0.0842%25 Jul →
cache6–13-0.0723%25 Jul →
dust21–130.0316%24 Jul →
dust28–130.0021%24 Jul →
dust27–13-0.0121%19 Jul →
mirage13–50.1217%19 Jul →
anubis13–11-0.0220%19 Jul →
nuke13–70.0056%19 Jul →
mirage13–70.0522%19 Jul →
mirage13–60.0010%18 Jul →
dust213–5-0.0115%18 Jul →
cache13–70.0517%18 Jul →
nuke8–13-0.0415%18 Jul →
nuke6–130.030%18 Jul →
ancient13–9-0.098%18 Jul →
mirage7–13-0.024%18 Jul →
inferno16–130.0413%17 Jul →
nuke11–13-0.047%15 Jul →
ancient13–8-0.066%15 Jul →
ancient13–9-0.0413%15 Jul →
dust213–20.1927%15 Jul →
cache3–130.006%14 Jul →
mirage0–13-0.0812%27 Jun →
mirage6–13-0.078%27 Jun →
dust213–10-0.0011%27 Jun →
anubis13–90.0625%17 May →
mirage2–13-0.023%17 May →
dust213–5-0.1015%17 May →
inferno13–7-0.014%17 May →
ancient15–15-0.0113%17 May →
anubis10–13-0.0713%17 May →
inferno13–90.0319%15 May →
mirage13–7-0.0314%15 May →
inferno2–00.1160%15 May →
mirage13–60.0129%15 May →
dust29–130.006%15 May →
dust22–13-0.0523%15 May →
anubis7–13-0.0717%12 May →
ancient13–6-0.0713%12 May →
ancient10–13-0.0414%12 May →
nuke13–0-0.0314%12 May →
anubis13–80.0818%12 May →
mirage10–13-0.0116%12 May →
ancient13–60.0220%12 May →
inferno9–130.0316%11 May →
ancient6–130.0412%11 May →
dust213–8-0.0112%11 May →
overpass7–130.0112%4 May →
inferno15–15-0.0113%4 May →
anubis13–3-0.0414%4 May →
cache8–13-0.0418%4 May →
inferno13–90.0215%4 May →
dust212–120.0420%4 May →
dust29–130.0518%27 Apr →
mirage13–110.1022%26 Apr →
overpass13–110.0213%26 Apr →
dust25–13-0.0618%26 Apr →
mirage9–13-0.0412%25 Apr →
nuke13–7-0.0210%25 Apr →
ancient13–11-0.019%25 Apr →
dust211–13-0.0014%25 Apr →
overpass13–100.0710%24 Apr →
nuke15–150.0212%24 Apr →
inferno10–130.0210%23 Apr →
nuke10–130.0115%23 Apr →
nuke13–50.0116%23 Apr →
mirage13–5-0.014%22 Apr →
inferno4–130.059%22 Apr →
inferno9–13-0.0715%21 Apr →
dust213–60.0413%21 Apr →
dust27–130.0410%21 Apr →
mirage13–80.0312%21 Apr →

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 →

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