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Kuparikeisari — CS2 Stats

76561198103996104[U:1:143730376]✓ No bans

446Tracked matches38%Win rate2020Tracked since
CSDB Rating4.1 DevelopingPassive Rifler
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGKuparikeisariFACEITLevel 1STANDINGTop 100.0% of rankedcsdb.gg/stats

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Performance scores

Aim60
Positioning34
Utility39

0–100 skill scores via Leetify.

Recent form

COLD39–58–3Last 10039%Win rateLLLLWLTLLW

Last 10 vs previous 10: -30pp win rate · -0.04 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim6.0
Aggression3.4
Utility3.9
Positioning3.4
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 73% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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. 698ms 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

Aim6.0
Positioning3.4
Utility3.9
Mechanics6.4
Opening Duels0.2
Win Impact1.0

Composite 4.1/10 (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-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time712ms−38ms
first ⅓ avg 750ms → last ⅓ avg 712ms
Headshot accuracy13.4%−4.3%
first ⅓ avg 17.7% → last ⅓ avg 13.4%

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.

Highlights

0.11Best rating — anubis 5–8
13–1Biggest win — inferno
4Longest win streak
L4Current streak
5–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 57% over 7ancientWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
infernoB199–1047%-0.01
dust2D165–1131%-0.04
ancientD123–925%-0.01
anubisB115–645%-0.01
nukeB105–550%-0.03
mirageA74–357%-0.05
trainC73–443%-0.05
overpass—42–250%-0.04
agency—31–233%-0.02
vertigo—21–150%-0.02
shelter—10–10%-0.08
cache—10–10%-0.13
brewery—10–10%-0.13
dogtown—10–10%-0.10
grail—10–10%-0.07
jura—10–10%-0.00
italy—10–10%-0.04
edin—11–0100%0.03
basalt—10–10%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

140Matches
48%Win rate
0.84Avg K/D
—ADR
42%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage30%0.459.3
Nuke1100%0.7110.0
Ancient1100%0.569.0
Vertigo1100%0.7710.0
Anubis1100%1.7514.0
Dust210%0.8814.0

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.

12.7%Headshot accuracy
38.0%Accuracy (enemy spotted)
44.9%Spray accuracy
78.8%Counter-strafing
10.6°Preaim
698msReaction time
31.8%T opening success
25.3%CT opening success
0.39Enemies flashed / flash
1.5%Flash assists
10.39HE damage / grenade
6.88Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.701% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3858 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 31.8357% — 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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis9–13-0.0711%21 Jul →
dust26–13-0.106%21 Jul →
shelter3–13-0.089%21 Jul →
inferno9–13-0.0830%16 Jul →
anubis13–11-0.076%16 Jul →
ancient1–13-0.0614%16 Jul →
inferno15–150.0415%11 Jul →
inferno10–130.0113%11 Jul →
anubis10–13-0.0412%8 Jul →
nuke13–10-0.0211%8 Jul →
mirage9–13-0.0812%2 Jul →
anubis9–130.0210%25 Jun →
nuke8–130.005%25 Jun →
ancient13–90.0516%25 Jun →
inferno8–13-0.0613%25 Jun →
inferno13–80.0711%11 Jun →
dust213–6-0.0011%11 Jun →
mirage13–8-0.0712%11 Jun →
mirage13–110.0117%11 Jun →
inferno7–130.0115%11 Jun →
dust24–13-0.0727%11 Jun →
inferno13–8-0.0219%11 Jun →
anubis5–80.1111%3 Jun →
inferno13–60.0510%24 May →
dust25–13-0.0612%24 May →
mirage8–13-0.0416%5 May →
nuke13–5-0.089%5 May →
dust213–7-0.017%4 May →
nuke9–13-0.0014%4 May →
anubis10–13-0.016%4 May →
inferno4–13-0.0521%4 May →
cache1–13-0.1327%3 May →
mirage13–10-0.0214%3 May →
dust214–16-0.0214%1 May →
dust211–13-0.0510%26 Apr →
nuke13–10-0.0216%21 Apr →
ancient11–13-0.009%7 Apr →
dust27–130.0127%6 Apr →
overpass13–8-0.0814%8 Jan →
dust213–8-0.0521%21 Dec →
mirage13–8-0.049%21 Dec →
train13–7-0.0414%7 Dec →
ancient3–13-0.0815%7 Dec →
inferno13–8-0.0326%30 Nov →
anubis13–2-0.0410%17 Nov →
ancient2–13-0.0210%14 Oct →
inferno10–13-0.0813%10 Oct →
dust27–13-0.0514%9 Oct →
nuke13–100.0216%9 Oct →
ancient13–60.0523%23 Sept →
inferno13–10.0225%12 Sept →
brewery7–9-0.1318%11 Sept →
dogtown2–9-0.1013%11 Sept →
ancient8–13-0.0313%11 Sept →
nuke8–13-0.0119%11 Sept →
grail10–13-0.0717%27 Aug →
inferno13–10-0.0318%31 Jul →
anubis13–40.0522%31 Jul →
train12–12-0.0222%10 Jul →
inferno13–110.0516%23 Jun →
ancient13–30.0521%8 Jun →
agency6–00.0315%5 Jun →
anubis13–8-0.0111%25 May →
jura2–13-0.007%22 May →
agency2–13-0.089%16 May →
inferno6–130.0422%16 May →
train13–110.006%16 May →
ancient9–13-0.0315%16 May →
anubis3–13-0.0711%16 May →
dust213–8-0.0510%16 May →
ancient7–13-0.0615%14 May →
agency8–13-0.0118%11 May →
dust215–15-0.0613%7 May →
nuke13–7-0.0824%7 May →
italy10–13-0.0426%4 May →
dust213–11-0.0419%4 May →
vertigo13–100.0122%3 May →
inferno9–13-0.0412%22 Apr →
edin13–50.0322%20 Apr →
basalt8–13-0.0411%20 Apr →
ancient11–130.0226%19 Apr →
nuke13–160.019%18 Apr →
overpass13–1-0.0029%29 Mar →
inferno5–13-0.0312%28 Mar →
ancient9–13-0.0215%23 Mar →
overpass3–4-0.0311%17 Mar →
nuke4–13-0.1324%17 Mar →
anubis13–70.0627%16 Mar →
dust26–13-0.0810%27 Feb →
train9–13-0.1123%18 Feb →
mirage4–13-0.0821%18 Feb →
train10–13-0.0513%18 Feb →
inferno13–8-0.0310%16 Feb →
dust23–13-0.0712%23 Dec →
inferno13–9-0.0124%8 Dec →
train6–13-0.0617%30 Nov →
vertigo7–13-0.0617%29 Nov →
overpass7–13-0.0520%23 Nov →
train3–0-0.0933%23 Nov →
dust29–13-0.0312%23 Nov →

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 →

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