Kuisis

Kuisis — CS2 Stats

GB76561198088264589[U:1:127998861]Steam profile ↗✓ No bans

107Tracked matches54%Win rate2020Tracked since
CSDB Rating6.7 SolidSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 107 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,615 +9,616 18 Jan – 18 Jan · 18 days played
14,99924,615peak 24,61518 Jan18 Jan
24,615Peak Premier in tracked matches
36Days played since 2025-01-14

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

Performance scores

Aim77
Positioning63
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY56–40–4Last 10056%Win rateLWLWWWLWWL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +4.4pp headshot accuracy · −53ms reaction

Win rate +10pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 503ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 491ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 518ms

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 (+1.3 against its own average).

Aim7.7
Utility7.1
Positioning6.3
Opening Duels4.1

Strong CT-side openerEffective 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 86% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

T-side openings. Opening success drops from 59% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.7
Positioning6.3
Utility7.1
Mechanics7.3
Opening Duels3.7
Win Impact6.2

Composite 6.7/10 (Solid), 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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time540ms−95ms
first ⅓ avg 634ms → last ⅓ avg 540ms
Headshot accuracy18.3%−2.2%
first ⅓ avg 20.5% → last ⅓ avg 18.3%

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

0.21Best match rating · 13–4 · mirage, 18 Jan →
54%Best headshot accuracy · 1–13 · nuke, 28 Feb →
344msFastest reaction time · 13–7 · inferno, 6 Apr →
13–1Biggest win · anubis, 3 Sept →

Across the last 100 tracked matches.

Highlights

9Longest win streak
10–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

trainBest map · 80% over 5ancientWeakest map · 44% over 16
MapGradePlayedRecordWin rateAvg rating
anubisB179–853%0.02
nukeA1710–759%0.04
infernoA169–756%0.01
mirageA1610–663%0.04
ancientC167–944%0.01
dust2A85–363%0.02
trainS54–180%0.02
cache—20–20%0.01
overpass—22–0100%0.09
vertigo—10–10%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.7%Headshot accuracy
35.1%Accuracy (enemy spotted)
40.5%Spray accuracy
83.0%Counter-strafing
10.3°Preaim
536msReaction time
21.1%T opening success
59.3%CT opening success
0.72Enemies flashed / flash
11.6%Flash assists
9.98HE damage / grenade
11.13Flashes / 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 21.0585% — 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.

44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno3–13-0.0341%3 Sept →
mirage13–20.0823%3 Sept →
cache10–13-0.0118%3 Sept →
anubis13–20.0928%3 Sept →
ancient13–60.0417%3 Sept →
anubis13–10.0513%3 Sept →
mirage7–130.0119%2 Sept →
nuke13–70.0819%2 Sept →
anubis13–80.0318%2 Sept →
inferno9–130.0115%2 Sept →
nuke10–130.0115%2 Sept →
inferno13–80.0010%2 Sept →
ancient15–15-0.0220%1 Sept →
cache5–130.0313%1 Sept →
mirage13–110.0310%1 Sept →
dust28–13-0.0621%1 Sept →
dust213–160.0129%1 Sept →
mirage13–40.2111%18 Jan →
dust213–110.0321%18 Jan →
inferno13–90.0219%18 Jan →
mirage3–13-0.0513%18 Jan →
nuke13–110.0717%17 Jan →
ancient5–13-0.0024%17 Jan →
inferno13–90.029%17 Jan →
ancient11–13-0.0512%17 Jan →
overpass13–60.1320%17 Jan →
nuke7–130.0216%17 Jan →
dust215–150.0413%17 Jan →
ancient10–13-0.0320%17 Jan →
mirage13–100.0612%20 Sept →
inferno13–100.0817%19 Sept →
nuke13–70.1330%19 Sept →
overpass16–140.0520%5 Sept →
train7–130.0333%3 Sept →
inferno12–160.0421%3 Sept →
train13–110.0417%20 Aug →
anubis4–13-0.0221%7 May →
anubis3–130.0312%5 May →
train13–70.0719%5 May →
inferno4–13-0.0919%5 May →
ancient11–130.0412%1 May →
anubis13–20.1415%1 May →
ancient13–60.0921%1 May →
inferno11–130.0112%1 May →
nuke13–50.0212%1 May →
anubis15–150.0417%1 May →
ancient13–30.0629%1 May →
nuke13–70.0324%27 Apr →
mirage7–13-0.076%27 Apr →
ancient6–13-0.0521%19 Apr →
nuke13–100.0227%19 Apr →
mirage13–50.0331%19 Apr →
mirage13–30.1326%14 Apr →
inferno8–13-0.0117%11 Apr →
anubis9–13-0.027%11 Apr →
ancient7–13-0.0213%11 Apr →
nuke6–13-0.0212%9 Apr →
ancient14–16-0.0015%6 Apr →
inferno13–70.0914%6 Apr →
inferno5–13-0.1019%4 Apr →
ancient13–50.0425%4 Apr →
anubis11–130.0130%4 Apr →
inferno13–100.0313%2 Apr →
nuke9–130.0513%2 Apr →
mirage10–130.0627%29 Mar →
inferno13–60.0217%29 Mar →
ancient13–11-0.0113%19 Mar →
mirage4–13-0.1212%19 Mar →
anubis16–14-0.0114%5 Mar →
train13–50.0114%5 Mar →
nuke0–13-0.0827%28 Feb →
nuke1–130.0154%28 Feb →
ancient11–13-0.0217%25 Feb →
mirage13–11-0.0319%25 Feb →
anubis6–13-0.0525%19 Feb →
mirage13–80.0727%19 Feb →
ancient13–5-0.0123%19 Feb →
anubis8–13-0.0228%17 Feb →
anubis5–13-0.0117%16 Feb →
nuke13–60.0221%16 Feb →
train13–8-0.0416%16 Feb →
anubis13–60.0415%7 Feb →
dust213–11-0.0018%6 Feb →
nuke11–130.0018%6 Feb →
anubis13–100.0219%5 Feb →
inferno13–90.0413%5 Feb →
nuke13–80.0728%5 Feb →
anubis13–100.0421%18 Jan →
nuke13–90.1312%18 Jan →
dust213–60.0424%18 Jan →
mirage8–10.1214%18 Jan →
nuke13–60.0830%17 Jan →
mirage13–30.1027%16 Jan →
vertigo7–13-0.0021%16 Jan →
mirage15–150.0814%16 Jan →
ancient13–10.0812%14 Jan →
dust213–100.0719%14 Jan →
anubis13–90.0613%14 Jan →
dust213–110.0717%14 Jan →
inferno13–20.0730%14 Jan →

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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