Kixxiz

Kixxiz — CS2 Stats

HK76561199410233360[U:1:1449967632]Steam profile ↗✓ No bans

78Tracked matches50%Win rate2025Tracked since
139Hours in CS
CSDB Rating4.7 DevelopingPositional Player
WingmanSilver Elite Master
Ladder ranks via Leetify

Performance scores

Aim64
Positioning48
Utility17

0–100 skill scores via Leetify.

Recent form

STEADY31–35–11Last 7740%Win rateLWWWLLWLTW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +1.5pp headshot accuracy · −25ms 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 -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 627ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 627ms

Last 20

  • 9–7–4 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 639ms

Newest first, from the last 77 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 (+2.8 against its own average).

Aim6.4
Utility1.7
Positioning4.8
Opening Duels1.6
Clutch0.0

Limited 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

donk

Plays most like donk 86% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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.

Reaction time. 603ms 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

Aim6.4
Positioning4.8
Utility1.7
Mechanics6.1
Opening Duels1.8
Win Impact5.0

Composite 4.7/10 (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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time626ms−83ms
first ⅓ avg 709ms → last ⅓ avg 626ms
Headshot accuracy9.1%−6.9%
first ⅓ avg 15.9% → last ⅓ avg 9.1%

Rolling 5-match average across the last 77 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.37Best match rating · 9–0 · vertigo, 3 Oct →
30%Best headshot accuracy · 10–13 · mirage, 21 Dec →
438msFastest reaction time · 13–5 · boulder, 7 Oct →
13–3Biggest win · overpass, 2 May →

Across the last 77 tracked matches.

Highlights

4Longest win streak
3–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

overpassBest map · 60% over 5mirageWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
infernoC125–742%-0.04
vertigoB105–550%0.00
mirageD103–730%-0.01
nukeB84–450%-0.04
anubisA74–357%-0.02
dust2C52–340%-0.01
overpassA53–260%-0.05
cache—40–40%-0.04
boulder—43–175%-0.02
office—20–20%-0.07
train—20–20%-0.04
ancient—21–150%0.04
fachwerk—10–10%-0.06
poseidon—11–0100%0.08
debris—10–10%-0.16
italy—10–10%-0.07
palacio—10–10%-0.02
agency—10–10%-0.04

Across the last 77 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (30% over 10). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

3,709Lifetime kills
0.79K/D
241Matches
41.5%Match win rate
51.5%Headshot % · Top 25% of tracked players
0.0%Shot accuracy
437MVPs
139Hours (in match)
199Bombs planted
15Bombs defused

Most-used weapons

Lifetime map wins

334inferno
245vertigo
181nuke
179dust2
115train
55office
35italy
2ar_shoots

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

Faceit stats

Combat

1Matches
0%Win rate
0.00Avg K/D
1.6ADR
0%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

8.9%Headshot accuracy
39.4%Accuracy (enemy spotted)
42.9%Spray accuracy
77.3%Counter-strafing
10.6°Preaim
603msReaction time
38.9%T opening success
35.2%CT opening success
0.22Enemies flashed / flash
0.0%Flash assists
5.05HE damage / grenade
1.01Flashes / 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 8.9086% — 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 0.2211 — 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 38.9351% — below the 40% mark we flag

Spend your practice time on Mirage

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo8–13-0.039%17 Oct →
inferno13–8-0.0019%17 Oct →
dust212–30.0717%17 Oct →
nuke13–5-0.056%17 Oct →
nuke7–13-0.049%17 Oct →
inferno8–13-0.0110%16 Oct →
nuke9–50.057%16 Oct →
anubis14–16-0.028%16 Oct →
office12–12-0.077%16 Oct →
mirage13–8-0.0511%16 Oct →
vertigo8–80.0115%16 Oct →
anubis13–9-0.017%16 Oct →
dust210–13-0.0515%15 Oct →
mirage12–120.025%15 Oct →
inferno9–10.050%15 Oct →
mirage15–15-0.078%11 Oct →
inferno13–8-0.065%10 Oct →
inferno11–13-0.036%10 Oct →
anubis13–80.0411%10 Oct →
inferno5–13-0.1317%10 Oct →
cache11–130.0114%10 Oct →
mirage4–9-0.049%10 Oct →
boulder13–110.017%10 Oct →
inferno12–12-0.064%10 Oct →
anubis13–9-0.032%9 Oct →
nuke4–9-0.1021%8 Oct →
anubis13–110.018%8 Oct →
anubis2–13-0.063%8 Oct →
train5–6-0.0112%7 Oct →
boulder13–7-0.0511%7 Oct →
fachwerk2–13-0.0611%7 Oct →
overpass2–13-0.076%7 Oct →
boulder13–50.0411%7 Oct →
cache3–13-0.053%6 Oct →
ancient14–160.058%6 Oct →
boulder9–13-0.083%5 Oct →
nuke12–12-0.057%5 Oct →
nuke3–9-0.179%5 Oct →
train6–13-0.0611%4 Oct →
inferno13–4-0.0510%4 Oct →
dust212–12-0.0513%4 Oct →
vertigo13–6-0.107%4 Oct →
vertigo10–13-0.088%4 Oct →
poseidon9–30.0812%3 Oct →
vertigo9–00.376%3 Oct →
overpass9–30.1311%3 Oct →
nuke9–40.0718%3 Oct →
debris8–8-0.167%3 Oct →
inferno2–9-0.1529%3 Oct →
overpass13–6-0.0714%2 Oct →
italy4–13-0.0713%2 Oct →
cache2–13-0.0617%2 Oct →
ancient13–100.0319%2 Oct →
vertigo13–50.0010%2 Oct →
dust213–10-0.0012%2 Oct →
inferno8–13-0.0321%2 Oct →
overpass1–9-0.145%8 May →
cache2–13-0.0829%2 May →
overpass13–3-0.0722%2 May →
mirage13–9-0.017%3 Feb →
nuke13–4-0.0721%26 Jan →
palacio12–12-0.0216%20 Jan →
anubis12–12-0.0317%17 Jan →
dust27–13-0.0127%16 Jan →
mirage12–120.0415%15 Jan →
mirage8–13-0.0318%14 Jan →
vertigo1–11-0.0829%7 Jan →
vertigo13–40.0410%3 Jan →
mirage10–13-0.0012%30 Dec →
agency7–13-0.0417%27 Dec →
office5–13-0.079%26 Dec →
mirage13–70.0513%26 Dec →
vertigo10–13-0.1018%25 Dec →
inferno5–13-0.049%22 Dec →
inferno13–90.006%21 Dec →
mirage10–13-0.0530%21 Dec →
vertigo13–11-0.018%21 Dec →

Match data via Leetify.

Recent teammates

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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