Kivi

Kivi — CS2 Stats

76561198010662856[U:1:50397128]Steam profile ↗✓ No bans

537Tracked matches54%Win rate2020Tracked since
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating8,177Light Blue band · top ~63.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (6 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: 8,177 +4,633 7 Sept – 30 Oct · 22 days played
3,5448,177peak 8,1777 Sept30 Oct
8,177Peak Premier in tracked matches
37Days played since 2025-09-07

Premier CS Rating

  • At peak — 8,177
  • +3,637 over 90 days
  • Next: Blue band at 10,000 — 1,823 to go
  • Reached: Light Blue band

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

Share this profile

CSDB.GGKiviPREMIER8,177 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim61
Positioning60
Utility15

0–100 skill scores via Leetify.

Recent form

STEADY36–58–6Last 10036%Win rateWWLLWWWTWL

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · −0.3pp headshot accuracy · −20ms 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 0.04
  • Avg headshot accuracy 13%
  • Avg reaction 553ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 10%
  • Avg reaction 564ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 10%
  • Avg reaction 574ms

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: Positional Player — Positioning stands above the rest of this profile (+2.4 against its own average).

Aim6.1
Utility1.5
Positioning6.0
Opening Duels3.3

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 80% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

Strengths

T openings. 60% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 60% on T to 41% on CT — first contacts on the defending side are being lost.

Reaction time. 574ms 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

Aim6.1
Positioning6.0
Utility1.5
Mechanics6.8
Opening Duels5.1
Win Impact6.2

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time573ms−11ms
first ⅓ avg 584ms → last ⅓ avg 573ms
Headshot accuracy11.2%−0.0%
first ⅓ avg 11.2% → last ⅓ avg 11.2%

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

0.12Best match rating · 13–4 · inferno, 4 Sept →
38%Best headshot accuracy · 6–13 · mirage, 30 Jul →
391msFastest reaction time · 13–10 · mirage, 7 Aug →
13–2Biggest win · ancient, 4 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
W2Current streak
4–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 67% over 6anubisWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
nukeB209–1145%0.01
mirageD206–1430%0.00
infernoC167–944%0.01
dust2D133–1023%-0.00
ancientC125–742%0.01
anubisD70–70%-0.00
cacheS64–267%-0.00
overpassC52–340%-0.00
train—10–10%-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Anubis 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.

11.0%Headshot accuracy
33.4%Accuracy (enemy spotted)
43.8%Spray accuracy
80.4%Counter-strafing
11.3°Preaim
574msReaction time
60.4%T opening success
40.6%CT opening success
0.20Enemies flashed / flash
3.1%Flash assists
7.36HE damage / grenade
0.43Flashes / 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 10.9689% — 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 0.2 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–100.019%30 Oct →
nuke13–110.048%29 Oct →
mirage6–130.0420%29 Oct →
dust211–13-0.017%29 Oct →
cache13–30.1021%29 Oct →
ancient13–110.078%26 Oct →
inferno13–10-0.018%26 Oct →
anubis15–150.009%26 Oct →
dust213–30.093%25 Oct →
mirage8–13-0.0610%23 Oct →
mirage10–3-0.030%22 Oct →
inferno13–60.0520%22 Oct →
inferno13–8-0.0916%22 Oct →
cache13–160.015%21 Oct →
nuke13–40.0813%21 Oct →
dust215–150.0110%16 Oct →
cache13–10-0.0314%16 Oct →
mirage9–13-0.067%16 Oct →
ancient0–6-0.0811%16 Oct →
nuke8–13-0.0210%16 Oct →
mirage13–70.0119%16 Oct →
nuke9–13-0.010%19 Sept →
mirage4–120.0513%19 Sept →
cache11–13-0.0211%18 Sept →
dust27–13-0.0817%18 Sept →
cache13–6-0.0314%18 Sept →
mirage7–13-0.0113%18 Sept →
ancient13–40.0010%18 Sept →
inferno13–50.0619%18 Sept →
anubis10–13-0.0512%18 Sept →
nuke13–70.086%18 Sept →
anubis10–130.018%11 Sept →
dust213–110.0420%4 Sept →
ancient13–20.088%4 Sept →
dust27–130.0821%4 Sept →
inferno13–40.1226%4 Sept →
mirage10–130.0316%4 Sept →
nuke15–150.068%4 Sept →
ancient15–150.0414%4 Sept →
mirage11–130.019%21 Aug →
nuke13–60.0425%20 Aug →
anubis5–130.0217%20 Aug →
nuke1–13-0.1111%14 Aug →
nuke13–20.0412%7 Aug →
mirage13–100.0317%7 Aug →
inferno9–13-0.0123%7 Aug →
inferno9–130.0816%2 Aug →
ancient7–130.0116%1 Aug →
inferno15–15-0.0110%1 Aug →
dust210–130.0611%1 Aug →
nuke4–130.029%30 Jul →
anubis7–130.0119%30 Jul →
inferno1–13-0.0513%30 Jul →
dust23–13-0.0227%30 Jul →
mirage6–130.0438%30 Jul →
anubis7–13-0.0019%30 Jul →
ancient4–13-0.0218%30 Jul →
inferno13–9-0.027%28 Jul →
cache13–6-0.0517%28 Jul →
nuke13–100.005%23 Jul →
dust29–13-0.0616%23 Jul →
anubis7–13-0.0210%18 Jul →
dust213–5-0.0221%18 Jul →
mirage13–90.057%18 Jul →
dust27–13-0.049%13 Jun →
overpass3–13-0.076%22 May →
inferno7–13-0.093%22 May →
nuke11–130.0517%22 May →
mirage14–16-0.0313%22 May →
nuke5–13-0.037%22 May →
dust211–130.0510%16 May →
mirage2–130.0123%16 May →
mirage13–70.0411%15 May →
ancient2–13-0.018%15 May →
nuke3–130.0511%30 Apr →
inferno9–130.009%30 Apr →
overpass13–7-0.0025%2 Apr →
inferno4–13-0.050%2 Apr →
ancient7–13-0.059%2 Apr →
mirage13–8-0.0421%2 Apr →
nuke4–13-0.134%2 Apr →
mirage0–40.000%1 Apr →
inferno15–150.0311%30 Jan →
nuke6–13-0.028%30 Jan →
mirage2–13-0.0820%9 Nov →
nuke6–13-0.0327%9 Nov →
overpass10–130.049%8 Nov →
inferno9–130.039%8 Nov →
mirage4–13-0.0125%2 Nov →
mirage9–130.0410%25 Oct →
inferno13–110.0713%25 Oct →
nuke13–40.046%25 Oct →
ancient13–7-0.0111%25 Oct →
ancient6–13-0.0116%18 Oct →
nuke13–90.043%18 Oct →
train3–13-0.067%18 Oct →
overpass13–100.046%17 Oct →
ancient13–40.0518%17 Oct →
dust20–6-0.120%7 Sept →
overpass5–13-0.026%7 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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