kiwi

kiwi — CS2 Stats

76561199701761297[U:1:1741495569]Steam profile ↗✓ No bans

736Tracked matches43%Win rate2024Tracked since
CSDB Rating5.6 SolidAll-Rounder
Premier CS Rating14,321Blue band · top ~32% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (13 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: 14,321 -2,178 28 Jul – 4 Oct · 29 days played
14,32117,503peak 17,50328 Jul4 Oct
17,863Peak Premier in tracked matches
38Days played since 2026-07-28

Premier CS Rating

  • 3,182 below peak (17,503)
  • -679 over 30 days · declining
  • Next: Purple band at 15,000 — 679 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-16
  • Blue band first seen 2026-09-16

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

Share this profile

CSDB.GGkiwiFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER14,321 · Blue bandcsdb.gg/stats

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Performance scores

Aim73
Positioning61
Utility55

0–100 skill scores via Leetify.

Recent form

COLD46–51–3Last 10046%Win rateWWWLTLLLLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −0.9pp headshot accuracy · +27ms 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 614ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 566ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 553ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.3
Utility5.5
Positioning6.1
Opening Duels3.7
Clutch6.0

Strong CT-side opener

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 88% playstyle similarity

Most alike: utility contribution, positioning profile.

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

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 62% on CT to 33% 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

Aim7.3
Positioning6.1
Utility5.5
Mechanics6.3
Opening Duels4.4
Win Impact2.6

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time523ms−72ms
first ⅓ avg 595ms → last ⅓ avg 523ms
Headshot accuracy17.4%−1.2%
first ⅓ avg 18.5% → last ⅓ avg 17.4%

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.

Personal bests

0.10Best match rating · 13–8 · dust2, 3 Aug →
40%Best headshot accuracy · 13–4 · inferno, 10 Aug →
375msFastest reaction time · 6–13 · inferno, 28 Jul →
13–0Biggest win · inferno, 30 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
8–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 57% over 23cacheWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C2511–1444%0.00
mirageA2313–1057%0.00
nukeB178–947%0.02
infernoC114–736%-0.00
cacheD93–633%-0.02
ancientC73–443%-0.01
anubisB63–350%-0.02
office—11–0100%-0.05
vertigo—10–10%0.06

Across the last 100 tracked matches.

Faceit stats

Combat

29Matches
48%Win rate
1.22Avg K/D
72.5ADR
47%Headshot %

Clutches & streaks

50%1v1 clutch win
29%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage862%1.5217.4
Anubis580%1.2115.2
Dust2425%0.9516.3
Ancient450%1.3215.8
Inferno333%0.9614.3
Nuke333%1.0712.0
Cache20%0.9817.5

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.

17.3%Headshot accuracy
34.5%Accuracy (enemy spotted)
39.4%Spray accuracy
78.3%Counter-strafing
10.0°Preaim
534msReaction time
33.4%T opening success
61.9%CT opening success
0.58Enemies flashed / flash
7.2%Flash assists
7.60HE damage / grenade
11.83Flashes / 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 33.3746% — 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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke13–9-0.0413%14 Oct →
office13–4-0.0529%12 Oct →
nuke13–10-0.0110%12 Oct →
nuke11–13-0.039%12 Oct →
nuke12–120.0210%9 Oct →
mirage7–13-0.025%4 Oct →
nuke6–13-0.0730%4 Oct →
ancient8–13-0.076%4 Oct →
dust213–160.0615%3 Oct →
inferno9–130.0026%3 Oct →
dust23–13-0.0224%1 Oct →
nuke8–13-0.019%30 Sept →
anubis13–8-0.0619%29 Sept →
cache13–5-0.0415%29 Sept →
anubis5–13-0.0420%18 Sept →
dust213–110.0312%16 Sept →
dust25–13-0.0417%16 Sept →
dust28–30.0420%16 Sept →
dust211–13-0.0811%13 Sept →
nuke15–150.0613%11 Sept →
mirage13–11-0.0224%11 Sept →
mirage13–30.0426%9 Sept →
mirage13–70.0217%9 Sept →
anubis13–60.0531%8 Sept →
nuke13–60.0719%8 Sept →
inferno0–20.000%8 Sept →
dust210–130.0124%4 Sept →
ancient9–13-0.0122%4 Sept →
dust28–13-0.0128%3 Sept →
anubis5–13-0.0517%3 Sept →
mirage6–130.0020%2 Sept →
ancient13–60.0121%2 Sept →
mirage5–13-0.0114%2 Sept →
mirage16–130.0416%1 Sept →
inferno10–130.0117%30 Aug →
inferno13–110.0127%30 Aug →
cache9–13-0.0616%29 Aug →
mirage13–20.0620%26 Aug →
ancient13–6-0.0130%26 Aug →
dust29–13-0.0214%25 Aug →
nuke13–70.0736%23 Aug →
nuke11–30.0631%23 Aug →
dust214–160.0520%23 Aug →
vertigo8–130.0619%19 Aug →
inferno7–20.0517%19 Aug →
dust25–13-0.0415%17 Aug →
dust213–100.0714%17 Aug →
dust28–130.0115%17 Aug →
cache7–130.1013%16 Aug →
dust213–6-0.0223%16 Aug →
ancient11–13-0.0113%16 Aug →
cache10–13-0.0214%15 Aug →
mirage6–110.0422%15 Aug →
mirage13–11-0.0114%14 Aug →
cache6–13-0.0413%14 Aug →
dust22–13-0.0416%14 Aug →
dust28–13-0.0017%13 Aug →
dust213–11-0.0219%13 Aug →
mirage13–100.0812%13 Aug →
cache8–3-0.1027%13 Aug →
nuke13–20.0916%13 Aug →
dust211–13-0.0817%13 Aug →
nuke13–30.0221%13 Aug →
dust23–13-0.017%12 Aug →
mirage9–13-0.0120%12 Aug →
ancient8–13-0.0323%10 Aug →
mirage10–13-0.0611%10 Aug →
mirage10–13-0.0621%10 Aug →
inferno13–4-0.0140%10 Aug →
nuke8–130.0321%10 Aug →
mirage11–13-0.0016%10 Aug →
cache13–90.0325%10 Aug →
mirage6–13-0.0419%8 Aug →
mirage13–80.0522%8 Aug →
mirage13–9-0.0218%8 Aug →
ancient13–30.0222%8 Aug →
nuke15–150.0410%6 Aug →
anubis13–6-0.0619%6 Aug →
anubis9–130.017%3 Aug →
dust213–80.1013%3 Aug →
mirage13–110.0211%3 Aug →
inferno5–13-0.1021%3 Aug →
dust213–11-0.0516%2 Aug →
mirage16–140.0730%2 Aug →
cache7–130.0315%2 Aug →
nuke9–13-0.0115%2 Aug →
inferno9–13-0.0324%2 Aug →
inferno10–130.059%2 Aug →
dust213–9-0.0324%1 Aug →
dust213–50.0517%1 Aug →
dust213–9-0.0122%1 Aug →
mirage6–13-0.0518%30 Jul →
mirage13–6-0.045%30 Jul →
inferno13–00.0524%30 Jul →
nuke13–50.0414%28 Jul →
cache14–16-0.0419%28 Jul →
mirage13–50.0110%28 Jul →
inferno6–13-0.0929%28 Jul →
dust213–70.0722%28 Jul →
nuke9–13-0.0316%28 Jul →

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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