Kiwin ♧

Kiwin ♧ — CS2 Stats

DE76561198255394562[U:1:295128834]Steam profile ↗✓ No bans

3,461Tracked matches41%Win rate2020Tracked since
6,038Hours in CS24Hrs last 2 wks
CSDB Rating4.7 DevelopingPositional Player
Premier CS Rating22,851Top 25% of 213,399 CSDB-tracked playersPink band · top ~5.4% of ranked players (population est.)
CSDB Leaderboard#45392 of 259995 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (2 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: 22,851 -1,906 19 Aug – 3 Nov · 8 days played
21,86024,757peak 24,75719 Aug3 Nov
24,757Peak Premier in tracked matches
37Days played since 2026-08-11

Premier CS Rating

  • 1,906 below peak (24,757)
  • -1,906 over 90 days
  • Next: Red band at 25,000 — 2,149 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-10
  • Purple band first seen 2026-09-10

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

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate40.9%43.8%44.8%3.9% short
Shot accuracy15.7%12.0%12.4%above
Kill/death ratio1.071.021.03above
Match win rate51.0%44.7%45.2%above

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKiwin ♧FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER22,851 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim59
Positioning51
Utility45

0–100 skill scores via Leetify.

Recent form

HOT39–53–8Last 10039%Win rateWWWWWWWWLW

Last 10 vs previous 10: +80pp win rate · +0.00 avg rating · +2.9pp headshot accuracy · +113ms reaction

Win rate up 80pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 494ms

Last 10

  • 9–1 · 90% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 598ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 541ms

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 (+2.1 against its own average).

Aim5.9
Utility4.5
Positioning5.1
Opening Duels0.3
Clutch2.0

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

iM

Plays most like iM 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 577ms 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

Aim5.9
Positioning5.1
Utility4.5
Mechanics5.6
Opening Duels0.9
Win Impact1.9

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time551ms−11ms
first ⅓ avg 562ms → last ⅓ avg 551ms
Headshot accuracy16.9%−2.8%
first ⅓ avg 19.7% → last ⅓ avg 16.9%

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

0.24Best match rating · 9–4 · debris, 15 Aug →
56%Best headshot accuracy · 3–9 · dust2, 27 Sept →
375msFastest reaction time · 1–9 · nuke, 26 Oct →
13–4Biggest win · inferno, 3 Nov →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W8Current streak
7–10In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 57% over 7vertigoWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C229–1341%-0.01
poseidonC104–640%0.00
debrisA95–456%0.07
vertigoD81–713%-0.04
cacheC83–538%-0.02
officeD82–625%0.00
eldoradoB84–450%-0.01
infernoA74–357%-0.00
nuke—40–40%-0.06
rush_001—42–250%0.01
train—31–233%-0.03
overpass—20–20%-0.00
italy—22–0100%0.07
ancient—20–20%-0.01
fachwerk—11–0100%0.02
shelter—10–10%0.02
anubis—11–0100%0.01

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

230,261Lifetime kills
1.07K/D · Top 50% of Level 5 players
16,278Matches
51.0%Match win rate · Top 10% of Level 5 players
40.9%Headshot %
15.7%Shot accuracy · Top 25% of Level 5 players
44,439MVPs
3,110Hours (in match)
10,998Bombs planted
2,486Bombs defused

Most-used weapons

AK-4745,327
AWP41,087
SSG 0820,008
SG 5539,104
P906,052
UMP-454,326

Lifetime map wins

16,861dust2
7,837inferno
4,505vertigo
3,743nuke
3,678lake
1,835train
1,623cbble
1,470safehouse

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

Faceit stats

Combat

43Matches
56%Win rate
1.14Avg K/D
73.9ADR
45%Headshot %

Clutches & streaks

30%1v1 clutch win
5%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust21457%1.2913.1
Anubis771%1.0614.1
Ancient714%0.7812.3
Inferno5100%1.1917.4
Nuke250%1.4217.5
Mirage250%1.3022.5
Vertigo1100%1.3225.0

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.

18.8%Headshot accuracy
32.1%Accuracy (enemy spotted)
28.1%Spray accuracy
75.1%Counter-strafing
9.2°Preaim
577msReaction time
33.9%T opening success
33.1%CT opening success
0.63Enemies flashed / flash
3.5%Flash assists
10.01HE damage / grenade
3.98Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.979 — below the 4 mark we flag

    Grenade Lineups →
  2. 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 33.8997% — below the 40% mark we flag

Spend your practice time on Vertigo

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo9–7-0.0311%4 Nov →
dust213–80.0122%4 Nov →
inferno13–40.0216%3 Nov →
dust213–6-0.0523%3 Nov →
dust213–11-0.0421%2 Nov →
dust213–90.0417%2 Nov →
dust213–110.0412%2 Nov →
cache13–60.0231%2 Nov →
cache7–13-0.0335%2 Nov →
inferno13–7-0.0511%2 Nov →
office12–120.0320%1 Nov →
office5–13-0.0211%1 Nov →
office6–13-0.050%1 Nov →
vertigo8–8-0.0914%1 Nov →
nuke6–9-0.0412%1 Nov →
inferno7–90.0533%1 Nov →
office6–13-0.0420%1 Nov →
office3–13-0.0711%1 Nov →
office10–130.0633%1 Nov →
eldorado9–30.0916%26 Oct →
inferno7–9-0.0217%26 Oct →
debris6–9-0.059%26 Oct →
nuke1–9-0.2314%26 Oct →
poseidon5–9-0.0814%26 Oct →
vertigo6–90.0616%26 Oct →
cache6–13-0.0514%26 Oct →
dust212–120.0522%23 Oct →
dust29–13-0.0118%23 Oct →
overpass12–120.005%22 Oct →
dust213–10-0.066%22 Oct →
poseidon5–90.0010%21 Oct →
dust211–13-0.0320%16 Oct →
dust26–13-0.0223%14 Oct →
nuke10–130.0527%14 Oct →
inferno9–5-0.0021%13 Oct →
rush_0017–30.0740%11 Oct →
office13–90.0720%9 Oct →
train6–130.0214%8 Oct →
cache3–13-0.0313%8 Oct →
nuke3–13-0.0233%8 Oct →
rush_0016–8-0.088%2 Oct →
rush_0017–30.0129%2 Oct →
rush_0015–80.0221%1 Oct →
dust210–13-0.0032%30 Sept →
dust25–130.0816%30 Sept →
dust213–80.0915%29 Sept →
cache3–13-0.0113%27 Sept →
italy13–100.0820%27 Sept →
dust23–9-0.0656%27 Sept →
fachwerk13–60.0242%27 Sept →
poseidon9–50.2224%23 Sept →
vertigo4–9-0.1613%23 Sept →
eldorado7–9-0.0724%23 Sept →
debris9–20.0113%23 Sept →
debris4–9-0.0942%19 Sept →
eldorado7–9-0.0632%19 Sept →
poseidon6–9-0.024%19 Sept →
poseidon4–9-0.0125%15 Sept →
vertigo4–9-0.0332%15 Sept →
debris8–80.0926%9 Sept →
vertigo2–9-0.1310%8 Sept →
debris9–50.1523%8 Sept →
poseidon7–9-0.1221%8 Sept →
overpass6–9-0.0114%7 Sept →
eldorado9–30.1125%7 Sept →
vertigo8–80.049%7 Sept →
debris9–60.0810%7 Sept →
poseidon2–9-0.1233%7 Sept →
debris9–30.0228%6 Sept →
eldorado9–50.1017%6 Sept →
vertigo5–90.0111%6 Sept →
poseidon9–40.0526%6 Sept →
eldorado9–7-0.0121%1 Sept →
cache13–50.0318%30 Aug →
shelter7–130.0232%30 Aug →
italy13–50.0527%30 Aug →
inferno13–100.0321%29 Aug →
dust25–13-0.0419%28 Aug →
dust212–12-0.0311%28 Aug →
dust213–11-0.0314%26 Aug →
dust29–130.0029%26 Aug →
cache14–16-0.0513%20 Aug →
dust29–130.0322%20 Aug →
dust24–13-0.0416%20 Aug →
dust28–13-0.076%20 Aug →
anubis13–110.0114%19 Aug →
dust213–10-0.019%19 Aug →
cache13–6-0.0319%19 Aug →
inferno5–13-0.0623%19 Aug →
train8–9-0.046%18 Aug →
ancient6–13-0.0312%18 Aug →
office13–50.0519%16 Aug →
train13–8-0.0620%16 Aug →
poseidon9–70.0731%16 Aug →
debris8–80.1417%15 Aug →
eldorado6–90.0013%15 Aug →
eldorado2–9-0.2128%15 Aug →
poseidon9–50.0329%15 Aug →
debris9–40.2418%15 Aug →
ancient11–130.0128%11 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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