(っ◔◡◔) ♥ Kanto ♥

(っ◔◡◔) ♥ Kanto ♥ — CS2 Stats

DE76561199834075777[U:1:1873810049]Steam profile ↗✓ No bans

487Tracked matches54%Win rate2025Tracked since
633Hours in CS0Hrs last 2 wks
CSDB Rating3.2 LearningClutch Specialist
Premier CS Rating7,815Light Blue band · top ~65.3% of ranked players (population est.)
WingmanSilver II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Aug 2026 (47 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: 7,815 +3,108 13 Jul – 15 Aug · 15 days played
4,7078,796peak 8,79613 Jul15 Aug
8,796Peak Premier in tracked matches
28Days played since 2026-07-02

Premier CS Rating

  • 981 below peak (8,796)
  • +1,016 over 30 days · improving
  • Next: Blue band at 10,000 — 2,185 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.

Compare periods

Last 30 days vs previous 30

No matches recorded between 5 Sep 2026 and 1 Oct 2026.

Measured 5 Sep 2026 → 1 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate37.2%39.9%41.9%4.7% short
Shot accuracy0.0%7.0%9.6%9.6% short
Kill/death ratio0.660.920.980.32 short
Match win rate41.9%42.3%43.8%1.9% short

This profile sits below the typical Blue band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG(っ◔◡◔) ♥ Kanto ♥PREMIER7,815 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim40
Positioning29
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateLWLTWWLWWL

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +1.5pp headshot accuracy · −80ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 670ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 635ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 675ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.4 against its own average).

Aim4.0
Utility2.7
Positioning2.9
Opening Duels0.0
Clutch5.0

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 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

Areas to improve

Reaction time. 643ms 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

Aim4.0
Positioning2.9
Utility2.7
Mechanics5.2
Opening Duels0.0
Win Impact6.2

Composite 3.2/10 (Learning), 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 rating-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time653ms+29ms
first ⅓ avg 623ms → last ⅓ avg 653ms
Headshot accuracy11.3%−1.3%
first ⅓ avg 12.6% → last ⅓ avg 11.3%

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

0.18Best match rating · 13–1 · inferno, 15 Jul →
26%Best headshot accuracy · 13–9 · dust2, 13 Jul →
430msFastest reaction time · 3–9 · inferno, 14 Jul →
13–1Biggest win · inferno, 15 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–3In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 62% over 13cacheWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C2611–1542%-0.03
mirageB2211–1150%-0.02
nukeC146–843%-0.00
infernoA138–562%0.02
cacheD103–730%-0.00
ancient—44–0100%-0.01
train—31–233%-0.05
vertigo—22–0100%-0.02
anubis—21–150%-0.04
office—21–150%-0.00
fachwerk—10–10%-0.05
shelter—11–0100%-0.09

Across the last 100 tracked matches.

Lifetime stats

7,892Lifetime kills
0.66K/D
709Matches
41.9%Match win rate
37.2%Headshot %
0.0%Shot accuracy
1,111MVPs
252Hours (in match)
228Bombs planted
72Bombs defused

Most-used weapons

Lifetime map wins

1,577dust2
984nuke
864inferno
178train
109vertigo
107office
10assault

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

Faceit stats

Combat

112Matches
49%Win rate
0.84Avg K/D
71.0ADR
39%Headshot %

Clutches & streaks

45%1v1 clutch win
28%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust23549%0.8212.4
Mirage2959%0.8813.4
Nuke1540%0.9614.5
Inferno1338%0.7111.9
Ancient1060%0.7813.1
Anubis650%0.9413.8
Cache425%0.7613.0

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.

11.8%Headshot accuracy
33.0%Accuracy (enemy spotted)
33.7%Spray accuracy
73.2%Counter-strafing
11.6°Preaim
643msReaction time
15.1%T opening success
29.0%CT opening success
0.31Enemies flashed / flash
0.7%Flash assists
2.43HE damage / grenade
7.96Flashes / 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 11.7871% — 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 0.3122 — 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 15.1136% — 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.

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

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke5–13-0.0218%15 Aug →
train13–5-0.028%13 Aug →
train1–13-0.075%12 Aug →
train12–12-0.0511%12 Aug →
dust213–60.0617%9 Aug →
inferno13–5-0.007%9 Aug →
mirage10–13-0.0922%9 Aug →
dust213–11-0.0510%9 Aug →
inferno13–9-0.016%8 Aug →
mirage7–13-0.0022%8 Aug →
mirage7–130.007%8 Aug →
dust28–13-0.0821%8 Aug →
inferno13–11-0.0417%7 Aug →
nuke13–100.0112%2 Aug →
ancient13–8-0.063%2 Aug →
ancient13–40.069%2 Aug →
cache15–150.0318%2 Aug →
dust24–13-0.050%2 Aug →
nuke5–13-0.087%1 Aug →
dust28–13-0.0417%1 Aug →
dust213–7-0.0214%31 Jul →
dust213–30.1413%31 Jul →
mirage6–13-0.066%31 Jul →
vertigo6–20.0123%31 Jul →
vertigo13–10-0.0512%31 Jul →
cache8–13-0.0624%31 Jul →
dust26–13-0.040%30 Jul →
fachwerk9–13-0.056%28 Jul →
shelter13–8-0.098%28 Jul →
nuke13–70.0110%26 Jul →
ancient13–11-0.054%26 Jul →
mirage5–13-0.100%26 Jul →
nuke13–7-0.0118%26 Jul →
mirage13–50.023%26 Jul →
mirage10–13-0.0624%26 Jul →
anubis13–6-0.049%25 Jul →
anubis10–13-0.046%25 Jul →
mirage16–13-0.0411%23 Jul →
dust213–8-0.022%18 Jul →
dust213–90.0312%18 Jul →
nuke13–9-0.008%18 Jul →
mirage7–13-0.037%18 Jul →
nuke8–13-0.037%17 Jul →
nuke13–80.039%17 Jul →
dust213–50.0025%17 Jul →
inferno13–11-0.0011%16 Jul →
mirage13–40.0217%15 Jul →
dust26–13-0.0725%15 Jul →
dust29–13-0.115%15 Jul →
cache10–13-0.002%15 Jul →
dust29–13-0.0624%15 Jul →
nuke13–10-0.0218%15 Jul →
inferno13–10.1810%15 Jul →
cache9–13-0.0113%15 Jul →
mirage16–140.0012%15 Jul →
cache13–60.037%15 Jul →
cache13–40.037%14 Jul →
mirage13–30.0313%14 Jul →
dust29–13-0.0219%14 Jul →
mirage5–13-0.0916%14 Jul →
nuke5–13-0.0013%14 Jul →
mirage12–20.0818%14 Jul →
nuke5–13-0.048%14 Jul →
ancient13–90.0121%14 Jul →
inferno3–9-0.074%14 Jul →
inferno9–13-0.019%14 Jul →
mirage13–7-0.0615%14 Jul →
dust27–13-0.0418%14 Jul →
mirage1–13-0.0813%14 Jul →
cache13–60.0312%14 Jul →
dust213–90.0126%13 Jul →
inferno13–50.047%13 Jul →
inferno13–80.0513%12 Jul →
mirage8–13-0.0115%12 Jul →
dust213–11-0.0211%12 Jul →
dust215–15-0.0412%12 Jul →
mirage13–90.017%12 Jul →
cache11–13-0.0415%11 Jul →
dust29–13-0.078%11 Jul →
inferno14–16-0.027%11 Jul →
dust24–13-0.0711%11 Jul →
nuke13–160.0114%11 Jul →
dust213–40.0517%10 Jul →
inferno1–13-0.0913%10 Jul →
dust23–13-0.083%10 Jul →
dust210–13-0.0310%10 Jul →
dust24–13-0.0612%9 Jul →
mirage13–8-0.0521%9 Jul →
nuke0–8-0.030%9 Jul →
mirage13–7-0.006%9 Jul →
dust213–5-0.038%9 Jul →
mirage13–100.0317%9 Jul →
nuke15–150.1018%9 Jul →
mirage10–13-0.0112%9 Jul →
office11–13-0.0511%9 Jul →
office13–60.0513%8 Jul →
inferno9–30.1417%4 Jul →
inferno8–80.0815%3 Jul →
cache6–13-0.0419%2 Jul →
cache9–130.0016%2 Jul →

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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