Kabocha

Kabocha — CS2 Stats

US76561197994453883[U:1:34188155]Steam profile ↗✓ No bans

2,532Tracked matches36%Win rate2023Tracked since
CSDB Rating4.0 DevelopingSupport
Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

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CSDB.GGKabochaFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER15,000 · Purple bandcsdb.gg/stats

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Performance scores

Aim21
Positioning47
Utility77

0–100 skill scores via Leetify.

Recent form

COLD31–63–6Last 10031%Win rateLLLTLLLLLL

Last 10 vs previous 10: −40pp win rate · +0.02 avg rating · −0.5pp headshot accuracy · +37ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–4–1 · 0% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 648ms

Last 10

  • 0–9–1 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 654ms

Last 20

  • 4–15–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 636ms

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: Support — Utility contribution stands above the rest of this profile (+3.6 against its own average).

Aim2.1
Utility7.7
Positioning4.7
Opening Duels0.7
Clutch3.2

Effective flashesHigh utility contribution

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.

Strengths & areas to improve

Strengths

Utility. Utility score of 77 — grenade impact well above the norm.

Areas to improve

Reaction time. 635ms 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

Aim2.1
Positioning4.7
Utility7.7
Mechanics6.4
Opening Duels2.5
Win Impact0.2

Composite 4.0/10 (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-0.04+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time633ms+26ms
first ⅓ avg 606ms → last ⅓ avg 633ms
Headshot accuracy10.5%+1.4%
first ⅓ avg 9.2% → last ⅓ avg 10.5%

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 · 13–6 · dust2, 30 Aug →
24%Best headshot accuracy · 6–13 · inferno, 14 Sept →
359msFastest reaction time · 1–13 · dust2, 30 Oct →
13–1Biggest win · cache, 21 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
5–6In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 50% over 18mirageWeakest map · 9% over 11
MapGradePlayedRecordWin rateAvg rating
dust2D258–1732%-0.04
ancientD206–1430%-0.04
cacheB189–950%-0.05
infernoC176–1135%-0.05
mirageD111–109%-0.04
anubisD51–420%-0.06
nuke—20–20%-0.06
vertigo—10–10%-0.01
train—10–10%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (9% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

55Matches
44%Win rate
0.68Avg K/D
64.8ADR
34%Headshot %

Clutches & streaks

36%1v1 clutch win
15%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1242%0.7110.6
Nuke933%0.6310.1
Ancient757%0.8312.4
Inferno667%0.629.7
Anubis650%0.7610.5
Dust2633%0.6611.7
Vertigo425%0.5610.0
Train333%0.6012.3

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.

10.6%Headshot accuracy
25.7%Accuracy (enemy spotted)
26.2%Spray accuracy
79.0%Counter-strafing
14.1°Preaim
635msReaction time
43.7%T opening success
36.2%CT opening success
0.71Enemies flashed / flash
6.6%Flash assists
9.29HE damage / grenade
22.06Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.1444° — above the 12° mark we flag

    Aim Training →
  2. 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 10.6085% — below the 15% mark we flag

    Aim Training →
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.

9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust21–13-0.0823%4 Nov →
nuke8–13-0.0710%4 Nov →
inferno9–13-0.026%4 Nov →
ancient12–12-0.016%4 Nov →
dust25–13-0.076%3 Nov →
dust28–13-0.038%2 Nov →
ancient8–13-0.0316%1 Nov →
anubis8–13-0.039%1 Nov →
dust26–13-0.0410%1 Nov →
mirage7–130.0416%1 Nov →
inferno13–50.0522%1 Nov →
ancient13–6-0.038%31 Oct →
dust27–13-0.147%31 Oct →
cache11–13-0.1021%30 Oct →
cache4–13-0.043%30 Oct →
ancient13–110.068%30 Oct →
dust21–13-0.0912%30 Oct →
ancient6–13-0.097%29 Oct →
anubis6–13-0.0711%28 Oct →
dust213–10-0.0415%27 Oct →
mirage8–13-0.0811%26 Oct →
ancient6–2-0.049%26 Oct →
dust213–9-0.052%25 Oct →
dust213–50.0611%25 Oct →
cache13–30.0414%25 Oct →
mirage4–13-0.092%25 Oct →
inferno10–13-0.0816%25 Oct →
inferno13–9-0.026%24 Oct →
ancient12–12-0.0618%23 Oct →
anubis13–9-0.116%23 Oct →
inferno13–3-0.017%23 Oct →
ancient12–12-0.0311%21 Oct →
ancient4–130.0110%21 Oct →
mirage8–130.006%21 Oct →
cache10–13-0.0914%21 Oct →
inferno4–13-0.0510%21 Oct →
dust25–13-0.0510%21 Oct →
ancient4–13-0.137%21 Oct →
nuke9–13-0.0413%20 Oct →
cache13–10-0.065%14 Oct →
dust25–13-0.0218%11 Oct →
cache1–13-0.144%11 Oct →
anubis6–13-0.0610%8 Oct →
mirage12–12-0.077%7 Oct →
inferno11–13-0.0710%7 Oct →
dust26–13-0.0520%6 Oct →
mirage11–13-0.0813%6 Oct →
mirage1–13-0.0320%27 Sept →
ancient14–16-0.0513%16 Sept →
dust213–60.0413%16 Sept →
inferno6–13-0.0424%14 Sept →
vertigo7–13-0.0110%13 Sept →
train9–13-0.0312%13 Sept →
dust25–13-0.0919%12 Sept →
mirage11–13-0.074%11 Sept →
inferno9–13-0.0713%11 Sept →
cache13–6-0.073%10 Sept →
inferno13–6-0.0715%10 Sept →
dust213–11-0.076%10 Sept →
ancient13–11-0.0313%10 Sept →
inferno4–13-0.0913%10 Sept →
mirage16–120.0211%7 Sept →
dust23–13-0.075%5 Sept →
ancient7–13-0.038%5 Sept →
dust213–8-0.0318%2 Sept →
dust27–13-0.046%31 Aug →
ancient11–13-0.0111%30 Aug →
dust28–13-0.077%30 Aug →
ancient8–13-0.057%30 Aug →
inferno8–13-0.1113%30 Aug →
dust213–60.106%30 Aug →
anubis9–13-0.064%30 Aug →
cache13–7-0.0310%30 Aug →
ancient13–11-0.0212%29 Aug →
cache3–13-0.0919%28 Aug →
ancient8–13-0.0314%28 Aug →
mirage4–130.013%28 Aug →
cache7–13-0.0519%26 Aug →
dust213–10-0.039%25 Aug →
dust212–12-0.0712%25 Aug →
ancient13–9-0.068%25 Aug →
cache13–6-0.090%25 Aug →
inferno2–0-0.090%25 Aug →
inferno13–4-0.0511%25 Aug →
mirage9–13-0.0810%25 Aug →
inferno7–13-0.092%25 Aug →
ancient10–13-0.0914%25 Aug →
inferno12–120.0711%24 Aug →
dust22–13-0.0913%23 Aug →
ancient10–13-0.0413%23 Aug →
dust26–13-0.0017%23 Aug →
dust23–13-0.0216%23 Aug →
cache1–13-0.0310%22 Aug →
cache13–4-0.0310%22 Aug →
inferno7–13-0.070%22 Aug →
cache3–13-0.007%22 Aug →
cache13–3-0.115%22 Aug →
cache13–30.0910%21 Aug →
cache13–1-0.026%21 Aug →
cache8–13-0.068%21 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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