Jikan🕙 — CS2 Stats

76561198258397582[U:1:298131854]

525Tracked matches41%Win rate2025Tracked since
2,444Hours in CS5Hrs last 2 wks
CSDB Rating5.9 SolidHybrid Rifler
Premier CS Rating22,832Top 50% of 29,473 CSDB-tracked playersPink band · top ~5.4% of ranked players (population est.)
CSDB Leaderboard#10867 of 47334 tracked
WingmanGold Nova II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=6,418), 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 playerPink band medianRed band medianvs Red band
Headshot rate39.1%47.1%50.0%11.0% short
Shot accuracy6.8%12.8%13.5%6.7% short
Kill/death ratio0.961.081.130.17 short
Match win rate40.6%46.6%48.4%7.9% short

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

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

Share this profile

CSDB.GGJikan🕙PREMIER22,832 · 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

Aim72
Positioning58
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY454510Last 10045%Win rateLLWTWWWTWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.2
Aggression6.3
Utility6.7
Positioning5.8
Opening Duels2.2
Clutch2.8

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Twistzz

Plays most like Twistzz 93% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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. 594ms 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

Aim7.2
Positioning5.8
Utility6.7
Mechanics7.0
Opening Duels2.2
Win Impact1.9

Composite 5.9/10 (Solid), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time594ms−5ms
first ⅓ avg 598ms → last ⅓ avg 594ms
Headshot accuracy18.4%+2.0%
first ⅓ avg 16.4% → last ⅓ avg 18.4%

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.

Highlights

0.18Best rating — cache 13–3
131Biggest win — dust2
8Longest win streak
L2Current streak
89In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 60% over 5infernoWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A26151158%0.03
mirageB21101148%-0.00
cacheC104640%0.02
anubisA95456%0.03
ancientD93633%-0.01
infernoD7070%-0.02
vertigoD72529%-0.00
nukeA53260%0.00
train43175%0.04
overpass1010%-0.08
poseidon1010%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

53,531Lifetime kills
0.96K/D
2,941Matches
40.6%Match win rate
39.1%Headshot %
6.8%Shot accuracy
6,190MVPs
1,063Hours (in match)
2,686Bombs planted
529Bombs defused

Most-used weapons

AK-4715,131
AWP5,943
MP71,435
MAC-101,168
FAMAS1,107

Lifetime map wins

7,245dust2
1,981inferno
849nuke
630train
374vertigo
80office
46safehouse
37cbble

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

Faceit stats

Combat

61Matches
56%Win rate
1.25Avg K/D
87.6ADR
37%Headshot %

Clutches & streaks

34%1v1 clutch win
28%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust22475%1.3618.5
Mirage1540%1.2816.1
Anubis633%1.3019.8
Cache633%1.2320.0
Nuke367%0.8712.7
Inferno3100%1.0215.3
Ancient333%1.1116.0
Vertigo10%0.569.0

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.

17.5%Headshot accuracy
33.8%Accuracy (enemy spotted)
38.4%Spray accuracy
81.7%Counter-strafing
9.0°Preaim
594msReaction time
33.0%T opening success
44.6%CT opening success
0.60Enemies flashed / flash
7.7%Flash assists
10.33HE damage / grenade
17.09Flashes / 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 32.9965% — below the 40% mark we flag

Spend your practice time on Inferno

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.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust211–130.0224%12 Aug
cache9–130.0415%12 Aug
anubis13–90.0419%12 Aug
dust212–120.0819%11 Aug
dust213–10.0513%1 Aug
mirage13–11-0.038%30 Jul
train13–90.1112%30 Jul
cache15–150.0615%27 Jul
anubis13–70.0611%27 Jul
mirage2–130.039%27 Jul
mirage9–130.0018%24 Jul
dust213–10-0.0230%24 Jul
dust211–130.0213%22 Jul
inferno10–130.0118%22 Jul
dust212–120.1212%22 Jul
mirage13–60.119%22 Jul
vertigo0–5-0.0027%21 Jul
anubis3–13-0.0514%20 Jul
nuke13–50.0220%20 Jul
mirage11–130.0410%20 Jul
mirage3–13-0.0918%19 Jul
ancient1–13-0.01100%19 Jul
ancient13–9-0.0720%19 Jul
mirage14–16-0.019%17 Jul
nuke7–13-0.0310%16 Jul
anubis13–90.028%16 Jul
inferno7–13-0.0521%15 Jul
dust213–80.0525%15 Jul
mirage8–13-0.0315%15 Jul
cache9–130.0016%15 Jul
dust213–70.0312%15 Jul
dust211–13-0.0417%15 Jul
cache10–13-0.0318%14 Jul
ancient6–130.0710%14 Jul
anubis8–130.0125%12 Jul
ancient13–80.0220%12 Jul
mirage13–8-0.0211%12 Jul
mirage13–70.0116%6 Jul
cache11–130.0111%3 Jul
mirage13–6-0.059%3 Jul
mirage7–0-0.0212%2 Jul
anubis13–40.1721%2 Jul
cache13–11-0.0316%1 Jul
cache13–6-0.0210%30 Jun
nuke13–3-0.0318%30 Jun
train13–10-0.0721%30 Jun
dust213–70.1415%30 Jun
cache1–13-0.0714%29 Jun
nuke11–13-0.0017%27 Jun
dust211–13-0.0011%26 Jun
mirage13–110.0016%25 Jun
inferno9–13-0.0615%19 Jun
ancient15–15-0.067%19 Jun
train10–130.026%17 Jun
train13–80.1016%17 Jun
dust213–110.0315%12 Jun
mirage12–12-0.0118%12 Jun
dust29–3-0.0123%12 Jun
dust216–140.0011%12 Jun
mirage13–6-0.0725%10 Jun
mirage13–11-0.0311%10 Jun
mirage9–13-0.029%10 Jun
ancient5–13-0.089%5 Jun
dust213–9-0.0023%5 Jun
dust25–13-0.0220%5 Jun
dust213–10-0.0128%5 Jun
vertigo7–13-0.0112%4 Jun
vertigo13–80.0117%4 Jun
dust213–40.1722%4 Jun
vertigo9–130.0310%3 Jun
vertigo13–11-0.036%3 Jun
vertigo2–13-0.0717%3 Jun
mirage7–13-0.0123%3 Jun
mirage11–130.0510%3 Jun
dust28–130.0712%3 Jun
vertigo3–130.0617%3 Jun
dust213–100.0535%3 Jun
ancient13–11-0.0314%3 Jun
overpass5–13-0.080%1 Jun
ancient12–120.0217%31 May
inferno12–120.0218%31 May
nuke13–90.0719%31 May
poseidon6–9-0.0518%30 May
anubis5–13-0.0413%29 May
anubis13–90.0121%29 May
inferno6–13-0.0613%29 May
dust213–60.0411%28 May
dust23–130.0420%28 May
inferno5–9-0.0321%28 May
cache13–30.1824%28 May
mirage12–120.087%28 May
dust212–120.1015%27 May
dust213–100.0110%26 May
ancient5–130.0713%22 May
dust213–10-0.0515%22 May
dust212–120.0116%22 May
cache13–40.0133%18 May
mirage13–90.0416%16 May
anubis2–130.0822%13 May
inferno4–13-0.0018%11 May

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 →