japa

japa — CS2 Stats

US76561198299991618[U:1:339725890]Steam profile ↗✓ No bans

2,399Tracked matches45%Win rate2020Tracked since
6,443Hours in CS2Hrs last 2 wks
CSDB Rating5.3 DevelopingPassive Rifler
FaceitLevel 9 · 2,296 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,109), 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 9 medianLevel 10 medianvs Level 10
Headshot rate43.8%49.0%52.0%8.2% short
Shot accuracy13.8%13.1%13.7%meets
Kill/death ratio1.051.081.080.03 short
Match win rate51.7%46.9%48.8%above

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGjapaFACEITLevel 9 · 2,296 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim71
Positioning44
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY51481Last 10051%Win rateLWLLLLTWWW

Last 10 vs previous 10: -10pp win rate · +0.01 avg rating

Player DNA

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

Aim7.1
Aggression4.4
Utility6.0
Positioning4.4
Opening Duels1.0
Clutch3.8

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.

Your pro match

NiKo

Plays most like NiKo 89% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 47% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 611ms 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

Aim7.1
Positioning4.4
Utility6.0
Mechanics5.7
Opening Duels2.1
Win Impact3.3

Composite 5.3/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time620ms+7ms
first ⅓ avg 613ms → last ⅓ avg 620ms
Headshot accuracy23.4%+5.1%
first ⅓ avg 18.3% → last ⅓ avg 23.4%

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

0.14Best rating — dust2 11–2
134Biggest win — inferno
10Longest win streak
1011In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 73% over 30anubisWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
mirageS3022873%0.01
dust2B26131350%0.01
ancientC156940%0.01
anubisD1321115%0.00
infernoA116555%-0.01
cache21150%-0.02
nuke21150%0.01
overpass1010%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

131,295Lifetime kills
1.05K/D
5,329Matches
51.7%Match win rate · Top 25% of Level 9 players
43.8%Headshot %
13.8%Shot accuracy · Top 50% of Level 9 players
16,799MVPs
3,038Hours (in match)
7,703Bombs planted
1,719Bombs defused

Most-used weapons

AK-4742,646
AWP15,644
P905,060
AUG3,384
SG 5533,132
MP92,723

Lifetime map wins

20,711dust2
10,617inferno
2,289train
1,948nuke
1,156vertigo
305cbble
48safehouse
10lake

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

Faceit stats

Combat

1,967Matches
51%Win rate
1.12Avg K/D
81.9ADR
48%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage46648%1.1116.7
Ancient27656%1.1217.2
Dust227248%1.0616.3
Anubis26157%1.0916.9
Inferno25150%1.1417.1
Nuke7747%1.0717.4
Vertigo3444%1.3319.6
Train1625%0.9415.8

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.

24.3%Headshot accuracy
36.5%Accuracy (enemy spotted)
35.0%Spray accuracy
75.9%Counter-strafing
10.9°Preaim
611msReaction time
20.9%T opening success
47.0%CT opening success
0.62Enemies flashed / flash
7.1%Flash assists
8.75HE damage / grenade
8.88Flashes / 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 20.9433% — below the 40% mark we flag

Spend your practice time on Anubis

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

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient12–160.0225%23 Aug
dust213–8-0.0218%17 Jul
ancient11–130.0434%16 Jul
anubis11–13-0.0129%3 Jul
anubis7–13-0.0420%3 Jul
inferno11–130.0125%2 Jul
dust212–120.0635%2 Jul
dust213–11-0.0533%12 Jun
inferno13–40.0225%12 Jun
mirage16–130.0327%10 Jun
mirage13–8-0.0317%7 Jun
mirage7–13-0.0320%7 Jun
ancient13–10-0.0015%5 Jun
anubis3–13-0.0216%1 Jun
ancient7–130.0228%26 May
mirage13–10-0.0033%25 May
inferno13–100.0020%20 May
mirage5–13-0.0328%19 May
mirage13–70.0214%19 May
dust210–13-0.0244%19 May
dust216–140.0428%18 May
inferno2–13-0.039%18 May
ancient8–130.0424%14 May
dust29–13-0.0116%13 May
mirage2–13-0.0128%13 May
anubis9–13-0.0021%13 May
mirage13–90.0423%13 May
cache13–10-0.0119%12 May
mirage13–80.0520%9 May
anubis11–13-0.0123%9 May
mirage13–10-0.048%8 May
dust213–100.0524%8 May
inferno13–110.0125%8 May
mirage13–9-0.0612%6 May
dust25–130.0227%6 May
inferno11–13-0.0711%6 May
dust213–8-0.0116%5 May
mirage9–130.0110%5 May
mirage11–13-0.0219%3 May
ancient11–130.0023%3 May
cache5–13-0.0221%30 Apr
inferno10–13-0.0319%30 Apr
inferno13–8-0.0424%30 Apr
nuke7–13-0.0125%29 Apr
mirage16–120.0125%29 Apr
ancient11–13-0.0418%29 Apr
dust213–50.0311%28 Apr
mirage10–130.0530%28 Apr
anubis5–130.0117%22 Apr
dust215–19-0.0019%20 Apr
mirage13–90.0223%20 Apr
mirage13–90.0113%19 Apr
ancient12–16-0.0533%19 Apr
mirage13–4-0.0232%19 Apr
ancient13–50.0731%19 Apr
dust213–6-0.0226%12 Apr
ancient13–100.0117%10 Apr
inferno13–110.0017%8 Apr
mirage13–100.0124%5 Apr
ancient16–140.0113%5 Apr
anubis13–100.0220%5 Apr
dust213–110.0118%5 Apr
mirage13–110.0521%2 Apr
dust29–130.0418%31 Mar
mirage13–40.0222%26 Mar
mirage13–8-0.0114%26 Mar
overpass7–13-0.0528%20 Mar
dust26–130.0125%19 Mar
dust211–13-0.0119%19 Mar
mirage13–80.0526%19 Mar
dust22–13-0.0324%19 Mar
mirage13–6-0.0111%18 Mar
dust213–100.1124%17 Mar
dust25–13-0.0523%17 Mar
anubis6–130.0315%17 Mar
dust211–20.1422%16 Mar
ancient8–13-0.0414%15 Mar
anubis8–13-0.0216%13 Mar
anubis11–13-0.0022%13 Mar
anubis9–130.0014%12 Mar
mirage13–70.0014%12 Mar
mirage13–8-0.0029%11 Mar
dust24–13-0.0615%11 Mar
ancient13–110.0212%10 Mar
dust213–50.0716%10 Mar
ancient16–120.008%10 Mar
mirage5–13-0.0313%9 Mar
dust213–80.0323%9 Mar
anubis11–13-0.0219%6 Mar
dust25–13-0.0239%6 Mar
nuke13–70.0321%6 Mar
anubis13–100.0622%4 Mar
ancient1–13-0.0212%3 Mar
mirage13–9-0.0220%3 Mar
dust219–17-0.0118%3 Mar
inferno12–160.0721%3 Mar
mirage5–130.0720%2 Mar
dust29–13-0.058%2 Mar
inferno16–13-0.019%27 Feb
mirage16–140.0313%27 Feb

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →