JapicaL

JapicaL — CS2 Stats

76561197998712120[U:1:38446392]Steam profile ↗✓ No bans

1,524Tracked matches46%Win rate2020Tracked since
CSDB Rating6.1 SolidSupport
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (37 days ago). Ranks are recorded once per day this page is viewed.

+17Tracked matches · now 1,524
−7.1ppWin rate · 53.6% → 46.4%

Rating over time

Premier CS Rating: 19,999 -3,004 7 Mar – 29 Jun · 32 days played
19,34923,671peak 23,6717 Mar29 Jun
23,796Peak Premier in tracked matches
50Days played since 2026-03-07

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

Share this profile

CSDB.GGJapicaLFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim82
Positioning52
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY42–56–2Last 10042%Win rateLLLWTWLWWL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +2.7pp headshot accuracy · −18ms reaction

Win rate 0pp 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

  • 1–3–1 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 569ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 547ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 556ms

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 (+1.8 against its own average).

Aim8.2
Utility6.4
Positioning5.2
Opening Duels3.0
Clutch3.6

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

Twistzz

Plays most like Twistzz 95% playstyle similarity

Most alike: opening-duel success, utility contribution.

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. 568ms 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

Aim8.2
Positioning5.2
Utility6.4
Mechanics6.9
Opening Duels2.5
Win Impact3.8

Composite 6.1/10 (Solid), 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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time573ms−62ms
first ⅓ avg 636ms → last ⅓ avg 573ms
Headshot accuracy15.2%−2.7%
first ⅓ avg 17.8% → last ⅓ avg 15.2%

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

0.11Best match rating · 13–4 · inferno, 29 Jun →
38%Best headshot accuracy · 13–7 · ancient, 19 Mar →
391msFastest reaction time · 13–7 · dust2, 14 Jun →
13–1Biggest win · overpass, 21 Mar →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L3Current streak
3–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 63% over 8cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB2411–1346%-0.01
dust2C197–1237%-0.00
ancientC187–1139%0.01
overpassC94–544%0.02
mirageB84–450%0.01
nukeC83–538%-0.02
anubisA85–363%0.01
cacheD51–420%0.00
vertigo—10–10%-0.04

Across the last 100 tracked matches.

Faceit stats

Combat

71Matches
61%Win rate
1.15Avg K/D
79.9ADR
41%Headshot %

Clutches & streaks

38%1v1 clutch win
26%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient1385%1.0513.8
Nuke1155%1.3017.9
Vertigo956%1.3016.9
Dust2888%1.2414.6
Mirage838%0.8712.9
Inferno743%1.0518.1
Cache743%1.3516.3
Anubis757%0.9013.9

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.

16.0%Headshot accuracy
38.9%Accuracy (enemy spotted)
42.8%Spray accuracy
81.2%Counter-strafing
8.6°Preaim
568msReaction time
33.6%T opening success
46.5%CT opening success
0.64Enemies flashed / flash
4.3%Flash assists
10.41HE damage / grenade
11.94Flashes / 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 33.6075% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust210–130.0313%2 Oct →
mirage2–130.0618%1 Oct →
ancient4–130.0324%19 Sept →
mirage13–100.0221%7 Sept →
ancient15–150.0216%30 Aug →
inferno13–90.0118%30 Aug →
cache10–130.0627%29 Aug →
ancient13–80.0114%28 Aug →
mirage16–140.0112%28 Aug →
vertigo7–13-0.0414%26 Aug →
mirage13–90.0913%25 Aug →
inferno6–13-0.017%25 Aug →
nuke2–13-0.0114%12 Aug →
anubis13–60.1015%4 Aug →
inferno13–8-0.0214%4 Aug →
dust21–13-0.1023%20 Jul →
cache12–16-0.0326%20 Jul →
cache8–13-0.0017%17 Jul →
ancient9–130.0311%17 Jul →
inferno13–9-0.0510%17 Jul →
dust213–3-0.0017%15 Jul →
nuke0–7-0.070%15 Jul →
ancient2–13-0.1111%14 Jul →
cache13–100.0113%14 Jul →
nuke5–13-0.0115%14 Jul →
cache4–13-0.0422%13 Jul →
anubis13–5-0.0114%12 Jul →
inferno13–70.0117%12 Jul →
inferno13–40.118%29 Jun →
dust215–150.0521%24 Jun →
inferno10–130.0119%18 Jun →
anubis11–13-0.0016%16 Jun →
inferno13–60.070%16 Jun →
nuke13–9-0.0032%15 Jun →
dust213–7-0.0522%14 Jun →
dust210–130.0221%14 Jun →
mirage13–10-0.0126%10 Jun →
dust23–13-0.0318%10 Jun →
mirage3–13-0.0522%10 Jun →
ancient9–13-0.0214%8 Jun →
inferno6–13-0.0326%8 Jun →
inferno13–11-0.0115%7 Jun →
ancient13–3-0.0019%4 Jun →
inferno11–13-0.0414%4 Jun →
mirage9–130.0129%20 May →
ancient13–20.0312%20 May →
dust29–13-0.0019%9 May →
dust210–13-0.0214%21 Apr →
anubis3–130.0121%21 Apr →
overpass13–50.0424%21 Apr →
anubis13–7-0.0014%20 Apr →
overpass11–130.0318%19 Apr →
inferno13–30.076%18 Apr →
ancient10–130.0515%14 Apr →
ancient11–130.0417%11 Apr →
dust27–13-0.0615%11 Apr →
ancient13–50.0430%11 Apr →
dust26–130.0425%10 Apr →
mirage11–13-0.0315%10 Apr →
inferno6–13-0.0113%9 Apr →
nuke13–80.0122%9 Apr →
ancient4–13-0.0910%8 Apr →
dust213–80.1121%8 Apr →
overpass13–90.0213%8 Apr →
inferno13–90.0230%1 Apr →
inferno5–13-0.116%25 Mar →
nuke3–13-0.0710%25 Mar →
nuke4–13-0.0521%25 Mar →
dust213–40.0016%25 Mar →
inferno8–13-0.090%25 Mar →
dust214–16-0.0021%24 Mar →
overpass3–13-0.133%24 Mar →
inferno9–13-0.0018%24 Mar →
dust216–130.0129%24 Mar →
ancient5–13-0.0118%24 Mar →
inferno13–3-0.0220%23 Mar →
anubis13–100.0418%23 Mar →
inferno11–13-0.0222%22 Mar →
nuke13–40.0818%21 Mar →
ancient14–160.0219%21 Mar →
overpass13–10.1019%21 Mar →
inferno13–16-0.045%21 Mar →
overpass10–130.0317%21 Mar →
ancient3–13-0.0121%21 Mar →
anubis5–130.0210%21 Mar →
dust29–13-0.0214%20 Mar →
inferno1–8-0.0414%20 Mar →
overpass4–130.0023%19 Mar →
ancient13–8-0.0321%19 Mar →
ancient13–70.1038%19 Mar →
anubis13–9-0.0514%18 Mar →
inferno8–13-0.0122%9 Mar →
dust213–110.0215%9 Mar →
overpass5–130.0326%8 Mar →
inferno3–13-0.0912%8 Mar →
inferno13–10-0.0318%8 Mar →
overpass13–40.0911%8 Mar →
ancient13–100.0129%7 Mar →
dust23–13-0.0318%7 Mar →
dust213–60.0421%7 Mar →

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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