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Hapai S. Iura — CS2 Stats

76561198184518571[U:1:224252843]✓ No bans

1,728Tracked matches53%Win rate2020Tracked since
CSDB Rating5.2 DevelopingHybrid Rifler
FaceitLevel 8 · 1,533 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGHapai S. IuraFACEITLevel 8 · 1,533 ELOSTANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim64
Positioning48
Utility55

0–100 skill scores via Leetify.

Recent form

HOT44–56Last 10044%Win rateWLWWWLWWLW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.4
Aggression5.7
Utility5.5
Positioning4.8
Opening Duels1.3
Clutch3.8

Limited utility dependence

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 87% playstyle similarity

Most alike: opening-duel success, utility contribution.

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. 620ms 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

Aim6.4
Positioning4.8
Utility5.5
Mechanics6.8
Opening Duels1.4
Win Impact6.1

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time615ms+19ms
first ⅓ avg 596ms → last ⅓ avg 615ms
Headshot accuracy14.0%−0.5%
first ⅓ avg 14.5% → last ⅓ avg 14.0%

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

0.12Best rating — mirage 13–8
13–4Biggest win — inferno
5Longest win streak
11–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 61% over 38dust2Weakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA3823–1561%-0.01
infernoC2711–1641%-0.02
ancientC145–936%-0.00
anubisB84–450%-0.01
dust2D50–50%-0.04
cache—41–325%-0.00
overpass—30–30%-0.05
train—10–10%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

859Matches
51%Win rate
0.91Avg K/D
74.7ADR
40%Headshot %

Clutches & streaks

39%1v1 clutch win
17%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage25162%0.9714.4
Inferno12453%0.9413.9
Ancient11842%0.9013.2
Anubis5852%0.9114.2
Vertigo5040%0.8412.5
Dust23727%0.7713.2
Overpass2236%0.9615.3
Train2241%0.9314.6

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.

13.9%Headshot accuracy
34.4%Accuracy (enemy spotted)
37.3%Spray accuracy
80.4%Counter-strafing
9.1°Preaim
620msReaction time
28.7%T opening success
41.5%CT opening success
0.67Enemies flashed / flash
5.7%Flash assists
10.23HE damage / grenade
2.88Flashes / 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. 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 13.8512% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.8764 — below the 4 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 28.7276% — below the 40% mark we flag

Spend your practice time on Dust 2

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 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage12–60.0315%19 Jul →
cache6–13-0.0127%19 Jul →
anubis13–11-0.0314%18 Jul →
mirage13–11-0.037%14 Jul →
cache13–50.0319%14 Jul →
ancient7–130.049%14 Jul →
mirage13–90.0115%11 Jul →
inferno13–90.0314%11 Jul →
inferno7–13-0.0413%29 Apr →
mirage13–110.054%29 Apr →
dust24–13-0.097%28 Apr →
cache8–130.0319%24 Apr →
cache9–13-0.0516%24 Apr →
mirage13–10-0.0317%23 Apr →
inferno6–13-0.0114%23 Apr →
mirage13–50.0821%22 Apr →
inferno6–13-0.0120%22 Apr →
inferno13–4-0.0118%22 Apr →
inferno12–16-0.026%14 Apr →
dust211–13-0.0023%9 Apr →
inferno8–13-0.0414%9 Apr →
mirage13–10-0.0614%2 Apr →
ancient16–120.039%2 Apr →
inferno13–11-0.0414%2 Apr →
anubis13–11-0.0315%12 Mar →
mirage13–11-0.037%12 Mar →
inferno5–13-0.0112%10 Mar →
mirage13–90.0016%9 Mar →
mirage8–13-0.0514%9 Mar →
mirage10–13-0.0310%6 Mar →
inferno13–7-0.0511%6 Mar →
mirage13–11-0.0117%4 Mar →
ancient10–13-0.049%4 Mar →
mirage13–80.1220%2 Mar →
inferno11–13-0.028%1 Mar →
inferno7–13-0.079%28 Feb →
mirage13–11-0.0218%28 Feb →
ancient5–13-0.0517%28 Feb →
ancient13–4-0.047%27 Feb →
mirage13–90.0514%27 Feb →
inferno13–110.0311%27 Feb →
anubis13–100.0811%25 Feb →
inferno9–13-0.0520%24 Feb →
dust212–16-0.0210%24 Feb →
anubis5–130.0013%24 Feb →
mirage13–9-0.0212%24 Feb →
mirage7–13-0.0517%24 Feb →
mirage7–13-0.0717%23 Feb →
ancient13–70.0112%23 Feb →
overpass2–13-0.0613%23 Feb →
anubis6–13-0.088%23 Feb →
mirage14–16-0.0318%22 Feb →
ancient11–130.0116%22 Feb →
mirage13–6-0.0417%22 Feb →
mirage10–13-0.088%22 Feb →
inferno7–130.059%22 Feb →
mirage13–100.0028%22 Feb →
anubis8–13-0.009%22 Feb →
ancient7–13-0.0014%22 Feb →
inferno13–7-0.0515%21 Feb →
mirage13–90.0217%21 Feb →
ancient5–13-0.0316%21 Feb →
mirage11–13-0.0415%21 Feb →
mirage13–11-0.0213%21 Feb →
ancient10–13-0.0510%21 Feb →
mirage9–13-0.0516%21 Feb →
inferno9–13-0.049%21 Feb →
inferno13–7-0.0118%21 Feb →
mirage19–17-0.0110%20 Feb →
inferno10–130.0116%20 Feb →
anubis13–90.0513%20 Feb →
ancient13–70.0111%20 Feb →
mirage8–13-0.0220%18 Feb →
mirage13–70.0720%18 Feb →
inferno13–7-0.0113%18 Feb →
inferno7–13-0.0820%18 Feb →
overpass8–13-0.0212%17 Feb →
mirage5–13-0.0238%16 Feb →
anubis11–13-0.057%16 Feb →
inferno10–13-0.0214%16 Feb →
mirage13–90.0322%16 Feb →
mirage14–160.0019%5 Feb →
overpass5–13-0.0621%5 Feb →
mirage12–16-0.0513%5 Feb →
mirage13–90.0421%4 Feb →
dust29–13-0.0320%4 Feb →
ancient6–130.0014%4 Feb →
mirage10–13-0.038%3 Feb →
inferno9–13-0.0318%3 Feb →
mirage8–13-0.0210%2 Feb →
ancient12–130.0213%2 Feb →
inferno13–100.0114%27 Jan →
mirage8–13-0.0514%12 Jan →
inferno13–7-0.025%12 Jan →
mirage13–100.0210%10 Jan →
inferno10–13-0.083%6 Jan →
dust28–13-0.0518%6 Jan →
ancient13–90.059%6 Jan →
train9–13-0.058%5 Jan →
inferno13–7-0.019%5 Jan →

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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