Supanika

Supanika — CS2 Stats

KP76561198386488655[U:1:426222927]Steam profile ↗✓ No bans

812Tracked matches59%Win rate2020Tracked since
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating20,000Top 50% of 175,286 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#72678 of 220653 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Sep 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 812 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 35 days played since 24 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 20,000 +836 24 Jun9 Sept · 29 days played
16,61221,480peak 21,48024 Jun9 Sept
21,750Peak Premier in tracked matches
35Days played since 2026-06-24

Premier CS Rating

  • 1,480 below peak (21,480)
  • +120 over 30 days · steady
  • +836 over 90 days
  • Next: Red band at 25,000 5,000 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-02
  • Purple band first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGSupanikaPREMIER20,000 · Pink bandcsdb.gg/stats

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Performance scores

Aim47
Positioning57
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY49456Last 10049%Win rateLWWWLLLWLL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · +0.7pp headshot accuracy · +129ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 659ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 642ms

Last 20

  • 1010 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 577ms

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: Positional PlayerPositioning stands above the rest of this profile (+1.4 against its own average).

Aim4.7
Utility5.5
Positioning5.7
Opening Duels2.7
Clutch3.2

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.

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

NiKo

Plays most like NiKo 70% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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 56% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 610ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.7
Positioning5.7
Utility5.5
Mechanics3.1
Opening Duels3.3
Win Impact8.1

Composite 5.1/10 (Developing), 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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time596ms−25ms
first ⅓ avg 621ms → last ⅓ avg 596ms
Headshot accuracy21.7%−0.9%
first ⅓ avg 22.5% → last ⅓ avg 21.7%

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

0.15Best match rating · 13–6 · dust2, 29 Jul
42%Best headshot accuracy · 13–5 · dust2, 27 Jun
414msFastest reaction time · 1–13 · nuke, 28 Jul
13–2Biggest win · dust2, 22 Jul

Across the last 100 tracked matches.

Highlights

6Longest win streak
83In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 80% over 5infernoWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageC36152142%-0.02
dust2A31171455%-0.00
ancientB115645%-0.00
nukeB84450%0.00
cacheS54180%-0.01
infernoC52340%0.00
anubis42250%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

168Matches
60%Win rate
1.32Avg K/D
79.9ADR
45%Headshot %

Clutches & streaks

36%1v1 clutch win
16%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3148%1.2817.0
Inferno1856%1.4616.7
Anubis1080%1.0614.2
Dust21050%1.2516.6
Ancient956%1.4813.0
Vertigo450%1.5023.3

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.

22.4%Headshot accuracy
30.6%Accuracy (enemy spotted)
29.0%Spray accuracy
64.0%Counter-strafing
10.4°Preaim
610msReaction time
22.0%T opening success
56.3%CT opening success
0.60Enemies flashed / flash
6.6%Flash assists
10.24HE damage / grenade
11.33Flashes / 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 21.9835% — 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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0131%13 Aug
dust216–14-0.0221%13 Aug
dust213–90.0425%13 Aug
dust213–80.0830%7 Aug
mirage10–13-0.0322%7 Aug
nuke7–130.0313%6 Aug
mirage6–13-0.0414%6 Aug
nuke13–8-0.0224%6 Aug
ancient7–13-0.0015%5 Aug
mirage3–13-0.0913%3 Aug
mirage6–13-0.0133%3 Aug
mirage0–2-0.120%3 Aug
dust213–50.0523%2 Aug
cache13–110.0325%2 Aug
nuke13–8-0.0116%2 Aug
mirage13–70.0621%29 Jul
nuke13–50.030%29 Jul
dust213–60.1540%29 Jul
nuke1–13-0.0414%28 Jul
dust27–130.0527%28 Jul
dust213–90.0426%28 Jul
mirage7–13-0.0331%27 Jul
inferno12–12-0.007%27 Jul
mirage13–3-0.0619%27 Jul
dust212–120.0019%26 Jul
mirage13–10-0.0135%26 Jul
dust212–12-0.0323%26 Jul
inferno13–110.1134%25 Jul
ancient13–7-0.0219%25 Jul
mirage13–4-0.0124%25 Jul
inferno7–13-0.0427%25 Jul
mirage3–130.0233%23 Jul
mirage5–13-0.0710%23 Jul
nuke13–70.0115%23 Jul
cache13–9-0.0218%22 Jul
dust213–20.0818%22 Jul
dust213–7-0.0720%22 Jul
dust210–130.0116%22 Jul
dust29–3-0.0333%21 Jul
mirage15–150.0224%19 Jul
ancient7–130.0224%17 Jul
mirage13–90.0320%16 Jul
dust22–13-0.1036%14 Jul
mirage5–13-0.0325%13 Jul
anubis8–13-0.0415%13 Jul
mirage13–90.0319%13 Jul
mirage13–90.0123%13 Jul
cache13–7-0.0236%12 Jul
ancient2–13-0.0714%12 Jul
mirage5–13-0.0713%12 Jul
nuke8–130.0421%12 Jul
mirage13–6-0.0131%11 Jul
ancient13–110.0329%11 Jul
ancient16–130.0522%11 Jul
ancient13–110.0518%11 Jul
cache7–13-0.0323%10 Jul
cache13–11-0.0324%10 Jul
mirage13–9-0.0124%9 Jul
mirage11–13-0.0119%9 Jul
ancient13–6-0.0116%9 Jul
dust213–6-0.0114%9 Jul
mirage7–13-0.0516%8 Jul
mirage8–13-0.0926%8 Jul
mirage7–13-0.0226%8 Jul
dust213–90.0021%7 Jul
mirage13–6-0.0211%6 Jul
dust22–13-0.0625%6 Jul
dust29–13-0.0627%6 Jul
dust212–16-0.0115%4 Jul
mirage13–90.0524%3 Jul
dust21–13-0.0915%3 Jul
dust213–8-0.0523%3 Jul
mirage13–9-0.0413%3 Jul
dust215–15-0.0412%1 Jul
dust24–13-0.0216%30 Jun
mirage2–13-0.0319%30 Jun
inferno9–130.008%30 Jun
mirage13–11-0.0124%30 Jun
dust21–7-0.0436%29 Jun
anubis13–7-0.0222%29 Jun
ancient5–13-0.0317%29 Jun
dust213–9-0.0021%29 Jun
dust210–130.0417%28 Jun
mirage13–160.0313%28 Jun
anubis15–150.0513%28 Jun
dust213–50.1342%27 Jun
mirage13–30.0516%27 Jun
dust21–13-0.0425%27 Jun
dust216–14-0.0018%27 Jun
mirage0–13-0.0823%27 Jun
inferno13–10-0.0518%25 Jun
mirage2–13-0.0825%25 Jun
nuke6–13-0.0213%25 Jun
mirage13–50.0128%25 Jun
ancient4–13-0.0339%25 Jun
anubis13–70.0727%25 Jun
dust213–50.0140%25 Jun
ancient8–13-0.0429%25 Jun
mirage8–130.0533%24 Jun
dust213–50.0133%24 Jun

Match data via Leetify.

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →