Supertiikeri4

Supertiikeri4 — CS2 Stats

76561199586691297[U:1:1626425569]Steam profile ↗✓ No bans

499Tracked matches61%Win rate2025Tracked since
CSDB Rating6.0 SolidPositional Player
Premier CS Rating10,665Blue band · top ~51.4% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 10,665 +5,112 30 Jun – 25 Oct · 16 days played
5,55311,203peak 11,20330 Jun25 Oct
11,203Peak Premier in tracked matches
46Days played since 2026-06-30

Premier CS Rating

  • 538 below peak (11,203)
  • +665 over 30 days · improving
  • Next: Purple band at 15,000 — 4,335 to go
  • Reached: Blue band · Light Blue band

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

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CSDB.GGSupertiikeri4PREMIER10,665 · Blue bandcsdb.gg/stats

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Performance scores

Aim76
Positioning64
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY62–35–3Last 10062%Win rateTLWWLLWWWW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −2.9pp headshot accuracy · −46ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 12%
  • Avg reaction 478ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 494ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 517ms

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 Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim7.6
Utility4.1
Positioning6.4
Opening Duels4.8
Clutch2.6

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

donk

Plays most like donk 91% playstyle similarity

Most alike: opening-duel success, 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

Strengths

T openings. 63% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim7.6
Positioning6.4
Utility4.1
Mechanics4.5
Opening Duels6.3
Win Impact8.6

Composite 6.0/10 (Solid), 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 rating0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time501ms−98ms
first ⅓ avg 598ms → last ⅓ avg 501ms
Headshot accuracy14.5%+2.6%
first ⅓ avg 12.0% → last ⅓ avg 14.5%

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

0.26Best match rating · 9–2 · inferno, 2 Jul →
63%Best headshot accuracy · 13–3 · dust2, 28 Aug →
344msFastest reaction time · 13–1 · inferno, 28 Aug →
13–0Biggest win · ancient, 16 Sept →

Across the last 100 tracked matches.

Highlights

16Longest win streak
7–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 82% over 17cacheWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B209–1145%0.01
infernoB1910–953%0.02
mirageS1714–382%0.02
nukeA127–558%-0.00
anubisS86–275%0.01
ancientS75–271%0.02
cacheD62–433%-0.01
office—31–233%0.03
overpass—22–0100%-0.01
eldorado—22–0100%-0.02
vertigo—22–0100%0.18
poseidon—11–0100%0.00
debris—11–0100%0.08

Across the last 100 tracked matches.

Faceit stats

Combat

73Matches
53%Win rate
1.07Avg K/D
79.8ADR
26%Headshot %

Clutches & streaks

33%1v1 clutch win
23%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1346%1.0314.5
Nuke1250%0.9314.2
Anubis1258%1.1515.6
Dust21164%1.1215.4
Ancient1060%1.2116.3
Inferno757%1.1513.6
Cache650%1.0614.5
Vertigo20%0.5810.0

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.

13.5%Headshot accuracy
33.6%Accuracy (enemy spotted)
41.1%Spray accuracy
70.3%Counter-strafing
6.8°Preaim
484msReaction time
62.7%T opening success
48.1%CT opening success
0.48Enemies flashed / flash
3.6%Flash assists
4.87HE damage / grenade
9.10Flashes / 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 13.4812% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4761 — below the 0.5 mark we flag

    Grenade Lineups →
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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis12–12-0.017%26 Oct →
dust28–13-0.026%25 Oct →
dust213–10.1619%21 Oct →
dust213–3-0.0320%21 Oct →
dust26–130.068%21 Oct →
cache8–13-0.0611%20 Oct →
anubis13–7-0.0317%19 Oct →
inferno9–5-0.140%16 Oct →
overpass9–60.0812%16 Oct →
dust213–11-0.0118%15 Oct →
mirage13–20.1227%15 Oct →
nuke6–9-0.0613%15 Oct →
dust28–13-0.0616%14 Oct →
nuke11–13-0.0115%8 Oct →
ancient16–120.0811%5 Oct →
mirage13–7-0.0218%1 Oct →
mirage13–7-0.079%30 Sept →
inferno13–30.0420%28 Sept →
mirage16–14-0.0314%28 Sept →
cache15–15-0.033%28 Sept →
inferno11–13-0.006%23 Sept →
inferno11–130.0516%17 Sept →
dust26–13-0.0120%17 Sept →
mirage10–130.0317%17 Sept →
mirage13–40.0320%17 Sept →
ancient13–00.1217%16 Sept →
inferno13–70.0014%16 Sept →
ancient13–10-0.046%16 Sept →
mirage13–90.0424%14 Sept →
dust213–10-0.0124%14 Sept →
nuke2–9-0.1726%14 Sept →
inferno4–9-0.0817%13 Sept →
nuke9–70.1712%13 Sept →
ancient10–3-0.020%13 Sept →
inferno8–13-0.0412%10 Sept →
dust26–130.053%10 Sept →
mirage13–5-0.008%9 Sept →
mirage12–50.007%3 Sept →
nuke13–8-0.007%1 Sept →
inferno9–13-0.0211%1 Sept →
inferno3–60.045%1 Sept →
anubis13–70.076%1 Sept →
ancient13–10-0.0214%1 Sept →
inferno4–130.0417%31 Aug →
dust25–13-0.075%31 Aug →
dust216–140.0412%30 Aug →
eldorado9–5-0.0610%30 Aug →
inferno9–6-0.036%30 Aug →
nuke9–3-0.0212%30 Aug →
overpass9–3-0.1012%30 Aug →
poseidon9–60.0018%29 Aug →
anubis13–7-0.016%29 Aug →
vertigo9–10.247%29 Aug →
debris9–20.0829%29 Aug →
nuke16–12-0.0212%28 Aug →
inferno13–1-0.030%28 Aug →
eldorado9–10.0220%28 Aug →
nuke9–4-0.029%28 Aug →
dust213–30.0963%28 Aug →
inferno9–10.2542%28 Aug →
mirage13–10.0617%26 Aug →
dust211–130.0615%26 Aug →
dust26–130.0043%25 Aug →
mirage4–13-0.1213%23 Aug →
mirage13–30.0914%19 Aug →
mirage7–130.026%15 Aug →
mirage13–40.037%15 Aug →
mirage13–8-0.018%14 Aug →
anubis13–110.027%13 Aug →
dust213–110.0418%13 Aug →
inferno13–40.0620%12 Aug →
ancient4–130.0313%12 Aug →
dust23–13-0.047%9 Aug →
mirage13–10.1225%6 Aug →
nuke4–13-0.0617%6 Aug →
inferno7–3-0.0620%6 Aug →
nuke13–40.1218%1 Aug →
vertigo13–30.119%1 Aug →
anubis12–20.0517%30 Jul →
inferno7–9-0.174%25 Jul →
dust27–13-0.039%25 Jul →
anubis13–80.037%25 Jul →
mirage13–60.075%19 Jul →
ancient12–12-0.035%15 Jul →
inferno5–90.0516%15 Jul →
dust213–9-0.005%15 Jul →
dust210–130.0411%15 Jul →
dust213–90.0314%12 Jul →
inferno13–30.1012%11 Jul →
nuke6–9-0.0414%11 Jul →
office13–90.0913%11 Jul →
office3–13-0.0515%11 Jul →
office5–130.0611%11 Jul →
cache3–13-0.0311%7 Jul →
cache2–13-0.0514%2 Jul →
nuke9–60.118%2 Jul →
inferno9–20.266%2 Jul →
cache13–100.0116%2 Jul →
cache13–110.1216%2 Jul →
anubis10–13-0.006%30 Jun →

Match data via Leetify.

Recent teammates

Milestones

100 Matches16-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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