Super Fly

Super Fly — CS2 Stats

76561198214823137[U:1:254557409]Steam profile ↗✓ No bans

1,732Tracked matches54%Win rate2020Tracked since
4,053Hours in CS9Hrs last 2 wks
CSDB Rating6.9 SolidPositional Player
Premier CS Rating19,999Top 50% of 213,740 CSDB-tracked playersPurple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#85690 of 260208 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (6 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: 19,999 +2,218 5 Jul – 1 Nov · 28 days played
17,50622,261peak 22,2615 Jul1 Nov
22,495Peak Premier in tracked matches
32Days played since 2026-07-05

Premier CS Rating

  • 2,262 below peak (22,261)
  • -1,636 over 90 days
  • Next: Pink band at 20,000 — 1 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-07
  • Blue band first seen 2026-09-07

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

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate46.0%44.4%46.9%meets
Shot accuracy16.5%11.9%13.0%above
Kill/death ratio0.951.031.080.13 short
Match win rate37.4%45.2%46.7%9.2% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGSuper FlyPREMIER19,999 · Purple bandcsdb.gg/stats

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Performance scores

Aim87
Positioning66
Utility49

0–100 skill scores via Leetify.

Recent form

HOT50–46–4Last 10050%Win rateWWWWLTWLWW

Last 10 vs previous 10: +30pp win rate · +0.05 avg rating · +7.6pp headshot accuracy · +5ms reaction

Win rate up 30pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 516ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 571ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 569ms

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 (+2.5 against its own average).

Aim8.7
Utility4.9
Positioning6.6
Opening Duels5.0
Clutch0.0

Sharp aimer

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 95% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

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

Reaction time. 576ms 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

Aim8.7
Positioning6.6
Utility4.9
Mechanics6.5
Opening Duels6.1
Win Impact6.2

Composite 6.9/10 (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 rating0.02+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time582ms−61ms
first ⅓ avg 643ms → last ⅓ avg 582ms
Headshot accuracy21.2%−0.0%
first ⅓ avg 21.2% → last ⅓ avg 21.2%

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

0.13Best match rating · 9–6 · nuke, 18 Jul →
100%Best headshot accuracy · 13–0 · dust2, 13 Aug →
438msFastest reaction time · 13–0 · mirage, 31 Oct →
13–0Biggest win · mirage, 31 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W4Current streak
10–10In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 60% over 10cacheWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B3016–1453%0.02
mirageA2514–1156%0.00
infernoC125–742%-0.01
nukeA106–460%0.00
cacheD103–730%-0.01
ancientC73–443%0.00
anubis—42–250%0.01
overpass—10–10%0.06
debris—11–0100%0.00

Across the last 100 tracked matches.

Lifetime stats

137,431Lifetime kills
0.95K/D
6,205Matches
37.4%Match win rate
46.0%Headshot % · Top 50% of Purple band
16.5%Shot accuracy · Top 25% of Purple band
13,124MVPs
2,978Hours (in match)
2,394Bombs planted
1,178Bombs defused

Most-used weapons

AK-4748,419
AWP24,457
MAC-103,212
MP92,554
SSG 082,184
FAMAS2,164

Lifetime map wins

11,680dust2
4,973inferno
2,963nuke
1,914vertigo
1,753train
465cbble
341office
83lake

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

Faceit stats

Combat

6Matches
50%Win rate
0.59Avg K/D
45.5ADR
38%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke10%0.417.0
Inferno10%0.061.0

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.

19.8%Headshot accuracy
39.6%Accuracy (enemy spotted)
41.0%Spray accuracy
79.3%Counter-strafing
7.0°Preaim
576msReaction time
52.7%T opening success
56.5%CT opening success
0.65Enemies flashed / flash
6.4%Flash assists
8.54HE damage / grenade
10.54Flashes / match

Recommended for you

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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno13–8-0.0621%1 Nov →
dust213–100.0711%31 Oct →
dust213–60.1224%31 Oct →
mirage13–00.0220%31 Oct →
overpass4–130.0631%31 Oct →
ancient15–150.0515%25 Oct →
inferno13–100.0421%25 Oct →
mirage5–130.0629%25 Oct →
ancient13–110.1320%24 Oct →
nuke13–70.0121%24 Oct →
inferno10–130.0118%24 Oct →
ancient13–11-0.0211%18 Oct →
nuke9–13-0.0210%9 Sept →
cache13–6-0.019%9 Sept →
mirage16–13-0.0214%8 Sept →
mirage15–150.0310%8 Sept →
dust213–20.0214%7 Sept →
cache11–130.0318%7 Sept →
inferno8–13-0.068%7 Sept →
mirage6–130.0124%7 Sept →
cache11–13-0.0617%7 Sept →
dust213–110.0917%22 Aug →
nuke8–13-0.0221%22 Aug →
nuke13–7-0.0114%22 Aug →
mirage10–130.0823%22 Aug →
mirage11–130.0123%15 Aug →
dust22–13-0.0114%15 Aug →
anubis5–13-0.028%15 Aug →
mirage13–100.0144%15 Aug →
dust213–00.08100%13 Aug →
nuke13–90.0630%12 Aug →
ancient8–13-0.0713%12 Aug →
mirage9–13-0.0726%11 Aug →
cache15–15-0.0031%10 Aug →
dust24–13-0.0515%7 Aug →
dust28–13-0.0210%7 Aug →
mirage13–60.0414%7 Aug →
cache4–130.028%7 Aug →
nuke3–4-0.0320%7 Aug →
inferno13–11-0.0110%7 Aug →
dust213–30.0230%6 Aug →
dust213–50.0023%6 Aug →
ancient11–13-0.029%6 Aug →
nuke13–8-0.0220%6 Aug →
mirage5–13-0.0218%3 Aug →
cache13–8-0.0322%3 Aug →
dust213–70.0532%3 Aug →
dust25–13-0.048%2 Aug →
anubis13–30.0625%26 Jul →
cache11–13-0.0235%26 Jul →
mirage13–11-0.0316%26 Jul →
dust216–130.0433%26 Jul →
dust214–16-0.0020%25 Jul →
debris9–70.0050%25 Jul →
mirage8–13-0.0533%25 Jul →
dust211–130.0720%24 Jul →
ancient2–13-0.0833%24 Jul →
inferno9–13-0.0420%24 Jul →
mirage9–13-0.0221%24 Jul →
dust29–130.0233%24 Jul →
mirage16–14-0.0025%23 Jul →
dust213–5-0.0818%23 Jul →
dust213–10-0.0218%23 Jul →
cache13–6-0.0115%23 Jul →
inferno5–9-0.0032%23 Jul →
dust21–13-0.010%22 Jul →
ancient13–40.0421%21 Jul →
mirage13–90.0314%21 Jul →
mirage13–70.0421%20 Jul →
inferno9–13-0.0625%19 Jul →
dust213–5-0.0124%19 Jul →
mirage13–9-0.0435%19 Jul →
cache10–130.0128%19 Jul →
mirage9–130.0223%18 Jul →
dust215–150.0125%18 Jul →
cache6–13-0.050%18 Jul →
mirage16–120.0218%18 Jul →
inferno13–6-0.0525%18 Jul →
nuke9–60.1330%18 Jul →
anubis8–13-0.0223%16 Jul →
dust27–13-0.0111%12 Jul →
anubis13–90.0325%12 Jul →
dust216–140.0121%12 Jul →
mirage13–6-0.0322%12 Jul →
mirage16–14-0.0612%12 Jul →
mirage13–8-0.0114%12 Jul →
nuke7–13-0.0318%11 Jul →
dust25–130.0919%11 Jul →
inferno6–13-0.0114%11 Jul →
mirage13–70.0128%11 Jul →
nuke13–10-0.0215%11 Jul →
mirage11–130.0013%11 Jul →
inferno12–160.0223%11 Jul →
dust213–110.0023%11 Jul →
dust213–70.0835%11 Jul →
dust29–13-0.0621%7 Jul →
inferno13–80.0426%7 Jul →
dust29–13-0.0329%7 Jul →
dust213–70.0317%5 Jul →
dust214–16-0.0123%5 Jul →

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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