FlyingFox

FlyingFox — CS2 Stats

FI76561198235123312[U:1:274857584]Steam profile ↗✓ No bans

1,841Tracked matches40%Win rate2020Tracked since
CSDB Rating6.2 SolidPositional Player
Premier CS Rating19,720Top 50% of 210,832 CSDB-tracked playersPurple band · top ~9.6% of ranked players (population est.)
CSDB Leaderboard#89345 of 258188 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 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: 19,720 -864 12 Aug – 22 Oct · 22 days played
19,37422,985peak 22,98512 Aug22 Oct
Faceit ELO: 1,786 +0 1 Sept – 2 Sept · 2 observations
1,7861,786peak 1,7861 Sept2 Sept
23,366Peak Premier in tracked matches
1,786Highest Faceit ELO seen on CSDB
24Days played since 2026-08-12

Premier CS Rating

  • 3,265 below peak (22,985)
  • -1,511 over 30 days · declining
  • Next: Pink band at 20,000 — 280 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

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.GGFlyingFoxFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER19,720 · Purple bandPEAK ELO1,786csdb.gg/stats

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Performance scores

Aim76
Positioning64
Utility49

0–100 skill scores via Leetify.

Recent form

COLD48–45–7Last 10048%Win rateWLLLLWLLLL

Last 10 vs previous 10: −20pp win rate · +0.03 avg rating · −6.3pp headshot accuracy · −57ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 505ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 531ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 560ms

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 (+1.2 against its own average).

Aim7.6
Utility4.9
Positioning6.4
Opening Duels4.9
Clutch4.6

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

m0NESY

Plays most like m0NESY 92% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.6
Positioning6.4
Utility4.9
Mechanics7.5
Opening Duels6.2
Win Impact1.7

Composite 6.2/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time546ms+40ms
first ⅓ avg 507ms → last ⅓ avg 546ms
Headshot accuracy18.5%+3.8%
first ⅓ avg 14.7% → last ⅓ avg 18.5%

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

0.19Best match rating · 9–6 · inferno, 22 Aug →
50%Best headshot accuracy · 13–10 · nuke, 6 Sept →
359msFastest reaction time · 5–13 · cache, 31 Aug →
13–0Biggest win · ancient, 5 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 60% over 15infernoWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
cacheB2010–1050%0.02
ancientA159–660%0.02
nukeC146–843%0.01
infernoD124–833%0.01
dust2A127–558%0.03
anubisB115–645%0.01
mirageC114–736%0.02
shelter—10–10%0.04
fachwerk—11–0100%0.04
overpass—11–0100%0.01
boulder—11–0100%-0.00
train—10–10%-0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

688Matches
52%Win rate
1.31Avg K/D
97.3ADR
37%Headshot %

Clutches & streaks

43%1v1 clutch win
25%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3158%1.4618.7
Anubis2966%1.4419.3
Ancient944%1.1017.2
Overpass989%1.3521.0
Nuke850%1.2819.4
Inferno825%0.9114.5
Dust2475%1.2919.8

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.

18.6%Headshot accuracy
34.4%Accuracy (enemy spotted)
36.7%Spray accuracy
83.7%Counter-strafing
9.4°Preaim
548msReaction time
59.2%T opening success
50.8%CT opening success
0.54Enemies flashed / flash
10.3%Flash assists
7.32HE damage / grenade
5.24Flashes / match

Recommended for you

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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–9-0.079%22 Oct →
anubis10–130.0012%22 Oct →
inferno6–13-0.0319%22 Oct →
dust210–130.0517%14 Oct →
cache14–160.1419%14 Oct →
cache13–40.0721%14 Oct →
cache7–130.0316%14 Oct →
cache8–130.0415%21 Sept →
mirage7–130.049%21 Sept →
nuke8–13-0.0514%20 Sept →
cache3–13-0.0211%20 Sept →
dust28–130.0920%11 Sept →
nuke6–90.0812%11 Sept →
inferno6–9-0.1218%11 Sept →
nuke13–10-0.1350%6 Sept →
cache16–120.006%6 Sept →
dust213–30.1123%6 Sept →
cache10–13-0.0126%6 Sept →
nuke13–9-0.0118%6 Sept →
cache4–13-0.0730%6 Sept →
inferno8–13-0.0827%6 Sept →
cache11–130.0719%5 Sept →
ancient13–00.0915%5 Sept →
inferno7–130.0538%5 Sept →
dust213–60.0421%5 Sept →
cache11–130.0920%5 Sept →
mirage2–130.008%5 Sept →
ancient13–9-0.0614%5 Sept →
dust213–80.0211%5 Sept →
cache13–11-0.0124%5 Sept →
ancient13–90.003%5 Sept →
dust213–16-0.0521%31 Aug →
cache5–13-0.0125%31 Aug →
inferno1–13-0.0611%31 Aug →
shelter12–120.0413%31 Aug →
cache13–8-0.0222%31 Aug →
inferno13–70.0921%31 Aug →
ancient6–130.012%31 Aug →
anubis13–7-0.0316%29 Aug →
mirage13–50.0824%29 Aug →
nuke10–13-0.0117%29 Aug →
mirage11–130.0414%28 Aug →
anubis9–130.014%28 Aug →
nuke13–8-0.0111%28 Aug →
ancient13–11-0.0314%28 Aug →
inferno13–40.0219%28 Aug →
mirage9–13-0.0215%28 Aug →
anubis11–13-0.0515%28 Aug →
fachwerk13–70.0418%27 Aug →
mirage13–10-0.0115%27 Aug →
overpass13–10.0116%27 Aug →
ancient13–110.0413%26 Aug →
anubis14–160.019%26 Aug →
mirage4–13-0.016%26 Aug →
anubis13–90.0312%26 Aug →
cache11–80.049%26 Aug →
ancient16–140.0314%25 Aug →
mirage15–15-0.0020%25 Aug →
dust210–13-0.0213%25 Aug →
anubis13–20.0617%24 Aug →
ancient13–80.0716%24 Aug →
inferno4–13-0.0310%24 Aug →
anubis9–130.0622%24 Aug →
mirage13–160.0915%23 Aug →
nuke13–70.0130%23 Aug →
nuke9–70.1613%22 Aug →
inferno9–60.1916%22 Aug →
inferno8–8-0.0421%22 Aug →
nuke9–60.1312%22 Aug →
dust28–13-0.0721%21 Aug →
ancient8–13-0.077%21 Aug →
cache16–13-0.0511%21 Aug →
nuke15–15-0.0510%21 Aug →
boulder13–10-0.0021%20 Aug →
nuke12–120.0113%20 Aug →
ancient11–130.0019%20 Aug →
anubis0–5-0.0117%20 Aug →
mirage13–9-0.028%20 Aug →
train2–13-0.096%19 Aug →
inferno7–130.0420%19 Aug →
cache13–100.0412%19 Aug →
ancient15–150.0512%19 Aug →
ancient11–130.0213%17 Aug →
dust213–90.0321%17 Aug →
cache13–10-0.0319%17 Aug →
mirage13–110.0110%17 Aug →
dust213–110.0516%17 Aug →
nuke15–150.0218%17 Aug →
ancient13–50.0513%17 Aug →
dust213–60.0515%17 Aug →
dust213–60.0615%17 Aug →
anubis13–50.0212%16 Aug →
ancient13–40.139%16 Aug →
inferno13–110.0920%16 Aug →
cache1–130.0444%16 Aug →
cache13–50.0519%16 Aug →
nuke10–130.0215%14 Aug →
nuke9–13-0.007%14 Aug →
anubis13–40.016%13 Aug →
ancient8–13-0.067%12 Aug →

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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