Fly Soulja

Fly Soulja — CS2 Stats

76561198094086028[U:1:133820300]Steam profile ↗✓ No bans

636Tracked matches41%Win rate2020Tracked since
3,907Hours in CS3Hrs last 2 wks
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating16,662Purple band · top ~21.8% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (3 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: 16,662 +1,196 19 Dec – 13 Oct · 34 days played
14,34219,999peak 19,99919 Dec13 Oct
19,999Peak Premier in tracked matches
56Days played since 2025-12-19

Premier CS Rating

  • 3,337 below peak (19,999)
  • -1,179 over 30 days · declining
  • Next: Pink band at 20,000 — 3,338 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-17
  • Blue band first seen 2026-09-17

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches12——
Win rate42%——
K/D0.74——
Headshot %55%——

Measured 17 Sep 2026 → 16 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,918), 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 playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate47.3%43.7%44.8%above
Shot accuracy16.7%12.0%12.4%above
Kill/death ratio0.961.021.030.08 short
Match win rate43.1%44.7%45.2%2.1% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFly SouljaFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER16,662 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim55
Positioning56
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateWLLLLWWWLT

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +0.6pp headshot accuracy · −43ms reaction

Win rate +10pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 19%
  • Avg reaction 555ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 19%
  • Avg reaction 569ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 590ms

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 (+1.5 against its own average).

Aim5.5
Utility5.0
Positioning5.6
Opening Duels3.2
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 79% 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

Reaction time. 587ms 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

Aim5.5
Positioning5.6
Utility5.0
Mechanics6.1
Opening Duels2.9
Win Impact2.1

Composite 4.9/10 (Developing), 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 rating-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time579ms−79ms
first ⅓ avg 658ms → last ⅓ avg 579ms
Headshot accuracy20.4%−4.1%
first ⅓ avg 24.5% → last ⅓ avg 20.4%

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 · 8–0 · dust2, 5 May →
54%Best headshot accuracy · 6–13 · inferno, 6 Jan →
391msFastest reaction time · 7–13 · dust2, 7 Aug →
13–1Biggest win · anubis, 13 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 67% over 6cacheWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
dust2B4122–1954%-0.02
cacheC176–1135%-0.03
infernoC104–640%-0.01
mirageC104–640%-0.01
ancientA95–456%-0.03
nukeS64–267%-0.04
anubisC52–340%-0.04
overpass—11–0100%0.11
train—10–10%0.05

Across the last 100 tracked matches.

Lifetime stats

91,625Lifetime kills
0.96K/D
4,783Matches
43.1%Match win rate
47.3%Headshot % · Top 50% of Level 5 players
16.7%Shot accuracy · Top 25% of Level 5 players
12,018MVPs
2,220Hours (in match)
3,596Bombs planted
974Bombs defused

Most-used weapons

AK-4731,944
AWP5,056
FAMAS4,771
P903,436
P2501,883

Lifetime map wins

28,030dust2
3,196inferno
1,242vertigo
706nuke
662train
599cbble
290lake
134office

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

Faceit stats

Combat

173Matches
53%Win rate
1.02Avg K/D
83.8ADR
49%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage650%0.9312.8
Dust2580%1.0715.8
Inferno450%0.9014.5
Anubis425%0.9212.5
Ancient425%0.9516.8
Vertigo250%1.3221.0
Overpass250%0.7312.5

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.

19.9%Headshot accuracy
29.8%Accuracy (enemy spotted)
34.5%Spray accuracy
77.6%Counter-strafing
11.7°Preaim
587msReaction time
40.2%T opening success
42.8%CT opening success
0.66Enemies flashed / flash
9.2%Flash assists
7.31HE damage / grenade
6.62Flashes / 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.

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke13–11-0.0423%13 Oct →
anubis11–13-0.0315%13 Oct →
nuke4–13-0.0431%13 Oct →
cache5–13-0.0611%11 Oct →
dust28–13-0.0714%25 Sept →
dust213–4-0.0422%23 Sept →
ancient10–4-0.0411%17 Sept →
dust213–4-0.0121%17 Sept →
dust25–130.0122%17 Sept →
dust212–12-0.0415%17 Sept →
dust26–13-0.0324%13 Sept →
inferno5–13-0.069%8 Sept →
cache10–13-0.0918%8 Sept →
dust23–13-0.0322%8 Sept →
dust212–16-0.069%7 Sept →
inferno10–13-0.0715%7 Sept →
dust213–7-0.0218%3 Sept →
dust213–9-0.0221%3 Sept →
dust213–100.0132%2 Sept →
dust23–13-0.0912%31 Aug →
cache11–13-0.0132%31 Aug →
cache13–4-0.0824%31 Aug →
inferno16–130.0018%29 Aug →
cache11–130.0228%29 Aug →
dust22–13-0.0521%28 Aug →
dust213–90.0725%23 Aug →
cache13–9-0.0017%21 Aug →
cache5–13-0.0723%18 Aug →
cache13–8-0.0227%17 Aug →
dust210–13-0.0218%16 Aug →
dust213–60.0223%15 Aug →
inferno0–13-0.0125%14 Aug →
cache8–13-0.0728%13 Aug →
dust211–13-0.0333%13 Aug →
anubis13–10.0837%13 Aug →
ancient5–130.0114%13 Aug →
dust27–13-0.0936%7 Aug →
cache2–130.0340%7 Aug →
dust213–8-0.0328%6 Aug →
overpass13–80.1119%15 Jun →
dust213–90.0137%11 Jun →
ancient13–11-0.0122%1 Jun →
mirage3–13-0.0623%1 Jun →
cache1–13-0.0421%1 Jun →
mirage13–110.0415%27 May →
dust27–130.0121%22 May →
dust216–12-0.0216%21 May →
dust213–9-0.0023%20 May →
nuke9–13-0.0531%19 May →
dust211–13-0.0315%17 May →
ancient5–13-0.0811%17 May →
dust213–10-0.0622%16 May →
cache12–12-0.0318%16 May →
mirage13–5-0.0214%14 May →
ancient8–130.0116%13 May →
ancient15–15-0.059%13 May →
mirage11–130.0018%13 May →
dust213–90.0449%12 May →
dust24–13-0.0826%12 May →
mirage13–40.0120%12 May →
mirage11–13-0.0118%11 May →
dust213–9-0.0127%11 May →
dust212–16-0.0227%11 May →
anubis8–13-0.1020%11 May →
mirage5–13-0.0726%11 May →
cache12–12-0.0311%10 May →
inferno9–50.0017%10 May →
dust216–120.1030%8 May →
mirage9–13-0.0120%7 May →
dust213–11-0.0413%7 May →
mirage14–160.0116%7 May →
dust22–13-0.0622%7 May →
dust213–8-0.0530%7 May →
cache13–50.0217%6 May →
dust210–13-0.0518%6 May →
dust28–00.1352%5 May →
dust213–90.0029%5 May →
inferno5–9-0.0520%5 May →
ancient13–9-0.0813%5 May →
cache13–60.0228%5 May →
cache9–13-0.0219%4 May →
inferno13–60.0950%4 May →
cache13–70.0219%29 Apr →
anubis9–13-0.1224%29 Mar →
dust213–10-0.0722%29 Mar →
dust23–13-0.0824%15 Mar →
anubis13–11-0.0120%10 Mar →
ancient13–10-0.0820%10 Jan →
nuke13–11-0.086%9 Jan →
dust213–4-0.0536%9 Jan →
inferno6–130.0354%6 Jan →
dust23–13-0.0232%4 Jan →
train11–130.0525%4 Jan →
nuke13–10-0.0422%3 Jan →
dust213–10.0112%3 Jan →
inferno13–40.0139%3 Jan →
inferno13–16-0.0818%31 Dec →
ancient16–13-0.0124%30 Dec →
mirage13–8-0.0319%20 Dec →
nuke13–100.0317%19 Dec →

Match data via Leetify.

Recent teammates

Milestones

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

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