flux

flux — CS2 Stats

AU76561198119140642[U:1:158874914]Steam profile ↗✓ No bans

540Tracked matches39%Win rate2020Tracked since
CSDB Rating6.3 SolidAggressive Rifler
WingmanGold Nova Master
Ladder ranks via Leetify

Performance scores

Aim82
Positioning72
Utility53

0–100 skill scores via Leetify.

Recent form

COLD464410Last 10046%Win rateLLLWTWLWLL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.2
Aggression9.9
Utility5.3
Positioning7.2
Opening Duels5.3

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.

Your pro match

donk

Plays most like donk 92% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 66% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.2
Positioning7.2
Utility5.3
Mechanics6.3
Opening Duels5.3
Win Impact1.4

Composite 6.3/10 (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 rating0.05+0.01
first ⅓ avg 0.04 → last ⅓ avg 0.05
Reaction time543ms−55ms
first ⅓ avg 597ms → last ⅓ avg 543ms
Headshot accuracy21.0%+4.8%
first ⅓ avg 16.2% → last ⅓ avg 21.0%

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.

Highlights

0.19Best rating — office 13–6
132Biggest win — office
5Longest win streak
L3Current streak
67In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 60% over 20cacheWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
nukeA2011955%0.04
infernoA2012860%0.06
officeA127558%0.07
cacheD123925%0.04
overpassD113827%0.05
dust2C104640%0.06
anubisA74357%0.05
mirage21150%-0.01
fachwerk21150%0.04
italy1010%0.02
vertigo1010%0.05
boulder1010%0.05
ancient1010%0.07

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.8%Headshot accuracy
37.7%Accuracy (enemy spotted)
41.3%Spray accuracy
78.3%Counter-strafing
9.8°Preaim
541msReaction time
36.4%T opening success
65.6%CT opening success
0.45Enemies flashed / flash
4.5%Flash assists
17.06HE damage / grenade
6.94Flashes / 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. 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 0.4547 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 36.4075% — below the 40% mark we flag

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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
anubis10–13-0.0518%27 Aug
dust214–160.0322%26 Aug
dust27–130.0828%25 Aug
nuke13–70.0333%25 Aug
inferno8–80.1437%23 Aug
nuke13–90.107%23 Aug
anubis5–130.0220%23 Aug
office13–100.0128%21 Aug
overpass4–130.0122%21 Aug
mirage7–130.0119%21 Aug
italy6–130.0219%20 Aug
office13–50.0325%20 Aug
cache3–13-0.0223%20 Aug
office13–40.0726%19 Aug
vertigo12–120.0522%16 Aug
office13–20.1036%10 Aug
cache2–13-0.0318%9 Aug
nuke13–100.1216%9 Aug
inferno8–130.1025%9 Aug
dust213–110.0422%7 Aug
office13–60.1921%7 Aug
nuke5–130.0617%2 Aug
cache9–130.0515%2 Aug
inferno5–130.0820%1 Aug
nuke13–50.1115%1 Aug
cache9–130.0215%1 Aug
office10–130.0316%28 Jul
cache5–130.019%28 Jul
dust25–130.1127%27 Jul
office12–120.0427%27 Jul
cache13–70.0119%26 Jul
office7–130.0110%26 Jul
office13–40.1217%24 Jul
cache13–80.0826%24 Jul
office13–60.1430%20 Jul
cache3–130.027%20 Jul
cache12–120.0525%19 Jul
office6–130.0726%19 Jul
fachwerk8–130.0116%19 Jul
office8–130.0524%18 Jul
fachwerk10–30.0721%16 Jul
boulder5–130.0511%16 Jul
cache13–50.139%16 Jul
cache10–130.0222%13 Jul
nuke13–60.018%9 Jul
anubis13–30.0815%9 Jul
inferno13–60.0918%9 Jul
overpass13–80.0712%5 Jul
ancient11–130.0713%5 Jul
nuke13–110.0516%5 Jul
overpass11–130.1119%3 Jul
inferno13–50.0314%3 Jul
overpass7–13-0.0614%2 Jul
nuke15–150.0216%2 Jul
inferno13–20.118%30 Jun
inferno13–90.1015%30 Jun
inferno13–8-0.0320%29 Jun
nuke5–13-0.0117%29 Jun
anubis12–16-0.019%26 Jun
inferno14–160.0515%26 Jun
overpass7–130.1015%26 Jun
dust213–110.1329%24 Jun
overpass13–160.1014%23 Jun
inferno13–160.0126%22 Jun
anubis16–140.0718%21 Jun
nuke14–160.0816%21 Jun
nuke15–150.0922%20 Jun
nuke13–60.056%19 Jun
anubis13–50.0823%19 Jun
inferno13–90.0617%18 Jun
nuke14–160.0726%17 Jun
overpass15–150.0312%16 Jun
inferno7–130.0016%7 Jun
inferno13–100.0918%7 Jun
overpass8–130.0514%31 May
anubis13–100.1516%31 May
cache12–120.1414%31 May
nuke5–13-0.0220%30 May
inferno6–130.0513%29 May
nuke3–9-0.2111%29 May
overpass13–110.1019%25 May
nuke13–30.0417%22 May
nuke13–40.0828%22 May
inferno16–120.0613%22 May
dust213–60.0223%16 May
nuke5–13-0.0113%16 May
inferno13–90.0119%15 May
dust213–40.1217%15 May
overpass10–130.0112%13 May
inferno13–60.0615%13 May
inferno13–70.0319%11 May
mirage13–8-0.0216%10 May
overpass13–7-0.0110%10 May
inferno15–150.0818%9 May
dust22–13-0.0517%9 May
dust215–150.1411%9 May
inferno13–30.1312%8 May
nuke13–20.0419%8 May
nuke13–110.0612%6 May
dust211–130.0221%6 May

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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