FLO2i4N

FLO2i4N — CS2 Stats

DE76561198120860193[U:1:160594465]Steam profile ↗✓ No bans

133Tracked matches21%Win rate2022Tracked since
CSDB Rating2.3 LearningPositional Player
Ladder ranks via Leetify

Performance scores

Aim17
Positioning31
Utility15

0–100 skill scores via Leetify.

Recent form

COLD28–62–10Last 10028%Win rateLLWLLWLLWL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +0.8pp headshot accuracy · −30ms 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 -0.09
  • Avg headshot accuracy 15%
  • Avg reaction 824ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 18%
  • Avg reaction 738ms

Last 20

  • 5–14–1 · 25% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 17%
  • Avg reaction 753ms

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 (+1.6 against its own average).

Aim1.7
Utility1.5
Positioning3.1
Opening Duels0.0

Limited utility dependence

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

jL

Plays most like jL 76% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 767ms 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

Aim1.7
Positioning3.1
Utility1.5
Mechanics6.3
Opening Duels0.0
Win Impact0.0

Composite 2.3/10 (Learning), 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-0.09−0.02
first ⅓ avg -0.07 → last ⅓ avg -0.09
Reaction time742ms−37ms
first ⅓ avg 779ms → last ⅓ avg 742ms
Headshot accuracy14.5%−0.0%
first ⅓ avg 14.5% → 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

0.07Best match rating · 13–1 · mirage, 8 Mar →
43%Best headshot accuracy · 8–13 · anubis, 29 Sept →
508msFastest reaction time · 13–8 · mirage, 29 Mar →
13–1Biggest win · mirage, 8 Mar →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
3–2In matches decided by ≤2 rounds
15Overtime games

Map breakdown

infernoBest map · 35% over 17nukeWeakest map · 0% over 10
MapGradePlayedRecordWin rateAvg rating
mirageD319–2229%-0.07
anubisD185–1328%-0.06
infernoC176–1135%-0.10
ancientD134–931%-0.09
nukeD100–100%-0.09
dust2—42–250%-0.09
overpass—31–233%-0.11
cache—20–20%-0.10
vertigo—21–150%-0.09

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (0% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

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

15.4%Headshot accuracy
22.7%Accuracy (enemy spotted)
30.1%Spray accuracy
78.6%Counter-strafing
13.1°Preaim
767msReaction time
13.0%T opening success
24.5%CT opening success
0.14Enemies flashed / flash
0.4%Flash assists
3.92HE damage / grenade
2.78Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.078° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 767.3009ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.1397 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

0% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis7–13-0.0613%30 Sept →
dust211–13-0.1318%30 Sept →
ancient13–2-0.0516%30 Sept →
cache3–13-0.099%30 Sept →
cache3–13-0.1120%29 Sept →
inferno13–7-0.110%29 Sept →
dust27–13-0.0518%29 Sept →
anubis8–13-0.0443%29 Sept →
anubis13–10-0.0429%24 Sept →
anubis4–13-0.0511%24 Sept →
ancient12–12-0.127%16 Sept →
mirage6–13-0.0513%16 Sept →
dust213–8-0.1022%9 Sept →
anubis7–13-0.0525%9 Sept →
inferno6–13-0.1327%26 Aug →
mirage13–9-0.0812%26 Aug →
anubis7–13-0.0511%22 Aug →
mirage3–13-0.0912%22 Jul →
anubis4–13-0.0518%22 Jul →
nuke4–13-0.0923%22 Jul →
overpass9–7-0.1313%12 Jul →
nuke1–9-0.248%12 Jul →
inferno9–6-0.1512%12 Jul →
vertigo9–7-0.047%12 Jul →
vertigo8–8-0.140%12 Jul →
anubis7–13-0.077%8 Jul →
nuke4–13-0.1210%1 Jul →
inferno7–13-0.0514%30 Jun →
ancient1–13-0.0914%30 Jun →
mirage9–13-0.0610%30 Jun →
nuke5–13-0.0711%30 Jun →
anubis6–13-0.0219%30 Jun →
inferno5–13-0.137%28 Jun →
nuke15–15-0.1014%28 Jun →
ancient13–7-0.126%28 Jun →
mirage14–16-0.0711%28 Jun →
inferno13–8-0.0513%24 Jun →
nuke9–13-0.0713%24 Jun →
ancient2–13-0.095%24 Jun →
mirage6–13-0.0221%8 Jun →
inferno13–9-0.0313%31 Mar →
inferno3–13-0.1313%31 Mar →
mirage8–130.000%28 Sept →
nuke3–9-0.188%28 Sept →
inferno5–13-0.0422%23 Aug →
mirage0–13-0.1129%23 Aug →
mirage4–13-0.0620%7 Apr →
inferno1–9-0.3240%2 Nov →
inferno4–9-0.1423%2 Nov →
ancient7–1-0.0513%2 Apr →
mirage13–9-0.1027%2 Apr →
anubis13–5-0.0514%2 Apr →
mirage13–9-0.099%29 Mar →
mirage13–80.0323%29 Mar →
mirage2–13-0.190%29 Mar →
mirage4–13-0.1118%15 Mar →
inferno13–11-0.0614%14 Mar →
ancient4–13-0.100%13 Mar →
mirage12–12-0.0919%13 Mar →
mirage12–12-0.1221%12 Mar →
ancient5–13-0.0522%12 Mar →
anubis13–6-0.079%12 Mar →
mirage8–13-0.0021%9 Mar →
inferno13–5-0.100%9 Mar →
overpass12–12-0.108%8 Mar →
mirage13–10.078%8 Mar →
ancient13–6-0.1111%6 Mar →
mirage13–8-0.0713%3 Mar →
ancient2–13-0.1126%3 Mar →
inferno9–13-0.116%3 Mar →
mirage13–60.0314%3 Mar →
dust213–2-0.079%3 Mar →
inferno15–15-0.0215%24 Sept →
anubis4–16-0.0415%14 Sept →
mirage7–13-0.0717%5 Sept →
ancient5–13-0.130%5 Sept →
mirage8–8-0.088%26 Aug →
mirage9–5-0.0515%26 Aug →
overpass3–9-0.093%26 Aug →
nuke3–9-0.0119%25 Aug →
nuke2–90.019%25 Aug →
anubis3–9-0.107%20 Aug →
inferno0–9-0.1420%6 Aug →
nuke8–8-0.039%6 Aug →
mirage4–9-0.086%6 Aug →
mirage8–8-0.0414%3 Aug →
inferno13–16-0.0529%3 Aug →
anubis16–9-0.0318%26 Jul →
anubis12–16-0.0712%17 Jul →
anubis3–9-0.106%12 Jul →
mirage9–4-0.0420%12 Jul →
anubis16–4-0.0519%11 Jul →
ancient7–16-0.0711%11 Jul →
anubis11–16-0.1012%4 Jul →
mirage5–9-0.136%11 May →
mirage4–16-0.1521%11 May →
mirage7–16-0.0823%11 May →
ancient9–16-0.0714%17 Mar →
mirage9–16-0.0628%14 Mar →
mirage9–16-0.0934%28 Feb →

Match data via Leetify.

Recent teammates

Milestones

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

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