Floid

Floid — CS2 Stats

FI76561198046611144[U:1:86345416]Steam profile ↗✓ No bans

1,144Tracked matches60%Win rate2020Tracked since
CSDB Rating7.6 StrongAll-Rounder
Premier CS Rating15,388Purple band · top ~26.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (yesterday). 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: 15,388 +1,346 1 Sept – 11 Oct · 24 days played
13,64417,158peak 17,1581 Sept11 Oct
17,444Peak Premier in tracked matches
20Days played since 2026-09-01

Premier CS Rating

  • 1,770 below peak (17,158)
  • +497 over 30 days · improving
  • Next: Pink band at 20,000 — 4,612 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-19
  • Blue 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.

Share this profile

CSDB.GGFloidPREMIER15,388 · Purple bandcsdb.gg/stats

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Performance scores

Aim80
Positioning71
Utility53

0–100 skill scores via Leetify.

Recent form

HOT50–47–3Last 10050%Win rateLWWWLWWWWL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +3.7pp headshot accuracy · +47ms reaction

Win rate up 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 31%
  • Avg reaction 630ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 29%
  • Avg reaction 612ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 27%
  • Avg reaction 588ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.0
Utility5.3
Positioning7.1
Opening Duels7.0

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 89% 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. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 75% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 583ms 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

Aim8.0
Positioning7.1
Utility5.3
Mechanics8.4
Opening Duels9.1
Win Impact8.3

Composite 7.6/10 (Strong), 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 rating0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time576ms−9ms
first ⅓ avg 586ms → last ⅓ avg 576ms
Headshot accuracy26.4%−1.4%
first ⅓ avg 27.8% → last ⅓ avg 26.4%

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 · 13–7 · nuke, 9 Oct →
56%Best headshot accuracy · 13–5 · cache, 20 Sept →
445msFastest reaction time · 13–9 · anubis, 9 Oct →
13–2Biggest win · nuke, 8 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–12In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 70% over 20infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB2211–1150%-0.02
nukeS2014–670%-0.01
dust2C145–936%-0.02
cacheB137–654%-0.02
anubisB115–645%-0.01
ancientA116–555%-0.01
infernoD92–722%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno 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.

27.2%Headshot accuracy
29.1%Accuracy (enemy spotted)
29.9%Spray accuracy
87.6%Counter-strafing
7.3°Preaim
583msReaction time
74.6%T opening success
62.8%CT opening success
0.58Enemies flashed / flash
6.0%Flash assists
9.93HE damage / grenade
7.55Flashes / 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0527%11 Oct →
anubis13–9-0.0120%11 Oct →
mirage13–70.1026%11 Oct →
cache16–14-0.0235%11 Oct →
nuke11–13-0.0348%11 Oct →
mirage13–10-0.0626%11 Oct →
anubis13–7-0.0023%11 Oct →
ancient13–110.0444%11 Oct →
nuke13–11-0.0523%11 Oct →
anubis11–13-0.0218%11 Oct →
dust23–13-0.0324%10 Oct →
dust213–100.0222%10 Oct →
nuke13–3-0.0332%10 Oct →
inferno10–13-0.0330%10 Oct →
nuke13–100.0021%10 Oct →
dust213–70.0535%10 Oct →
nuke13–100.1024%10 Oct →
cache4–13-0.0425%10 Oct →
inferno3–13-0.0028%9 Oct →
dust27–13-0.0312%9 Oct →
nuke13–70.1327%9 Oct →
inferno13–50.0210%9 Oct →
dust24–130.0231%9 Oct →
inferno11–130.0031%9 Oct →
mirage13–8-0.0429%9 Oct →
anubis13–90.0140%9 Oct →
nuke13–110.0626%9 Oct →
dust211–13-0.0019%9 Oct →
cache3–130.0320%8 Oct →
nuke13–2-0.0037%8 Oct →
anubis11–130.0122%8 Oct →
nuke4–13-0.0316%7 Oct →
dust210–13-0.0624%7 Oct →
ancient13–110.0725%6 Oct →
cache16–130.0028%5 Oct →
mirage7–13-0.0414%5 Oct →
nuke2–13-0.1224%4 Oct →
nuke13–10-0.0223%3 Oct →
mirage13–70.0323%3 Oct →
nuke13–100.0316%3 Oct →
cache13–10-0.0423%3 Oct →
dust213–8-0.0235%3 Oct →
cache5–13-0.1010%3 Oct →
dust211–130.0421%3 Oct →
mirage10–13-0.0722%3 Oct →
mirage13–11-0.0413%3 Oct →
ancient11–13-0.1023%2 Oct →
nuke11–13-0.0010%2 Oct →
nuke11–13-0.0331%2 Oct →
mirage13–8-0.0027%2 Oct →
nuke13–7-0.0513%2 Oct →
ancient13–10-0.0312%30 Sept →
cache13–90.0514%29 Sept →
mirage9–13-0.0129%29 Sept →
mirage9–13-0.0118%29 Sept →
anubis15–15-0.0325%28 Sept →
inferno10–13-0.0819%28 Sept →
ancient2–13-0.0426%28 Sept →
nuke13–5-0.0319%28 Sept →
ancient13–10-0.0016%28 Sept →
cache16–13-0.0317%27 Sept →
ancient13–5-0.045%27 Sept →
dust213–9-0.1025%27 Sept →
dust27–13-0.0919%27 Sept →
ancient6–13-0.0319%27 Sept →
mirage11–13-0.0514%27 Sept →
mirage13–16-0.0618%27 Sept →
anubis9–13-0.0231%27 Sept →
inferno6–13-0.0436%27 Sept →
mirage8–13-0.0229%26 Sept →
mirage6–13-0.0340%26 Sept →
mirage13–11-0.0026%26 Sept →
inferno13–30.1029%26 Sept →
nuke11–13-0.0718%24 Sept →
mirage13–40.0121%24 Sept →
mirage13–9-0.0220%24 Sept →
ancient13–30.0218%24 Sept →
cache15–150.0723%24 Sept →
nuke13–90.0320%23 Sept →
anubis13–7-0.0228%23 Sept →
dust24–13-0.0424%23 Sept →
anubis4–130.0328%23 Sept →
mirage13–16-0.0624%22 Sept →
ancient15–15-0.0226%22 Sept →
nuke13–9-0.0520%22 Sept →
inferno7–13-0.0623%21 Sept →
mirage5–130.0426%21 Sept →
cache13–9-0.0531%21 Sept →
inferno13–160.0233%21 Sept →
cache11–13-0.0332%20 Sept →
cache13–50.0156%20 Sept →
mirage13–3-0.0716%20 Sept →
nuke13–5-0.0430%20 Sept →
mirage13–11-0.0421%20 Sept →
anubis13–16-0.0323%20 Sept →
cache8–13-0.0540%20 Sept →
anubis13–4-0.0422%20 Sept →
dust213–6-0.0125%20 Sept →
mirage1–13-0.0546%20 Sept →
ancient9–130.0435%20 Sept →

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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