Flodo

Flodo — CS2 Stats

CH76561198039797884[U:1:79532156]Steam profile ↗✓ No bans

277Tracked matches44%Win rate2021Tracked since
451Hours in CS
CSDB Rating4.8 DevelopingSupport
Premier CS Rating10,380Blue band · top ~52.9% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (56 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 277 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 10,380 -1,273 22 Mar – 1 Sept · 20 days played
10,19515,213peak 15,21322 Mar1 Sept
15,213Peak Premier in tracked matches
23Days played since 2026-03-22

Premier CS Rating

  • 4,833 below peak (15,213)
  • 0 over 30 days · steady
  • -2,899 over 90 days
  • Next: Purple band at 15,000 — 4,620 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-01
  • Light 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.

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=6,128), 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 2 medianLevel 3 medianvs Level 3
Headshot rate35.7%41.3%41.8%6.1% short
Shot accuracy16.5%12.7%12.2%above
Kill/death ratio0.930.950.980.05 short
Match win rate40.5%42.6%43.3%2.7% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFlodoFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER10,380 · Blue 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

Aim65
Positioning39
Utility64

0–100 skill scores via Leetify.

Recent form

COLD45–47–8Last 10045%Win rateLWWLLLTWLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −4.0pp headshot accuracy · +45ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 7%
  • Avg reaction 583ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 575ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 553ms

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: Support — Utility contribution stands above the rest of this profile (+2.9 against its own average).

Aim6.5
Utility6.4
Positioning3.9
Opening Duels0.1

Effective flashes

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

ZywOo

Plays most like ZywOo 73% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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

T-side openings. Opening success drops from 36% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 557ms 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

Aim6.5
Positioning3.9
Utility6.4
Mechanics6.2
Opening Duels0.8
Win Impact3.1

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time550ms−39ms
first ⅓ avg 589ms → last ⅓ avg 550ms
Headshot accuracy10.5%−0.1%
first ⅓ avg 10.6% → last ⅓ avg 10.5%

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

0.08Best match rating · 13–4 · ancient, 14 May →
27%Best headshot accuracy · 7–13 · ancient, 24 Apr →
344msFastest reaction time · 13–10 · inferno, 19 May →
13–0Biggest win · cache, 21 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
10–6In matches decided by ≤2 rounds
13Overtime games

Map breakdown

mirageBest map · 83% over 6cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB2814–1450%-0.03
ancientC249–1538%-0.02
anubisC177–1041%-0.02
nukeB115–645%0.00
cacheD72–529%-0.02
mirageS65–183%-0.00
overpass—32–167%-0.01
train—31–233%-0.04
vertigo—10–10%-0.01

Across the last 100 tracked matches.

Lifetime stats

20,158Lifetime kills
0.93K/D
1,332Matches
40.5%Match win rate
35.7%Headshot %
16.5%Shot accuracy · Top 25% of Level 2 players
2,678MVPs
451Hours (in match)
1,872Bombs planted
311Bombs defused

Most-used weapons

Lifetime map wins

2,637inferno
675vertigo
530train
383dust2
372nuke
267lake
58cbble
54bank

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

Skill profile

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

10.8%Headshot accuracy
37.5%Accuracy (enemy spotted)
38.2%Spray accuracy
78.0%Counter-strafing
10.5°Preaim
557msReaction time
20.5%T opening success
36.2%CT opening success
0.73Enemies flashed / flash
3.7%Flash assists
10.61HE damage / grenade
8.34Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.8441% — below the 15% mark we flag

    Aim Training →
  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 20.4758% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis10–13-0.0212%30 Jul →
inferno13–11-0.003%30 Jul →
anubis13–7-0.032%30 Jul →
ancient13–16-0.0514%30 Jul →
cache10–130.035%25 Jul →
inferno11–13-0.0316%25 Jul →
anubis15–15-0.0310%25 Jul →
inferno13–5-0.028%25 Jul →
inferno10–13-0.0210%25 Jul →
inferno13–160.028%24 Jul →
nuke13–40.0220%24 Jul →
ancient13–100.0511%24 Jul →
inferno11–130.0211%24 Jul →
ancient6–13-0.037%24 Jul →
inferno15–15-0.0324%24 Jul →
anubis8–13-0.0210%24 Jul →
cache13–0-0.0125%21 Jul →
anubis13–4-0.033%21 Jul →
inferno13–8-0.028%21 Jul →
ancient10–130.0511%21 Jul →
mirage13–10-0.0315%21 Jul →
inferno8–13-0.094%21 Jul →
inferno13–4-0.0710%20 Jul →
cache11–13-0.0214%20 Jul →
ancient13–9-0.0111%20 Jul →
nuke10–13-0.049%20 Jul →
ancient13–9-0.0912%20 Jul →
inferno7–13-0.052%20 Jul →
mirage10–13-0.0514%20 Jul →
cache15–15-0.0314%19 Jul →
cache10–130.018%19 Jul →
ancient13–6-0.0012%16 Jul →
cache4–13-0.065%11 Jul →
anubis8–13-0.078%11 Jul →
anubis15–150.006%11 Jul →
ancient7–13-0.045%11 Jul →
inferno13–40.018%11 Jul →
anubis10–130.018%11 Jul →
cache13–10-0.029%11 Jul →
inferno14–16-0.045%11 Jul →
anubis13–80.007%3 Jul →
nuke10–13-0.033%3 Jul →
inferno16–14-0.033%3 Jul →
inferno5–130.028%3 Jul →
ancient15–150.019%2 Jul →
anubis13–11-0.055%2 Jul →
ancient6–6-0.056%2 Jul →
anubis13–40.0512%2 Jul →
inferno13–4-0.0211%2 Jul →
ancient8–13-0.016%2 Jul →
overpass13–20.062%17 Jun →
mirage13–110.0119%17 Jun →
anubis13–80.007%17 Jun →
ancient6–13-0.0213%17 Jun →
ancient7–13-0.1110%17 Jun →
train1–13-0.0811%17 Jun →
nuke15–15-0.0311%12 Jun →
inferno9–13-0.086%12 Jun →
ancient5–13-0.0416%12 Jun →
inferno13–100.0015%12 Jun →
inferno10–13-0.045%19 May →
ancient13–11-0.0012%19 May →
inferno13–10-0.0315%19 May →
inferno6–13-0.1311%17 May →
ancient8–130.0115%17 May →
ancient13–40.0816%14 May →
overpass13–8-0.036%14 May →
nuke7–13-0.029%14 May →
inferno12–16-0.0113%14 May →
ancient10–130.005%14 May →
inferno13–100.0014%14 May →
nuke13–110.0115%14 May →
ancient6–13-0.095%14 May →
inferno0–13-0.100%14 May →
nuke13–60.0714%12 May →
anubis15–150.0315%12 May →
anubis10–13-0.055%12 May →
anubis13–11-0.069%9 May →
ancient7–13-0.0627%24 Apr →
mirage5–00.0320%24 Apr →
train13–3-0.028%24 Apr →
train11–13-0.037%24 Apr →
inferno13–100.038%24 Apr →
nuke11–13-0.037%24 Apr →
ancient13–11-0.0410%24 Apr →
anubis9–13-0.0010%19 Apr →
inferno13–4-0.0213%19 Apr →
nuke9–130.077%19 Apr →
mirage9–00.016%19 Apr →
overpass7–13-0.045%16 Apr →
inferno13–90.0312%16 Apr →
anubis8–13-0.0414%10 Apr →
ancient12–120.017%10 Apr →
nuke13–9-0.0214%10 Apr →
vertigo10–13-0.018%10 Apr →
mirage13–80.029%10 Apr →
nuke16–120.0212%3 Apr →
ancient13–11-0.0310%3 Apr →
ancient9–13-0.0513%22 Mar →
inferno13–4-0.0321%22 Mar →

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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