florpe

florpe — CS2 Stats

76561199361551556[U:1:1401285828]Steam profile ↗✓ No bans

120Tracked matches54%Win rate2022Tracked since
CSDB Rating4.0 DevelopingPositional Player
Premier CS Rating10,586Blue band · top ~51.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (19 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

10,586Peak Premier in tracked matches
42Days played since 2023-03-22

Premier CS Rating

  • At peak — 10,586
  • Next: Purple band at 15,000 — 4,414 to go
  • Reached: Blue band · Light Blue band

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

Share this profile

CSDB.GGflorpePREMIER10,586 · Blue bandcsdb.gg/stats

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Performance scores

Aim52
Positioning36
Utility16

0–100 skill scores via Leetify.

Recent form

STEADY48–43–9Last 10048%Win rateWTLWLLWWTL

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −2.6pp headshot accuracy · −13ms reaction

Win rate down 30pp 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 9%
  • Avg reaction 623ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 609ms

Last 20

  • 11–6–3 · 55% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 615ms

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 (+1.7 against its own average).

Aim5.2
Utility1.6
Positioning3.6
Opening Duels0.4

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

ropz

Plays most like ropz 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 607ms 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

Aim5.2
Positioning3.6
Utility1.6
Mechanics6.0
Opening Duels1.3
Win Impact6.3

Composite 4.0/10 (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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time612ms−91ms
first ⅓ avg 704ms → last ⅓ avg 612ms
Headshot accuracy12.2%−2.9%
first ⅓ avg 15.2% → last ⅓ avg 12.2%

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

0.10Best match rating · 13–2 · mirage, 30 Aug →
100%Best headshot accuracy · 9–1 · overpass, 23 Jul →
453msFastest reaction time · 13–5 · ancient, 23 Aug →
13–2Biggest win · dust2, 25 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–7In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 62% over 13infernoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB4219–2345%-0.04
ancientA138–562%-0.04
infernoC114–736%-0.05
dust2A95–456%-0.01
anubisC94–544%-0.06
cacheC52–340%-0.05
overpassC52–340%-0.04
nuke—31–233%-0.06
office—22–0100%-0.00
vertigo—11–0100%0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). 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.

11.9%Headshot accuracy
32.4%Accuracy (enemy spotted)
30.7%Spray accuracy
76.8%Counter-strafing
9.0°Preaim
607msReaction time
38.5%T opening success
32.0%CT opening success
0.27Enemies flashed / flash
0.0%Flash assists
5.71HE damage / grenade
2.29Flashes / 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 11.9295% — below the 15% mark we flag

    Aim Training →
  2. 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 0.2681 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 38.4899% — below the 40% mark we flag

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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.0913%26 Sept →
mirage12–12-0.072%26 Sept →
mirage7–13-0.110%26 Sept →
dust213–20.0120%25 Sept →
ancient5–13-0.0612%25 Sept →
mirage8–13-0.037%25 Sept →
ancient13–9-0.0613%22 Sept →
cache13–4-0.0419%22 Sept →
mirage12–12-0.0622%21 Sept →
ancient10–13-0.036%20 Sept →
anubis7–13-0.089%20 Sept →
mirage4–13-0.0819%18 Sept →
ancient13–9-0.0310%17 Sept →
inferno13–5-0.0117%17 Sept →
nuke15–15-0.078%3 Sept →
mirage13–4-0.028%2 Sept →
dust213–40.0315%2 Sept →
inferno13–4-0.0122%2 Sept →
dust213–40.0217%2 Sept →
dust213–2-0.0314%2 Sept →
anubis11–13-0.074%2 Sept →
mirage13–9-0.0811%2 Sept →
cache13–11-0.0616%31 Aug →
mirage5–13-0.076%31 Aug →
mirage6–13-0.0517%30 Aug →
mirage13–20.109%30 Aug →
ancient8–13-0.0617%29 Aug →
mirage12–12-0.058%29 Aug →
ancient10–13-0.0416%29 Aug →
cache5–13-0.0714%27 Aug →
dust213–4-0.0017%27 Aug →
anubis13–7-0.078%26 Aug →
mirage13–8-0.0412%25 Aug →
inferno6–13-0.085%24 Aug →
mirage13–3-0.039%24 Aug →
mirage8–13-0.058%24 Aug →
anubis5–13-0.1310%24 Aug →
ancient5–1-0.060%24 Aug →
mirage4–13-0.0018%24 Aug →
cache5–13-0.055%23 Aug →
ancient13–5-0.039%23 Aug →
mirage13–100.0021%23 Aug →
inferno12–12-0.0811%19 Aug →
mirage13–10-0.0716%19 Aug →
inferno8–13-0.083%18 Aug →
dust26–13-0.0513%18 Aug →
mirage13–7-0.0314%18 Aug →
mirage12–12-0.095%18 Aug →
mirage13–60.026%18 Aug →
mirage10–13-0.0810%18 Aug →
dust21–13-0.0833%18 Aug →
inferno5–13-0.0913%17 Aug →
mirage13–11-0.0311%17 Aug →
inferno12–12-0.0321%17 Aug →
mirage13–9-0.064%17 Aug →
ancient10–13-0.0313%17 Aug →
ancient13–7-0.0310%16 Aug →
mirage1–13-0.119%16 Aug →
anubis13–4-0.0316%16 Aug →
mirage13–10-0.0613%1 Aug →
mirage7–2-0.0817%1 Aug →
anubis8–13-0.1014%23 Jul →
office6–0-0.037%14 Jan →
overpass6–13-0.076%10 Jan →
mirage13–90.0619%10 Jan →
inferno1–60.0323%10 Jan →
ancient13–8-0.0513%7 Jan →
inferno11–13-0.149%14 Jul →
office9–60.0310%23 Jul →
ancient9–30.0514%23 Jul →
vertigo9–50.1023%23 Jul →
nuke9–7-0.0811%23 Jul →
mirage9–2-0.029%23 Jul →
inferno9–0-0.010%23 Jul →
overpass9–1-0.01100%23 Jul →
overpass7–9-0.0424%23 Jul →
anubis9–6-0.017%23 Jul →
overpass8–8-0.077%12 Jul →
overpass16–9-0.034%12 Jul →
anubis9–6-0.0511%12 Jul →
cache7–9-0.0327%11 Jul →
anubis7–9-0.025%11 Jul →
nuke3–9-0.0415%7 Jun →
inferno9–3-0.0627%5 Jun →
mirage4–9-0.0316%21 May →
mirage6–9-0.028%17 May →
mirage1–9-0.0811%12 Apr →
mirage4–9-0.0911%10 Apr →
dust22–9-0.0433%2 Apr →
mirage7–9-0.0122%1 Apr →
mirage9–10.029%1 Apr →
mirage5–9-0.0714%1 Apr →
mirage2–9-0.0323%28 Mar →
dust28–80.0410%28 Mar →
mirage9–40.102%27 Mar →
mirage9–5-0.018%27 Mar →
mirage2–9-0.180%25 Mar →
mirage2–9-0.156%25 Mar →
mirage9–70.0615%22 Mar →
mirage7–90.0712%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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