PowerFlower

PowerFlower — CS2 Stats

DE76561199127686611[U:1:1167420883]Steam profile ↗✓ No bans

392Tracked matches50%Win rate2021Tracked since
CSDB Rating6.2 SolidPositional Player
Premier CS Rating18,430Purple band · top ~14.7% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 18,430 → 18,430
+2Tracked matches · now 392
0.0ppWin rate · 50.0% → 50.0%

Rating over time

Premier CS Rating: 18,430 +3,871 20 Aug – 24 Oct · 14 days played
14,55920,108peak 20,10820 Aug24 Oct
20,108Peak Premier in tracked matches
26Days played since 2026-07-24

Premier CS Rating

  • 1,678 below peak (20,108)
  • Next: Pink band at 20,000 — 1,570 to go
  • Reached: Pink band · Purple band · 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.GGPowerFlowerPREMIER18,430 · Purple bandcsdb.gg/stats

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Performance scores

Aim75
Positioning54
Utility52

0–100 skill scores via Leetify.

Recent form

COLD49–45–6Last 10049%Win rateLWLLLLLWLL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +2.7pp headshot accuracy · −24ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 27%
  • Avg reaction 528ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 584ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 597ms

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 (+1.1 against its own average).

Aim7.5
Utility5.2
Positioning5.4
Opening Duels2.2

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

NiKo

Plays most like NiKo 93% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim 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

Reaction time. 573ms 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

Aim7.5
Positioning5.4
Utility5.2
Mechanics8.1
Opening Duels3.5
Win Impact5.0

Composite 6.2/10 (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 rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time584ms−59ms
first ⅓ avg 642ms → last ⅓ avg 584ms
Headshot accuracy20.1%−1.0%
first ⅓ avg 21.1% → last ⅓ avg 20.1%

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

0.23Best match rating · 9–6 · inferno, 7 Sept →
50%Best headshot accuracy · 10–13 · mirage, 28 Aug →
344msFastest reaction time · 13–6 · anubis, 24 Oct →
13–1Biggest win · mirage, 7 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
3–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 75% over 12overpassWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoC2511–1444%0.02
anubisB168–850%0.02
cacheS1510–567%0.01
ancientB126–650%0.01
dust2S129–375%-0.00
mirageD92–722%-0.01
overpassD51–420%-0.01
nukeD51–420%0.01
train—11–0100%0.03

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass 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.

20.3%Headshot accuracy
32.9%Accuracy (enemy spotted)
37.0%Spray accuracy
86.6%Counter-strafing
10.0°Preaim
573msReaction time
43.2%T opening success
45.1%CT opening success
0.40Enemies flashed / flash
8.1%Flash assists
10.94HE damage / grenade
8.51Flashes / 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 0.3996 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Overpass

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis7–130.0928%24 Oct →
anubis13–60.1324%24 Oct →
inferno4–130.0436%13 Oct →
cache8–130.0117%13 Oct →
inferno7–90.0328%13 Oct →
inferno4–9-0.0511%13 Oct →
anubis7–130.0218%11 Oct →
train13–70.0311%11 Oct →
anubis8–13-0.059%4 Oct →
mirage8–13-0.0231%4 Oct →
inferno7–130.0119%3 Oct →
inferno4–13-0.0412%3 Oct →
inferno8–80.0319%3 Oct →
inferno8–80.0416%3 Oct →
overpass9–50.1222%3 Oct →
ancient13–110.0312%9 Sept →
ancient13–100.0018%9 Sept →
inferno10–130.0618%9 Sept →
anubis6–130.0030%9 Sept →
cache13–50.0222%9 Sept →
anubis13–70.0229%9 Sept →
dust213–9-0.059%7 Sept →
dust216–130.0120%7 Sept →
mirage13–10.0121%7 Sept →
ancient7–13-0.0122%7 Sept →
cache13–50.0827%7 Sept →
ancient13–10.0839%7 Sept →
overpass7–90.0030%7 Sept →
inferno9–60.2317%7 Sept →
anubis13–90.0113%6 Sept →
dust213–3-0.0417%6 Sept →
anubis13–40.0012%6 Sept →
dust28–13-0.0510%6 Sept →
dust23–13-0.0415%6 Sept →
cache13–90.0331%6 Sept →
ancient11–130.0029%5 Sept →
mirage4–13-0.0220%5 Sept →
mirage13–7-0.0530%5 Sept →
cache6–13-0.0421%5 Sept →
inferno9–50.0918%5 Sept →
inferno8–8-0.0717%5 Sept →
ancient5–130.0423%3 Sept →
cache16–120.0135%3 Sept →
cache13–40.0540%3 Sept →
anubis10–13-0.0724%3 Sept →
anubis14–160.0017%3 Sept →
dust213–90.0538%2 Sept →
mirage12–16-0.0415%2 Sept →
dust213–40.0222%2 Sept →
ancient13–40.0625%2 Sept →
anubis6–130.0211%2 Sept →
inferno13–160.0214%1 Sept →
cache6–10.0221%30 Aug →
cache10–13-0.0810%30 Aug →
overpass5–90.0230%30 Aug →
dust213–100.0322%30 Aug →
cache8–130.0217%30 Aug →
inferno9–6-0.0323%30 Aug →
inferno3–13-0.0411%29 Aug →
dust215–150.0419%29 Aug →
inferno11–20.2133%29 Aug →
inferno13–60.1033%29 Aug →
inferno12–12-0.0021%29 Aug →
ancient13–6-0.0011%28 Aug →
mirage10–130.0150%28 Aug →
anubis13–30.1327%28 Aug →
cache13–70.0541%28 Aug →
nuke14–160.0011%28 Aug →
cache13–30.0341%28 Aug →
cache13–80.0117%28 Aug →
inferno13–80.0217%27 Aug →
dust213–80.0624%27 Aug →
ancient8–130.0114%27 Aug →
inferno13–50.0721%25 Aug →
nuke9–10.137%25 Aug →
anubis13–100.0522%20 Aug →
inferno13–50.0335%20 Aug →
anubis13–8-0.0114%19 Aug →
ancient5–13-0.0312%19 Aug →
mirage8–130.0127%19 Aug →
inferno7–13-0.0430%19 Aug →
dust213–110.0627%12 Aug →
inferno9–5-0.0125%12 Aug →
inferno13–10-0.0122%11 Aug →
mirage8–13-0.0425%11 Aug →
nuke6–13-0.0210%11 Aug →
cache2–13-0.0420%9 Aug →
overpass8–80.0424%9 Aug →
inferno9–3-0.0827%9 Aug →
overpass0–9-0.2325%9 Aug →
nuke10–130.0120%9 Aug →
ancient5–13-0.0910%8 Aug →
mirage12–160.0218%30 Jul →
dust213–11-0.0914%30 Jul →
anubis2–13-0.098%26 Jul →
nuke8–13-0.0628%26 Jul →
inferno13–16-0.0429%26 Jul →
cache13–100.0032%24 Jul →
ancient13–8-0.0220%24 Jul →
anubis13–7-0.0220%24 Jul →

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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