Flade

Flade — CS2 Stats

76561198097742039[U:1:137476311]Steam profile ↗✓ No bans

1,657Tracked matches27%Win rate2020Tracked since
3,436Hours in CS
CSDB Rating5.3 DevelopingSupport
Premier CS Rating20,298Top 50% of 213,399 CSDB-tracked playersPink band · top ~8.2% of ranked players (population est.)
CSDB Leaderboard#79368 of 259985 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 2026 (15 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

Premier CS Rating: 20,298 -1,438 6 Mar – 21 Oct · 23 days played
19,62725,104peak 25,1046 Mar21 Oct
25,104Peak Premier in tracked matches
26Days played since 2026-03-06

Premier CS Rating

  • 4,806 below peak (25,104)
  • -4,382 over 90 days
  • Next: Red band at 25,000 — 4,702 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-06
  • Purple band first seen 2026-09-06

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate53.1%46.9%49.3%above
Shot accuracy18.6%13.0%13.4%above
Kill/death ratio1.271.081.12above
Match win rate41.2%46.7%48.5%7.3% short

This profile matches the typical Red band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGFladePREMIER20,298 · Pink 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

Aim64
Positioning53
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateLWLWWLLLWW

Last 10 vs previous 10: +50pp win rate · +0.02 avg rating · +6.0pp headshot accuracy · −92ms reaction

Win rate up 50pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 25%
  • Avg reaction 544ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 29%
  • Avg reaction 536ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 26%
  • Avg reaction 582ms

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 (+2.7 against its own average).

Aim6.4
Utility6.6
Positioning5.3
Opening Duels2.6
Clutch1.2

Strong CT-side opener

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

Twistzz

Plays most like Twistzz 80% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 50% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.4
Positioning5.3
Utility6.6
Mechanics6.2
Opening Duels3.2
Win Impact0.0

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time582ms+15ms
first ⅓ avg 567ms → last ⅓ avg 582ms
Headshot accuracy26.0%−0.6%
first ⅓ avg 26.6% → last ⅓ avg 26.0%

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

0.15Best match rating · 13–6 · nuke, 28 Mar →
54%Best headshot accuracy · 7–13 · cache, 12 Oct →
383msFastest reaction time · 13–2 · inferno, 30 May →
13–1Biggest win · mirage, 9 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
9–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 59% over 17ancientWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
infernoB2815–1354%0.01
nukeB178–947%0.02
mirageA1710–759%-0.01
cacheB168–850%0.00
ancientD133–1023%-0.01
dust2B84–450%0.01
overpass—10–10%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

270,961Lifetime kills
1.27K/D · Top 25% of Pink band
10,949Matches
41.2%Match win rate
53.1%Headshot % · Top 25% of Pink band
18.6%Shot accuracy · Top 10% of Pink band
26,848MVPs
3,436Hours (in match)
5,217Bombs planted
2,564Bombs defused

Most-used weapons

AK-4770,505
AWP41,915
P2507,886
SSG 085,146
UMP-454,460
P904,224

Lifetime map wins

9,423inferno
6,496dust2
5,540vertigo
4,319nuke
2,183train
1,689lake
1,678bank
1,363safehouse

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

Faceit stats

Combat

1,295Matches
51%Win rate
1.16Avg K/D
75.2ADR
55%Headshot %

Clutches & streaks

26%1v1 clutch win
17%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2759%1.2316.4
Ancient1953%1.3715.7
Nuke1127%0.9917.6
Vertigo1080%1.6020.4
Inferno956%1.3019.0
Anubis771%0.9712.9
Dust2540%0.8616.2
Train580%1.1519.2

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

25.7%Headshot accuracy
29.4%Accuracy (enemy spotted)
32.8%Spray accuracy
77.7%Counter-strafing
10.8°Preaim
583msReaction time
35.1%T opening success
50.5%CT opening success
0.63Enemies flashed / flash
8.1%Flash assists
12.34HE damage / grenade
10.52Flashes / 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

    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 35.0887% — below the 40% mark we flag

Spend your practice time on Ancient

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke7–130.0119%21 Oct →
cache13–110.0227%21 Oct →
mirage7–13-0.0423%19 Oct →
inferno13–100.0024%19 Oct →
inferno13–100.0333%19 Oct →
cache3–130.0529%15 Oct →
cache7–130.0254%12 Oct →
mirage8–13-0.0238%12 Oct →
cache13–6-0.0138%12 Oct →
mirage13–80.019%11 Oct →
nuke4–130.0323%11 Oct →
inferno8–13-0.0025%11 Oct →
dust210–130.0317%11 Oct →
cache2–130.0415%11 Oct →
ancient4–13-0.0440%9 Oct →
ancient9–13-0.0623%12 Sept →
nuke10–13-0.0718%12 Sept →
inferno13–16-0.0125%25 Jul →
inferno14–16-0.0316%25 Jul →
cache10–13-0.0434%25 Jul →
ancient6–13-0.0218%25 Jul →
cache13–7-0.0029%25 Jul →
inferno8–130.0022%25 Jul →
inferno13–100.1123%25 Jul →
dust21–13-0.0635%25 Jul →
mirage8–13-0.0237%21 Jul →
mirage10–13-0.0121%21 Jul →
ancient8–13-0.1023%21 Jul →
mirage7–13-0.0527%21 Jul →
cache13–110.0518%20 Jul →
nuke16–140.0122%20 Jul →
inferno13–70.0620%12 Jul →
cache13–80.0333%12 Jul →
nuke13–80.0014%12 Jul →
ancient5–13-0.0132%12 Jul →
cache16–12-0.0027%10 Jul →
nuke13–100.0424%9 Jul →
cache6–130.0248%9 Jul →
inferno13–60.0232%9 Jul →
cache4–130.0019%9 Jul →
cache8–13-0.0115%9 Jul →
inferno13–20.1528%9 Jul →
inferno4–13-0.0117%9 Jul →
mirage13–1-0.0029%9 Jul →
cache13–1-0.0140%9 Jul →
nuke6–130.0619%9 Jul →
mirage13–110.0825%9 Jul →
nuke13–1-0.0113%9 Jul →
cache7–13-0.0323%7 Jul →
cache13–10-0.0817%7 Jul →
ancient10–130.0534%5 Jul →
dust213–70.0430%5 Jul →
inferno13–60.0125%5 Jul →
mirage13–7-0.0930%5 Jul →
mirage10–13-0.0433%5 Jul →
dust27–130.0117%5 Jul →
inferno9–13-0.0517%5 Jul →
mirage13–90.1133%4 Jul →
nuke16–130.0224%4 Jul →
dust213–70.0035%30 Jun →
ancient13–40.0126%30 Jun →
overpass11–13-0.0430%30 Jun →
mirage13–11-0.0515%30 Jun →
ancient4–13-0.0026%30 Jun →
dust213–20.0631%30 Jun →
nuke2–13-0.1035%30 Jun →
inferno7–13-0.0131%5 Jun →
mirage13–60.0336%5 Jun →
nuke10–130.1137%5 Jun →
ancient13–90.0622%5 Jun →
inferno11–130.0137%30 May →
nuke10–13-0.0433%30 May →
inferno13–2-0.0133%30 May →
ancient13–30.0118%30 May →
inferno13–11-0.0134%30 May →
nuke8–13-0.0121%15 May →
nuke9–130.0029%15 May →
ancient11–130.0231%15 May →
inferno13–70.0330%24 Apr →
mirage13–100.0016%24 Apr →
inferno13–5-0.0239%24 Apr →
inferno13–100.0335%28 Mar →
nuke13–60.1530%28 Mar →
mirage13–11-0.0624%28 Mar →
nuke13–8-0.0026%28 Mar →
inferno11–13-0.0528%28 Mar →
ancient3–13-0.0520%28 Mar →
dust213–90.0022%28 Mar →
inferno13–110.018%21 Mar →
mirage13–100.0014%20 Mar →
dust27–130.0120%20 Mar →
inferno9–130.0121%20 Mar →
ancient7–13-0.0433%20 Mar →
inferno13–5-0.0217%20 Mar →
inferno13–110.0225%14 Mar →
inferno8–80.0732%14 Mar →
inferno8–8-0.0132%14 Mar →
inferno7–9-0.0110%14 Mar →
mirage8–13-0.0020%6 Mar →
nuke13–70.0944%6 Mar →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.