FLiCKELANGELO

FLiCKELANGELO — CS2 Stats

76561197965162476[U:1:4896748]Steam profile ↗✓ No bans

3,628Tracked matches47%Win rate2020Tracked since
CSDB Rating5.6 SolidSupport
Premier CS Rating18,869Top 50% of 212,133 CSDB-tracked playersPurple band · top ~13% of ranked players (population est.)
FaceitLevel 8 · 1,567 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−473Premier CS Rating · 19,342 → 18,869

Rating over time

Premier CS Rating: 18,869 +2,088 2 Aug – 31 Oct · 23 days played
15,79119,882peak 19,8822 Aug31 Oct
19,999Peak Premier in tracked matches
1,567Highest Faceit ELO seen on CSDB
33Days played since 2026-08-02

Faceit ELO

  • At peak — 1,567
  • Next: Level 9 at 1,751 — 184 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-14
  • Level 7 first seen 2026-09-14

Premier CS Rating

  • 1,013 below peak (19,882)
  • +71 over 30 days · steady
  • +2,088 over 90 days
  • Next: Pink band at 20,000 — 1,131 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-14
  • Blue band first seen 2026-09-14

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGFLiCKELANGELOFACEITLevel 8 · 1,567 ELOSTANDINGTop 31.2% of rankedPREMIER18,869 · Purple bandPEAK ELO1,567csdb.gg/stats

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Performance scores

Aim65
Positioning53
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY54–46Last 10054%Win rateLWLLWWLLLW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +2.2pp headshot accuracy · +73ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 605ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 587ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 550ms

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 (+1.5 against its own average).

Aim6.5
Utility5.7
Positioning5.3
Opening Duels3.0
Clutch3.0

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

NiKo

Plays most like NiKo 86% 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 60% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

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
Positioning5.3
Utility5.7
Mechanics5.7
Opening Duels4.4
Win Impact3.9

Composite 5.6/10 (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 rating-0.02−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time539ms+3ms
first ⅓ avg 536ms → last ⅓ avg 539ms
Headshot accuracy18.7%+1.7%
first ⅓ avg 17.0% → last ⅓ avg 18.7%

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

0.12Best match rating · 13–11 · dust2, 21 Aug →
38%Best headshot accuracy · 13–5 · dust2, 22 Sept →
391msFastest reaction time · 2–13 · nuke, 3 Sept →
12–0Biggest win · dust2, 1 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–10In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 67% over 15cacheWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
infernoA2012–860%-0.00
nukeB178–947%-0.02
dust2B158–753%0.00
ancientS1510–567%-0.01
cacheC125–742%-0.03
anubisB105–550%-0.02
mirageA95–456%-0.01
train—21–150%-0.04

Across the last 100 tracked matches.

Faceit stats

Combat

1,448Matches
51%Win rate
0.95Avg K/D
78.5ADR
41%Headshot %

Clutches & streaks

35%1v1 clutch win
18%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust218855%0.9014.2
Inferno18753%1.0215.3
Ancient15848%0.8814.1
Anubis11043%0.9014.2
Mirage6545%0.9114.9
Nuke4646%0.9515.8
Overpass4050%0.9315.6
Train2148%0.9313.7

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.

19.0%Headshot accuracy
32.6%Accuracy (enemy spotted)
36.2%Spray accuracy
75.6%Counter-strafing
10.7°Preaim
547msReaction time
35.6%T opening success
59.9%CT opening success
0.53Enemies flashed / flash
2.5%Flash assists
9.22HE damage / grenade
10.18Flashes / 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 35.5754% — 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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno10–13-0.0516%31 Oct →
nuke16–13-0.0211%30 Oct →
mirage7–130.0032%30 Oct →
cache6–13-0.0421%30 Oct →
anubis13–8-0.0416%30 Oct →
mirage13–11-0.0226%30 Oct →
nuke3–13-0.0721%30 Oct →
dust211–13-0.0116%27 Oct →
cache3–13-0.0217%27 Oct →
nuke16–140.0216%26 Oct →
nuke4–13-0.0520%26 Oct →
dust214–160.0027%25 Oct →
ancient3–13-0.0919%25 Oct →
nuke5–13-0.0410%25 Oct →
inferno13–80.0018%23 Oct →
ancient7–13-0.0215%23 Oct →
mirage13–10-0.0310%23 Oct →
nuke11–130.0312%23 Oct →
ancient13–50.0313%23 Oct →
dust213–90.0825%23 Oct →
nuke13–20.0122%23 Oct →
cache13–9-0.0126%23 Oct →
cache13–3-0.0413%23 Oct →
nuke13–9-0.0129%22 Oct →
anubis4–13-0.0322%22 Oct →
inferno4–13-0.0422%15 Oct →
nuke11–13-0.0714%15 Oct →
dust213–30.055%15 Oct →
dust213–30.0033%15 Oct →
dust28–13-0.0623%15 Oct →
inferno13–80.0323%15 Oct →
nuke0–8-0.0820%15 Oct →
anubis13–9-0.055%9 Oct →
cache1–13-0.0423%9 Oct →
ancient13–110.049%9 Oct →
cache5–13-0.0813%8 Oct →
anubis13–11-0.0214%8 Oct →
nuke9–13-0.0325%7 Oct →
inferno13–9-0.0421%2 Oct →
anubis13–90.0516%1 Oct →
dust212–00.0116%1 Oct →
cache6–130.0220%1 Oct →
ancient13–110.0210%1 Oct →
cache13–6-0.0614%1 Oct →
nuke16–130.0517%1 Oct →
nuke13–40.0219%25 Sept →
mirage13–70.0210%25 Sept →
inferno13–50.0331%25 Sept →
ancient11–13-0.0313%22 Sept →
dust24–13-0.0416%22 Sept →
dust213–50.0438%22 Sept →
inferno13–16-0.0117%22 Sept →
ancient13–1-0.0110%22 Sept →
anubis5–13-0.089%22 Sept →
anubis11–130.0111%20 Sept →
inferno13–60.0315%20 Sept →
inferno13–9-0.0718%17 Sept →
inferno13–6-0.0713%17 Sept →
anubis6–13-0.0014%13 Sept →
mirage14–16-0.0015%11 Sept →
inferno11–13-0.0314%11 Sept →
cache7–13-0.0412%11 Sept →
inferno13–70.0321%11 Sept →
inferno11–13-0.0415%4 Sept →
nuke9–130.0116%4 Sept →
anubis13–90.0014%3 Sept →
nuke2–130.0015%3 Sept →
inferno6–50.0410%3 Sept →
dust23–13-0.0510%24 Aug →
ancient6–13-0.093%23 Aug →
inferno13–70.0721%23 Aug →
ancient13–60.0920%23 Aug →
mirage13–7-0.0119%23 Aug →
train9–130.0220%22 Aug →
cache4–13-0.0731%22 Aug →
ancient13–90.0519%22 Aug →
inferno7–13-0.0511%21 Aug →
mirage13–10-0.0214%21 Aug →
dust29–13-0.0616%21 Aug →
dust213–110.1212%21 Aug →
anubis10–13-0.0312%18 Aug →
cache13–100.0718%16 Aug →
ancient6–13-0.008%16 Aug →
ancient13–8-0.0215%16 Aug →
mirage6–13-0.0414%16 Aug →
inferno10–130.0015%16 Aug →
nuke13–4-0.0136%15 Aug →
train13–3-0.1122%15 Aug →
inferno13–7-0.0022%15 Aug →
ancient13–6-0.1114%15 Aug →
cache13–8-0.0419%15 Aug →
nuke13–8-0.0212%14 Aug →
dust213–7-0.0419%11 Aug →
dust28–130.0414%11 Aug →
inferno13–90.0615%9 Aug →
ancient13–30.0328%9 Aug →
mirage4–130.0417%9 Aug →
inferno11–130.0224%7 Aug →
ancient13–6-0.0116%2 Aug →
dust213–6-0.0217%2 Aug →

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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