FlickShift

FlickShift — CS2 Stats

BW76561198404682229[U:1:444416501]Steam profile ↗✓ No bans

1,027Tracked matches38%Win rate2022Tracked since
CSDB Rating4.8 DevelopingSupport
Premier CS Rating11,468Blue band · top ~47.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Oct 2026 (26 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,027 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 11,468 +2,857 13 Jul – 19 Oct · 35 days played
8,61114,754peak 14,75413 Jul19 Oct
14,999Peak Premier in tracked matches
30Days played since 2026-07-13

Premier CS Rating

  • 3,286 below peak (14,754)
  • 0 over 30 days · steady
  • -1,871 over 90 days
  • Next: Purple band at 15,000 — 3,532 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-31
  • Light Blue band first seen 2026-08-31

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

Share this profile

CSDB.GGFlickShiftPREMIER11,468 · Blue bandcsdb.gg/stats

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Performance scores

Aim76
Positioning42
Utility43

0–100 skill scores via Leetify.

Recent form

COLD51–45–4Last 10051%Win rateLLLLLLLTLW

Last 10 vs previous 10: −50pp win rate · −0.06 avg rating · −4.1pp headshot accuracy · −31ms reaction

Win rate down 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

  • 0–5 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 6%
  • Avg reaction 572ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 9%
  • Avg reaction 577ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 592ms

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 (+1.4 against its own average).

Aim7.6
Utility4.3
Positioning4.2
Opening Duels0.2

Effective flashesLimited 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 94% 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

Strengths

Flashes. 0.87 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

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

Reaction time. 591ms 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

Aim7.6
Positioning4.2
Utility4.3
Mechanics7.7
Opening Duels0.3
Win Impact1.0

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-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time595ms−3ms
first ⅓ avg 598ms → last ⅓ avg 595ms
Headshot accuracy11.1%−4.5%
first ⅓ avg 15.5% → last ⅓ avg 11.1%

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

0.14Best match rating · 13–3 · anubis, 13 Jul →
34%Best headshot accuracy · 13–7 · inferno, 14 Jul →
391msFastest reaction time · 3–9 · debris, 15 Jul →
13–2Biggest win · cache, 31 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L7Current streak
10–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 67% over 6infernoWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
mirageB2714–1352%0.01
anubisA2112–957%0.01
infernoD175–1229%-0.04
cacheS1711–665%0.01
dust2S64–267%0.01
nuke—43–175%0.00
debris—31–233%-0.05
ancient—31–233%0.01
overpass—10–10%-0.06
eldorado—10–10%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 17). 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.

11.6%Headshot accuracy
40.8%Accuracy (enemy spotted)
42.6%Spray accuracy
84.7%Counter-strafing
10.2°Preaim
591msReaction time
25.5%T opening success
32.5%CT opening success
0.87Enemies flashed / flash
1.5%Flash assists
11.15HE damage / grenade
3.27Flashes / 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 11.573% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.2663 — below the 4 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 25.5228% — 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.

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage7–13-0.052%9 Sept →
mirage11–130.085%8 Sept →
inferno7–13-0.090%8 Sept →
cache6–13-0.0315%7 Sept →
inferno2–9-0.138%7 Sept →
debris2–9-0.2617%7 Sept →
mirage9–13-0.046%5 Sept →
inferno15–150.0519%4 Sept →
cache7–13-0.017%4 Sept →
anubis13–50.0110%31 Aug →
cache13–20.0410%31 Aug →
mirage13–90.0527%31 Aug →
inferno0–13-0.063%30 Aug →
anubis13–20.018%30 Aug →
anubis9–130.019%29 Aug →
inferno13–30.0417%29 Aug →
mirage13–70.0117%26 Aug →
mirage10–13-0.0114%23 Aug →
cache13–100.0216%23 Aug →
inferno3–13-0.029%16 Aug →
mirage13–110.0315%16 Aug →
mirage6–13-0.0614%16 Aug →
mirage8–13-0.0112%14 Aug →
inferno14–160.0114%13 Aug →
inferno9–130.0411%9 Aug →
mirage9–130.039%9 Aug →
anubis16–12-0.0017%9 Aug →
ancient10–13-0.034%8 Aug →
cache8–13-0.045%8 Aug →
cache13–5-0.0117%8 Aug →
cache14–160.0116%8 Aug →
mirage16–14-0.019%8 Aug →
dust213–80.013%8 Aug →
anubis13–70.0523%8 Aug →
ancient13–80.032%8 Aug →
anubis13–6-0.015%7 Aug →
mirage16–14-0.0218%5 Aug →
cache7–13-0.0413%4 Aug →
anubis13–8-0.0513%3 Aug →
anubis14–16-0.026%29 Jul →
mirage13–9-0.0611%28 Jul →
mirage6–13-0.017%25 Jul →
dust210–13-0.077%25 Jul →
mirage8–130.0017%20 Jul →
anubis13–50.0416%20 Jul →
mirage11–130.0321%20 Jul →
dust23–13-0.0118%20 Jul →
mirage6–130.0311%20 Jul →
inferno8–8-0.0115%20 Jul →
inferno5–13-0.0716%20 Jul →
cache13–11-0.0310%20 Jul →
anubis11–13-0.0022%20 Jul →
anubis13–160.0416%19 Jul →
mirage13–10-0.0117%19 Jul →
dust213–100.0912%19 Jul →
cache16–14-0.0114%19 Jul →
anubis4–13-0.047%18 Jul →
anubis13–8-0.077%18 Jul →
anubis9–13-0.0022%17 Jul →
mirage14–160.0111%17 Jul →
nuke1–13-0.098%17 Jul →
mirage13–20.1033%17 Jul →
dust213–90.0110%17 Jul →
anubis13–100.0312%17 Jul →
inferno9–7-0.0118%17 Jul →
inferno1–9-0.210%17 Jul →
inferno12–2-0.0221%16 Jul →
cache13–60.047%16 Jul →
cache13–70.0417%16 Jul →
mirage13–7-0.034%16 Jul →
anubis13–110.0214%16 Jul →
cache13–70.0623%16 Jul →
mirage13–90.0615%16 Jul →
ancient11–130.0310%15 Jul →
mirage13–9-0.008%15 Jul →
debris9–20.136%15 Jul →
overpass8–8-0.0611%15 Jul →
inferno2–9-0.196%15 Jul →
debris3–9-0.0228%15 Jul →
anubis4–13-0.0415%15 Jul →
mirage13–110.0315%15 Jul →
cache13–70.1229%15 Jul →
anubis11–13-0.0531%15 Jul →
cache13–80.0715%14 Jul →
nuke13–3-0.0013%14 Jul →
mirage13–30.0914%14 Jul →
inferno13–70.0034%14 Jul →
cache9–13-0.0317%14 Jul →
nuke13–50.0716%14 Jul →
nuke13–50.0320%14 Jul →
mirage13–30.0615%14 Jul →
dust213–100.0416%13 Jul →
anubis13–30.1411%13 Jul →
cache13–11-0.0114%13 Jul →
inferno10–13-0.0218%13 Jul →
eldorado8–8-0.0819%13 Jul →
mirage5–130.0223%13 Jul →
inferno13–110.0210%13 Jul →
anubis13–30.148%13 Jul →
anubis8–130.0011%13 Jul →

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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