motoculteur pick - stick

motoculteur pick - stick — CS2 Stats

HR76561197996150818[U:1:35885090]Steam profile ↗✓ No bans

569Tracked matches43%Win rate2020Tracked since
CSDB Rating5.9 SolidSupport
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (23 days ago). Ranks are recorded once per day this page is viewed.

+14Tracked matches · now 569
−13.8ppWin rate · 57.1% → 43.3%

Rating over time

Premier CS Rating: 17,804 +1,160 1 Mar – 9 Mar · 3 days played
16,64417,804peak 17,8041 Mar9 Mar
17,804Peak Premier in tracked matches
49Days played since 2025-02-23

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

Share this profile

CSDB.GGmotoculteur pick - stickFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim72
Positioning59
Utility59

0–100 skill scores via Leetify.

Recent form

COLD46–46–8Last 10046%Win rateLLLLLLWLLW

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +2.6pp headshot accuracy · +40ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 581ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 571ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 551ms

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 (+1.9 against its own average).

Aim7.2
Utility5.9
Positioning5.9
Opening Duels3.3
Clutch1.0

Effective flashes

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

ZywOo

Plays most like ZywOo 89% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Strengths

Flashes. 0.93 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 564ms 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

Aim7.2
Positioning5.9
Utility5.9
Mechanics7.3
Opening Duels2.7
Win Impact2.8

Composite 5.9/10 (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 rating0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time555ms−38ms
first ⅓ avg 594ms → last ⅓ avg 555ms
Headshot accuracy15.4%+2.9%
first ⅓ avg 12.5% → last ⅓ avg 15.4%

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

0.13Best match rating · 4–5 · dust2, 28 Jul →
33%Best headshot accuracy · 13–3 · dust2, 10 Sept →
281msFastest reaction time · 0–2 · dust2, 19 Sept →
13–0Biggest win · mirage, 26 Feb →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L6Current streak
9–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 50% over 36infernoWeakest map · 40% over 20
MapGradePlayedRecordWin rateAvg rating
dust2B3618–1850%0.02
mirageB2814–1450%0.04
infernoC208–1240%0.01
nukeC94–544%-0.02
anubis—41–325%-0.02
cache—21–150%0.03
ancient—10–10%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

444Matches
53%Win rate
1.12Avg K/D
75.1ADR
38%Headshot %

Clutches & streaks

25%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust21145%1.1414.4
Nuke425%0.7210.5
Inferno367%1.3419.7
Cache250%0.7314.5
Anubis10%0.274.0
Ancient1100%1.3316.0

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.

14.9%Headshot accuracy
34.7%Accuracy (enemy spotted)
35.6%Spray accuracy
83.0%Counter-strafing
8.8°Preaim
564msReaction time
37.8%T opening success
44.1%CT opening success
0.93Enemies flashed / flash
6.2%Flash assists
7.53HE damage / grenade
9.28Flashes / 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 14.9268% — below the 15% mark we flag

    Aim Training →
  2. 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 37.8192% — 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.

40% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–130.0621%12 Oct →
dust22–70.0114%1 Oct →
nuke8–13-0.028%1 Oct →
nuke5–13-0.0522%30 Sept →
dust29–13-0.0121%30 Sept →
dust24–5-0.0620%30 Sept →
nuke13–9-0.0213%26 Sept →
inferno9–13-0.0318%26 Sept →
dust210–130.0116%26 Sept →
dust212–20.0324%25 Sept →
dust20–2-0.070%19 Sept →
dust210–130.0813%18 Sept →
dust213–4-0.0210%15 Sept →
nuke4–13-0.0522%15 Sept →
inferno16–19-0.018%11 Sept →
dust213–30.1017%11 Sept →
dust213–100.0718%11 Sept →
nuke13–4-0.0117%10 Sept →
dust213–30.0733%10 Sept →
dust210–13-0.0312%10 Sept →
dust23–130.0217%9 Sept →
nuke13–110.0014%9 Sept →
dust23–13-0.0722%8 Sept →
dust213–7-0.037%8 Sept →
dust213–16-0.019%8 Sept →
dust22–9-0.0221%7 Sept →
dust213–100.059%7 Sept →
dust213–3-0.0211%6 Sept →
dust213–100.1311%6 Sept →
dust213–110.0710%5 Sept →
dust211–130.038%5 Sept →
anubis12–12-0.0417%5 Sept →
dust213–8-0.0426%4 Sept →
dust213–9-0.0221%3 Sept →
nuke12–12-0.0121%3 Sept →
inferno13–110.0514%3 Sept →
dust29–130.0314%2 Sept →
dust213–110.0719%1 Sept →
anubis12–12-0.0111%30 Aug →
dust211–130.0210%30 Aug →
dust213–70.0418%12 Aug →
inferno6–130.0813%6 Aug →
anubis4–13-0.054%3 Aug →
nuke8–30.0230%1 Aug →
mirage14–16-0.1010%1 Aug →
cache9–130.0215%1 Aug →
dust24–50.1321%28 Jul →
dust213–110.0815%28 Jul →
cache13–60.0316%26 Jul →
dust24–90.0614%26 Jul →
mirage13–90.0116%25 Jul →
inferno4–13-0.0312%25 Jul →
inferno13–9-0.048%23 Jul →
inferno13–10-0.0118%23 Jul →
dust28–13-0.0018%23 Jul →
inferno4–90.095%27 Jun →
mirage11–13-0.0316%26 Jun →
dust213–10-0.0113%4 May →
inferno11–130.0414%3 May →
mirage13–110.0310%21 Mar →
mirage8–130.029%17 Mar →
mirage13–6-0.0121%17 Mar →
mirage13–60.0417%17 Mar →
mirage7–130.0817%17 Mar →
mirage5–130.0229%16 Mar →
mirage13–50.1017%16 Mar →
mirage10–130.0411%16 Mar →
mirage13–50.057%15 Mar →
mirage12–120.0512%12 Mar →
mirage11–130.0811%12 Mar →
mirage13–30.1114%11 Mar →
mirage1–130.0226%11 Mar →
mirage13–110.0614%11 Mar →
mirage13–80.076%10 Mar →
mirage12–120.0515%10 Mar →
mirage2–130.0725%10 Mar →
inferno13–10-0.049%10 Mar →
mirage13–100.0411%10 Mar →
mirage5–130.049%10 Mar →
mirage13–70.0114%10 Mar →
dust213–110.0311%9 Mar →
inferno4–130.0117%9 Mar →
mirage13–100.1311%8 Mar →
mirage9–13-0.018%7 Mar →
dust213–90.0218%3 Mar →
anubis13–100.027%1 Mar →
inferno9–13-0.0114%1 Mar →
mirage8–13-0.0211%26 Feb →
mirage13–00.0115%26 Feb →
inferno8–13-0.047%26 Feb →
mirage13–110.0516%25 Feb →
inferno13–60.049%25 Feb →
ancient15–150.0413%25 Feb →
inferno13–40.0518%25 Feb →
inferno13–50.099%24 Feb →
nuke15–15-0.017%23 Feb →
inferno12–120.0113%23 Feb →
inferno2–13-0.0112%23 Feb →
inferno7–130.0021%23 Feb →
inferno13–00.035%23 Feb →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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