Sidekick Lady

Sidekick Lady — CS2 Stats

FI76561198040157341[U:1:79891613]Steam profile ↗✓ No bans

4,129Tracked matches48%Win rate2020Tracked since
CSDB Rating3.6 LearningSupport
Premier CS Rating8,195Light Blue band · top ~63.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). 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: 8,195 +111 3 Sept – 4 Nov · 17 days played
5,33311,985peak 11,9853 Sept4 Nov
11,985Peak Premier in tracked matches
15Days played since 2026-09-03

Premier CS Rating

  • 3,790 below peak (11,985)
  • -1,212 over 30 days · declining
  • Next: Blue band at 10,000 — 1,805 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-18
  • Light Blue band first seen 2026-09-03

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

Share this profile

CSDB.GGSidekick LadyPREMIER8,195 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim25
Positioning41
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY37–59–4Last 10037%Win rateWLLLLWLTWW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −0.5pp headshot accuracy · −18ms reaction

Win rate −10pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 11%
  • Avg reaction 639ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 684ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 693ms

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 (+1.7 against its own average).

Aim2.5
Utility5.3
Positioning4.1
Opening Duels1.4

Limited 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

Twistzz

Plays most like Twistzz 59% 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

Reaction time. 686ms 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

Aim2.5
Positioning4.1
Utility5.3
Mechanics6.0
Opening Duels2.9
Win Impact4.4

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05+0.01
first ⅓ avg -0.06 → last ⅓ avg -0.05
Reaction time686ms−5ms
first ⅓ avg 692ms → last ⅓ avg 686ms
Headshot accuracy11.2%+0.5%
first ⅓ avg 10.6% → last ⅓ avg 11.2%

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

0.09Best match rating · 13–2 · nuke, 29 Oct →
24%Best headshot accuracy · 4–13 · dust2, 3 Nov →
484msFastest reaction time · 8–13 · nuke, 20 Oct →
13–2Biggest win · nuke, 29 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 57% over 14dust2Weakest map · 23% over 22
MapGradePlayedRecordWin rateAvg rating
dust2D225–1723%-0.05
nukeC187–1139%-0.04
cacheB178–947%-0.04
mirageD165–1131%-0.06
infernoA148–657%-0.03
anubisC83–538%-0.04
ancient—41–325%-0.05
debris—10–10%-0.18

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (23% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

14Matches
29%Win rate
0.54Avg K/D
—ADR
30%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

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.

11.0%Headshot accuracy
29.2%Accuracy (enemy spotted)
31.5%Spray accuracy
77.0%Counter-strafing
13.4°Preaim
686msReaction time
46.5%T opening success
36.3%CT opening success
0.65Enemies flashed / flash
2.4%Flash assists
10.96HE damage / grenade
4.53Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.4337° — above the 12° mark we flag

    Aim Training →
  2. 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 11.017% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Dust 2

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 22 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–5-0.057%4 Nov →
cache2–13-0.1012%4 Nov →
nuke5–13-0.083%4 Nov →
dust29–13-0.0711%3 Nov →
dust24–13-0.0824%3 Nov →
inferno13–11-0.0613%3 Nov →
mirage6–13-0.0510%3 Nov →
cache15–15-0.0012%3 Nov →
cache13–4-0.009%3 Nov →
inferno13–10-0.036%3 Nov →
mirage16–12-0.068%3 Nov →
dust216–14-0.065%3 Nov →
inferno4–13-0.056%3 Nov →
cache10–13-0.053%3 Nov →
cache10–130.0321%2 Nov →
dust28–13-0.1013%2 Nov →
cache13–10-0.057%2 Nov →
inferno13–9-0.0318%2 Nov →
mirage7–13-0.0412%2 Nov →
inferno13–70.0417%2 Nov →
nuke13–6-0.029%2 Nov →
mirage13–7-0.0411%2 Nov →
nuke16–12-0.0120%2 Nov →
anubis3–13-0.0514%2 Nov →
dust21–13-0.103%2 Nov →
dust216–120.0115%2 Nov →
nuke13–5-0.028%2 Nov →
dust210–13-0.0113%30 Oct →
cache14–16-0.079%30 Oct →
dust29–13-0.037%30 Oct →
anubis7–13-0.0716%30 Oct →
dust25–13-0.1121%30 Oct →
mirage7–13-0.124%29 Oct →
anubis13–11-0.036%29 Oct →
nuke10–13-0.100%29 Oct →
nuke13–20.0917%29 Oct →
dust26–13-0.0610%29 Oct →
cache13–11-0.0510%28 Oct →
mirage6–13-0.093%28 Oct →
nuke9–13-0.0517%27 Oct →
ancient13–11-0.0612%27 Oct →
inferno13–8-0.069%27 Oct →
dust213–40.018%27 Oct →
nuke10–13-0.056%27 Oct →
nuke11–13-0.0714%27 Oct →
dust213–16-0.0114%26 Oct →
inferno9–13-0.0619%26 Oct →
dust29–13-0.0715%26 Oct →
ancient9–13-0.0318%26 Oct →
ancient6–13-0.0412%26 Oct →
inferno13–80.067%26 Oct →
mirage3–13-0.0816%26 Oct →
cache15–15-0.0215%26 Oct →
dust25–13-0.0418%26 Oct →
mirage9–13-0.0213%26 Oct →
ancient10–13-0.097%26 Oct →
dust213–10-0.058%23 Oct →
anubis13–9-0.0416%23 Oct →
inferno4–130.029%23 Oct →
anubis8–13-0.0211%23 Oct →
cache13–100.056%23 Oct →
dust213–10-0.0210%23 Oct →
nuke13–8-0.0110%23 Oct →
dust28–13-0.0313%23 Oct →
nuke15–150.0113%22 Oct →
dust212–16-0.0510%22 Oct →
nuke13–4-0.028%22 Oct →
dust28–13-0.0313%22 Oct →
anubis10–13-0.009%22 Oct →
dust27–13-0.0714%22 Oct →
nuke4–13-0.0118%22 Oct →
anubis13–11-0.055%22 Oct →
nuke8–13-0.1012%21 Oct →
mirage4–13-0.124%21 Oct →
cache13–10-0.067%21 Oct →
nuke11–13-0.076%21 Oct →
cache13–10-0.0710%21 Oct →
inferno14–16-0.074%21 Oct →
mirage13–6-0.018%20 Oct →
inferno13–4-0.0016%20 Oct →
debris4–9-0.188%20 Oct →
nuke8–13-0.0717%20 Oct →
cache13–11-0.054%20 Oct →
mirage11–13-0.0212%20 Oct →
nuke1–13-0.096%20 Oct →
mirage8–13-0.1211%19 Oct →
mirage9–13-0.0714%19 Oct →
dust26–13-0.097%19 Oct →
inferno10–13-0.0211%9 Oct →
dust211–13-0.0911%9 Oct →
inferno11–13-0.0315%9 Oct →
inferno13–9-0.0612%9 Oct →
anubis4–13-0.022%9 Oct →
mirage13–7-0.069%8 Oct →
cache3–13-0.1018%8 Oct →
mirage15–15-0.0716%8 Oct →
nuke13–9-0.0615%8 Oct →
cache6–13-0.0221%8 Oct →
cache9–13-0.0811%8 Oct →
cache13–90.038%8 Oct →

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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