CSSG | ♥ Spooky_Booty_Banger

CSSG | ♥ Spooky_Booty_Banger — CS2 Stats

US76561199138643922[U:1:1178378194]Steam profile ↗✓ No bans

2,674Tracked matches48%Win rate2024Tracked since
CSDB Rating3.3 LearningPositional Player
Premier CS Rating3,475Grey band · top ~85.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+107Premier CS Rating · 3,368 → 3,475

Rating over time

Premier CS Rating: 3,475 -679 28 Aug – 7 Nov · 22 days played
2,9405,587peak 5,58728 Aug7 Nov
5,587Peak Premier in tracked matches
19Days played since 2026-08-28

Premier CS Rating

  • 2,112 below peak (5,587)
  • -1,846 over 30 days · declining
  • Next: Light Blue band at 5,000 — 1,525 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-21

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

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Performance scores

Aim23
Positioning51
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY35–63–2Last 10035%Win rateWWWLWWLLWL

Last 10 vs previous 10: +60pp win rate · −0.02 avg rating · +1.6pp headshot accuracy · +9ms reaction

Win rate up 60pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 12%
  • Avg reaction 627ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 648ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 643ms

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: Positional Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim2.3
Utility3.9
Positioning5.1
Opening Duels1.8

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

m0NESY

Plays most like m0NESY 59% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 648ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.3
Positioning5.1
Utility3.9
Mechanics3.7
Opening Duels3.4
Win Impact4.4

Composite 3.3/10 (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 rating0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time644ms−36ms
first ⅓ avg 679ms → last ⅓ avg 644ms
Headshot accuracy11.9%+1.2%
first ⅓ avg 10.7% → last ⅓ avg 11.9%

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 · 13–6 · anubis, 31 Oct →
26%Best headshot accuracy · 13–9 · dust2, 31 Oct →
477msFastest reaction time · 4–13 · inferno, 30 Oct →
13–1Biggest win · nuke, 25 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak
W3Current streak
1–10In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 57% over 7ancientWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
nukeD217–1433%-0.01
dust2D185–1328%-0.03
mirageD175–1229%-0.01
infernoB157–847%-0.02
cacheB115–645%-0.03
ancientD102–820%0.01
anubisA74–357%0.02
office—10–10%-0.10

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Ancient 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.

12.2%Headshot accuracy
28.9%Accuracy (enemy spotted)
33.1%Spray accuracy
66.8%Counter-strafing
13.7°Preaim
648msReaction time
48.9%T opening success
38.0%CT opening success
0.48Enemies flashed / flash
2.5%Flash assists
9.60HE damage / grenade
4.72Flashes / 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 13.7133° — 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 12.1952% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4777 — below the 0.5 mark we flag

    Grenade Lineups →
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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–6-0.0110%7 Nov →
inferno13–80.0718%6 Nov →
mirage13–60.0616%6 Nov →
cache7–13-0.0411%6 Nov →
mirage13–100.057%6 Nov →
inferno13–5-0.0215%6 Nov →
mirage10–13-0.0615%6 Nov →
anubis4–13-0.039%6 Nov →
nuke13–7-0.037%6 Nov →
inferno4–13-0.0922%6 Nov →
ancient5–130.099%5 Nov →
dust28–13-0.0216%5 Nov →
mirage11–130.086%5 Nov →
ancient11–130.0810%5 Nov →
cache10–130.0114%5 Nov →
mirage8–13-0.0112%4 Nov →
nuke13–16-0.0411%4 Nov →
dust25–13-0.0616%2 Nov →
ancient8–13-0.048%2 Nov →
inferno15–15-0.0111%2 Nov →
nuke13–40.0013%2 Nov →
inferno13–80.0314%2 Nov →
mirage4–13-0.078%2 Nov →
nuke13–30.0212%2 Nov →
cache13–5-0.0216%2 Nov →
cache13–8-0.035%2 Nov →
anubis12–160.0317%2 Nov →
dust213–80.1317%2 Nov →
inferno13–60.0713%2 Nov →
cache13–5-0.029%1 Nov →
dust23–13-0.054%1 Nov →
anubis13–9-0.044%1 Nov →
ancient13–50.0516%1 Nov →
dust211–130.029%1 Nov →
nuke10–130.0211%31 Oct →
mirage11–13-0.074%31 Oct →
ancient13–9-0.037%31 Oct →
inferno7–13-0.048%31 Oct →
anubis13–60.1312%31 Oct →
dust25–13-0.0013%31 Oct →
nuke9–13-0.0611%31 Oct →
dust27–13-0.0616%31 Oct →
inferno13–9-0.0414%31 Oct →
dust213–9-0.0526%31 Oct →
office5–13-0.1025%30 Oct →
dust213–10-0.0417%30 Oct →
inferno4–13-0.045%30 Oct →
nuke13–80.0616%30 Oct →
anubis6–130.0318%30 Oct →
anubis13–10-0.0113%30 Oct →
nuke8–13-0.068%30 Oct →
mirage9–13-0.024%30 Oct →
mirage10–13-0.0018%30 Oct →
nuke16–13-0.066%29 Oct →
mirage13–10-0.0311%29 Oct →
cache5–13-0.088%29 Oct →
nuke7–13-0.019%29 Oct →
ancient9–13-0.0411%28 Oct →
dust23–13-0.1111%28 Oct →
ancient9–130.0314%28 Oct →
cache13–3-0.108%28 Oct →
nuke5–130.019%27 Oct →
dust23–13-0.0913%27 Oct →
mirage13–9-0.0613%27 Oct →
ancient9–13-0.0014%25 Oct →
mirage4–13-0.0212%25 Oct →
inferno13–4-0.018%25 Oct →
dust24–130.0511%25 Oct →
mirage11–130.0313%25 Oct →
nuke13–80.069%25 Oct →
nuke7–13-0.019%25 Oct →
nuke13–10.0711%25 Oct →
dust27–130.0116%24 Oct →
nuke6–130.018%24 Oct →
nuke10–130.0719%24 Oct →
nuke10–13-0.017%24 Oct →
inferno13–30.0315%24 Oct →
inferno13–16-0.075%23 Oct →
inferno11–130.018%23 Oct →
mirage5–13-0.0317%23 Oct →
cache11–13-0.028%23 Oct →
nuke13–16-0.0210%23 Oct →
nuke8–13-0.0110%23 Oct →
ancient7–13-0.0311%23 Oct →
cache13–20.019%23 Oct →
mirage8–130.0111%22 Oct →
cache5–13-0.036%22 Oct →
dust211–13-0.0514%22 Oct →
mirage3–13-0.094%22 Oct →
inferno5–13-0.077%20 Oct →
dust215–15-0.084%20 Oct →
inferno4–13-0.0612%17 Oct →
cache4–13-0.0616%17 Oct →
dust213–10-0.038%15 Oct →
mirage13–110.0516%15 Oct →
dust29–13-0.0416%15 Oct →
nuke11–13-0.069%15 Oct →
dust213–10-0.0716%15 Oct →
ancient6–130.009%15 Oct →
nuke11–13-0.057%14 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 →

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