Spooderman

Spooderman — CS2 Stats

76561198340722358[U:1:380456630]Steam profile ↗✓ No bans

357Tracked matches63%Win rate2021Tracked since
CSDB Rating6.0 SolidSupport
Premier CS Rating17,024Purple band · top ~20.3% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (21 days ago). 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: 17,024 +907 26 Jul – 10 Sept · 16 days played
13,65818,431peak 18,43126 Jul10 Sept
19,051Peak Premier in tracked matches
16Days played since 2026-07-26

Premier CS Rating

  • 1,407 below peak (18,431)
  • +3,366 over 30 days · improving
  • Next: Pink band at 20,000 — 2,976 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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

Share this profile

CSDB.GGSpoodermanPREMIER17,024 · Purple bandcsdb.gg/stats

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Performance scores

Aim77
Positioning41
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY59–40–1Last 10059%Win rateLLLLWWWLWW

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +3.2pp headshot accuracy · −60ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 606ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 588ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 618ms

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 (+1.6 against its own average).

Aim7.7
Utility5.2
Positioning4.1
Opening Duels1.6

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 93% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Reaction time. 598ms 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

Aim7.7
Positioning4.1
Utility5.2
Mechanics6.6
Opening Duels1.5
Win Impact9.4

Composite 6.0/10 (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 rating0.01−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time602ms−46ms
first ⅓ avg 648ms → last ⅓ avg 602ms
Headshot accuracy14.3%−0.5%
first ⅓ avg 14.8% → last ⅓ avg 14.3%

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

0.18Best match rating · 13–3 · inferno, 1 Aug →
29%Best headshot accuracy · 13–2 · anubis, 16 Aug →
391msFastest reaction time · 13–5 · inferno, 30 Aug →
13–1Biggest win · dust2, 16 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L4Current streak
9–4In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 75% over 12dust2Weakest map · 52% over 27
MapGradePlayedRecordWin rateAvg rating
dust2B2714–1352%0.02
nukeA2213–959%0.02
infernoS2013–765%0.04
anubisA138–562%0.02
ancientS129–375%0.03
cache—31–233%0.03
mirage—20–20%-0.01
vertigo—11–0100%0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (52% over 27). Start with the 6 essential Dust 2 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.

14.9%Headshot accuracy
38.7%Accuracy (enemy spotted)
43.4%Spray accuracy
79.7%Counter-strafing
8.9°Preaim
598msReaction time
30.3%T opening success
41.5%CT opening success
0.61Enemies flashed / flash
3.9%Flash assists
11.84HE damage / grenade
7.14Flashes / 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 14.8999% — 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 30.3316% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
mirage2–13-0.0720%10 Sept →
ancient4–13-0.0522%10 Sept →
dust213–160.0313%10 Sept →
inferno11–13-0.0011%10 Sept →
nuke13–110.0119%10 Sept →
anubis8–2-0.0010%10 Sept →
inferno13–100.0028%9 Sept →
dust21–13-0.057%9 Sept →
nuke13–100.0322%9 Sept →
dust213–100.0918%8 Sept →
anubis8–13-0.019%8 Sept →
inferno3–13-0.0617%8 Sept →
dust213–70.0116%8 Sept →
ancient13–110.036%6 Sept →
dust216–130.1121%6 Sept →
nuke13–5-0.038%6 Sept →
cache13–60.0812%6 Sept →
anubis13–7-0.0318%6 Sept →
nuke13–90.0215%5 Sept →
ancient13–100.0315%5 Sept →
inferno9–130.0117%5 Sept →
dust25–130.0110%5 Sept →
inferno13–110.042%5 Sept →
dust24–13-0.0321%5 Sept →
ancient16–140.1112%5 Sept →
dust27–130.0318%1 Sept →
nuke13–50.099%30 Aug →
dust216–130.0113%30 Aug →
inferno13–50.0617%30 Aug →
inferno13–100.0420%29 Aug →
dust213–2-0.050%29 Aug →
nuke8–130.0018%29 Aug →
nuke12–160.019%29 Aug →
dust213–90.059%29 Aug →
dust25–13-0.0219%29 Aug →
dust213–100.0111%29 Aug →
inferno13–80.068%29 Aug →
nuke13–11-0.0225%29 Aug →
nuke7–13-0.0213%29 Aug →
ancient16–120.0011%27 Aug →
dust215–150.0122%27 Aug →
anubis16–12-0.0211%23 Aug →
anubis13–110.0310%23 Aug →
nuke13–50.067%23 Aug →
nuke7–130.069%23 Aug →
inferno13–80.0113%16 Aug →
dust29–130.018%16 Aug →
nuke13–6-0.0116%16 Aug →
nuke13–60.027%16 Aug →
dust213–100.0817%16 Aug →
ancient13–70.047%16 Aug →
anubis13–20.1129%16 Aug →
nuke13–20.058%16 Aug →
dust213–10.0511%16 Aug →
cache11–13-0.014%16 Aug →
inferno13–40.0818%16 Aug →
nuke7–13-0.0812%16 Aug →
inferno13–90.049%16 Aug →
anubis13–70.0119%16 Aug →
mirage10–130.0519%16 Aug →
ancient10–13-0.0218%16 Aug →
dust28–13-0.0121%16 Aug →
ancient10–130.0318%16 Aug →
dust210–130.0420%6 Aug →
inferno10–130.0213%2 Aug →
dust213–110.039%2 Aug →
anubis9–130.0023%2 Aug →
anubis13–40.1012%2 Aug →
dust29–13-0.0013%2 Aug →
vertigo13–70.0719%2 Aug →
cache3–130.0212%2 Aug →
nuke13–60.1319%2 Aug →
anubis11–130.0118%2 Aug →
dust213–100.0318%2 Aug →
dust211–130.0413%2 Aug →
inferno13–90.0212%2 Aug →
nuke1–13-0.0521%2 Aug →
inferno8–13-0.0522%2 Aug →
ancient13–10-0.0211%2 Aug →
anubis13–110.038%1 Aug →
nuke4–13-0.0522%1 Aug →
nuke13–60.0517%1 Aug →
inferno8–130.0212%1 Aug →
inferno13–30.1825%1 Aug →
dust213–100.0412%1 Aug →
nuke6–130.0117%1 Aug →
inferno9–130.1312%1 Aug →
dust22–13-0.0313%1 Aug →
anubis5–130.0518%31 Jul →
inferno13–7-0.019%31 Jul →
nuke5–130.0520%26 Jul →
ancient13–9-0.0114%26 Jul →
anubis3–130.009%26 Jul →
ancient13–110.1319%26 Jul →
inferno13–50.1516%26 Jul →
nuke13–80.1221%26 Jul →
dust213–70.0010%26 Jul →
inferno13–10-0.028%26 Jul →
ancient13–70.059%26 Jul →
dust213–20.0610%26 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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