Windasauorus

Windasauorus — CS2 Stats

76561198007849530[U:1:47583802]Steam profile ↗✓ No bans

637Tracked matches39%Win rate2023Tracked since
1,132Hours in CS
CSDB Rating3.3 LearningPositional Player
Premier CS Rating10,484Blue band · top ~52.3% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Jul 2026 (102 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: 10,484 -1,134 31 Jul – 6 Jul · 15 days played
10,00911,976peak 11,97631 Jul6 Jul
11,976Peak Premier in tracked matches
39Days played since 2025-07-24

Premier CS Rating

  • 1,492 below peak (11,976)
  • -406 over 30 days · declining
  • Next: Purple band at 15,000 — 4,516 to go
  • Reached: Blue band · Light Blue band

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

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,290), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate38.7%42.7%43.7%5.1% short
Shot accuracy14.8%11.3%12.0%above
Kill/death ratio0.860.991.020.16 short
Match win rate34.4%43.9%44.7%10.3% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGWindasauorusFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER10,484 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim41
Positioning44
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY42–55–3Last 10042%Win rateWWWLTWLLLL

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −1.8pp headshot accuracy · −48ms 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 611ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 639ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 663ms

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 (+1.1 against its own average).

Aim4.1
Utility3.7
Positioning4.4
Opening Duels1.7

Strong T-side openerLimited 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

ZywOo

Plays most like ZywOo 76% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Areas to improve

Reaction time. 654ms 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

Aim4.1
Positioning4.4
Utility3.7
Mechanics4.6
Opening Duels0.3
Win Impact1.4

Composite 3.3/10 (Learning), 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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time672ms+4ms
first ⅓ avg 668ms → last ⅓ avg 672ms
Headshot accuracy16.8%+3.1%
first ⅓ avg 13.7% → last ⅓ avg 16.8%

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

0.12Best match rating · 13–2 · train, 29 Jul →
40%Best headshot accuracy · 4–0 · inferno, 18 May →
453msFastest reaction time · 13–7 · mirage, 7 Jul →
13–2Biggest win · train, 1 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
5–4In matches decided by ≤2 rounds
10Overtime games

Map breakdown

trainBest map · 67% over 9nukeWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
ancientD267–1927%-0.03
infernoB2210–1245%-0.02
overpassB158–753%-0.01
nukeD112–918%-0.02
trainS96–367%-0.00
mirageB63–350%-0.03
anubisB63–350%0.00
dust2—32–167%0.01
vertigo—10–10%0.05
brewery—11–0100%0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

55,127Lifetime kills
0.86K/D
2,938Matches
34.4%Match win rate
38.7%Headshot %
14.8%Shot accuracy · Top 50% of Level 4 players
4,567MVPs
1,132Hours (in match)
2,488Bombs planted
514Bombs defused

Most-used weapons

AK-4719,355
AWP3,266
MAC-101,196
P2501,100
P901,015
UMP-451,007

Lifetime map wins

4,599inferno
2,904dust2
1,091vertigo
1,067nuke
977cbble
762train
106lake
22shorttrain

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.5%Headshot accuracy
30.6%Accuracy (enemy spotted)
32.8%Spray accuracy
70.8%Counter-strafing
11.0°Preaim
654msReaction time
32.7%T opening success
28.9%CT opening success
0.46Enemies flashed / flash
2.8%Flash assists
6.70HE damage / grenade
4.29Flashes / 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. 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 0.4575 — below the 0.5 mark we flag

    Grenade Lineups →
  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 32.7399% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–7-0.0618%7 Jul →
inferno13–7-0.0320%7 Jul →
overpass13–50.0114%6 Jul →
anubis9–13-0.0816%6 Jul →
dust215–15-0.0119%30 Jun →
inferno13–40.0224%30 Jun →
overpass10–13-0.0017%14 Jun →
inferno1–130.018%12 Jun →
ancient10–13-0.0018%12 Jun →
ancient7–130.0112%7 Jun →
ancient2–13-0.0617%7 Jun →
anubis13–60.0324%18 May →
inferno4–00.0040%18 May →
ancient14–16-0.0710%17 May →
inferno11–130.0112%17 May →
overpass8–130.0517%16 May →
overpass13–30.1014%16 May →
ancient9–13-0.0421%16 May →
overpass13–16-0.0413%11 May →
ancient1–13-0.0715%11 May →
ancient13–90.0211%27 Apr →
anubis6–130.019%27 Apr →
anubis10–13-0.0116%13 Apr →
overpass15–15-0.0323%13 Apr →
ancient2–13-0.0314%13 Apr →
ancient13–5-0.0110%12 Apr →
inferno4–13-0.0413%11 Apr →
mirage13–6-0.0223%6 Apr →
inferno13–90.0127%6 Apr →
ancient6–13-0.0515%6 Apr →
nuke7–13-0.029%5 Apr →
inferno5–13-0.0323%5 Apr →
inferno8–13-0.0311%5 Apr →
nuke6–130.0315%5 Apr →
ancient3–13-0.039%5 Apr →
mirage13–6-0.0112%4 Apr →
inferno13–110.0516%4 Apr →
inferno9–13-0.0219%4 Apr →
ancient13–70.0319%4 Apr →
anubis13–90.0618%4 Apr →
mirage8–13-0.0619%29 Mar →
inferno7–13-0.0215%29 Mar →
ancient3–13-0.1110%29 Mar →
anubis13–100.0111%29 Mar →
nuke3–13-0.0719%14 Dec →
train7–13-0.0520%14 Dec →
ancient9–13-0.0121%13 Dec →
overpass10–13-0.0110%25 Aug →
train0–13-0.0221%24 Aug →
vertigo7–90.0529%24 Aug →
ancient13–60.0515%12 Aug →
inferno9–13-0.0828%11 Aug →
ancient10–13-0.0915%10 Aug →
overpass16–14-0.0516%10 Aug →
overpass13–6-0.1014%7 Aug →
inferno13–6-0.0117%7 Aug →
dust213–10-0.0618%7 Aug →
ancient13–8-0.0512%6 Aug →
nuke3–13-0.0214%6 Aug →
nuke7–13-0.075%5 Aug →
overpass8–13-0.0711%4 Aug →
ancient13–16-0.0710%4 Aug →
overpass13–8-0.0415%3 Aug →
ancient10–13-0.0713%3 Aug →
train13–10-0.1021%3 Aug →
inferno13–70.0514%3 Aug →
overpass16–120.0014%2 Aug →
inferno7–13-0.1011%2 Aug →
train13–20.0315%1 Aug →
nuke4–13-0.0816%31 Jul →
ancient13–7-0.0112%31 Jul →
overpass5–13-0.0612%29 Jul →
brewery9–50.0611%29 Jul →
train13–20.1213%29 Jul →
ancient7–13-0.0411%29 Jul →
inferno8–13-0.0311%29 Jul →
train8–130.0120%28 Jul →
nuke7–13-0.0317%28 Jul →
ancient5–13-0.053%28 Jul →
inferno13–40.009%28 Jul →
dust213–50.1117%27 Jul →
train13–9-0.0010%27 Jul →
nuke10–13-0.089%27 Jul →
ancient8–130.0315%27 Jul →
overpass13–30.0314%27 Jul →
inferno13–10-0.0622%27 Jul →
mirage13–160.0014%27 Jul →
ancient15–15-0.0216%27 Jul →
inferno6–13-0.0320%27 Jul →
ancient8–13-0.054%26 Jul →
inferno13–110.0012%26 Jul →
overpass13–60.1013%26 Jul →
ancient13–110.0320%26 Jul →
train13–10-0.0525%26 Jul →
inferno13–16-0.0316%25 Jul →
nuke7–130.0214%25 Jul →
nuke13–110.0912%25 Jul →
train13–70.059%25 Jul →
mirage11–13-0.0711%24 Jul →
nuke13–50.0212%24 Jul →

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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