pandÚr

pandÚr — CS2 Stats

76561198279313380[U:1:319047652]Steam profile ↗✓ No bans

1,243Tracked matches59%Win rate2020Tracked since
3,350Hours in CS29Hrs last 2 wks
CSDB Rating7.6 StrongPositional Player
Premier CS Rating24,975Top 25% of 213,399 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)
CSDB Leaderboard#23738 of 260011 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
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: 24,975 +4,284 19 Jul – 4 Nov · 21 days played
19,46024,975peak 24,97519 Jul4 Nov
24,975Peak Premier in tracked matches
38Days played since 2026-07-16

Premier CS Rating

  • At peak — 24,975
  • +2,981 over 30 days · improving
  • +5,515 over 90 days
  • Next: Red band at 25,000 — 25 to go
  • Reached: Pink band · Purple band · 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 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate43.9%46.8%48.2%4.3% short
Shot accuracy14.5%13.0%13.2%above
Kill/death ratio1.101.061.07above
Match win rate46.4%46.3%46.9%meets

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGpandÚrFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER24,975 · Pink 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

Aim89
Positioning66
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY46–46–8Last 10046%Win rateWTLWWTLLWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +7.6pp headshot accuracy · −2ms 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 0.04
  • Avg headshot accuracy 28%
  • Avg reaction 486ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 532ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 533ms

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 (+1.2 against its own average).

Aim8.9
Utility5.4
Positioning6.6
Opening Duels5.6
Clutch4.0

Sharp aimer

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 95% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: 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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

T openings. 72% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 72% on T to 56% on CT — first contacts on the defending side are being lost.

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

Aim8.9
Positioning6.6
Utility5.4
Mechanics7.0
Opening Duels8.2
Win Impact8.1

Composite 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time545ms−37ms
first ⅓ avg 583ms → last ⅓ avg 545ms
Headshot accuracy21.7%−3.8%
first ⅓ avg 25.5% → last ⅓ avg 21.7%

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

0.30Best match rating · 9–1 · nuke, 27 Sept →
55%Best headshot accuracy · 9–0 · inferno, 20 Sept →
406msFastest reaction time · 13–3 · inferno, 4 Nov →
13–0Biggest win · mirage, 19 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 58% over 31anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoA3118–1358%0.03
mirageC187–1139%-0.00
nukeC166–1038%0.02
dust2B115–645%0.00
ancientB105–550%0.01
anubisD51–420%0.01
cache—43–175%0.06
train—21–150%-0.02
vertigo—20–20%-0.07
office—10–10%0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

89,749Lifetime kills
1.10K/D · Top 50% of Level 8 players
4,472Matches
46.4%Match win rate · Top 50% of Level 8 players
43.9%Headshot %
14.5%Shot accuracy · Top 50% of Level 8 players
16,680MVPs
1,702Hours (in match)
1,632Bombs planted
788Bombs defused

Most-used weapons

AWP29,786
AK-4722,816
SSG 083,512
P2501,272
Knife1,186

Lifetime map wins

10,030inferno
6,011dust2
2,118nuke
946cbble
811vertigo
804office
415train
52lake

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

Faceit stats

Combat

122Matches
56%Win rate
1.10Avg K/D
84.1ADR
55%Headshot %

Clutches & streaks

40%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2850%1.0717.6
Inferno2361%1.1917.9
Dust22157%0.9816.8
Ancient1471%0.8515.4
Nuke1145%1.2315.6
Cache944%1.2720.1
Anubis667%1.1214.0
Overpass20%0.7513.5

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.

22.5%Headshot accuracy
39.7%Accuracy (enemy spotted)
37.9%Spray accuracy
81.6%Counter-strafing
7.2°Preaim
545msReaction time
72.2%T opening success
55.7%CT opening success
0.63Enemies flashed / flash
8.0%Flash assists
8.37HE damage / grenade
6.51Flashes / match

Recommended for you

Spend your practice time on Anubis

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

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–30.0841%4 Nov →
cache15–150.0521%4 Nov →
nuke4–13-0.0338%2 Nov →
dust213–110.0121%31 Oct →
mirage13–10.1017%31 Oct →
mirage12–12-0.0222%28 Oct →
mirage8–13-0.0829%28 Oct →
ancient10–13-0.0318%26 Oct →
ancient22–200.0125%25 Oct →
inferno13–60.0320%25 Oct →
nuke8–130.0121%25 Oct →
ancient7–13-0.0229%25 Oct →
ancient4–130.1015%24 Oct →
nuke13–70.0410%24 Oct →
inferno6–9-0.0317%24 Oct →
inferno8–8-0.0033%24 Oct →
inferno6–9-0.044%22 Oct →
inferno13–9-0.0215%21 Oct →
inferno13–6-0.0120%21 Oct →
mirage13–60.0110%21 Oct →
inferno13–100.0333%19 Oct →
dust27–13-0.0521%19 Oct →
mirage13–00.1116%19 Oct →
anubis7–13-0.0014%19 Oct →
nuke13–80.0526%19 Oct →
inferno13–11-0.0115%18 Oct →
inferno13–60.0419%18 Oct →
ancient6–13-0.0721%18 Oct →
ancient13–70.0524%18 Oct →
anubis15–150.0323%18 Oct →
mirage13–8-0.0435%18 Oct →
mirage5–130.0122%17 Oct →
inferno9–40.0522%17 Oct →
inferno7–90.0341%17 Oct →
dust29–13-0.0031%14 Oct →
train0–10-0.1013%10 Oct →
inferno9–50.1720%5 Oct →
inferno8–80.1421%5 Oct →
inferno4–90.0027%5 Oct →
dust29–130.0128%4 Oct →
dust213–6-0.0132%4 Oct →
dust213–110.0432%4 Oct →
dust27–130.0022%4 Oct →
nuke11–130.0244%4 Oct →
ancient7–130.0116%4 Oct →
dust215–150.0118%4 Oct →
ancient13–80.0015%3 Oct →
cache13–90.0533%3 Oct →
inferno13–100.0211%28 Sept →
ancient13–100.0117%28 Sept →
nuke7–13-0.0323%28 Sept →
cache13–50.1015%28 Sept →
inferno7–90.0214%27 Sept →
nuke4–9-0.1017%27 Sept →
nuke7–9-0.0119%27 Sept →
nuke9–10.3017%27 Sept →
inferno9–10.1136%27 Sept →
vertigo6–9-0.0024%27 Sept →
nuke9–10.2128%27 Sept →
vertigo4–9-0.1330%27 Sept →
inferno8–80.0531%27 Sept →
mirage5–13-0.0218%26 Sept →
inferno13–7-0.0122%26 Sept →
dust213–60.0120%26 Sept →
nuke5–13-0.0720%26 Sept →
inferno7–90.0928%24 Sept →
inferno9–50.1325%24 Sept →
mirage4–13-0.0328%21 Sept →
inferno10–130.0331%21 Sept →
nuke13–160.0130%20 Sept →
inferno13–60.0323%20 Sept →
dust26–13-0.0022%20 Sept →
inferno9–00.1855%20 Sept →
nuke9–7-0.0423%20 Sept →
inferno5–130.0330%14 Sept →
mirage11–13-0.0420%14 Sept →
office12–120.0425%12 Sept →
inferno8–13-0.0222%10 Sept →
cache13–110.0421%20 Aug →
anubis13–90.0423%20 Aug →
inferno1–9-0.1643%19 Aug →
nuke3–9-0.0614%19 Aug →
nuke16–130.0432%18 Aug →
train13–70.0632%13 Aug →
inferno13–10-0.0117%10 Aug →
dust216–140.0219%9 Aug →
ancient13–9-0.0027%9 Aug →
mirage11–13-0.0413%5 Aug →
mirage3–130.0215%22 Jul →
mirage10–13-0.0228%22 Jul →
mirage13–90.0024%19 Jul →
mirage5–13-0.0524%19 Jul →
mirage13–80.0317%19 Jul →
nuke2–13-0.0317%19 Jul →
anubis10–130.0325%19 Jul →
inferno13–10-0.0522%18 Jul →
anubis5–13-0.0338%18 Jul →
mirage13–9-0.0017%17 Jul →
mirage11–13-0.0241%17 Jul →
inferno13–7-0.0324%16 Jul →

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.