Discopanda

Discopanda — CS2 Stats

SE76561197962335789[U:1:2070061]Steam profile ↗✓ No bans

284Tracked matches45%Win rate2022Tracked since
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating17,438Purple band · top ~18.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 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: 17,438 +2,438 4 Oct – 2 Nov · 23 days played
15,00018,918peak 18,9184 Oct2 Nov
19,355Peak Premier in tracked matches
25Days played since 2026-10-04

Premier CS Rating

  • 1,480 below peak (18,918)
  • +2,438 over 30 days · improving
  • Next: Pink band at 20,000 — 2,562 to go
  • Reached: 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.

Share this profile

CSDB.GGDiscopandaPREMIER17,438 · Purple bandcsdb.gg/stats

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Performance scores

Aim54
Positioning59
Utility53

0–100 skill scores via Leetify.

Recent form

COLD48–49–3Last 10048%Win rateWTLWLWLLLL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −0.8pp headshot accuracy · +32ms reaction

Win rate down 20pp 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 547ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 584ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 568ms

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 (+2.5 against its own average).

Aim5.4
Utility5.3
Positioning5.9
Opening Duels2.4
Clutch0.0

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

NiKo

Plays most like NiKo 77% 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

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 62% on T to 34% on CT — first contacts on the defending side are being lost.

Reaction time. 565ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim5.4
Positioning5.9
Utility5.3
Mechanics4.3
Opening Duels4.5
Win Impact3.3

Composite 5.0/10 (Developing), 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 rating0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time568ms−53ms
first ⅓ avg 621ms → last ⅓ avg 568ms
Headshot accuracy19.7%+3.6%
first ⅓ avg 16.1% → last ⅓ avg 19.7%

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

0.11Best match rating · 13–5 · mirage, 16 Oct →
36%Best headshot accuracy · 13–7 · dust2, 9 Oct →
422msFastest reaction time · 4–13 · anubis, 31 Oct →
13–1Biggest win · mirage, 12 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
10–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 69% over 16ancientWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A2212–1055%-0.02
mirageC198–1142%0.00
anubisS1611–569%-0.01
cacheB136–746%0.00
infernoD124–833%-0.02
nukeS96–367%-0.01
ancientD91–811%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

10Matches
50%Win rate
0.78Avg K/D
68.9ADR
51%Headshot %

Clutches & streaks

0%1v1 clutch win
33%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust2250%0.8415.5
Inferno250%0.8213.5
Ancient10%0.8416.0
Nuke1100%0.8416.0
Anubis1100%1.1416.0
Mirage10%0.377.0

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.

19.2%Headshot accuracy
33.6%Accuracy (enemy spotted)
33.1%Spray accuracy
69.3%Counter-strafing
11.9°Preaim
565msReaction time
62.2%T opening success
33.9%CT opening success
0.53Enemies flashed / flash
1.7%Flash assists
11.35HE damage / grenade
7.24Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 33.8956% — below the 40% mark we flag

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.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis16–120.0218%2 Nov →
mirage15–15-0.0410%2 Nov →
cache5–130.0126%2 Nov →
nuke13–11-0.0121%2 Nov →
mirage10–13-0.0510%1 Nov →
dust213–8-0.0313%1 Nov →
anubis6–13-0.0515%1 Nov →
inferno14–160.0118%1 Nov →
dust20–10-0.0620%1 Nov →
nuke9–13-0.0214%1 Nov →
ancient10–13-0.0118%1 Nov →
dust216–130.0223%31 Oct →
cache13–70.0617%31 Oct →
cache7–13-0.0412%31 Oct →
anubis13–80.1021%31 Oct →
anubis13–40.0312%31 Oct →
anubis4–13-0.0516%31 Oct →
anubis16–14-0.0310%31 Oct →
cache12–16-0.0419%30 Oct →
cache11–130.0326%30 Oct →
ancient7–13-0.0320%30 Oct →
inferno8–13-0.0127%30 Oct →
ancient7–13-0.0223%30 Oct →
anubis13–60.0727%30 Oct →
cache13–30.1022%30 Oct →
mirage13–100.0823%30 Oct →
inferno8–130.0732%30 Oct →
inferno13–10-0.0515%28 Oct →
cache13–80.0832%28 Oct →
inferno7–13-0.0322%28 Oct →
nuke13–40.0130%28 Oct →
dust213–4-0.0225%27 Oct →
mirage13–6-0.0514%27 Oct →
dust213–10-0.0115%27 Oct →
anubis10–13-0.0720%27 Oct →
anubis13–90.0316%26 Oct →
dust213–8-0.0415%26 Oct →
dust25–130.0725%25 Oct →
ancient10–130.069%25 Oct →
dust215–150.0520%25 Oct →
inferno9–130.0213%25 Oct →
anubis13–30.017%24 Oct →
dust26–13-0.0314%24 Oct →
mirage13–110.0220%24 Oct →
inferno0–2-0.080%24 Oct →
dust29–13-0.0030%23 Oct →
dust29–13-0.0419%23 Oct →
inferno13–110.0115%23 Oct →
cache13–9-0.0616%21 Oct →
mirage9–13-0.0226%21 Oct →
ancient13–7-0.0324%21 Oct →
mirage8–130.0522%21 Oct →
dust212–3-0.0216%21 Oct →
cache13–7-0.0515%20 Oct →
mirage16–14-0.0118%20 Oct →
ancient14–16-0.064%19 Oct →
dust213–11-0.0417%19 Oct →
inferno10–13-0.0318%17 Oct →
anubis13–2-0.0123%17 Oct →
mirage3–13-0.0518%17 Oct →
anubis13–11-0.0111%16 Oct →
cache6–130.0118%16 Oct →
dust24–13-0.0527%16 Oct →
ancient6–13-0.0428%16 Oct →
mirage13–50.1135%16 Oct →
anubis13–5-0.0418%15 Oct →
nuke13–11-0.0324%15 Oct →
dust213–9-0.0613%15 Oct →
inferno13–8-0.0620%15 Oct →
dust213–70.018%14 Oct →
mirage13–90.0414%14 Oct →
anubis8–13-0.065%14 Oct →
dust25–13-0.0617%14 Oct →
ancient3–13-0.0810%12 Oct →
nuke7–13-0.0131%12 Oct →
mirage13–10.0221%12 Oct →
mirage15–15-0.0122%10 Oct →
dust27–130.0216%10 Oct →
inferno13–11-0.0213%10 Oct →
dust213–9-0.039%10 Oct →
cache2–7-0.0424%10 Oct →
dust213–7-0.0336%9 Oct →
inferno11–13-0.0418%8 Oct →
anubis13–7-0.0423%8 Oct →
mirage7–13-0.0122%8 Oct →
cache13–3-0.0319%8 Oct →
nuke13–5-0.029%8 Oct →
mirage11–13-0.0612%7 Oct →
nuke13–4-0.0016%7 Oct →
mirage13–110.0418%7 Oct →
nuke13–10-0.0315%6 Oct →
dust211–13-0.0417%6 Oct →
dust213–100.0222%5 Oct →
ancient11–13-0.0413%5 Oct →
mirage6–13-0.026%4 Oct →
mirage8–13-0.0114%4 Oct →
cache4–130.017%4 Oct →
mirage7–13-0.0313%4 Oct →
anubis10–13-0.017%4 Oct →
nuke7–13-0.0020%4 Oct →

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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