Panda™

Panda™ — CS2 Stats

US76561198127429246[U:1:167163518]Steam profile ↗✓ No bans

4,563Tracked matches67%Win rate2020Tracked since
8,290Hours in CS4Hrs last 2 wks
CSDB Rating8.2 StrongSupport
FaceitLevel 10 · 3,061 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (25 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 3,061 → 3,061
+6Tracked matches · now 4,563
+6.7ppWin rate · 60.0% → 66.7%

Rating over time

Premier CS Rating: 29,879 +2,585 23 Oct – 26 Dec · 7 days played
27,29429,879peak 29,87923 Oct26 Dec
Faceit ELO: 3,061 +0 28 Aug – 18 Sept · 4 observations
3,0613,061peak 3,06128 Aug18 Sept
29,999Peak Premier in tracked matches
3,061Highest Faceit ELO seen on CSDB
71Days played since 2025-10-23

Faceit ELO

  • At peak — 3,061
  • Next: 3,500 ELO at 3,500 — 439 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-08-28
  • 2,500 ELO first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches8——
Win rate75%——
K/D1.03——
Headshot %56%——

Measured 18 Sep 2026 → 13 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,304), 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 10 median
Headshot rate58.5%50.9%
Shot accuracy13.8%13.7%
Kill/death ratio0.871.09
Match win rate52.5%48.4%

Share this profile

CSDB.GGPanda™FACEITLevel 10 · 3,061 ELOSTANDINGTop 12.4% of rankedPEAK ELO3,061csdb.gg/stats

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Performance scores

Aim80
Positioning69
Utility82

0–100 skill scores via Leetify.

Recent form

HOT61–39Last 10061%Win rateWWWLLLWWWW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +1.9pp headshot accuracy · −22ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 506ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 547ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 558ms

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 (+1.8 against its own average).

Aim8.0
Utility8.2
Positioning6.9
Opening Duels6.3
Clutch4.0

Excellent counter-strafingEffective flashesHigh utility contribution

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

jL

Plays most like jL 76% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; higher 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

Utility. Utility score of 82 — grenade impact well above the norm.

Areas to improve

Reaction time. 577ms 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

Aim8.0
Positioning6.9
Utility8.2
Mechanics8.7
Opening Duels5.1
Win Impact10.0

Composite 8.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time585ms−15ms
first ⅓ avg 600ms → last ⅓ avg 585ms
Headshot accuracy20.7%+0.5%
first ⅓ avg 20.2% → last ⅓ avg 20.7%

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

0.13Best match rating · 13–6 · cache, 29 Jun →
33%Best headshot accuracy · 13–6 · ancient, 5 Jun →
406msFastest reaction time · 10–13 · nuke, 8 Apr →
13–0Biggest win · dust2, 9 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W3Current streak
9–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 80% over 5nukeWeakest map · 50% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A2214–864%-0.00
mirageA1912–763%0.01
ancientA1811–761%0.01
cacheA106–460%0.02
nukeB105–550%0.01
overpassA74–357%0.02
infernoA53–260%-0.01
anubisS54–180%0.01
train—42–250%0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (50% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

239,214Lifetime kills
0.87K/D
7,283Matches
52.5%Match win rate · Top 25% of Level 10 players
58.5%Headshot % · Top 25% of Level 10 players
13.8%Shot accuracy · Top 50% of Level 10 players
21,171MVPs
11,331Hours (in match)
11,610Bombs planted
2,906Bombs defused

Most-used weapons

AK-47108,806
AWP6,280
MP94,921
Knife4,362
MAC-103,643

Lifetime map wins

22,241dust2
17,888inferno
6,244nuke
4,896vertigo
4,869train
141cbble
49office
25italy

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

Faceit stats

Combat

4,087Matches
54%Win rate
1.15Avg K/D
85.7ADR
51%Headshot %

Clutches & streaks

40%1v1 clutch win
23%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage46947%1.1216.7
Ancient34653%1.1616.8
Dust230458%1.2016.7
Anubis26854%1.1616.5
Nuke18957%1.1315.9
Vertigo13258%1.2617.4
Inferno10867%1.1916.7
Overpass8252%1.3818.8

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.

20.5%Headshot accuracy
35.1%Accuracy (enemy spotted)
37.4%Spray accuracy
89.0%Counter-strafing
9.9°Preaim
577msReaction time
44.3%T opening success
56.8%CT opening success
0.74Enemies flashed / flash
17.4%Flash assists
12.14HE damage / grenade
16.62Flashes / match

Recent matches

MapScoreRatingHS%Date
inferno13–6-0.0026%9 Oct →
dust213–00.0921%9 Oct →
ancient13–90.0322%15 Sept →
ancient7–130.0218%15 Sept →
ancient19–220.0123%8 Sept →
cache11–13-0.0213%8 Sept →
dust213–9-0.0621%8 Sept →
dust213–11-0.0123%6 Sept →
mirage13–50.0119%23 Aug →
train13–90.0821%23 Aug →
dust29–13-0.0524%21 Aug →
cache13–110.0929%20 Aug →
cache6–13-0.0417%16 Aug →
dust213–60.0716%14 Aug →
mirage10–130.0314%11 Aug →
mirage13–110.0018%11 Aug →
mirage13–90.0814%11 Aug →
ancient16–130.0320%8 Aug →
cache13–10-0.0716%4 Aug →
mirage9–13-0.0222%2 Aug →
dust211–13-0.0612%1 Aug →
ancient13–80.0321%28 Jul →
anubis13–9-0.0118%27 Jul →
dust213–10.0332%26 Jul →
cache11–130.0119%24 Jul →
ancient13–20.0432%22 Jul →
anubis13–80.0318%22 Jul →
nuke13–7-0.0223%19 Jul →
dust213–50.0528%15 Jul →
ancient1–4-0.1129%9 Jul →
dust27–130.0320%9 Jul →
mirage12–16-0.0316%7 Jul →
dust27–13-0.0219%7 Jul →
nuke8–13-0.0523%1 Jul →
cache13–50.0617%30 Jun →
cache13–60.1321%29 Jun →
nuke13–100.0822%26 Jun →
ancient13–6-0.0133%5 Jun →
mirage13–16-0.0320%29 May →
anubis13–60.0523%27 May →
nuke8–130.0926%26 May →
anubis7–13-0.0325%25 May →
mirage13–8-0.0515%19 May →
ancient13–80.0219%18 May →
ancient9–13-0.0222%16 May →
mirage16–12-0.0120%15 May →
cache22–20-0.0523%10 May →
ancient13–11-0.0118%9 May →
cache13–10.0925%5 May →
cache10–13-0.0316%4 May →
overpass13–90.0618%28 Apr →
inferno13–6-0.0219%28 Apr →
mirage13–40.0824%23 Apr →
ancient0–30.000%22 Apr →
nuke10–13-0.0519%8 Apr →
anubis13–90.0121%6 Apr →
mirage7–13-0.0623%4 Apr →
mirage13–100.0024%27 Mar →
overpass8–130.0117%28 Feb →
mirage17–190.0015%26 Feb →
dust23–13-0.0122%20 Jan →
dust213–60.0523%13 Jan →
train11–130.0124%6 Jan →
overpass11–13-0.0126%26 Dec →
nuke13–6-0.0121%26 Dec →
overpass13–50.0824%26 Dec →
inferno3–13-0.0223%21 Dec →
ancient12–16-0.0329%10 Dec →
dust211–130.0425%10 Dec →
dust213–3-0.0326%22 Nov →
mirage10–13-0.0216%20 Nov →
mirage16–120.0918%19 Nov →
dust211–130.0113%19 Nov →
dust213–9-0.0318%18 Nov →
dust213–10-0.0231%18 Nov →
mirage13–30.0622%17 Nov →
mirage13–80.0217%17 Nov →
nuke13–90.0219%17 Nov →
overpass13–40.0528%16 Nov →
ancient10–130.0120%15 Nov →
ancient13–100.0222%13 Nov →
dust213–11-0.1011%13 Nov →
mirage13–60.0218%11 Nov →
train3–13-0.0327%8 Nov →
nuke8–130.0120%8 Nov →
inferno2–13-0.0227%8 Nov →
nuke6–13-0.0516%8 Nov →
dust213–110.0112%5 Nov →
ancient13–80.0417%3 Nov →
overpass13–8-0.0125%3 Nov →
dust213–90.0417%3 Nov →
overpass5–13-0.0317%1 Nov →
dust213–10-0.0017%1 Nov →
inferno13–110.0214%28 Oct →
ancient13–60.0418%27 Oct →
nuke13–40.0522%27 Oct →
train13–100.0622%27 Oct →
mirage16–130.0719%23 Oct →
ancient13–110.0620%23 Oct →
dust25–13-0.0323%23 Oct →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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