PandaK

PandaK — CS2 Stats

LV76561198049444225[U:1:89178497]Steam profile ↗✓ No bans

4,067Tracked matches47%Win rate2020Tracked since
5,581Hours in CS38Hrs last 2 wks
CSDB Rating5.1 DevelopingSupport
Premier CS Rating26,227Top 10% of 215,386 CSDB-tracked playersRed band · top ~2.4% of ranked players (population est.)
CSDB Leaderboard#12309 of 261572 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 2 Nov 2026 (12 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: 26,227 -65 15 Jun – 2 Nov · 33 days played
23,68228,450peak 28,45015 Jun2 Nov
Faceit ELO: 2,580 +0 13 Sept – 21 Sept · 2 observations
2,5802,580peak 2,58013 Sept21 Sept
28,721Peak Premier in tracked matches
2,580Highest Faceit ELO seen on CSDB
44Days played since 2026-06-15

Premier CS Rating

  • 2,223 below peak (28,450)
  • -349 over 30 days · steady
  • +2,545 over 90 days
  • Next: Gold band at 30,000 — 3,773 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-13
  • Pink band first seen 2026-09-13

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.

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 rate51.7%46.8%48.2%above
Shot accuracy11.6%13.0%13.2%1.6% short
Kill/death ratio1.031.061.070.04 short
Match win rate49.8%46.3%46.9%above

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGPandaKFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER26,227 · Red bandPEAK ELO2,580csdb.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

Aim61
Positioning50
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY57–43Last 10057%Win rateWLWLLWLLWW

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +5.3pp headshot accuracy · −58ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 28%
  • Avg reaction 487ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 487ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 516ms

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 (+2.1 against its own average).

Aim6.1
Utility5.7
Positioning5.0
Opening Duels0.0
Clutch3.6

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

iM

Plays most like iM 75% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.1
Positioning5.0
Utility5.7
Mechanics4.6
Opening Duels1.0
Win Impact3.9

Composite 5.1/10 (Developing), 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 rating-0.00−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time528ms−45ms
first ⅓ avg 573ms → last ⅓ avg 528ms
Headshot accuracy19.7%−3.3%
first ⅓ avg 23.0% → 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

0.14Best match rating · 9–13 · ancient, 21 Jun →
39%Best headshot accuracy · 9–6 · poseidon, 24 Oct →
313msFastest reaction time · 2–13 · ancient, 22 Aug →
13–0Biggest win · dust2, 10 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
11–4In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 68% over 25infernoWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2S2517–868%-0.00
ancientA2212–1055%0.01
infernoD124–833%0.01
nukeS128–467%0.01
mirageB126–650%-0.01
cacheA95–456%-0.00
anubisB63–350%-0.01
poseidon—11–0100%0.10
overpass—11–0100%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

170,465Lifetime kills
1.03K/D
6,307Matches
49.8%Match win rate · Top 25% of Level 8 players
51.7%Headshot % · Top 50% of Level 8 players
11.6%Shot accuracy
16,848MVPs
4,716Hours (in match)
10,903Bombs planted
1,957Bombs defused

Most-used weapons

AK-4752,556
AWP11,852
MP96,027
MAC-105,737
Knife4,467

Lifetime map wins

13,130nuke
12,069dust2
11,549inferno
2,740vertigo
2,411train
89office
67cbble
34italy

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

Faceit stats

Combat

3,374Matches
51%Win rate
1.13Avg K/D
76.9ADR
48%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient39447%1.0915.9
Dust234053%1.0915.2
Mirage33646%1.1015.1
Nuke19155%1.1716.8
Inferno17858%1.0915.8
Anubis9043%0.9815.4
Overpass8757%1.1915.9
Vertigo8448%0.9514.8

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.

19.5%Headshot accuracy
32.6%Accuracy (enemy spotted)
32.5%Spray accuracy
70.6%Counter-strafing
10.4°Preaim
532msReaction time
35.2%T opening success
33.1%CT opening success
0.52Enemies flashed / flash
4.7%Flash assists
8.41HE damage / grenade
9.07Flashes / 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

    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 35.1974% — below the 40% mark we flag

Spend your practice time on Inferno

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust219–160.0221%8 Nov →
ancient11–130.0318%5 Nov →
inferno13–100.0628%2 Nov →
dust23–130.0835%29 Oct →
nuke4–13-0.0636%29 Oct →
cache13–3-0.099%26 Oct →
mirage13–160.0518%26 Oct →
inferno3–13-0.0330%26 Oct →
mirage16–140.0417%26 Oct →
dust213–9-0.0124%25 Oct →
cache4–13-0.0312%25 Oct →
poseidon9–60.1039%24 Oct →
dust213–60.0020%24 Oct →
cache13–7-0.0419%24 Oct →
ancient1–13-0.0820%23 Oct →
mirage0–13-0.1013%23 Oct →
anubis13–100.0611%23 Oct →
ancient13–6-0.068%23 Oct →
anubis3–13-0.0126%22 Oct →
inferno13–11-0.0115%21 Oct →
inferno8–130.0618%21 Oct →
mirage5–13-0.0220%19 Oct →
cache9–13-0.0119%18 Oct →
anubis4–13-0.0623%17 Oct →
cache11–13-0.0221%17 Oct →
cache13–70.0314%17 Oct →
dust28–13-0.0517%17 Oct →
dust211–130.0221%16 Oct →
mirage13–8-0.0117%16 Oct →
anubis10–1-0.0118%16 Oct →
inferno13–40.0021%14 Oct →
anubis13–40.029%14 Oct →
mirage13–90.0514%14 Oct →
nuke13–6-0.0020%11 Oct →
dust213–0-0.0318%10 Oct →
cache13–3-0.0317%10 Oct →
ancient10–13-0.0423%7 Oct →
dust20–13-0.140%7 Oct →
nuke6–13-0.0819%3 Oct →
cache4–130.1117%1 Oct →
inferno9–12-0.0432%30 Sept →
nuke7–130.0115%27 Sept →
ancient13–6-0.0234%27 Sept →
mirage4–13-0.0515%26 Sept →
mirage5–13-0.0513%26 Sept →
ancient13–6-0.0414%25 Sept →
ancient2–130.0022%22 Aug →
mirage13–8-0.0220%19 Aug →
mirage13–10-0.0627%19 Aug →
ancient16–120.0428%19 Aug →
dust213–11-0.0026%19 Aug →
dust213–100.0833%19 Aug →
ancient9–130.0326%19 Aug →
dust213–6-0.0129%18 Aug →
dust213–80.0231%18 Aug →
nuke13–60.0519%18 Aug →
ancient13–30.0618%18 Aug →
ancient8–130.0217%18 Aug →
dust213–11-0.0028%18 Aug →
ancient13–60.0025%17 Aug →
inferno13–40.0531%17 Aug →
nuke13–70.0830%17 Aug →
nuke13–11-0.0316%17 Aug →
ancient13–70.0319%17 Aug →
nuke13–80.0220%10 Aug →
dust213–6-0.0228%20 Jul →
inferno14–16-0.0429%14 Jul →
ancient13–70.0024%14 Jul →
dust216–140.0315%14 Jul →
anubis4–7-0.0528%13 Jul →
ancient13–30.0320%11 Jul →
dust213–7-0.0120%11 Jul →
mirage10–130.0120%9 Jul →
cache13–40.0520%8 Jul →
ancient2–13-0.0415%28 Jun →
ancient6–13-0.0118%28 Jun →
dust213–1-0.0627%28 Jun →
dust213–6-0.1224%28 Jun →
ancient13–30.0116%28 Jun →
ancient10–130.0210%28 Jun →
dust26–13-0.0334%27 Jun →
dust29–13-0.0024%27 Jun →
dust26–13-0.0236%24 Jun →
dust213–110.0620%24 Jun →
dust213–80.1328%24 Jun →
dust24–13-0.0414%23 Jun →
ancient16–140.0839%23 Jun →
mirage16–14-0.0117%22 Jun →
ancient16–140.0619%22 Jun →
inferno10–130.0527%21 Jun →
dust213–9-0.0222%21 Jun →
nuke9–13-0.0118%21 Jun →
ancient9–130.1423%21 Jun →
inferno9–130.0424%21 Jun →
nuke16–120.0231%17 Jun →
nuke16–120.0416%17 Jun →
inferno10–130.0633%16 Jun →
nuke13–110.1428%16 Jun →
inferno12–16-0.0519%15 Jun →
overpass13–10-0.0229%15 Jun →

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.