Pandabar

Pandabar — CS2 Stats

AT76561198277056496[U:1:316790768]Steam profile ↗✓ No bans

1,461Tracked matches52%Win rate2020Tracked since
2,591Hours in CS14Hrs last 2 wks
CSDB Rating6.7 SolidAll-Rounder
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (25 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,641 → 1,641
+23Tracked matches · now 1,461
+5.7ppWin rate · 46.2% → 51.8%

Rating over time

1,641Highest Faceit ELO seen on CSDB
34Days played since 2026-02-21

Faceit ELO

  • At peak — 1,641
  • Next: Level 9 at 1,751 — 110 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-15
  • Level 7 first seen 2026-09-15

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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
Matches39——
Win rate54%——
K/D1.35——
Headshot %49%——

Measured 14 Sep 2026 → 10 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.

Share this profile

CSDB.GGPandabarPEAK ELO1,641csdb.gg/stats

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Performance scores

Aim79
Positioning69
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY45–42–13Last 10045%Win rateLLWWLWWLLL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −2.3pp headshot accuracy · +34ms 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 16%
  • Avg reaction 500ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 16%
  • Avg reaction 499ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 482ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.9
Utility6.9
Positioning6.9
Opening Duels6.1
Clutch5.4

Effective flashes

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 85% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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

Aim7.9
Positioning6.9
Utility6.9
Mechanics7.0
Opening Duels6.3
Win Impact5.6

Composite 6.7/10 (Solid), 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 rating0.04+0.01
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time507ms−22ms
first ⅓ avg 530ms → last ⅓ avg 507ms
Headshot accuracy18.3%−0.2%
first ⅓ avg 18.5% → last ⅓ avg 18.3%

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

0.37Best match rating · 9–1 · inferno, 9 Oct →
50%Best headshot accuracy · 13–4 · inferno, 21 Feb →
344msFastest reaction time · 9–3 · inferno, 25 Apr →
13–3Biggest win · cache, 3 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
5–8In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 57% over 28ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoA2816–1257%0.05
nukeD155–1033%0.03
overpassB147–750%0.06
cacheB137–654%0.03
dust2D93–633%0.03
anubisB63–350%0.05
ancientD61–517%0.03
mirage—41–325%-0.02
debris—21–150%0.08
vertigo—11–0100%0.06
eldorado—10–10%0.03
poseidon—10–10%-0.12

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

138,753Lifetime kills
1.64K/D · Top 5% of tracked players
4,695Matches
45.9%Match win rate · Top 50% of tracked players
53.5%Headshot % · Top 25% of tracked players
7.9%Shot accuracy
16,034MVPs
2,207Hours (in match)
4,698Bombs planted
1,112Bombs defused

Most-used weapons

AK-4766,065
AWP15,715
MP92,451
UMP-451,758
FAMAS1,721

Lifetime map wins

6,473inferno
4,040dust2
3,719nuke
3,322train
2,552cbble
2,320vertigo
270office
147assault

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

Faceit stats

Combat

129Matches
61%Win rate
1.54Avg K/D
101.1ADR
48%Headshot %

Clutches & streaks

47%1v1 clutch win
31%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust22959%1.5921.8
Nuke2361%1.5718.8
Ancient1656%1.4921.5
Inferno1567%1.5217.8
Anubis1471%1.5217.9
Train1275%1.6417.7
Mirage1250%1.5819.0
Overpass743%1.1517.3

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.

16.5%Headshot accuracy
35.5%Accuracy (enemy spotted)
37.5%Spray accuracy
81.5%Counter-strafing
8.5°Preaim
518msReaction time
49.3%T opening success
61.1%CT opening success
0.74Enemies flashed / flash
5.3%Flash assists
8.38HE damage / grenade
12.16Flashes / match

Recommended for you

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache11–130.0414%9 Oct →
nuke9–13-0.0422%9 Oct →
overpass9–60.1012%9 Oct →
vertigo9–50.0621%9 Oct →
nuke5–9-0.0312%9 Oct →
inferno9–10.3715%9 Oct →
anubis13–80.0312%3 Oct →
mirage6–13-0.0318%3 Oct →
inferno6–90.0316%3 Oct →
inferno6–9-0.0721%3 Oct →
cache13–80.1016%2 Oct →
nuke11–130.0318%2 Oct →
dust213–60.1931%2 Oct →
ancient6–130.0117%2 Oct →
inferno13–50.1020%2 Oct →
anubis6–130.0113%2 Oct →
mirage13–6-0.0212%27 Sept →
ancient8–130.0121%27 Sept →
ancient13–60.0417%27 Sept →
debris2–9-0.0719%27 Sept →
anubis13–70.2118%26 Sept →
mirage12–120.0321%26 Sept →
dust24–13-0.0324%26 Sept →
eldorado8–80.0317%28 Aug →
debris9–20.2427%28 Aug →
poseidon2–9-0.1233%28 Aug →
cache9–130.0121%3 Jul →
cache12–120.0122%26 Jun →
dust26–130.0110%22 May →
dust24–13-0.0913%20 May →
overpass8–80.0115%19 May →
inferno9–50.1420%19 May →
inferno9–50.1216%13 May →
overpass4–9-0.144%13 May →
inferno6–90.0917%11 May →
dust210–130.0314%8 May →
overpass8–8-0.023%8 May →
nuke9–40.1222%8 May →
inferno9–70.0223%8 May →
nuke9–40.1816%5 May →
inferno8–80.0617%5 May →
overpass9–40.2320%4 May →
inferno9–60.0716%4 May →
cache12–120.0511%3 May →
cache7–20.0425%3 May →
cache13–90.0215%3 May →
cache13–30.0118%3 May →
cache13–100.039%3 May →
cache13–4-0.0116%30 Apr →
inferno13–11-0.0215%30 Apr →
cache13–50.018%30 Apr →
cache11–130.0311%30 Apr →
inferno8–80.0511%30 Apr →
inferno9–60.058%30 Apr →
cache2–13-0.0015%30 Apr →
inferno9–70.1116%29 Apr →
overpass7–90.0111%29 Apr →
nuke4–9-0.1122%29 Apr →
inferno8–80.0817%29 Apr →
ancient11–130.0816%25 Apr →
overpass9–70.1016%25 Apr →
nuke9–50.1015%25 Apr →
inferno9–30.0843%25 Apr →
anubis6–130.0427%24 Apr →
nuke13–90.0122%24 Apr →
nuke3–9-0.0017%21 Apr →
overpass8–80.0310%21 Apr →
inferno3–9-0.123%21 Apr →
overpass9–30.1510%18 Apr →
inferno9–10.1919%18 Apr →
nuke7–90.0711%18 Apr →
dust213–80.0514%17 Apr →
inferno8–130.0316%17 Apr →
overpass12–120.0713%17 Apr →
ancient6–13-0.0218%11 Apr →
nuke12–12-0.0113%11 Apr →
inferno9–20.0729%11 Apr →
overpass8–80.0913%7 Apr →
inferno9–10.2817%7 Apr →
nuke9–30.1343%7 Apr →
overpass9–8-0.0425%3 Apr →
anubis13–80.0433%3 Apr →
inferno13–8-0.0420%3 Apr →
nuke11–130.046%21 Mar →
inferno6–9-0.167%21 Mar →
overpass9–50.238%13 Mar →
inferno5–9-0.0726%13 Mar →
nuke5–9-0.008%13 Mar →
nuke7–90.017%12 Mar →
inferno1–9-0.1120%12 Mar →
inferno3–9-0.1319%12 Mar →
anubis7–13-0.0219%6 Mar →
ancient5–130.0618%6 Mar →
dust25–130.0127%6 Mar →
mirage1–13-0.0414%24 Feb →
dust28–130.0134%24 Feb →
overpass13–30.0421%24 Feb →
inferno13–90.0520%22 Feb →
inferno13–40.0750%21 Feb →
dust213–50.109%21 Feb →

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 →

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