FaZePanda

FaZePanda — CS2 Stats

BG76561199466314410[U:1:1506048682]Steam profile ↗✓ No bans

1,161Tracked matches42%Win rate2024Tracked since
3,165Hours in CS36Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
Premier CS Rating15,591Purple band · top ~26% of ranked players (population est.)
WingmanSupreme Master First Class
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: 15,591 -553 26 Sept – 4 Nov · 13 days played
13,54516,144peak 16,14426 Sept4 Nov
16,144Peak Premier in tracked matches
1,370Highest Faceit ELO seen on CSDB
28Days played since 2026-09-26

Faceit ELO

  • At peak — 1,370
  • Next: Level 8 at 1,531 — 161 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier CS Rating

  • 553 below peak (16,144)
  • +705 over 30 days · improving
  • Next: Pink band at 20,000 — 4,409 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.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate42.9%44.4%46.9%4.0% short
Shot accuracy1.6%11.9%13.0%11.4% short
Kill/death ratio1.021.031.080.06 short
Match win rate51.6%45.2%46.7%above

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFaZePandaPREMIER15,591 · Purple bandPEAK ELO1,370csdb.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

Aim60
Positioning70
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY47–46–7Last 10047%Win rateLLTLWWWWWW

Last 10 vs previous 10: +40pp win rate · −0.01 avg rating · −1.9pp headshot accuracy · +62ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 649ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 634ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 603ms

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 (+2.1 against its own average).

Aim6.0
Utility4.1
Positioning7.0
Opening Duels5.3
Clutch3.2

Limited utility dependence

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

s1mple

Plays most like s1mple 79% 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

Areas to improve

Reaction time. 592ms 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

Aim6.0
Positioning7.0
Utility4.1
Mechanics5.5
Opening Duels6.3
Win Impact2.4

Composite 5.5/10 (Solid), 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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time600ms+12ms
first ⅓ avg 588ms → last ⅓ avg 600ms
Headshot accuracy15.5%+1.5%
first ⅓ avg 14.1% → last ⅓ avg 15.5%

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

0.17Best match rating · 8–13 · dust2, 5 Oct →
28%Best headshot accuracy · 1–6 · mirage, 14 Oct →
422msFastest reaction time · 13–5 · inferno, 6 Oct →
13–0Biggest win · dust2, 10 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
6–6In matches decided by ≤2 rounds
2Overtime games

Map breakdown

nukeBest map · 60% over 15cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B2512–1348%0.02
nukeA159–660%0.03
infernoC114–736%0.02
anubisA116–555%0.01
ancientA95–456%0.02
mirageD93–633%-0.00
officeD62–433%0.04
cacheD51–420%0.02
overpass—41–325%0.02
italy—21–150%-0.01
train—22–0100%0.04
vertigo—11–0100%-0.04

Across the last 100 tracked matches.

Lifetime stats

53,492Lifetime kills
1.02K/D
3,783Matches
51.6%Match win rate · Top 10% of Purple band
42.9%Headshot %
1.6%Shot accuracy
11,514MVPs
1,049Hours (in match)
3,072Bombs planted
756Bombs defused

Most-used weapons

AK-4715,484
Negev3,868
P902,562
AWP2,485
MP71,565

Lifetime map wins

9,501nuke
4,025dust2
2,857inferno
2,852vertigo
554train
361office
200militia
193assault

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

Faceit stats

Combat

112Matches
57%Win rate
1.12Avg K/D
87.6ADR
40%Headshot %

Clutches & streaks

36%1v1 clutch win
16%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3757%1.0215.9
Dust22264%1.1817.1
Ancient1759%0.9814.8
Inferno1346%1.0417.5
Nuke956%1.7421.1
Anubis956%1.0716.9
Overpass20%0.8619.5
Cache2100%1.5818.0

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.

14.9%Headshot accuracy
32.8%Accuracy (enemy spotted)
35.7%Spray accuracy
74.6%Counter-strafing
8.9°Preaim
592msReaction time
52.8%T opening success
57.9%CT opening success
0.48Enemies flashed / flash
10.6%Flash assists
9.09HE damage / grenade
2.11Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.8524% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4846 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0115%4 Nov →
nuke7–90.0816%4 Nov →
overpass12–120.095%4 Nov →
overpass5–13-0.0824%4 Nov →
italy13–10.019%4 Nov →
ancient13–80.0219%3 Nov →
cache13–60.0114%3 Nov →
dust213–2-0.0320%3 Nov →
dust213–50.0615%3 Nov →
ancient13–40.0918%3 Nov →
ancient3–100.029%2 Nov →
train13–10.0224%2 Nov →
cache7–13-0.0024%29 Oct →
office1–120.0712%27 Oct →
dust25–130.0114%27 Oct →
dust26–130.0417%26 Oct →
nuke9–60.0221%25 Oct →
dust212–12-0.0221%22 Oct →
office10–130.0015%22 Oct →
inferno12–120.1617%22 Oct →
inferno4–13-0.028%22 Oct →
inferno6–130.0417%21 Oct →
anubis11–130.0311%20 Oct →
inferno10–130.015%20 Oct →
cache12–120.039%15 Oct →
dust23–13-0.0114%15 Oct →
dust213–9-0.0410%14 Oct →
mirage1–60.0328%14 Oct →
nuke13–70.0619%11 Oct →
dust26–13-0.0911%11 Oct →
nuke13–110.0916%11 Oct →
inferno13–60.1120%11 Oct →
inferno11–13-0.0818%11 Oct →
anubis16–140.0012%11 Oct →
inferno13–9-0.0023%11 Oct →
inferno13–70.0116%11 Oct →
mirage1–13-0.144%11 Oct →
dust213–00.006%10 Oct →
dust212–120.009%10 Oct →
dust213–80.0724%10 Oct →
nuke13–40.1217%9 Oct →
dust28–130.027%9 Oct →
vertigo13–11-0.0413%9 Oct →
dust213–110.0622%8 Oct →
dust213–30.0712%8 Oct →
nuke13–3-0.0115%8 Oct →
nuke13–8-0.0114%7 Oct →
office6–130.0218%7 Oct →
anubis9–10.1310%7 Oct →
anubis13–70.0314%7 Oct →
office13–30.0414%7 Oct →
anubis13–30.016%7 Oct →
nuke10–13-0.0013%7 Oct →
ancient7–13-0.0520%7 Oct →
anubis11–130.0312%6 Oct →
inferno13–50.0121%6 Oct →
overpass13–40.0823%6 Oct →
overpass7–13-0.0211%6 Oct →
nuke13–5-0.0113%5 Oct →
nuke13–40.0120%5 Oct →
cache12–120.0711%5 Oct →
anubis5–13-0.0516%5 Oct →
nuke7–130.0325%5 Oct →
nuke3–130.1320%5 Oct →
dust28–130.1721%5 Oct →
dust213–60.1023%5 Oct →
nuke5–13-0.0111%4 Oct →
office9–130.1012%4 Oct →
office8–6-0.0124%4 Oct →
dust211–130.0414%4 Oct →
dust213–70.0310%4 Oct →
dust27–130.0112%4 Oct →
dust26–13-0.0511%4 Oct →
inferno7–130.0014%3 Oct →
mirage13–10-0.0111%3 Oct →
mirage16–12-0.013%3 Oct →
ancient13–70.0411%2 Oct →
ancient13–2-0.024%2 Oct →
train13–70.0612%2 Oct →
italy12–12-0.038%2 Oct →
dust22–80.0320%1 Oct →
cache10–130.0210%1 Oct →
ancient13–40.0717%1 Oct →
ancient10–130.0613%1 Oct →
anubis5–8-0.0214%1 Oct →
mirage11–13-0.0419%1 Oct →
mirage7–130.1315%1 Oct →
anubis13–11-0.0418%30 Sept →
anubis13–5-0.0113%30 Sept →
ancient5–13-0.0520%29 Sept →
dust213–90.0325%28 Sept →
mirage4–13-0.0624%28 Sept →
dust24–13-0.0621%28 Sept →
dust213–30.037%28 Sept →
mirage9–130.0314%27 Sept →
dust213–60.0613%27 Sept →
nuke6–9-0.1220%26 Sept →
nuke13–20.1018%26 Sept →
mirage13–70.048%26 Sept →
anubis1–13-0.0410%26 Sept →

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.