CellularPanda

CellularPanda — CS2 Stats

US76561198042956637[U:1:82690909]Steam profile ↗✓ No bans

1,418Tracked matches41%Win rate2020Tracked since
2,543Hours in CS3Hrs last 2 wks
CSDB Rating4.9 DevelopingHybrid Rifler
Premier CS Rating12,774Blue band · top ~40.2% of ranked players (population est.)
CSDB Leaderboard#22494 of 33078 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate29.1%41.7%44.1%15.0% short
Shot accuracy18.2%8.8%11.4%above
Kill/death ratio1.110.971.03above
Match win rate47.3%43.8%45.2%above

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGCellularPandaPREMIER12,774 · Blue bandcsdb.gg/stats

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Performance scores

Aim61
Positioning54
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY46513Last 10046%Win rateWWLLWLWLWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.1
Aggression8.8
Utility4.5
Positioning5.4
Opening Duels4.0

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.

Your pro match

ropz

Plays most like ropz 85% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: higher opening-fight frequency; 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. 644ms 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

Aim6.1
Positioning5.4
Utility4.5
Mechanics6.7
Opening Duels4.0
Win Impact2.1

Composite 4.9/10 (Developing), 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 rating0.02+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time658ms−23ms
first ⅓ avg 681ms → last ⅓ avg 658ms
Headshot accuracy9.4%+1.5%
first ⅓ avg 8.0% → last ⅓ avg 9.4%

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.

Highlights

0.16Best rating — train 13–6
133Biggest win — cache
5Longest win streak
W2Current streak
714In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 67% over 6nukeWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
infernoB27141352%0.02
ancientB26131350%0.01
anubisC1881044%0.01
nukeD1441029%0.02
cacheS64267%0.06
mirage32167%-0.02
dust23030%-0.01
train31233%0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,321Lifetime kills
1.11K/D · Top 25% of Blue band
3,770Matches
47.3%Match win rate · Top 25% of Blue band
29.1%Headshot %
18.2%Shot accuracy · Top 5% of Blue band
8,778MVPs
1,549Hours (in match)
4,287Bombs planted
909Bombs defused

Most-used weapons

AK-4722,254
AWP2,849
FAMAS2,311
AUG2,056
P2501,756

Lifetime map wins

16,352inferno
3,696nuke
2,045dust2
301cbble
178vertigo
68aztec
52office
40train

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

9.4%Headshot accuracy
40.5%Accuracy (enemy spotted)
44.2%Spray accuracy
80.3%Counter-strafing
12.0°Preaim
644msReaction time
47.6%T opening success
44.2%CT opening success
0.59Enemies flashed / flash
7.2%Flash assists
8.10HE damage / grenade
3.48Flashes / 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 9.3781% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.4787 — below the 4 mark we flag

    Grenade Lineups
Spend your practice time on Nuke

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–80.0314%26 Aug
ancient16–14-0.008%23 Aug
inferno11–13-0.055%23 Aug
dust27–130.0114%16 Aug
cache13–70.0611%11 Aug
inferno6–130.0410%11 Aug
cache13–90.0410%8 Aug
anubis11–130.0114%8 Aug
inferno13–50.1216%8 Aug
anubis13–50.0510%8 Aug
nuke2–13-0.049%7 Aug
anubis9–13-0.025%7 Aug
ancient11–13-0.033%7 Aug
anubis15–15-0.034%6 Aug
ancient7–130.0412%6 Aug
inferno10–130.028%5 Aug
ancient9–130.036%5 Aug
cache13–30.0716%4 Aug
anubis5–130.0215%4 Aug
cache13–60.066%2 Aug
ancient11–130.069%2 Aug
nuke5–13-0.039%2 Aug
inferno9–13-0.0519%2 Aug
ancient13–110.065%1 Aug
ancient0–13-0.058%1 Aug
cache6–130.058%1 Aug
inferno13–100.0211%1 Aug
inferno5–13-0.063%1 Aug
anubis16–120.029%1 Aug
inferno13–80.1112%31 Jul
inferno13–60.098%31 Jul
dust210–13-0.025%29 Jun
ancient13–5-0.039%16 May
anubis13–30.0110%16 May
nuke9–13-0.057%16 May
anubis13–100.0614%16 May
nuke13–80.108%11 May
ancient13–90.0113%11 May
inferno13–80.0619%10 May
nuke10–13-0.0218%10 May
inferno13–11-0.023%2 May
inferno13–10-0.013%2 May
nuke11–130.095%2 May
cache9–130.0611%29 Apr
anubis6–130.0411%2 Apr
ancient13–160.0610%2 Apr
ancient13–4-0.008%21 Aug
train0–2-0.120%21 Aug
anubis4–13-0.066%19 May
ancient11–13-0.0111%8 May
inferno16–140.029%6 May
mirage9–13-0.0117%24 Feb
nuke8–130.0610%24 Feb
ancient13–70.056%13 Feb
ancient13–60.078%13 Feb
ancient13–40.0212%13 Feb
inferno13–70.005%9 Feb
ancient4–13-0.027%9 Feb
nuke8–13-0.015%9 Feb
inferno14–16-0.018%4 Feb
nuke7–130.016%4 Feb
inferno13–110.066%4 Feb
inferno8–13-0.037%29 Jan
ancient13–100.017%29 Jan
nuke11–130.048%27 Jan
train13–60.169%27 Jan
train4–13-0.035%27 Jan
inferno13–60.0610%27 Jan
mirage13–8-0.080%26 Jan
anubis8–130.039%24 Jan
ancient13–7-0.0410%24 Jan
inferno4–13-0.050%24 Jan
ancient6–130.055%22 Jan
anubis4–13-0.0611%22 Jan
dust210–13-0.031%22 Jan
inferno13–110.039%20 Jan
anubis16–130.039%20 Jan
ancient13–50.015%20 Jan
ancient13–5-0.052%20 Jan
anubis13–80.075%20 Jan
ancient14–16-0.0415%17 Jan
ancient14–16-0.016%17 Jan
nuke13–70.0814%16 Jan
anubis13–80.058%16 Jan
ancient12–16-0.0112%15 Jan
ancient8–130.026%15 Jan
anubis11–130.0414%14 Jan
inferno10–130.0115%14 Jan
nuke8–13-0.022%11 Jan
inferno13–90.036%11 Jan
inferno11–130.0111%9 Jan
anubis13–90.029%8 Jan
inferno15–150.0313%8 Jan
inferno15–150.027%7 Jan
inferno13–100.007%7 Jan
inferno10–130.0512%31 Dec
ancient13–80.149%30 Dec
nuke13–40.087%30 Dec
anubis14–16-0.034%19 Dec
nuke13–110.039%19 Dec

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 →