PhonyPanda

PhonyPanda — CS2 Stats

SG76561198068548031[U:1:108282303]Steam profile ↗✓ No bans

2,895Tracked matches53%Win rate2020Tracked since
CSDB Rating6.6 SolidAggressive Rifler
FaceitLevel 10 · 2,686 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGPhonyPandaFACEITLevel 10 · 2,686 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim82
Positioning56
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY53461Last 10053%Win rateLWWWLWLWLL

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.2
Aggression7.1
Utility5.3
Positioning5.6
Opening Duels3.9
Clutch3.4

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 94% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Areas to improve

Reaction time. 593ms 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

Aim8.2
Positioning5.6
Utility5.3
Mechanics7.4
Opening Duels3.9
Win Impact6.1

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time594ms−52ms
first ⅓ avg 646ms → last ⅓ avg 594ms
Headshot accuracy23.2%−1.4%
first ⅓ avg 24.6% → last ⅓ avg 23.2%

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 — mirage 13–4
130Biggest win — dust2
5Longest win streak
62In matches decided by ≤2 rounds
14Overtime games

Map breakdown

dust2Best map · 60% over 35infernoWeakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
dust2A35211460%0.01
mirageB27131448%0.02
infernoB115645%0.00
nukeB105550%-0.02
ancientB84450%0.02
overpass440100%0.03
anubis3030%-0.07
cache21150%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,895Matches
52%Win rate
1.07Avg K/D
83.5ADR
55%Headshot %

Clutches & streaks

37%1v1 clutch win
24%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage54544%0.9716.0
Dust244449%1.0217.0
Inferno32252%1.0816.9
Ancient21648%0.9615.8
Nuke16956%1.1417.4
Anubis12252%1.0016.5
Overpass5650%1.1417.3
Vertigo4062%1.0117.2

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.

23.3%Headshot accuracy
37.8%Accuracy (enemy spotted)
38.5%Spray accuracy
83.3%Counter-strafing
9.7°Preaim
593msReaction time
46.8%T opening success
44.6%CT opening success
0.55Enemies flashed / flash
8.2%Flash assists
8.30HE damage / grenade
12.01Flashes / match

Recommended for you

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.

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis1–13-0.1314%30 Aug
dust213–00.0541%29 Aug
mirage16–130.0621%29 Aug
inferno13–30.0526%28 Aug
inferno4–13-0.0317%24 Aug
cache13–50.0625%21 Aug
mirage9–13-0.0826%12 Aug
dust213–110.0421%9 Aug
mirage11–13-0.0230%7 Aug
mirage17–190.0126%4 Aug
dust213–60.0433%4 Aug
dust213–110.0424%1 Aug
nuke19–17-0.0413%31 Jul
dust213–9-0.0322%25 Jul
mirage13–5-0.0125%25 Jul
dust29–13-0.0130%25 Jul
dust210–130.0718%25 Jul
cache4–13-0.0119%22 Jul
mirage16–13-0.0123%22 Jul
nuke7–13-0.0821%18 Jul
mirage8–13-0.0223%18 Jul
ancient13–10.1026%18 Jul
ancient8–13-0.0324%18 Jul
inferno16–130.0223%10 Jul
anubis3–13-0.1218%7 Jul
dust213–80.0618%5 Jul
nuke13–40.0417%5 Jul
dust26–13-0.0910%5 Jul
anubis10–130.0436%5 Jul
dust213–50.0336%4 Jul
nuke13–4-0.0423%4 Jul
dust213–5-0.0016%4 Jul
mirage13–16-0.0222%4 Jul
nuke13–8-0.0325%4 Jul
inferno13–16-0.0125%29 Jun
dust213–60.0530%29 Jun
dust210–13-0.0123%6 Jun
dust213–5-0.0128%6 Jun
dust219–16-0.0625%1 Jun
mirage13–20.1429%24 May
dust26–13-0.0331%8 May
nuke2–130.0030%6 May
inferno2–13-0.0532%4 May
mirage8–13-0.0725%1 May
dust210–130.0021%29 Apr
dust216–13-0.0114%26 Apr
dust213–40.0625%19 Apr
mirage13–70.0124%16 Apr
dust213–90.0529%16 Apr
nuke5–13-0.0713%13 Apr
dust25–13-0.0319%12 Apr
dust213–80.0330%11 Apr
inferno6–13-0.0329%7 Apr
dust213–11-0.0123%3 Apr
mirage13–40.1621%3 Apr
mirage8–13-0.0421%28 Mar
ancient16–130.0319%27 Mar
mirage16–120.0527%27 Mar
dust213–60.0420%27 Mar
dust213–90.1529%22 Mar
mirage16–14-0.0311%21 Mar
inferno8–130.0035%15 Mar
inferno5–13-0.0811%14 Mar
nuke13–5-0.0526%14 Mar
mirage9–13-0.0115%14 Mar
dust29–13-0.0215%15 Feb
dust210–13-0.0713%11 Feb
ancient9–130.0417%11 Feb
overpass16–120.0326%11 Feb
dust23–13-0.0423%10 Feb
nuke9–130.0227%10 Feb
mirage8–130.0822%9 Feb
dust28–13-0.0426%8 Feb
mirage15–150.0818%8 Feb
overpass13–8-0.0023%5 Feb
ancient1–80.0330%5 Feb
overpass13–50.0418%5 Feb
mirage8–130.0722%5 Feb
nuke6–130.0225%3 Feb
dust213–50.0322%3 Feb
mirage13–40.0724%3 Feb
ancient13–110.0235%1 Feb
mirage7–13-0.0332%1 Feb
inferno13–80.0320%1 Feb
mirage13–7-0.0526%1 Feb
mirage13–70.0423%1 Feb
inferno13–20.0424%1 Feb
ancient13–30.0412%1 Feb
dust23–13-0.1012%1 Feb
mirage13–20.1138%1 Feb
dust28–130.0022%1 Feb
ancient8–13-0.0416%28 Jan
inferno13–80.1024%28 Jan
mirage8–130.0428%28 Jan
dust213–20.0332%27 Jan
overpass13–30.0523%21 Jan
mirage6–13-0.0435%11 Jan
mirage13–10-0.0123%10 Jan
dust23–130.0330%8 Jan
dust213–100.0134%8 Jan

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
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