Sad_Panda — CS2 Stats

76561199855529534[U:1:1895263806]

1,189Tracked matches43%Win rate2025Tracked since
1,889Hours in CS92Hrs last 2 wks
CSDB Rating4.7 Developing
Premier CS Rating12,978Blue band · top ~39.1% of ranked players (population est.)
CSDB Leaderboard#22618 of 33489 tracked
FaceitLevel 7 · 977 ELOTop 42.3% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=1,022), 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 7 medianLevel 8 medianvs Level 8
Headshot rate38.2%46.2%47.2%9.0% short
Shot accuracy0.0%12.5%12.3%12.3% short
Kill/death ratio1.061.061.07meets
Match win rate46.9%45.9%46.3%meets

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSad_PandaFACEITLevel 7 · 977 ELOSTANDINGTop 42.3% of rankedPREMIER12,978 · Blue bandcsdb.gg/stats

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Performance scores

Aim59
Positioning58
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY46513Last 10046%Win rateLWWWLWWLLW

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating

Player DNA

Aim5.9
Aggression7.5
Utility5.2
Positioning5.8
Opening Duels3.3
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.

Your pro match

ropz

Plays most like ropz 88% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 53% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 593ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.9
Positioning5.8
Utility5.2
Mechanics4.1
Opening Duels3.3
Win Impact2.8

Composite 4.7/10 (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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time607ms−73ms
first ⅓ avg 680ms → last ⅓ avg 607ms
Headshot accuracy16.1%+2.2%
first ⅓ avg 14.0% → last ⅓ avg 16.1%

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

0.15Best rating — dust2 13–10
134Biggest win — inferno
4Longest win streak
910In matches decided by ≤2 rounds
15Overtime games

Map breakdown

cacheBest map · 64% over 11nukeWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2D30102033%0.01
infernoA2012860%-0.01
mirageB126650%0.01
cacheA117464%-0.02
ancientB115645%0.03
nukeD71614%-0.01
anubisA74357%0.01
poseidon21150%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,958Lifetime kills
1.06K/D
2,160Matches
46.9%Match win rate · Top 50% of Level 7 players
38.2%Headshot %
0.0%Shot accuracy
5,168MVPs
1,024Hours (in match)
2,280Bombs planted
908Bombs defused

Most-used weapons

Lifetime map wins

5,744dust2
4,162inferno
1,771nuke
333train
94vertigo
5ar_shoots
4office
2ar_baggage

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

Faceit stats

Combat

224Matches
48%Win rate
1.07Avg K/D
82.5ADR
36%Headshot %

Clutches & streaks

38%1v1 clutch win
25%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust25553%1.0516.1
Inferno4255%1.1217.6
Ancient3647%1.2220.0
Mirage3037%0.8814.2
Cache2462%1.0715.3
Anubis1942%1.1517.6
Nuke1527%1.0017.5
Overpass20%0.8614.0

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.

16.1%Headshot accuracy
36.3%Accuracy (enemy spotted)
39.7%Spray accuracy
68.5%Counter-strafing
10.9°Preaim
593msReaction time
33.3%T opening success
53.2%CT opening success
0.35Enemies flashed / flash
8.2%Flash assists
16.99HE damage / grenade
7.34Flashes / 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. 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 0.3498 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 33.2744% — below the 40% mark we flag

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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno9–130.0610%29 Aug
inferno13–8-0.019%29 Aug
cache13–9-0.0115%28 Aug
inferno16–14-0.0114%26 Aug
nuke9–13-0.0218%24 Aug
cache13–6-0.0014%24 Aug
ancient13–80.0616%24 Aug
ancient7–130.0115%24 Aug
dust211–13-0.0220%23 Aug
ancient13–80.0216%23 Aug
ancient5–13-0.0214%22 Aug
ancient23–250.0515%21 Aug
dust213–7-0.076%21 Aug
dust27–13-0.0315%21 Aug
anubis4–13-0.0412%16 Aug
dust27–13-0.0416%16 Aug
nuke2–13-0.0433%16 Aug
inferno12–16-0.0411%16 Aug
dust213–8-0.0232%15 Aug
dust214–160.0216%15 Aug
nuke8–13-0.0518%15 Aug
nuke13–90.0415%15 Aug
dust211–130.0113%15 Aug
cache8–130.0135%15 Aug
inferno16–120.0317%15 Aug
anubis8–130.0213%15 Aug
cache19–17-0.0113%14 Aug
ancient16–120.0422%14 Aug
dust24–13-0.048%14 Aug
poseidon4–9-0.0116%13 Aug
poseidon9–7-0.0313%13 Aug
dust213–70.0118%13 Aug
dust211–130.0314%13 Aug
mirage6–13-0.0720%13 Aug
inferno2–13-0.078%13 Aug
cache13–5-0.038%13 Aug
mirage5–13-0.0122%13 Aug
ancient13–11-0.0010%13 Aug
dust27–13-0.084%13 Aug
mirage13–70.0618%12 Aug
inferno7–9-0.018%12 Aug
inferno4–9-0.1212%12 Aug
dust26–130.0213%12 Aug
ancient10–130.1116%12 Aug
inferno13–110.0610%12 Aug
dust29–13-0.008%12 Aug
inferno13–4-0.057%11 Aug
anubis13–80.097%11 Aug
inferno4–13-0.0117%11 Aug
dust23–130.0019%11 Aug
dust213–160.0311%11 Aug
nuke7–130.018%11 Aug
mirage11–130.0513%4 Aug
dust213–90.0816%4 Aug
anubis16–13-0.018%4 Aug
inferno13–8-0.007%4 Aug
dust26–130.0220%4 Aug
mirage11–130.0517%4 Aug
dust24–130.0325%3 Aug
cache8–130.0115%3 Aug
mirage13–90.0613%3 Aug
mirage13–10-0.0213%3 Aug
mirage13–60.0311%3 Aug
cache13–9-0.073%3 Aug
dust22–13-0.025%31 Jul
anubis13–6-0.016%31 Jul
dust213–70.0419%31 Jul
cache8–13-0.0111%30 Jul
inferno5–130.0013%30 Jul
inferno13–60.0110%30 Jul
anubis15–15-0.015%30 Jul
inferno13–40.0612%30 Jul
dust29–130.0014%30 Jul
mirage4–13-0.0522%29 Jul
cache16–14-0.0511%29 Jul
dust213–40.0515%29 Jul
dust215–150.0517%29 Jul
mirage13–100.0429%29 Jul
dust213–40.0714%28 Jul
mirage13–70.0721%28 Jul
cache16–140.0413%28 Jul
mirage8–13-0.0410%28 Jul
ancient8–13-0.018%28 Jul
dust211–13-0.0410%27 Jul
inferno15–15-0.0215%27 Jul
dust210–130.0613%27 Jul
dust213–11-0.0212%27 Jul
cache11–13-0.069%26 Jul
dust26–13-0.0514%26 Jul
inferno13–10-0.0615%26 Jul
inferno13–9-0.0614%26 Jul
ancient13–60.1013%26 Jul
nuke8–130.0111%26 Jul
dust29–10.0021%26 Jul
inferno13–110.0818%25 Jul
inferno13–90.0316%25 Jul
dust213–100.1515%25 Jul
nuke8–13-0.0516%25 Jul
anubis13–100.0610%25 Jul
ancient12–160.0313%25 Jul

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 →