Panaa ☆ — CS2 Stats

76561198798947388[U:1:838681660]

475Tracked matches43%Win rate2022Tracked since
2,336Hours in CS6Hrs last 2 wks
CSDB Rating5.7 SolidHybrid Rifler
Premier CS Rating19,411Purple band · top ~10.8% of ranked players (population est.)
CSDB Leaderboard#6941 of 14222 tracked
FaceitLevel 8 · 1,700 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGPanaa ☆FACEITLevel 8 · 1,700 ELOSTANDINGTop 31.2% of rankedPREMIER19,411 · Purple bandcsdb.gg/stats

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Performance scores

Aim66
Positioning60
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY44497Last 10044%Win rateLTLWWLWWLW

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

Player DNA

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

Aim6.6
Aggression9.6
Utility6.2
Positioning6.0
Opening Duels4.2
Clutch4.2

Strong CT-side openerEffective flashes

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

device

Plays most like device 92% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 55% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.6
Positioning6.0
Utility6.2
Mechanics6.1
Opening Duels4.2
Win Impact2.6

Composite 5.7/10 (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 rating0.05+0.03
first ⅓ avg 0.02 → last ⅓ avg 0.05
Reaction time533ms+11ms
first ⅓ avg 522ms → last ⅓ avg 533ms
Headshot accuracy17.7%+1.1%
first ⅓ avg 16.6% → last ⅓ avg 17.7%

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

0.24Best rating — nuke 9–1
130Biggest win — inferno
4Longest win streak
611In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 75% over 8ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoC34142041%0.01
mirageB189950%0.03
dust2C135838%0.03
nukeC125742%0.04
cacheS86275%0.04
ancientD62433%0.01
overpass41325%0.11
anubis32167%0.03
italy2020%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,930Lifetime kills
1.22K/D · Top 25% of tracked players
2,086Matches
47.6%Match win rate · Top 50% of tracked players
44.5%Headshot %
7.8%Shot accuracy
6,005MVPs
1,878Hours (in match)
2,259Bombs planted
584Bombs defused

Most-used weapons

Lifetime map wins

4,003inferno
3,491dust2
1,374office
1,274nuke
449train
123vertigo
114lake
41ar_shoots

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

Faceit stats

Combat

130Matches
57%Win rate
1.29Avg K/D
86.5ADR
43%Headshot %

Clutches & streaks

41%1v1 clutch win
28%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4360%1.3317.5
Dust22846%1.3519.2
Inferno2162%1.0815.5
Nuke1765%1.4416.4
Anubis650%1.3620.0
Overpass540%1.0314.6
Ancient5100%1.3120.8
Train20%0.7415.5

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.

17.0%Headshot accuracy
31.6%Accuracy (enemy spotted)
33.9%Spray accuracy
77.2%Counter-strafing
9.1°Preaim
546msReaction time
38.1%T opening success
55.2%CT opening success
0.77Enemies flashed / flash
8.9%Flash assists
7.73HE damage / grenade
8.72Flashes / 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. 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 38.1174% — below the 40% mark we flag

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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
italy11–130.0320%17 Aug
dust215–150.0223%14 Aug
cache2–13-0.0317%14 Aug
mirage13–110.0115%3 Aug
cache13–8-0.0122%3 Aug
dust21–50.070%3 Aug
inferno9–50.1930%3 Aug
mirage13–20.0317%2 Aug
mirage14–16-0.0124%2 Aug
nuke9–00.1816%2 Aug
nuke5–90.1213%2 Aug
dust213–11-0.0320%23 Jul
ancient3–13-0.0117%23 Jul
cache13–100.0815%23 Jul
cache15–150.0711%22 Jul
inferno13–90.0817%22 Jul
cache13–30.1222%22 Jul
nuke2–130.0233%22 Jul
ancient2–130.0111%22 Jul
nuke11–13-0.0111%21 Jul
inferno13–10-0.059%21 Jul
nuke9–10.246%21 Jul
inferno6–9-0.0223%21 Jul
mirage11–130.0414%16 Jul
dust210–130.0913%16 Jul
inferno6–9-0.1312%16 Jul
inferno9–30.1617%16 Jul
inferno9–60.0133%16 Jul
dust29–13-0.0323%15 Jul
mirage5–130.1013%14 Jul
dust213–10.1516%14 Jul
italy2–130.0023%14 Jul
nuke9–40.1426%13 Jul
dust211–130.0119%12 Jul
ancient7–13-0.059%12 Jul
mirage13–40.1212%12 Jul
cache4–00.0538%12 Jul
inferno9–50.1323%12 Jul
inferno6–9-0.0315%12 Jul
inferno3–9-0.1430%12 Jul
inferno5–9-0.0113%12 Jul
inferno11–13-0.0019%11 Jul
mirage13–40.0411%11 Jul
nuke13–70.0727%11 Jul
dust212–16-0.0621%11 Jul
anubis13–40.0314%11 Jul
cache16–14-0.0010%11 Jul
cache13–40.0626%11 Jul
dust211–130.1024%11 Jul
mirage4–13-0.0113%11 Jul
overpass9–30.128%11 Jul
inferno8–80.0315%11 Jul
inferno6–9-0.0527%11 Jul
inferno9–40.0210%11 Jul
nuke5–9-0.0426%11 Jul
mirage13–90.0413%10 Jul
mirage10–13-0.0714%10 Jul
overpass8–80.1617%10 Jul
nuke4–9-0.194%10 Jul
inferno2–9-0.1622%10 Jul
overpass5–90.099%10 Jul
inferno5–9-0.0813%10 Jul
inferno6–90.0518%10 Jul
inferno9–10.1217%10 Jul
ancient13–10-0.0118%9 Jul
mirage3–13-0.0322%9 Jul
inferno9–40.1727%9 Jul
dust213–50.0819%5 Jul
mirage13–40.1425%5 Jul
inferno13–00.0817%5 Jul
mirage10–130.1115%5 Jul
mirage13–110.0324%4 Jul
dust210–13-0.0316%4 Jul
inferno7–90.0418%4 Jul
inferno14–160.0312%4 Jul
inferno8–80.0621%3 Jul
inferno3–9-0.1219%3 Jul
nuke9–60.0419%3 Jul
inferno9–7-0.0110%3 Jul
inferno9–60.0517%3 Jul
inferno5–9-0.0918%3 Jul
inferno9–60.1212%3 Jul
inferno8–80.0717%3 Jul
mirage13–11-0.0611%30 Jun
inferno13–80.0218%30 Jun
anubis13–5-0.008%30 Jun
overpass11–130.0719%29 Jun
ancient6–130.0321%29 Jun
anubis7–130.0718%29 Jun
mirage1–130.0116%23 Jun
nuke7–13-0.0511%23 Jun
dust213–7-0.0421%23 Jun
mirage13–70.0219%23 Jun
inferno6–9-0.1225%23 Jun
inferno8–8-0.117%23 Jun
mirage9–130.0218%22 Jun
inferno11–130.0711%22 Jun
nuke5–13-0.0316%22 Jun
dust213–70.0721%22 Jun
ancient13–60.0713%22 Jun

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →