PANLAVIC

PANLAVIC — CS2 Stats

TH76561198337251739[U:1:376986011]Steam profile ↗✓ No bans

375Tracked matches41%Win rate2020Tracked since
1,855Hours in CS
CSDB Rating3.6 Learning
Ladder ranks via Leetify

Performance scores

Aim49
Positioning35
Utility7

0–100 skill scores via Leetify.

Recent form

COLD47449Last 10047%Win rateLWLLLWLLLW

Last 10 vs previous 10: -10pp win rate · +0.01 avg rating

Player DNA

Aim4.9
Aggression0.9
Utility0.7
Positioning3.5
Opening Duels0.0
Clutch2.4

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

NiKo

Plays most like NiKo 59% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower opening-fight frequency; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 661ms 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

Aim4.9
Positioning3.5
Utility0.7
Mechanics7.7
Opening Duels0.0
Win Impact1.9

Composite 3.6/10 (Learning), 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 rating-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time656ms+4ms
first ⅓ avg 653ms → last ⅓ avg 656ms
Headshot accuracy15.9%−1.7%
first ⅓ avg 17.6% → last ⅓ avg 15.9%

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

0.10Best rating — anubis 4–4
130Biggest win — vertigo
6Longest win streak
117In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 65% over 20mirageWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B32151747%-0.02
ancientS2013765%-0.02
infernoB136746%-0.01
overpassC104640%-0.03
mirageC83538%-0.03
anubisC73443%-0.01
vertigo41325%-0.03
train41325%-0.05
cache1010%-0.08
nuke110100%-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

65,137Lifetime kills
0.83K/D
4,063Matches
42.4%Match win rate
31.8%Headshot %
15.9%Shot accuracy · Top 25% of tracked players
7,129MVPs
1,855Hours (in match)
8,358Bombs planted
815Bombs defused

Most-used weapons

AUG18,917
SG 55316,365
MP76,305
UMP-453,895
AK-472,550
AWP2,172
P250727

Lifetime map wins

6,436inferno
5,627dust2
4,234vertigo
897train
267nuke
159cbble
58office
38lake

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

Faceit stats

Combat

294Matches
51%Win rate
0.84Avg K/D
64.6ADR
31%Headshot %

Clutches & streaks

32%1v1 clutch win
11%1v2 clutch win
13Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient956%1.0012.2
Anubis922%0.8714.1
Inferno771%0.8913.9
Dust2475%0.8411.0
Train333%1.0516.3
Mirage1100%1.0814.0

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.

16.3%Headshot accuracy
29.8%Accuracy (enemy spotted)
29.5%Spray accuracy
84.5%Counter-strafing
10.4°Preaim
661msReaction time
21.4%T opening success
19.8%CT opening success
0.09Enemies flashed / flash
0.0%Flash assists
4.74HE damage / grenade
0.17Flashes / 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 0.0924 — 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 21.3661% — below the 40% mark we flag

Spend your practice time on Mirage

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis11–13-0.0421%28 Jun
ancient13–2-0.0812%26 Jun
vertigo7–13-0.0513%3 Jun
mirage8–13-0.0324%2 May
dust211–13-0.0613%1 May
overpass13–10-0.0111%1 May
dust27–13-0.0217%30 Apr
mirage0–13-0.0214%30 Apr
cache3–13-0.087%29 Apr
mirage13–11-0.0113%25 Apr
inferno13–10-0.059%25 Apr
inferno6–13-0.0511%11 Apr
dust213–60.0226%11 Apr
inferno13–10-0.0224%11 Apr
vertigo12–12-0.0732%8 Apr
ancient10–13-0.0824%28 Mar
dust213–10-0.0723%28 Mar
dust28–13-0.0412%28 Mar
dust212–12-0.0717%24 Mar
mirage8–13-0.038%19 Feb
inferno15–15-0.0414%19 Feb
anubis16–14-0.0719%18 Feb
ancient13–80.0415%29 Jan
dust213–11-0.0416%29 Jan
dust214–16-0.0316%28 Jan
dust21–13-0.1013%28 Jan
anubis8–13-0.0115%25 Jan
dust213–8-0.0313%25 Jan
anubis7–13-0.0411%25 Jan
overpass5–13-0.0621%18 Jan
mirage9–13-0.0514%16 Jan
overpass13–6-0.0414%15 Jan
dust213–70.0214%15 Jan
anubis13–3-0.0117%14 Jan
ancient13–10-0.0819%14 Jan
anubis13–8-0.0310%14 Jan
dust213–3-0.0219%14 Jan
anubis4–40.1031%13 Jan
ancient11–130.0118%13 Jan
ancient13–110.0723%5 Jan
inferno13–110.0424%5 Jan
dust213–60.0114%5 Jan
overpass10–13-0.0213%5 Jan
ancient10–13-0.028%30 Dec
ancient13–110.0221%30 Dec
inferno13–100.1020%29 Dec
overpass0–13-0.0727%29 Dec
dust213–50.0217%25 Dec
dust25–13-0.0218%24 Dec
ancient13–50.0017%24 Dec
dust213–110.0123%24 Dec
ancient13–8-0.0212%17 Dec
dust211–13-0.0220%16 Dec
train6–13-0.0913%14 Dec
dust29–13-0.0314%12 Dec
mirage15–15-0.0415%9 Dec
dust213–16-0.0232%9 Dec
ancient13–40.0232%7 Dec
overpass11–13-0.0522%7 Dec
ancient6–13-0.0926%22 Nov
overpass3–13-0.099%17 Nov
ancient13–11-0.0013%17 Nov
ancient3–13-0.0511%17 Nov
inferno13–60.0519%16 Nov
ancient13–70.0112%11 Nov
dust213–10-0.0232%11 Nov
inferno13–11-0.0718%11 Nov
dust24–13-0.098%11 Nov
ancient7–13-0.0715%11 Nov
overpass13–9-0.0418%11 Nov
nuke13–10-0.0012%6 Nov
train8–13-0.0414%6 Nov
train13–11-0.0511%5 Nov
dust28–13-0.0024%5 Nov
train9–13-0.0213%5 Nov
dust213–6-0.0117%30 Oct
inferno15–150.0525%30 Oct
overpass13–30.0927%30 Oct
vertigo13–00.0118%28 Oct
dust213–9-0.0210%23 Oct
ancient13–70.0628%23 Oct
dust215–15-0.0518%21 Oct
ancient16–13-0.0119%21 Oct
inferno12–12-0.0420%21 Oct
dust213–80.0722%21 Oct
dust215–15-0.0313%20 Oct
mirage13–80.0122%20 Oct
ancient13–9-0.0723%20 Oct
overpass13–16-0.0414%20 Oct
mirage13–2-0.0419%20 Oct
vertigo7–13-0.0016%16 Oct
dust212–120.0113%16 Oct
dust22–13-0.0812%16 Oct
dust213–7-0.0318%15 Oct
inferno9–130.0819%15 Oct
inferno3–13-0.0714%15 Oct
dust213–11-0.0013%15 Oct
ancient10–13-0.0721%13 Oct
dust26–13-0.0417%13 Oct
inferno13–16-0.0425%13 Oct

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 →