Publa

Publa — CS2 Stats

FI76561198260114596[U:1:299848868]Steam profile ↗✓ No bans

1,394Tracked matches58%Win rate2020Tracked since
2,069Hours in CS
CSDB Rating7.1 StrongAll-Rounder
WingmanMaster Guardian I
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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Performance scores

Aim86
Positioning61
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY404614Last 10040%Win rateWLWLWWWTLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +4.6pp headshot accuracy · +31ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 567ms

Last 10

  • 631 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 552ms

Last 20

  • 1262 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 536ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-RounderNo style dimension stands clear of the others in this profile.

Aim8.6
Utility6.2
Positioning6.1
Opening Duels7.0

Sharp aimerEffective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

m0NESY

Plays most like m0NESY 92% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower positioning 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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Flashes. 0.84 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 44% 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

Aim8.6
Positioning6.1
Utility6.2
Mechanics6.9
Opening Duels5.6
Win Impact7.6

Composite 7.1/10 (Strong), 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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time546ms−72ms
first ⅓ avg 617ms → last ⅓ avg 546ms
Headshot accuracy21.6%−2.7%
first ⅓ avg 24.2% → last ⅓ avg 21.6%

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.

Personal bests

0.13Best match rating · 13–6 · mirage, 15 Aug
40%Best headshot accuracy · 13–4 · dust2, 10 Aug
398msFastest reaction time · 4–13 · mirage, 30 Aug
13–0Biggest win · dust2, 11 Aug

Across the last 100 tracked matches.

Highlights

4Longest win streak
38In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 41% over 88mirageWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C88365241%-0.00
mirageC104640%-0.00
cache1010%0.03
ancient1010%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

123,531Lifetime kills
1.12K/D · Top 50% of tracked players
5,869Matches
42.7%Match win rate
45.8%Headshot % · Top 50% of tracked players
13.1%Shot accuracy · Top 50% of tracked players
15,169MVPs
2,069Hours (in match)
4,793Bombs planted
1,273Bombs defused

Most-used weapons

AK-4731,314
AWP22,370
SSG 084,462
P2504,299
SG 5531,788

Lifetime map wins

8,277dust2
5,761inferno
1,402vertigo
1,211cbble
970train
940lake
745nuke
139office

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

Faceit stats

Combat

41Matches
54%Win rate
0.93Avg K/D
ADR
38%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLW

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.

22.3%Headshot accuracy
36.4%Accuracy (enemy spotted)
36.9%Spray accuracy
80.9%Counter-strafing
6.8°Preaim
548msReaction time
43.8%T opening success
61.1%CT opening success
0.84Enemies flashed / flash
4.4%Flash assists
9.25HE damage / grenade
10.14Flashes / match

Recommended for you

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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–6-0.0016%31 Aug
dust27–13-0.0538%31 Aug
dust213–40.0723%31 Aug
dust27–13-0.0727%31 Aug
dust213–50.0129%31 Aug
dust213–90.0014%31 Aug
dust213–90.1022%30 Aug
dust212–120.0031%30 Aug
mirage10–13-0.0313%30 Aug
dust213–100.0420%30 Aug
dust213–10-0.0124%30 Aug
dust29–13-0.0425%30 Aug
mirage4–13-0.0813%30 Aug
dust213–80.1017%30 Aug
dust213–60.0314%28 Aug
dust212–120.0614%28 Aug
dust28–13-0.0722%27 Aug
dust213–50.0220%27 Aug
dust213–30.0517%27 Aug
dust213–10-0.0820%25 Aug
dust213–70.0328%24 Aug
cache9–130.0320%22 Aug
ancient7–130.0125%22 Aug
dust213–90.0021%22 Aug
dust212–120.0124%22 Aug
mirage6–13-0.0421%22 Aug
dust212–12-0.0225%22 Aug
dust211–130.0436%22 Aug
dust213–50.0222%22 Aug
dust211–13-0.0225%21 Aug
dust213–40.0222%21 Aug
dust213–100.1115%21 Aug
mirage13–8-0.0111%21 Aug
dust29–130.0413%21 Aug
dust27–13-0.069%21 Aug
dust211–13-0.0120%19 Aug
dust210–130.0122%19 Aug
dust213–70.0027%19 Aug
dust24–130.0238%19 Aug
dust27–13-0.0629%18 Aug
dust211–13-0.0231%18 Aug
dust29–13-0.0215%17 Aug
dust29–130.025%16 Aug
dust24–13-0.0419%16 Aug
dust212–12-0.0314%16 Aug
dust27–130.0430%15 Aug
dust22–13-0.0631%15 Aug
dust210–13-0.0524%15 Aug
mirage13–60.1330%15 Aug
mirage13–80.0118%15 Aug
dust213–80.0515%15 Aug
dust25–13-0.0617%15 Aug
dust213–9-0.0229%15 Aug
dust210–13-0.0118%15 Aug
dust213–20.0314%15 Aug
dust212–120.0126%15 Aug
dust213–10-0.0324%14 Aug
dust24–130.0121%14 Aug
dust210–13-0.0018%14 Aug
dust211–130.0321%13 Aug
mirage13–110.0312%13 Aug
dust213–7-0.048%13 Aug
dust211–130.0634%13 Aug
mirage9–130.0019%13 Aug
dust213–7-0.0320%13 Aug
dust27–13-0.0417%13 Aug
dust212–12-0.0222%12 Aug
dust213–7-0.0027%11 Aug
dust27–13-0.0922%11 Aug
dust213–50.0123%11 Aug
dust213–10-0.0213%11 Aug
dust28–13-0.0224%11 Aug
dust212–120.0112%11 Aug
dust213–0-0.0338%11 Aug
dust26–13-0.0520%11 Aug
dust27–13-0.0415%11 Aug
dust213–10.1027%11 Aug
dust213–4-0.0240%10 Aug
dust213–30.0926%9 Aug
dust213–10-0.0235%8 Aug
dust212–120.0826%7 Aug
dust210–13-0.0418%7 Aug
dust211–13-0.0132%7 Aug
dust212–120.0435%7 Aug
dust213–40.0139%6 Aug
dust22–13-0.0218%6 Aug
dust212–120.0122%6 Aug
mirage6–13-0.0117%6 Aug
dust213–10-0.0520%5 Aug
dust212–12-0.0017%5 Aug
dust26–13-0.0424%5 Aug
mirage2–13-0.0522%4 Aug
dust211–130.0229%4 Aug
dust21–13-0.0813%4 Aug
dust212–12-0.0024%4 Aug
dust213–11-0.0216%3 Aug
dust213–110.0233%3 Aug
dust210–130.0025%23 Jul
dust28–13-0.0522%23 Jul
dust212–12-0.0026%22 Jul

Match data via Leetify.

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →