Bublina — CS2 Stats

76561198988312453[U:1:1028046725]✓ No bans

1,176Tracked matches47%Win rate2021Tracked since
2,835Hours in CS3Hrs last 2 wks
CSDB Rating5.4 DevelopingAggressive Rifler
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Performance scores

Aim83
Positioning63
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY45532Last 10045%Win rateWLWWLWLLWW

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

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

Aim8.3
Aggression8.4
Utility3.6
Positioning6.3
Opening Duels3.7
Clutch6.2

Limited utility dependence

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 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

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

Reaction time. 584ms 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

Aim8.3
Positioning6.3
Utility3.6
Mechanics6.2
Opening Duels3.7
Win Impact3.9

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time581ms−47ms
first ⅓ avg 628ms → last ⅓ avg 581ms
Headshot accuracy18.9%−0.9%
first ⅓ avg 19.7% → last ⅓ avg 18.9%

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

0.27Best rating — debris 9–1
130Biggest win — nuke
7Longest win streak
1111In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 63% over 16ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C32141844%0.01
infernoA1610663%0.06
mirageD1551033%0.00
nukeC73443%0.03
ancientD72529%-0.00
overpassC52340%0.00
anubis41325%-0.03
cache42250%0.05
office32167%-0.02
vertigo32167%0.00
debris21150%0.06
eldorado1010%-0.06
train110100%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

55,749Lifetime kills
1.03K/D
3,120Matches
46.5%Match win rate · Top 50% of tracked players
37.3%Headshot %
9.4%Shot accuracy
9,829MVPs
1,491Hours (in match)
2,094Bombs planted
563Bombs defused

Most-used weapons

AK-478,575
AWP8,101
SSG 083,570
Knife2,026
MP71,549
AUG1,308
SG 5531,242

Lifetime map wins

4,462dust2
3,526inferno
2,104vertigo
1,726nuke
704office
471train
90cbble
73lake

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

Faceit stats

Combat

85Matches
55%Win rate
1.16Avg K/D
88.3ADR
36%Headshot %

Clutches & streaks

51%1v1 clutch win
21%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1947%1.2416.1
Dust21644%1.1416.9
Ancient1450%1.0716.3
Anubis1362%1.1816.5
Inferno888%1.4222.4
Vertigo667%1.0514.3
Nuke450%0.9312.3
Overpass367%1.1319.3

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.

18.9%Headshot accuracy
39.0%Accuracy (enemy spotted)
41.6%Spray accuracy
78.1%Counter-strafing
8.0°Preaim
584msReaction time
39.3%T opening success
50.2%CT opening success
0.48Enemies flashed / flash
4.0%Flash assists
7.32HE damage / grenade
4.57Flashes / 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 0.4811 — 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 39.3031% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.0011%18 Aug
mirage1–13-0.0624%15 Aug
mirage13–40.0824%15 Aug
inferno9–70.0916%12 Aug
debris2–9-0.1418%12 Aug
debris9–10.278%4 Aug
eldorado7–9-0.0612%4 Aug
nuke7–130.0615%13 Jul
dust29–40.0329%12 Jul
office13–11-0.0215%11 Jul
inferno13–100.0218%11 Jul
dust211–130.1116%11 Jul
inferno8–130.0314%10 Jul
inferno13–30.0530%10 Jul
mirage10–130.0314%5 Jul
nuke13–40.0722%5 Jul
dust26–130.0214%3 Jul
dust211–130.0324%30 Jun
mirage4–13-0.0423%30 Jun
dust213–80.1721%30 Jun
dust213–110.0212%30 Jun
anubis12–160.0019%30 Jun
dust214–16-0.0121%30 Jun
dust213–40.0724%30 Jun
nuke11–13-0.0324%30 Jun
dust213–6-0.0226%29 Jun
mirage13–70.0112%29 Jun
mirage6–13-0.0515%29 Jun
ancient3–13-0.0222%29 Jun
inferno13–60.0524%29 Jun
dust211–130.0315%29 Jun
overpass13–70.0023%29 Jun
dust26–13-0.0115%29 Jun
overpass5–13-0.0312%29 Jun
ancient13–9-0.0115%29 Jun
dust23–13-0.0615%29 Jun
mirage2–13-0.008%29 Jun
inferno13–20.1624%29 Jun
dust213–90.0517%29 Jun
dust27–13-0.0122%28 Jun
dust24–13-0.0723%26 Jun
dust29–13-0.0014%26 Jun
inferno13–110.019%26 Jun
inferno13–110.0416%26 Jun
dust213–5-0.0518%26 Jun
dust213–110.0120%26 Jun
vertigo9–40.0425%26 Jun
inferno9–40.1050%26 Jun
dust213–80.0021%22 Jun
mirage10–130.0134%21 Jun
nuke13–00.010%9 Jun
cache13–5-0.0123%7 May
cache13–90.1412%7 May
nuke5–130.0212%5 May
cache6–130.0322%3 May
cache11–130.0520%3 May
inferno13–20.1710%26 Apr
dust26–13-0.017%25 Apr
dust213–110.0622%23 Apr
dust212–120.0330%22 Apr
dust25–130.0216%21 Apr
vertigo13–90.0114%21 Apr
overpass9–13-0.0121%21 Apr
dust26–13-0.0113%21 Apr
train13–60.0419%20 Apr
ancient6–130.057%19 Apr
dust29–13-0.0514%17 Apr
ancient5–13-0.0124%17 Apr
nuke13–80.0622%17 Apr
dust213–60.0635%17 Apr
overpass6–130.0312%17 Apr
mirage14–160.0116%15 Apr
nuke14–160.0015%15 Apr
inferno7–130.1016%14 Apr
mirage13–90.0018%14 Apr
ancient13–11-0.0322%14 Apr
inferno6–130.0422%13 Apr
vertigo7–13-0.0414%12 Apr
inferno9–130.1124%12 Apr
inferno4–13-0.0717%12 Apr
dust211–13-0.0324%11 Apr
overpass13–60.0422%11 Apr
mirage11–13-0.0023%11 Apr
dust21–13-0.0422%10 Apr
mirage13–10.0311%10 Apr
dust213–3-0.0117%10 Apr
anubis8–13-0.0616%10 Apr
anubis9–13-0.0911%10 Apr
dust213–110.1320%10 Apr
ancient1–13-0.0145%10 Apr
office13–50.0134%8 Apr
ancient15–150.0013%7 Apr
mirage8–130.0519%7 Apr
mirage5–13-0.0312%6 Apr
office10–13-0.0516%6 Apr
mirage13–10.0233%6 Apr
dust22–13-0.0311%6 Apr
inferno7–130.0220%6 Apr
dust213–11-0.0520%6 Apr
anubis6–30.016%6 Apr

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 →