Lobanjicaa

Lobanjicaa — CS2 Stats

ME76561199848769979[U:1:1888504251]Steam profile ↗✓ No bans

435Tracked matches57%Win rate2025Tracked since
323Hours in CS
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating9,880Light Blue band · top ~55.5% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 435 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 9,880 +2,875 4 Aug – 10 Nov · 17 days played
6,74510,566peak 10,5664 Aug10 Nov
11,164Peak Premier in tracked matches
23Days played since 2026-08-04

Premier CS Rating

  • 686 below peak (10,566)
  • +885 over 30 days · improving
  • +1,601 over 90 days
  • Next: Blue band at 10,000 — 120 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-18

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate47.1%43.8%44.8%above
Shot accuracy0.0%12.0%12.4%12.4% short
Kill/death ratio1.121.021.03above
Match win rate48.5%44.7%45.2%above

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLobanjicaaFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER9,880 · Light Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim58
Positioning61
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY45–49–6Last 10045%Win rateLLLTWWWLLW

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −1.9pp headshot accuracy · −44ms reaction

Win rate −10pp 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

  • 1–3–1 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 592ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 594ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 616ms

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: Positional Player — Positioning stands above the rest of this profile (+2.3 against its own average).

Aim5.8
Utility3.5
Positioning6.1
Opening Duels3.2
Clutch2.2

Strong CT-side opener

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

jL

Plays most like jL 86% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

Reaction time. 621ms 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

Aim5.8
Positioning6.1
Utility3.5
Mechanics5.2
Opening Duels4.3
Win Impact7.4

Composite 4.9/10 (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 rating0.03+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.03
Reaction time622ms−39ms
first ⅓ avg 662ms → last ⅓ avg 622ms
Headshot accuracy16.9%−3.0%
first ⅓ avg 19.9% → last ⅓ avg 16.9%

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.

Personal bests

0.24Best match rating · 13–3 · dust2, 15 Oct →
53%Best headshot accuracy · 1–13 · vertigo, 4 Oct →
109msFastest reaction time · 1–13 · vertigo, 4 Oct →
13–1Biggest win · nuke, 7 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
4–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 80% over 5dust2Weakest map · 28% over 25
MapGradePlayedRecordWin rateAvg rating
dust2D257–1828%0.03
nukeB1910–953%-0.02
mirageS139–469%0.03
ancientB115–645%0.03
anubisD103–730%0.00
trainC83–538%0.01
cacheS54–180%0.01
inferno—43–175%-0.01
vertigo—40–40%0.02
office—11–0100%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (28% over 25). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,676Lifetime kills
1.12K/D · Top 50% of Level 5 players
1,075Matches
48.5%Match win rate · Top 25% of Level 5 players
47.1%Headshot % · Top 50% of Level 5 players
0.0%Shot accuracy
2,537MVPs
323Hours (in match)
670Bombs planted
247Bombs defused

Most-used weapons

Lifetime map wins

1,775nuke
1,362dust2
1,114vertigo
698inferno
407train
218office
4ar_shoots
1ar_baggage

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

Faceit stats

Combat

38Matches
58%Win rate
1.05Avg K/D
75.2ADR
43%Headshot %

Clutches & streaks

31%1v1 clutch win
13%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust21443%1.0014.2
Mirage667%1.1412.0
Nuke683%1.0415.7
Inferno580%1.1814.6
Ancient333%1.1615.0
Anubis250%1.0220.5
Overpass1100%0.8618.0
Cache10%0.569.0

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.

16.7%Headshot accuracy
34.8%Accuracy (enemy spotted)
34.0%Spray accuracy
73.6%Counter-strafing
9.7°Preaim
621msReaction time
40.2%T opening success
54.5%CT opening success
0.46Enemies flashed / flash
3.1%Flash assists
8.50HE damage / grenade
9.20Flashes / 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 0.4607 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

28% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–130.0517%20 Oct →
ancient10–130.0611%20 Oct →
cache3–13-0.0514%20 Oct →
nuke15–150.0117%20 Oct →
anubis11–50.0316%20 Oct →
train13–70.0825%20 Oct →
nuke13–90.0115%20 Oct →
anubis7–13-0.015%20 Oct →
dust20–13-0.0419%20 Oct →
nuke13–40.0523%20 Oct →
dust26–13-0.0328%19 Oct →
ancient10–130.0315%19 Oct →
ancient11–130.0619%19 Oct →
mirage13–50.1119%19 Oct →
inferno13–11-0.0124%19 Oct →
dust29–13-0.1013%18 Oct →
mirage13–80.0013%18 Oct →
anubis4–13-0.0316%18 Oct →
cache13–11-0.0318%18 Oct →
mirage13–90.0217%18 Oct →
dust213–30.2426%15 Oct →
anubis6–60.0618%14 Oct →
nuke13–80.0211%14 Oct →
dust210–130.1123%13 Oct →
ancient15–150.0412%13 Oct →
ancient13–40.1111%13 Oct →
mirage16–12-0.0118%13 Oct →
ancient16–140.0314%12 Oct →
cache13–10-0.0312%12 Oct →
mirage13–100.0915%12 Oct →
dust213–2-0.0315%12 Oct →
nuke3–11-0.0023%12 Oct →
train11–130.0417%12 Oct →
nuke10–10.0014%12 Oct →
dust22–90.0625%11 Oct →
train1–130.0748%10 Oct →
dust213–60.2114%10 Oct →
nuke12–120.026%10 Oct →
train5–13-0.0313%10 Oct →
nuke0–9-0.220%10 Oct →
train3–13-0.0621%9 Oct →
nuke3–13-0.0411%9 Oct →
train0–4-0.010%9 Oct →
dust25–13-0.0617%7 Oct →
dust27–13-0.0811%7 Oct →
dust25–2-0.020%6 Oct →
vertigo2–13-0.0523%6 Oct →
vertigo12–120.0340%6 Oct →
vertigo1–13-0.0153%4 Oct →
train13–60.0135%4 Oct →
nuke13–90.0316%4 Oct →
dust213–30.0824%4 Oct →
ancient10–13-0.109%3 Oct →
nuke11–13-0.1017%3 Oct →
inferno13–60.0714%2 Oct →
anubis13–100.1224%2 Oct →
mirage9–130.0113%2 Oct →
mirage13–30.0427%2 Oct →
dust24–13-0.0213%1 Oct →
dust24–0-0.010%1 Oct →
dust213–70.078%1 Oct →
dust212–120.0112%1 Oct →
dust212–120.1717%1 Oct →
dust23–130.1222%1 Oct →
dust29–13-0.0027%30 Sept →
dust27–13-0.0325%30 Sept →
dust26–13-0.0319%30 Sept →
nuke11–13-0.0643%26 Sept →
dust26–13-0.070%26 Sept →
dust213–110.0916%26 Sept →
train13–100.0011%17 Aug →
anubis5–13-0.0816%7 Aug →
mirage13–80.0417%7 Aug →
dust211–130.0117%7 Aug →
nuke13–10-0.0129%7 Aug →
mirage7–13-0.0514%7 Aug →
cache8–10.0819%7 Aug →
inferno13–100.0222%7 Aug →
anubis13–90.0619%7 Aug →
nuke13–50.0129%7 Aug →
nuke13–3-0.0511%7 Aug →
nuke13–10.1841%7 Aug →
mirage7–110.0419%6 Aug →
anubis6–13-0.0214%6 Aug →
ancient13–9-0.0426%6 Aug →
nuke13–70.0129%6 Aug →
vertigo7–90.0926%6 Aug →
inferno10–13-0.116%6 Aug →
cache13–40.1017%6 Aug →
anubis12–16-0.0618%6 Aug →
mirage13–90.0425%6 Aug →
ancient13–100.0811%5 Aug →
nuke9–13-0.0211%5 Aug →
anubis6–13-0.0223%5 Aug →
ancient6–13-0.0226%5 Aug →
mirage13–70.0420%5 Aug →
ancient13–70.0223%5 Aug →
nuke9–13-0.170%4 Aug →
office13–9-0.0238%4 Aug →
dust211–130.0224%4 Aug →

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 →

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