Lobola — CS2 Stats

76561198080429168[U:1:120163440]✓ No bans

501Tracked matches36%Win rate2020Tracked since
CSDB Rating4.9 DevelopingHybrid Rifler
Premier CS Rating19,934Purple band · top ~8.8% of ranked players (population est.)
CSDB Leaderboard#3090 of 6696 tracked
Ladder ranks via Leetify

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CSDB.GGLobolaPREMIER19,934 · Purple bandcsdb.gg/stats

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Performance scores

Aim65
Positioning40
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY52462Last 10052%Win rateWLTWWLWLLL

Last 10 vs previous 10: +20pp win rate · +0.05 avg rating

Player DNA

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

Aim6.5
Aggression5.3
Utility5.6
Positioning4.0
Opening Duels2.0

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.

Your pro match

NiKo

Plays most like NiKo 87% playstyle similarity

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

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 47% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 594ms 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

Aim6.5
Positioning4.0
Utility5.6
Mechanics7.3
Opening Duels2.1
Win Impact0.2

Composite 4.9/10 (Developing), 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-0.04−0.03
first ⅓ avg -0.00 → last ⅓ avg -0.04
Reaction time605ms−77ms
first ⅓ avg 682ms → last ⅓ avg 605ms
Headshot accuracy16.9%+4.2%
first ⅓ avg 12.7% → 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.

Highlights

0.08Best rating — mirage 13–5
131Biggest win — cache
9Longest win streak
912In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 71% over 14infernoWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB32161650%-0.01
dust2B27131448%-0.02
nukeS1410471%-0.01
cacheB105550%-0.04
infernoC73443%-0.02
vertigoB63350%-0.02
anubis21150%-0.05
ancient110100%-0.06
train1010%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.6%Headshot accuracy
30.7%Accuracy (enemy spotted)
33.5%Spray accuracy
83.1%Counter-strafing
8.5°Preaim
594msReaction time
29.2%T opening success
47.0%CT opening success
0.70Enemies flashed / flash
4.9%Flash assists
5.53HE damage / grenade
9.84Flashes / 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 29.16% — below the 40% mark we flag

Spend your practice time on Inferno

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–50.0516%27 Aug
inferno10–13-0.0425%26 Aug
mirage15–150.009%26 Aug
cache13–8-0.0621%24 Aug
dust213–30.0619%24 Aug
dust27–13-0.0218%24 Aug
dust213–8-0.0224%23 Aug
cache9–13-0.0417%23 Aug
dust214–160.0325%22 Aug
anubis10–13-0.0323%22 Aug
dust210–13-0.0118%22 Aug
mirage11–13-0.0520%22 Aug
cache11–13-0.0710%22 Aug
cache11–13-0.0621%22 Aug
dust216–13-0.0618%21 Aug
mirage11–13-0.0515%21 Aug
dust29–13-0.0620%20 Aug
dust26–13-0.0919%17 Aug
cache3–13-0.0825%17 Aug
inferno13–11-0.037%16 Aug
dust210–13-0.0511%12 Aug
mirage15–15-0.0124%2 Aug
dust213–7-0.0215%2 Aug
mirage13–4-0.0018%1 Aug
dust28–13-0.068%1 Aug
nuke14–16-0.0410%1 Aug
anubis13–6-0.083%31 Jul
dust20–5-0.0140%31 Jul
nuke16–14-0.065%31 Jul
inferno2–13-0.0616%30 Jul
cache13–9-0.0620%26 Jul
mirage3–13-0.147%26 Jul
mirage13–10-0.0410%19 Jul
mirage16–12-0.0220%19 Jul
mirage11–13-0.0813%18 Jul
cache13–70.0523%17 Jul
mirage6–13-0.1118%17 Jul
cache7–13-0.059%15 Jul
dust23–13-0.0617%14 Jul
cache13–10.0217%12 Jul
cache13–9-0.0510%12 Jul
mirage13–70.029%11 Jul
dust213–7-0.0022%10 Jul
mirage11–13-0.0712%3 Jul
nuke16–120.0727%3 Jul
nuke13–11-0.065%2 Jul
dust213–5-0.0317%1 Jul
mirage8–13-0.0419%30 Jun
mirage13–70.0331%29 Jun
ancient16–14-0.0623%14 Aug
nuke13–8-0.0113%13 Aug
mirage13–110.0419%12 Aug
dust211–13-0.0210%31 Jan
train5–130.0110%30 Jan
mirage16–140.0015%27 Jan
nuke8–13-0.0215%16 Jan
vertigo5–13-0.0413%15 Jan
nuke13–110.019%12 Jan
mirage3–13-0.0515%12 Jan
inferno2–13-0.0119%10 Jan
mirage9–13-0.039%10 Jan
dust214–16-0.0616%10 Jan
mirage6–13-0.0315%8 Jan
mirage13–80.038%8 Jan
dust28–13-0.0424%7 Jan
nuke8–13-0.029%6 Jan
mirage13–50.0826%6 Jan
dust213–100.0218%6 Jan
mirage5–13-0.0127%6 Jan
nuke13–7-0.0117%8 Dec
inferno13–8-0.027%8 Dec
nuke13–110.018%28 Nov
dust213–40.0318%28 Nov
vertigo10–13-0.055%28 Nov
mirage13–50.0824%28 Nov
vertigo13–6-0.0113%27 Nov
dust210–13-0.050%27 Nov
inferno11–13-0.016%26 Nov
mirage13–20.0115%26 Nov
nuke13–9-0.0212%25 Nov
mirage8–13-0.086%24 Nov
dust213–60.0410%24 Nov
mirage13–9-0.019%24 Nov
nuke9–13-0.0412%24 Nov
dust213–5-0.0310%22 Nov
dust213–20.0722%22 Nov
mirage13–100.0016%11 Nov
dust213–8-0.0718%31 Oct
nuke13–8-0.0216%30 Oct
inferno13–90.0413%30 Oct
dust216–120.0112%29 Oct
mirage13–80.0316%29 Oct
nuke13–110.0711%28 Oct
mirage6–130.006%27 Oct
vertigo13–9-0.026%26 Oct
dust29–13-0.0616%24 Oct
mirage13–20.0511%24 Oct
vertigo10–130.0118%24 Oct
vertigo13–3-0.048%23 Oct
mirage11–13-0.0717%23 Oct

Match data via Leetify.

Recent teammates

Milestones

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