Lobter

Lobter — CS2 Stats

US76561198218928491[U:1:258662763]Steam profile ↗✓ No bans

4,005Tracked matches41%Win rate2020Tracked since
CSDB Rating5.3 DevelopingAll-Rounder
WingmanGold Nova III
Ladder ranks via Leetify

Performance scores

Aim59
Positioning62
Utility50

0–100 skill scores via Leetify.

Recent form

COLD33–57–10Last 10033%Win rateWLLLLLLWWL

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · −0.2pp headshot accuracy · −24ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 612ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 609ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 621ms

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-Rounder — No style dimension stands clear of the others in this profile.

Aim5.9
Utility5.0
Positioning6.2
Opening Duels5.8

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

device

Plays most like device 84% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Strengths

T openings. 64% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 613ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.9
Positioning6.2
Utility5.0
Mechanics4.4
Opening Duels7.1
Win Impact1.9

Composite 5.3/10 (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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time627ms−5ms
first ⅓ avg 632ms → last ⅓ avg 627ms
Headshot accuracy11.8%−1.1%
first ⅓ avg 13.0% → last ⅓ avg 11.8%

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

0.17Best match rating · 13–2 · boulder, 28 Aug →
32%Best headshot accuracy · 13–6 · dust2, 28 Aug →
469msFastest reaction time · 7–13 · inferno, 9 Aug →
13–0Biggest win · inferno, 17 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
4–10In matches decided by ≤2 rounds

Map breakdown

officeBest map · 59% over 22mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
officeA2213–959%0.04
nukeC166–1038%0.02
dust2D134–931%0.02
infernoD113–827%0.02
cacheD112–918%-0.01
mirageD61–517%-0.00
boulderD51–420%0.04
vertigo—41–325%-0.00
anubis—40–40%-0.00
italy—31–233%0.01
fachwerk—20–20%0.04
train—21–150%-0.00
ancient—10–10%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 5 essential Mirage 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.

11.7%Headshot accuracy
38.3%Accuracy (enemy spotted)
37.3%Spray accuracy
70.0%Counter-strafing
9.4°Preaim
613msReaction time
63.9%T opening success
52.6%CT opening success
0.43Enemies flashed / flash
6.6%Flash assists
9.58HE damage / grenade
10.99Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.6727% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4288 — below the 0.5 mark we flag

    Grenade Lineups →
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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
office13–100.047%4 Nov →
dust26–130.0314%4 Nov →
mirage2–13-0.0415%4 Nov →
inferno7–13-0.0715%4 Nov →
office4–13-0.068%3 Nov →
dust28–130.1214%3 Nov →
mirage9–130.0018%3 Nov →
office13–110.027%3 Nov →
office13–7-0.026%2 Nov →
cache8–13-0.0514%2 Nov →
nuke13–70.0514%2 Nov →
office13–5-0.0124%2 Nov →
office13–110.1011%11 Sept →
italy2–13-0.079%11 Sept →
nuke12–120.060%11 Sept →
inferno13–30.0618%10 Sept →
dust211–13-0.0215%10 Sept →
inferno13–60.052%6 Sept →
office13–70.0921%6 Sept →
inferno2–20.125%5 Sept →
office13–30.1325%5 Sept →
nuke12–120.0413%4 Sept →
dust27–13-0.026%2 Sept →
office3–130.0512%2 Sept →
fachwerk4–130.0511%1 Sept →
nuke5–4-0.040%31 Aug →
boulder9–130.0712%31 Aug →
cache9–13-0.0010%30 Aug →
ancient1–13-0.0613%30 Aug →
vertigo12–120.018%30 Aug →
office13–60.1623%30 Aug →
mirage6–13-0.0210%29 Aug →
dust213–40.0813%29 Aug →
office13–6-0.0113%29 Aug →
dust212–120.0326%29 Aug →
train9–13-0.0513%28 Aug →
italy13–90.0113%28 Aug →
cache13–80.0518%28 Aug →
dust213–60.0632%28 Aug →
boulder13–20.1719%28 Aug →
italy12–120.0816%27 Aug →
nuke2–13-0.0716%27 Aug →
cache10–130.0125%27 Aug →
office11–13-0.0219%27 Aug →
vertigo12–12-0.036%27 Aug →
dust24–13-0.0227%26 Aug →
nuke6–13-0.0510%26 Aug →
mirage13–80.026%26 Aug →
nuke10–130.048%25 Aug →
cache2–13-0.057%25 Aug →
nuke13–90.020%24 Aug →
boulder11–13-0.036%24 Aug →
fachwerk3–130.034%24 Aug →
office13–60.0611%23 Aug →
dust28–13-0.053%23 Aug →
nuke13–70.027%23 Aug →
anubis7–130.027%23 Aug →
nuke13–100.064%22 Aug →
office10–130.115%22 Aug →
inferno12–120.0612%22 Aug →
office5–13-0.009%21 Aug →
nuke9–130.097%21 Aug →
dust213–110.0211%21 Aug →
nuke7–13-0.070%21 Aug →
dust211–130.038%20 Aug →
inferno1–13-0.0930%19 Aug →
cache4–13-0.0019%18 Aug →
office4–13-0.0212%18 Aug →
anubis2–130.0323%18 Aug →
mirage8–13-0.017%17 Aug →
inferno13–00.068%17 Aug →
cache1–130.025%17 Aug →
office2–13-0.0516%17 Aug →
nuke6–130.039%16 Aug →
office12–120.084%16 Aug →
train13–90.0512%16 Aug →
nuke11–13-0.0318%15 Aug →
anubis5–13-0.084%14 Aug →
boulder11–13-0.049%14 Aug →
dust211–130.0010%13 Aug →
office13–60.0512%13 Aug →
cache13–90.0220%12 Aug →
inferno7–130.0618%12 Aug →
office13–80.0816%11 Aug →
nuke9–13-0.008%11 Aug →
vertigo13–90.0311%11 Aug →
anubis10–130.0328%11 Aug →
office12–120.067%11 Aug →
cache11–130.0015%10 Aug →
boulder6–130.0211%10 Aug →
inferno9–13-0.005%10 Aug →
vertigo11–13-0.0214%9 Aug →
nuke13–70.1017%9 Aug →
mirage6–130.0216%9 Aug →
inferno7–13-0.0513%9 Aug →
office7–2-0.060%8 Aug →
inferno6–130.0016%8 Aug →
cache3–13-0.0620%8 Aug →
dust213–9-0.0429%8 Aug →
cache12–12-0.0115%7 Aug →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.