✪ lobster

✪ lobster — CS2 Stats

AU76561198315053763[U:1:354788035]Steam profile ↗✓ No bans

436Tracked matches52%Win rate2020Tracked since
CSDB Rating7.1 StrongAll-Rounder
Premier CS Rating18,964Top 50% of 212,379 CSDB-tracked playersPurple band · top ~12.6% of ranked players (population est.)
CSDB Leaderboard#99430 of 259330 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Feb 2026 (255 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,964 -556 16 Feb – 19 Feb · 2 days played
18,96419,520peak 19,52016 Feb19 Feb
19,520Peak Premier in tracked matches
56Days played since 2025-07-19

Premier CS Rating

  • 556 below peak (19,520)
  • Next: Pink band at 20,000 — 1,036 to go
  • Reached: Purple band · Blue band · Light Blue band

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

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CSDB.GG✪ lobsterPREMIER18,964 · Purple bandcsdb.gg/stats

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Performance scores

Aim89
Positioning61
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY55–38–7Last 10055%Win rateLWLLWWLWLW

Last 10 vs previous 10: 0pp win rate · −0.04 avg rating · −0.7pp headshot accuracy · −103ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 28%
  • Avg reaction 405ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 539ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 590ms

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.

Aim8.9
Utility6.2
Positioning6.1
Opening Duels6.1

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

device

Plays most like device 98% playstyle similarity

Most alike: aim profile, 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 89 — the mechanical foundation is a clear strength.

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 62% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 606ms 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

Aim8.9
Positioning6.1
Utility6.2
Mechanics8.3
Opening Duels4.4
Win Impact5.6

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 rating0.02−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time565ms−22ms
first ⅓ avg 587ms → last ⅓ avg 565ms
Headshot accuracy23.8%−1.4%
first ⅓ avg 25.2% → last ⅓ avg 23.8%

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 · 12–12 · vertigo, 17 Dec →
100%Best headshot accuracy · 0–3 · ancient, 25 Apr →
391msFastest reaction time · 0–3 · ancient, 25 Apr →
13–1Biggest win · dust2, 2 Feb →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–7In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 75% over 16overpassWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B2110–1148%0.02
infernoS1611–569%0.03
cacheC167–944%0.02
ancientS1612–475%0.04
anubisS96–367%0.02
overpassD72–529%-0.02
mirageC52–340%-0.02
train—31–233%0.04
vertigo—21–150%0.13
agency—21–150%0.01
boulder—11–0100%0.06
alpine—10–10%-0.03
jura—11–0100%0.05

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Overpass 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.

24.8%Headshot accuracy
36.7%Accuracy (enemy spotted)
44.2%Spray accuracy
87.4%Counter-strafing
7.9°Preaim
606msReaction time
33.8%T opening success
61.6%CT opening success
0.74Enemies flashed / flash
8.3%Flash assists
7.41HE damage / grenade
6.73Flashes / 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 33.7508% — below the 40% mark we flag

Spend your practice time on Overpass

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.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0415%17 Sept →
dust213–3-0.0275%23 Jul →
anubis11–130.0416%23 Jul →
anubis8–13-0.0133%23 Jul →
anubis4–00.000%23 Jul →
inferno13–5-0.0019%18 Jul →
cache1–13-0.0222%18 Jul →
cache13–90.0423%18 Jul →
cache2–6-0.0520%15 Jul →
cache13–80.0016%15 Jul →
cache13–90.0929%9 Jul →
inferno13–70.0131%9 Jul →
boulder13–20.0614%9 Jul →
dust28–130.0222%2 Jul →
cache5–130.0322%2 Jul →
cache13–50.0619%2 Jul →
cache12–120.1022%2 Jul →
dust213–3-0.0020%26 Jun →
dust212–120.0516%25 Jun →
cache4–13-0.0150%25 Jun →
dust22–80.0225%21 Jun →
ancient13–90.0422%20 Jun →
cache13–60.0938%20 Jun →
train9–13-0.0126%18 Jun →
overpass0–2-0.020%17 Jun →
ancient12–120.0316%16 Jun →
cache13–110.0114%16 Jun →
ancient0–2-0.020%15 Jun →
dust213–30.1026%15 Jun →
cache6–130.0244%6 May →
cache0–13-0.0943%6 May →
cache13–80.0724%6 May →
cache12–120.0324%29 Apr →
cache1–7-0.0333%29 Apr →
ancient0–3-0.01100%25 Apr →
inferno13–30.0713%25 Apr →
dust212–120.0017%25 Apr →
inferno13–2-0.0124%5 Apr →
mirage0–3-0.1133%29 Mar →
inferno7–9-0.1323%26 Mar →
overpass7–13-0.0412%25 Mar →
dust29–130.0124%25 Mar →
inferno13–6-0.0230%21 Mar →
ancient13–9-0.0014%20 Mar →
inferno11–13-0.0323%20 Feb →
overpass13–6-0.0331%20 Feb →
dust210–130.0220%19 Feb →
mirage13–160.0218%16 Feb →
dust213–110.1326%9 Feb →
anubis10–13-0.0329%5 Feb →
dust213–10.0928%2 Feb →
dust210–13-0.0218%2 Feb →
dust213–60.0132%2 Feb →
ancient13–40.0423%2 Feb →
inferno13–30.0824%28 Jan →
ancient13–100.0419%27 Jan →
inferno13–40.1521%27 Jan →
alpine10–13-0.0317%24 Jan →
ancient13–80.0423%24 Jan →
overpass9–13-0.0628%14 Jan →
dust212–16-0.0220%11 Jan →
overpass13–10.0735%9 Jan →
train6–10.1424%6 Jan →
train3–13-0.0244%6 Jan →
dust29–130.0324%3 Jan →
ancient13–40.0128%3 Jan →
anubis13–30.0827%21 Dec →
ancient13–10.0616%21 Dec →
inferno13–80.0419%20 Dec →
vertigo12–120.1726%17 Dec →
vertigo13–110.1033%17 Dec →
anubis13–11-0.0038%16 Dec →
inferno13–40.1532%16 Dec →
dust213–60.0716%16 Dec →
mirage4–5-0.0040%28 Nov →
inferno13–10.0629%12 Nov →
inferno5–130.0134%9 Nov →
ancient13–8-0.0123%9 Nov →
inferno13–60.0926%5 Nov →
ancient14–160.0024%5 Nov →
overpass12–120.0334%31 Oct →
inferno5–130.0425%20 Oct →
anubis13–100.0022%19 Oct →
ancient13–110.0625%19 Oct →
mirage13–30.0315%6 Aug →
agency7–13-0.0625%6 Aug →
agency13–70.0926%6 Aug →
dust22–10-0.1344%5 Aug →
jura13–30.0516%1 Aug →
anubis13–50.0315%25 Jul →
mirage13–5-0.0232%25 Jul →
inferno5–130.0121%25 Jul →
dust213–50.0823%24 Jul →
overpass7–13-0.0420%23 Jul →
dust211–10.0130%23 Jul →
ancient13–70.0927%22 Jul →
ancient13–30.1718%19 Jul →
ancient13–70.0423%19 Jul →
dust213–70.0215%19 Jul →
anubis13–90.0219%19 Jul →

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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