Land Lubber

Land Lubber — CS2 Stats

NZ76561198052097401[U:1:91831673]Steam profile ↗✓ No bans

2,499Tracked matches47%Win rate2022Tracked since
CSDB Rating2.9 LearningPositional Player
Premier CS Rating3,781Grey band · top ~84% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (yesterday). 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: 3,781 +436 1 Sept – 10 Oct · 17 days played
2,8283,781peak 3,7811 Sept10 Oct
4,047Peak Premier in tracked matches
18Days played since 2026-09-01

Premier CS Rating

  • At peak — 3,781
  • +824 over 30 days · improving
  • Next: Light Blue band at 5,000 — 1,219 to go

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

Share this profile

CSDB.GGLand LubberFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER3,781 · Grey bandcsdb.gg/stats

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Performance scores

Aim22
Positioning47
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY39–58–3Last 10039%Win rateWLWLLLLWLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +3.0pp headshot accuracy · −15ms reaction

Win rate down 20pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 703ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 688ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 695ms

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 (+1.6 against its own average).

Aim2.2
Utility3.6
Positioning4.7
Opening Duels1.0

Strong CT-side openerLimited 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.

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

ZywOo

Plays most like ZywOo 63% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Reaction time. 682ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim2.2
Positioning4.7
Utility3.6
Mechanics3.7
Opening Duels1.7
Win Impact3.9

Composite 2.9/10 (Learning), 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 rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time686ms+52ms
first ⅓ avg 634ms → last ⅓ avg 686ms
Headshot accuracy10.6%−0.1%
first ⅓ avg 10.7% → last ⅓ avg 10.6%

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

0.14Best match rating · 13–6 · cache, 9 Oct →
30%Best headshot accuracy · 6–13 · cache, 3 Oct →
484msFastest reaction time · 2–13 · anubis, 19 Sept →
13–0Biggest win · cache, 3 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak
6–10In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 71% over 17dust2Weakest map · 18% over 22
MapGradePlayedRecordWin rateAvg rating
dust2D224–1818%-0.03
cacheS1712–571%0.00
infernoC177–1041%-0.01
nukeC125–742%-0.01
mirageD102–820%-0.04
ancientD103–730%-0.03
anubisC94–544%-0.04
train—21–150%-0.01
office—11–0100%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (18% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2Matches
0%Win rate
0.34Avg K/D
—ADR
42%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis10%0.244.0
Mirage10%0.436.0

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.

10.6%Headshot accuracy
30.5%Accuracy (enemy spotted)
25.5%Spray accuracy
66.8%Counter-strafing
11.3°Preaim
682msReaction time
30.7%T opening success
42.7%CT opening success
0.49Enemies flashed / flash
0.0%Flash assists
18.38HE damage / grenade
1.29Flashes / 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 10.6342% — 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 0.4931 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 30.676% — below the 40% mark we flag

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.

18% win rate across 22 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
cache13–10-0.018%10 Oct →
dust24–13-0.0417%10 Oct →
cache13–80.0116%10 Oct →
dust26–13-0.0911%10 Oct →
mirage9–13-0.038%10 Oct →
dust29–13-0.0611%10 Oct →
dust22–13-0.0813%10 Oct →
cache13–50.1216%10 Oct →
dust23–130.0113%10 Oct →
cache13–70.016%10 Oct →
cache13–110.0115%10 Oct →
inferno8–13-0.0011%9 Oct →
cache13–70.0111%9 Oct →
ancient3–13-0.1012%9 Oct →
cache13–9-0.0112%9 Oct →
ancient2–13-0.057%9 Oct →
inferno13–60.015%9 Oct →
inferno13–50.024%9 Oct →
cache13–60.148%9 Oct →
dust26–13-0.133%4 Oct →
dust211–13-0.0811%4 Oct →
dust213–70.047%3 Oct →
anubis13–40.024%3 Oct →
inferno6–13-0.0511%3 Oct →
cache13–00.0410%3 Oct →
inferno9–13-0.0811%3 Oct →
cache6–13-0.0830%3 Oct →
train13–3-0.023%3 Oct →
dust211–13-0.0212%3 Oct →
cache4–13-0.0811%3 Oct →
dust21–13-0.0813%3 Oct →
inferno13–5-0.018%2 Oct →
inferno11–130.0513%2 Oct →
cache13–40.0010%2 Oct →
mirage5–13-0.0618%2 Oct →
inferno13–90.0116%29 Sept →
nuke2–13-0.0510%29 Sept →
ancient13–0-0.043%29 Sept →
mirage10–13-0.0412%29 Sept →
dust212–8-0.0811%29 Sept →
inferno6–13-0.0415%26 Sept →
mirage9–13-0.056%26 Sept →
nuke11–13-0.064%26 Sept →
dust211–13-0.0123%26 Sept →
dust213–8-0.0311%19 Sept →
mirage7–13-0.1220%19 Sept →
anubis2–13-0.114%19 Sept →
ancient13–9-0.048%19 Sept →
mirage16–14-0.025%19 Sept →
anubis13–110.009%19 Sept →
inferno5–130.026%19 Sept →
nuke5–13-0.076%19 Sept →
inferno13–50.0210%19 Sept →
dust212–120.049%19 Sept →
anubis12–16-0.059%18 Sept →
dust213–30.1015%18 Sept →
ancient6–13-0.047%18 Sept →
anubis13–10-0.0612%18 Sept →
nuke3–13-0.026%18 Sept →
ancient5–13-0.037%18 Sept →
dust213–16-0.0412%18 Sept →
anubis9–13-0.0117%12 Sept →
mirage12–16-0.0117%12 Sept →
ancient13–30.0214%12 Sept →
mirage13–10.0115%12 Sept →
dust29–13-0.0214%12 Sept →
nuke13–110.086%12 Sept →
nuke15–15-0.005%12 Sept →
anubis11–13-0.029%11 Sept →
cache8–13-0.064%11 Sept →
nuke13–100.0114%11 Sept →
cache13–1-0.030%11 Sept →
ancient10–130.0315%11 Sept →
cache1–13-0.0611%11 Sept →
train9–130.0113%10 Sept →
ancient3–13-0.024%10 Sept →
inferno10–13-0.0410%10 Sept →
dust28–13-0.027%10 Sept →
cache13–50.036%10 Sept →
dust25–13-0.077%10 Sept →
nuke13–20.0718%7 Sept →
nuke13–60.015%7 Sept →
dust213–16-0.0219%6 Sept →
mirage11–13-0.0310%6 Sept →
dust27–13-0.0217%6 Sept →
nuke9–13-0.0814%6 Sept →
inferno11–13-0.0611%6 Sept →
mirage9–13-0.0111%5 Sept →
inferno13–100.0326%5 Sept →
inferno13–60.039%5 Sept →
ancient9–13-0.035%5 Sept →
anubis13–11-0.0214%5 Sept →
anubis3–13-0.068%4 Sept →
nuke10–13-0.0411%4 Sept →
inferno11–13-0.078%4 Sept →
nuke13–11-0.0218%3 Sept →
inferno15–150.0311%3 Sept →
dust22–13-0.065%3 Sept →
cache11–13-0.0215%2 Sept →
office13–100.0315%2 Sept →

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 →

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