Lappus

Lappus — CS2 Stats

DE76561198058203515[U:1:97937787]Steam profile ↗✓ No bans

423Tracked matches70%Win rate2021Tracked since
1,525Hours in CS4Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
Premier CS Rating20,622Top 50% of 201,197 CSDB-tracked playersPink band · top ~7.8% of ranked players (population est.)
CSDB Leaderboard#70909 of 247982 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (7 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: 20,622 +1,886 17 Feb – 26 Sept · 31 days played
14,43120,622peak 20,62217 Feb26 Sept
20,722Peak Premier in tracked matches
37Days played since 2026-02-17

Premier CS Rating

  • At peak — 20,622
  • +5,622 over 90 days
  • Next: Red band at 25,000 — 4,378 to go
  • Reached: Pink band · 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.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate43.3%46.9%49.2%6.0% short
Shot accuracy15.9%13.0%13.4%above
Kill/death ratio1.341.081.12above
Match win rate45.2%46.7%48.5%3.3% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLappusPREMIER20,622 · Pink bandcsdb.gg/stats

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Performance scores

Aim67
Positioning64
Utility42

0–100 skill scores via Leetify.

Recent form

HOT47–53Last 10047%Win rateLWWWWWWLLW

Last 10 vs previous 10: +10pp win rate · −0.05 avg rating · −0.2pp headshot accuracy · −2ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 622ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 608ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 609ms

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 (+1.9 against its own average).

Aim6.7
Utility4.2
Positioning6.4
Opening Duels2.9

Limited 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

iM

Plays most like iM 86% 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. 599ms 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

Aim6.7
Positioning6.4
Utility4.2
Mechanics5.7
Opening Duels3.5
Win Impact10.0

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time608ms+25ms
first ⅓ avg 583ms → last ⅓ avg 608ms
Headshot accuracy17.1%+3.7%
first ⅓ avg 13.4% → last ⅓ avg 17.1%

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

0.18Best match rating · 13–3 · inferno, 14 Sept →
36%Best headshot accuracy · 2–10 · mirage, 30 Apr →
438msFastest reaction time · 13–5 · inferno, 12 Apr →
13–1Biggest win · nuke, 12 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–11In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 63% over 8dust2Weakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
infernoB3014–1647%0.02
mirageB189–950%0.02
nukeC188–1044%0.03
dust2C104–640%0.00
anubisA85–363%0.00
overpassC73–443%-0.01
ancientA53–260%0.01
cache—31–233%-0.02
poseidon—10–10%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,920Lifetime kills
1.34K/D · Top 25% of Pink band
2,391Matches
45.2%Match win rate
43.3%Headshot %
15.9%Shot accuracy · Top 25% of Pink band
6,151MVPs
672Hours (in match)
2,351Bombs planted
353Bombs defused

Most-used weapons

AK-479,348
AWP8,125
MP91,294
P901,215
SG 5531,013

Lifetime map wins

4,319cbble
3,186inferno
1,797dust2
993train
558nuke
481lake
265vertigo
204bank

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

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
37.7%Accuracy (enemy spotted)
42.9%Spray accuracy
75.8%Counter-strafing
11.6°Preaim
599msReaction time
47.0%T opening success
40.8%CT opening success
0.53Enemies flashed / flash
5.4%Flash assists
9.62HE damage / grenade
1.98Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.9767 — below the 4 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.

40% win rate across 10 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
cache10–13-0.0610%26 Sept →
inferno3–00.0025%26 Sept →
inferno13–11-0.0115%21 Sept →
mirage13–100.0116%21 Sept →
inferno13–6-0.0625%21 Sept →
nuke13–80.0523%18 Sept →
dust213–50.0012%17 Sept →
inferno7–90.0427%16 Sept →
inferno1–9-0.178%16 Sept →
ancient13–50.1020%16 Sept →
inferno13–30.1821%14 Sept →
anubis13–7-0.0332%14 Sept →
nuke4–130.0514%14 Sept →
cache16–140.0717%4 Aug →
anubis0–13-0.0414%4 Aug →
inferno13–70.1013%4 Aug →
dust216–14-0.0115%4 Aug →
inferno9–60.1830%2 Aug →
nuke4–13-0.0315%27 Jul →
nuke3–13-0.0612%27 Jul →
mirage13–80.1316%27 Jul →
inferno11–130.0116%27 Jul →
nuke13–30.0415%26 Jul →
inferno13–70.0723%26 Jul →
mirage9–13-0.0220%26 Jul →
mirage13–70.0417%24 Jul →
inferno13–50.099%24 Jul →
nuke11–130.0218%21 Jun →
mirage13–8-0.0610%21 Jun →
anubis13–4-0.057%21 Jun →
inferno13–5-0.0314%21 Jun →
mirage13–90.1117%21 Jun →
inferno13–16-0.0419%21 Jun →
ancient12–160.0221%19 Jun →
mirage13–9-0.0614%19 Jun →
nuke9–130.0210%19 Jun →
dust27–13-0.0413%19 Jun →
inferno7–130.0427%19 Jun →
ancient13–11-0.0114%18 Jun →
mirage10–13-0.0310%18 Jun →
inferno10–130.0420%18 Jun →
inferno13–11-0.0321%17 Jun →
nuke16–13-0.0313%17 Jun →
overpass10–13-0.0610%17 Jun →
mirage11–13-0.0311%16 Jun →
nuke13–80.0622%12 Jun →
mirage10–13-0.0318%11 Jun →
ancient13–80.0015%11 Jun →
inferno7–130.0513%11 Jun →
mirage10–130.0617%11 Jun →
mirage13–50.0732%11 Jun →
inferno5–130.026%11 Jun →
mirage13–8-0.007%9 Jun →
dust213–100.0125%9 Jun →
mirage13–110.0416%30 May →
inferno8–13-0.0215%29 May →
dust211–130.0215%29 May →
cache2–13-0.0610%23 May →
inferno4–9-0.1016%23 May →
overpass13–80.0218%14 May →
dust26–13-0.0325%14 May →
mirage2–100.0236%30 Apr →
inferno8–130.0022%16 Apr →
inferno13–5-0.0121%12 Apr →
overpass9–13-0.0012%12 Apr →
nuke13–10.1120%12 Apr →
poseidon5–9-0.068%12 Apr →
nuke5–130.0119%28 Mar →
nuke9–130.0417%24 Mar →
overpass13–11-0.0310%23 Mar →
anubis13–70.109%23 Mar →
mirage11–130.0322%1 Mar →
overpass5–10.017%1 Mar →
inferno13–40.1121%28 Feb →
nuke8–130.0424%28 Feb →
inferno10–130.058%28 Feb →
inferno13–8-0.027%28 Feb →
nuke13–70.0718%27 Feb →
anubis7–13-0.0223%27 Feb →
mirage11–130.0410%22 Feb →
inferno3–13-0.0814%22 Feb →
nuke3–130.0412%22 Feb →
dust213–100.0021%22 Feb →
nuke11–130.015%22 Feb →
anubis3–13-0.043%21 Feb →
inferno9–13-0.0015%21 Feb →
dust211–130.0216%21 Feb →
mirage7–13-0.038%21 Feb →
inferno6–130.0720%21 Feb →
overpass3–13-0.0513%21 Feb →
anubis13–100.1217%19 Feb →
inferno13–80.042%19 Feb →
dust211–130.0418%19 Feb →
inferno11–13-0.048%19 Feb →
nuke13–20.0619%19 Feb →
anubis13–11-0.0114%19 Feb →
nuke13–90.086%18 Feb →
ancient3–13-0.048%18 Feb →
overpass9–130.0514%18 Feb →
dust210–13-0.0116%17 Feb →

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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