lakehouse

lakehouse — CS2 Stats

US76561198248804100[U:1:288538372]Steam profile ↗✓ No bans

1,783Tracked matches37%Win rate2021Tracked since
2,827Hours in CS11Hrs last 2 wks
CSDB Rating4.8 DevelopingPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,312), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate42.2%42.7%43.7%1.6% short
Shot accuracy9.1%11.3%12.0%3.0% short
Kill/death ratio1.020.991.02meets
Match win rate38.7%43.9%44.7%6.0% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGlakehouseFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim50
Positioning60
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY39–50–11Last 10039%Win rateLTLWWTWLWW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −0.7pp headshot accuracy · +23ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 658ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 690ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 678ms

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 (+2.4 against its own average).

Aim5.0
Utility5.2
Positioning6.0
Opening Duels3.1
Clutch0.0

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

donk

Plays most like donk 74% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 670ms 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

Aim5.0
Positioning6.0
Utility5.2
Mechanics5.2
Opening Duels4.2
Win Impact0.7

Composite 4.8/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time656ms−40ms
first ⅓ avg 696ms → last ⅓ avg 656ms
Headshot accuracy16.9%−0.9%
first ⅓ avg 17.8% → 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.

Personal bests

0.29Best match rating · 9–5 · sanctum, 4 Jun →
45%Best headshot accuracy · 4–9 · office, 4 Oct →
453msFastest reaction time · 9–7 · vertigo, 27 May →
13–0Biggest win · mirage, 23 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–4In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 71% over 7mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoD245–1921%0.01
nukeA169–756%0.06
vertigoA106–460%0.06
overpassC83–538%0.01
dust2S75–271%0.04
mirageD61–517%-0.02
poseidonD62–433%0.02
cacheD62–433%0.06
sanctumB63–350%0.08
office—30–30%-0.02
eldorado—21–150%0.06
ancient—20–20%-0.00
train—21–150%-0.03
debris—10–10%0.00
shelter—11–0100%-0.00

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.

Lifetime stats

47,040Lifetime kills
1.02K/D · Top 50% of Level 4 players
2,953Matches
38.7%Match win rate
42.2%Headshot %
9.1%Shot accuracy
7,434MVPs
985Hours (in match)
2,533Bombs planted
673Bombs defused

Most-used weapons

AK-4713,315
AWP4,552
MP91,205
P2501,111
MP71,053

Lifetime map wins

3,384nuke
3,380dust2
3,074inferno
1,416vertigo
798train
484office
70lake
40cbble

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

Faceit stats

Combat

10Matches
40%Win rate
0.99Avg K/D
79.6ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
20%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage650%0.9815.3
Inferno333%1.0117.0
Dust210%1.0020.0

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.

17.3%Headshot accuracy
37.5%Accuracy (enemy spotted)
41.8%Spray accuracy
73.5%Counter-strafing
14.3°Preaim
670msReaction time
47.3%T opening success
46.2%CT opening success
0.44Enemies flashed / flash
8.3%Flash assists
12.73HE damage / grenade
10.86Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.26° — above the 12° 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 0.4405 — 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
mirage10–13-0.0214%14 Oct →
vertigo12–12-0.0410%11 Oct →
mirage4–13-0.0117%11 Oct →
vertigo2–1-0.0317%11 Oct →
dust212–60.0814%11 Oct →
eldorado8–8-0.0225%7 Oct →
nuke9–70.0420%7 Oct →
poseidon2–90.0614%7 Oct →
inferno9–6-0.027%7 Oct →
cache13–40.2225%5 Oct →
dust213–4-0.0812%5 Oct →
dust213–90.0919%5 Oct →
dust213–5-0.0310%4 Oct →
dust21–10.2011%4 Oct →
office4–9-0.0245%4 Oct →
inferno6–13-0.0511%4 Oct →
inferno6–9-0.159%4 Oct →
overpass5–9-0.029%30 Sept →
nuke9–20.1718%30 Sept →
inferno9–60.1126%30 Sept →
vertigo12–120.0521%28 Sept →
vertigo13–60.029%28 Sept →
inferno8–130.1413%28 Sept →
nuke7–13-0.0517%28 Sept →
ancient2–13-0.0321%27 Sept →
inferno13–2-0.0111%27 Sept →
dust24–130.0211%27 Sept →
inferno8–13-0.0618%27 Sept →
vertigo6–130.1041%26 Sept →
inferno12–120.0621%26 Sept →
nuke3–13-0.0513%13 Sept →
inferno7–13-0.0414%5 Aug →
eldorado9–50.1317%11 Jul →
debris4–90.0012%11 Jul →
shelter13–7-0.0012%11 Jul →
overpass13–8-0.0116%30 Jun →
nuke6–130.0719%30 Jun →
office11–130.0111%26 Jun →
ancient9–130.0213%25 Jun →
inferno4–90.0213%25 Jun →
inferno4–9-0.0310%25 Jun →
train9–13-0.0533%13 Jun →
dust213–9-0.0334%13 Jun →
sanctum9–70.0817%12 Jun →
vertigo9–60.0711%12 Jun →
nuke9–70.0626%12 Jun →
inferno6–90.0243%12 Jun →
sanctum9–50.2925%4 Jun →
poseidon9–40.1235%4 Jun →
vertigo9–30.1917%4 Jun →
inferno6–9-0.0210%4 Jun →
nuke9–40.1216%4 Jun →
nuke6–90.0113%4 Jun →
nuke4–90.0113%2 Jun →
inferno3–9-0.0126%2 Jun →
sanctum4–9-0.0314%2 Jun →
nuke9–20.1730%1 Jun →
overpass6–90.0724%1 Jun →
nuke9–40.1729%31 May →
inferno9–10.2517%31 May →
overpass4–130.0418%31 May →
office10–13-0.0522%27 May →
cache2–130.0620%27 May →
sanctum8–8-0.0220%27 May →
inferno8–8-0.0319%27 May →
poseidon8–80.0423%27 May →
inferno9–60.0621%27 May →
poseidon6–90.0024%27 May →
vertigo9–70.0614%27 May →
overpass9–40.042%27 May →
nuke3–9-0.1012%27 May →
nuke8–80.0722%27 May →
sanctum9–30.1819%27 May →
inferno5–9-0.0228%27 May →
inferno0–9-0.0817%26 May →
overpass7–90.0111%26 May →
sanctum3–9-0.0220%26 May →
poseidon5–9-0.1921%26 May →
nuke9–10.2313%26 May →
vertigo8–8-0.0313%26 May →
inferno2–9-0.146%26 May →
inferno8–80.0621%26 May →
mirage9–13-0.0214%23 May →
mirage13–0-0.0012%23 May →
overpass13–5-0.0610%23 May →
cache4–13-0.0723%22 May →
cache12–120.0924%22 May →
nuke9–60.0016%22 May →
inferno5–9-0.0326%22 May →
train13–9-0.0118%21 May →
mirage5–13-0.0314%18 May →
nuke9–6-0.0010%18 May →
inferno5–90.0724%18 May →
cache7–13-0.0420%18 May →
mirage4–13-0.0513%18 May →
cache13–30.1124%18 May →
poseidon9–50.1139%18 May →
overpass7–9-0.0114%18 May →
vertigo9–60.1921%18 May →
inferno6–90.0925%18 May →

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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