[SK]✪LazyTanner$

[SK]✪LazyTanner$ — CS2 Stats

76561198272154221[U:1:311888493]Steam profile ↗1 game ban

1,171Tracked matches44%Win rate2021Tracked since
2,919Hours in CS224Hrs last 2 wks
CSDB Rating5.7 SolidPositional Player
Premier CS Rating16,218Purple band · top ~23.6% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (8 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: 16,218 +3,312 1 Sept – 30 Oct · 26 days played
11,93716,965peak 16,9651 Sept30 Oct
17,345Peak Premier in tracked matches
1,204Highest Faceit ELO seen on CSDB
32Days played since 2026-08-31

Faceit ELO

  • At peak — 1,204
  • Next: Level 7 at 1,351 — 147 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

  • 747 below peak (16,965)
  • +2,497 over 30 days · improving
  • Next: Pink band at 20,000 — 3,782 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.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate30.9%44.4%46.9%16.0% short
Shot accuracy11.8%11.9%13.0%1.2% short
Kill/death ratio0.961.031.080.12 short
Match win rate45.7%45.2%46.7%meets

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GG[SK]✪LazyTanner$PREMIER16,218 · Purple bandPEAK ELO1,204csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim64
Positioning67
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateLWLWLLWLTW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +2.4pp headshot accuracy · −81ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 553ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 540ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 581ms

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 (+1.4 against its own average).

Aim6.4
Utility5.2
Positioning6.7
Opening Duels5.6
Clutch3.6

Strong CT-side opener

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 83% 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Reaction time. 574ms 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

Aim6.4
Positioning6.7
Utility5.2
Mechanics5.0
Opening Duels6.4
Win Impact3.1

Composite 5.7/10 (Solid), 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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time575ms+24ms
first ⅓ avg 551ms → last ⅓ avg 575ms
Headshot accuracy13.9%+0.2%
first ⅓ avg 13.7% → last ⅓ avg 13.9%

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

0.18Best match rating · 5–1 · rush_001, 7 Oct →
31%Best headshot accuracy · 7–13 · inferno, 17 Sept →
391msFastest reaction time · 13–6 · inferno, 23 Oct →
13–2Biggest win · anubis, 3 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
9–10In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 71% over 14cacheWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA1811–761%0.02
dust2C156–940%-0.00
infernoC146–843%0.01
nukeS1410–471%0.02
ancientC135–838%0.02
anubisA127–558%-0.01
cacheC114–736%0.00
rush_001—21–150%0.13
vertigo—10–10%0.07

Across the last 100 tracked matches.

Lifetime stats

32,716Lifetime kills
0.96K/D
1,845Matches
45.7%Match win rate · Top 50% of Purple band
30.9%Headshot %
11.8%Shot accuracy
4,237MVPs
783Hours (in match)
1,953Bombs planted
471Bombs defused

Most-used weapons

AK-4712,129
AWP3,983
MP9659
Knife558

Lifetime map wins

3,208inferno
3,153dust2
1,729nuke
622vertigo
437train
173lake
97office
64cbble

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

Faceit stats

Combat

357Matches
51%Win rate
1.14Avg K/D
80.6ADR
28%Headshot %

Clutches & streaks

38%1v1 clutch win
26%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3456%1.1516.1
Dust21911%0.8113.7
Ancient1867%1.2518.8
Nuke1656%1.2217.4
Inferno1242%1.8616.0
Anubis1060%0.8112.2
Overpass771%1.4220.3
Vertigo425%0.8011.0

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.

13.4%Headshot accuracy
38.3%Accuracy (enemy spotted)
39.5%Spray accuracy
72.6%Counter-strafing
10.6°Preaim
574msReaction time
50.6%T opening success
60.8%CT opening success
0.52Enemies flashed / flash
6.9%Flash assists
7.60HE damage / grenade
8.96Flashes / 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 13.392% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0318%30 Oct →
nuke13–10-0.0817%30 Oct →
nuke11–130.0517%29 Oct →
dust213–40.044%29 Oct →
anubis11–13-0.0519%27 Oct →
ancient4–90.0819%26 Oct →
inferno13–6-0.065%23 Oct →
mirage9–13-0.0113%23 Oct →
anubis15–15-0.0115%23 Oct →
cache13–60.1119%23 Oct →
nuke16–14-0.019%22 Oct →
vertigo3–100.0710%22 Oct →
inferno12–120.0614%22 Oct →
cache8–13-0.018%21 Oct →
dust213–6-0.0123%21 Oct →
nuke13–11-0.0013%21 Oct →
cache11–130.0111%21 Oct →
inferno13–80.029%20 Oct →
cache11–13-0.009%20 Oct →
ancient13–11-0.0116%18 Oct →
nuke13–4-0.0618%17 Oct →
inferno8–13-0.035%13 Oct →
ancient6–13-0.0313%12 Oct →
mirage13–110.0818%9 Oct →
inferno12–120.1213%9 Oct →
dust213–11-0.0115%9 Oct →
dust214–16-0.0018%9 Oct →
dust27–130.0410%7 Oct →
cache7–13-0.0613%7 Oct →
mirage11–130.0211%7 Oct →
anubis13–90.0314%7 Oct →
rush_0015–10.1823%7 Oct →
inferno3–13-0.0423%6 Oct →
cache13–10-0.018%6 Oct →
anubis13–9-0.044%6 Oct →
dust212–16-0.009%4 Oct →
nuke16–14-0.0616%3 Oct →
anubis13–2-0.0110%3 Oct →
inferno13–50.0715%3 Oct →
mirage13–10-0.0419%3 Oct →
mirage13–60.0426%3 Oct →
mirage13–8-0.0010%3 Oct →
mirage16–140.0513%3 Oct →
dust213–9-0.0616%3 Oct →
anubis13–16-0.0320%2 Oct →
rush_0014–80.0813%2 Oct →
dust26–13-0.0419%1 Oct →
ancient13–110.0418%1 Oct →
nuke13–30.0616%1 Oct →
anubis13–60.0312%1 Oct →
anubis11–130.0218%1 Oct →
mirage13–100.0213%1 Oct →
anubis13–90.0414%1 Oct →
inferno7–130.0131%17 Sept →
dust28–13-0.0421%16 Sept →
inferno14–160.0312%11 Sept →
cache5–130.018%11 Sept →
inferno2–13-0.0017%11 Sept →
ancient10–13-0.0131%11 Sept →
mirage11–130.0315%9 Sept →
mirage13–90.0916%9 Sept →
cache13–80.0611%9 Sept →
dust29–13-0.0118%9 Sept →
ancient7–130.0812%9 Sept →
anubis13–7-0.0613%9 Sept →
nuke13–90.0219%9 Sept →
ancient4–130.0215%8 Sept →
mirage13–80.0730%8 Sept →
ancient13–40.0616%8 Sept →
nuke11–130.0116%7 Sept →
anubis13–50.0612%7 Sept →
inferno13–9-0.0118%7 Sept →
ancient12–16-0.0112%7 Sept →
mirage9–13-0.0316%6 Sept →
ancient12–160.0116%6 Sept →
ancient13–40.0818%6 Sept →
nuke13–80.1615%6 Sept →
mirage13–50.0516%6 Sept →
mirage13–10-0.0412%6 Sept →
ancient13–4-0.019%6 Sept →
dust28–13-0.0720%5 Sept →
mirage4–13-0.0414%5 Sept →
mirage10–130.0516%4 Sept →
dust210–130.0115%4 Sept →
cache5–13-0.0915%4 Sept →
mirage13–9-0.026%4 Sept →
inferno13–6-0.077%4 Sept →
dust213–110.059%4 Sept →
inferno13–80.077%4 Sept →
nuke13–90.1416%4 Sept →
ancient7–13-0.0515%3 Sept →
cache13–100.0010%3 Sept →
nuke8–13-0.019%2 Sept →
nuke16–13-0.016%2 Sept →
nuke8–130.0415%2 Sept →
dust213–70.0518%2 Sept →
mirage7–13-0.0312%2 Sept →
anubis7–13-0.1112%1 Sept →
cache2–9-0.0113%1 Sept →
dust25–130.0314%31 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.