Lottospieler

Lottospieler — CS2 Stats

SI76561197973702529[U:1:13436801]Steam profile ↗✓ No bans

1,668Tracked matches52%Win rate2020Tracked since
CSDB Rating5.7 SolidSupport
Premier CS Rating18,907Top 50% of 215,386 CSDB-tracked playersPurple band · top ~12.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 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: 18,907 -947 7 May – 13 Nov · 60 days played
18,23921,584peak 21,5847 May13 Nov
21,584Peak Premier in tracked matches
68Days played since 2026-05-07

Premier CS Rating

  • 2,677 below peak (21,584)
  • -150 over 30 days · steady
  • -1,532 over 90 days
  • Next: Pink band at 20,000 — 1,093 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-10
  • Purple band first seen 2026-09-10

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

Share this profile

CSDB.GGLottospielerPREMIER18,907 · Purple bandcsdb.gg/stats

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Performance scores

Aim67
Positioning58
Utility72

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateWWLWLLTLWL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +2.0pp headshot accuracy · +72ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 525ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 598ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 563ms

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: Support — Utility contribution stands above the rest of this profile (+2 against its own average).

Aim6.7
Utility7.2
Positioning5.8
Opening Duels2.6

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

b1t

Plays most like b1t 77% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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

Counter-strafing. Only 68% 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

Aim6.7
Positioning5.8
Utility7.2
Mechanics4.1
Opening Duels3.2
Win Impact5.6

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 rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time555ms−42ms
first ⅓ avg 597ms → last ⅓ avg 555ms
Headshot accuracy18.3%+3.5%
first ⅓ avg 14.8% → last ⅓ avg 18.3%

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

0.08Best match rating · 13–6 · ancient, 3 Jul →
41%Best headshot accuracy · 6–13 · cache, 9 Nov →
359msFastest reaction time · 13–8 · inferno, 18 Oct →
13–1Biggest win · anubis, 6 Aug →

Across the last 100 tracked matches.

Highlights

3Longest win streak
W2Current streak
6–13In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 71% over 14dust2Weakest map · 26% over 19
MapGradePlayedRecordWin rateAvg rating
infernoB1910–953%-0.00
dust2D195–1426%-0.00
mirageA1710–759%-0.01
anubisS1410–471%-0.00
ancientC125–742%0.00
cacheA116–555%0.00
nukeC52–340%-0.01
overpass—31–233%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (26% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2Matches
0%Win rate
0.55Avg K/D
—ADR
46%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

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.

18.1%Headshot accuracy
36.1%Accuracy (enemy spotted)
38.9%Spray accuracy
68.5%Counter-strafing
10.1°Preaim
550msReaction time
41.3%T opening success
44.2%CT opening success
0.65Enemies flashed / flash
11.5%Flash assists
7.19HE damage / grenade
15.65Flashes / match

Recommended for you

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.

26% win rate across 19 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
inferno13–100.0010%13 Nov →
nuke13–11-0.074%13 Nov →
cache11–13-0.0119%13 Nov →
inferno13–100.0318%11 Nov →
anubis11–13-0.0317%10 Nov →
cache6–130.0341%9 Nov →
inferno15–150.0610%8 Nov →
mirage9–13-0.0618%7 Nov →
dust213–4-0.0329%4 Nov →
anubis2–13-0.0615%3 Nov →
cache13–110.0328%3 Nov →
mirage14–160.0115%23 Oct →
ancient9–13-0.0512%19 Oct →
inferno13–8-0.0115%18 Oct →
anubis13–60.0611%18 Oct →
cache14–16-0.0013%17 Oct →
anubis13–30.0212%16 Oct →
inferno13–50.0223%16 Oct →
dust28–13-0.0319%16 Oct →
anubis13–60.0711%15 Oct →
dust213–40.0120%15 Oct →
inferno11–13-0.0221%12 Oct →
dust28–13-0.0025%11 Oct →
nuke13–70.0331%10 Oct →
dust211–13-0.0020%9 Oct →
nuke10–130.0313%8 Oct →
inferno13–8-0.0025%7 Oct →
ancient13–50.0514%6 Oct →
mirage13–60.0211%6 Oct →
dust211–130.0630%5 Oct →
mirage11–13-0.0318%5 Oct →
dust27–13-0.0611%28 Sept →
nuke7–13-0.0425%27 Sept →
inferno13–4-0.0311%26 Sept →
mirage8–13-0.0513%25 Sept →
anubis13–7-0.0710%25 Sept →
mirage13–11-0.0016%22 Sept →
mirage11–13-0.0916%21 Sept →
inferno15–150.0011%20 Sept →
dust211–130.0121%16 Sept →
cache13–8-0.0110%12 Sept →
dust28–13-0.028%12 Sept →
inferno13–2-0.0223%12 Sept →
dust25–13-0.0521%11 Sept →
ancient10–13-0.0413%11 Sept →
dust213–11-0.0119%9 Sept →
anubis10–13-0.0416%7 Sept →
anubis13–8-0.056%6 Sept →
dust216–130.0410%2 Sept →
ancient8–13-0.035%2 Sept →
dust212–16-0.0216%30 Aug →
inferno15–15-0.0110%29 Aug →
mirage13–8-0.0117%28 Aug →
anubis13–7-0.0311%27 Aug →
ancient9–130.0210%27 Aug →
dust214–16-0.0312%25 Aug →
cache13–90.0220%25 Aug →
ancient7–13-0.0011%22 Aug →
inferno13–60.0621%22 Aug →
ancient7–13-0.054%21 Aug →
cache10–130.0615%20 Aug →
inferno4–130.0018%20 Aug →
ancient13–100.049%19 Aug →
ancient9–13-0.0520%18 Aug →
mirage13–20.0626%18 Aug →
cache13–8-0.0010%17 Aug →
inferno7–13-0.009%13 Aug →
mirage13–70.0311%13 Aug →
anubis0–13-0.117%13 Aug →
cache16–120.0323%7 Aug →
mirage13–9-0.0317%7 Aug →
anubis13–10.0723%6 Aug →
cache1–7-0.0311%6 Aug →
mirage13–110.009%5 Aug →
anubis13–30.039%5 Aug →
nuke6–13-0.0219%5 Aug →
cache13–8-0.092%19 Jul →
ancient13–60.0211%11 Jul →
dust213–160.0518%10 Jul →
overpass15–15-0.0416%5 Jul →
mirage11–130.0018%5 Jul →
ancient13–60.0817%3 Jul →
inferno11–13-0.0717%3 Jul →
dust29–130.0424%2 Jul →
dust25–13-0.0217%30 Jun →
inferno13–10.0213%20 May →
dust213–80.0623%19 May →
inferno13–90.0616%16 May →
inferno10–13-0.0511%15 May →
mirage13–8-0.0410%15 May →
overpass8–13-0.0210%15 May →
mirage13–80.0518%14 May →
mirage13–110.0417%13 May →
anubis13–80.0616%13 May →
mirage13–16-0.0118%11 May →
overpass13–5-0.045%10 May →
dust28–13-0.0322%10 May →
ancient13–60.0218%9 May →
inferno0–4-0.060%9 May →
anubis13–90.0424%7 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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