Lotsen//47-DK!

Lotsen//47-DK! — CS2 Stats

SE76561199205409721[U:1:1245143993]Steam profile ↗✓ No bans

784Tracked matches52%Win rate2021Tracked since
CSDB Rating5.8 SolidAll-Rounder
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,902 +3,171 2 Jan – 6 May · 30 days played
15,73121,464peak 21,4642 Jan6 May
22,137Peak Premier in tracked matches
46Days played since 2026-01-02

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

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CSDB.GGLotsen//47-DK!FACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim72
Positioning55
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY46–49–5Last 10046%Win rateWLWLLWWLLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −5.5pp headshot accuracy · −102ms 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 0.04
  • Avg headshot accuracy 15%
  • Avg reaction 484ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 552ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 602ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.2
Utility5.8
Positioning5.5
Opening Duels4.2
Clutch5.0

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

m0NESY

Plays most like m0NESY 87% 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. 598ms 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

Aim7.2
Positioning5.5
Utility5.8
Mechanics4.6
Opening Duels3.7
Win Impact5.6

Composite 5.8/10 (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 rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time595ms−51ms
first ⅓ avg 646ms → last ⅓ avg 595ms
Headshot accuracy16.3%−0.7%
first ⅓ avg 17.0% → last ⅓ avg 16.3%

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

0.17Best match rating · 9–13 · mirage, 21 Mar →
75%Best headshot accuracy · 1–6 · mirage, 19 Feb →
406msFastest reaction time · 13–3 · anubis, 28 Oct →
13–1Biggest win · mirage, 3 May →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

anubisBest map · 69% over 13infernoWeakest map · 38% over 21
MapGradePlayedRecordWin rateAvg rating
mirageC2510–1540%0.02
infernoC218–1338%0.01
anubisS139–469%0.01
ancientB136–746%-0.00
nukeC135–838%0.01
dust2C73–443%-0.01
vertigo—31–233%0.04
overpass—32–167%-0.01
cache—11–0100%0.06
cache_b—11–0100%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

266Matches
52%Win rate
1.14Avg K/D
85.5ADR
42%Headshot %

Clutches & streaks

45%1v1 clutch win
19%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage8556%1.3119.1
Inferno4450%1.1015.9
Anubis3855%1.1018.1
Dust22938%0.9514.6
Ancient2839%0.9315.0
Vertigo2162%1.1517.8
Nuke1547%0.9815.7
Train475%1.2726.3

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.

15.9%Headshot accuracy
40.7%Accuracy (enemy spotted)
39.1%Spray accuracy
70.6%Counter-strafing
9.0°Preaim
598msReaction time
45.0%T opening success
44.7%CT opening success
0.51Enemies flashed / flash
9.3%Flash assists
10.76HE damage / grenade
9.80Flashes / match

Recommended for you

Spend your practice time on Inferno

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

38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–30.079%28 Oct →
ancient6–13-0.017%28 Oct →
ancient13–60.1032%27 Oct →
inferno8–13-0.038%24 Aug →
inferno8–130.0718%18 Aug →
ancient13–6-0.0115%18 Aug →
anubis13–90.0313%6 May →
inferno11–13-0.0312%6 May →
mirage7–13-0.006%5 May →
anubis13–50.0519%5 May →
inferno13–90.0525%5 May →
cache13–90.0644%5 May →
mirage12–12-0.0213%3 May →
mirage13–10.1016%3 May →
inferno13–100.0219%1 May →
ancient3–13-0.0716%1 May →
nuke10–130.0616%1 May →
anubis9–13-0.019%28 Apr →
vertigo10–13-0.0216%28 Apr →
mirage15–150.0118%28 Apr →
anubis16–14-0.0610%27 Apr →
mirage13–110.0212%27 Apr →
inferno9–130.0113%27 Apr →
mirage16–130.0517%27 Apr →
inferno15–150.0213%23 Apr →
mirage13–30.1019%23 Apr →
ancient4–13-0.0021%23 Apr →
nuke11–130.038%22 Apr →
inferno13–60.0526%22 Apr →
anubis8–13-0.039%21 Apr →
nuke5–130.0523%21 Apr →
inferno11–130.0412%20 Apr →
ancient9–13-0.0122%20 Apr →
nuke15–15-0.0013%20 Apr →
ancient6–13-0.0520%20 Apr →
inferno10–13-0.0112%20 Apr →
inferno9–10.0212%20 Apr →
mirage13–4-0.0123%20 Apr →
mirage11–13-0.0219%17 Apr →
overpass9–13-0.0523%16 Apr →
nuke13–50.0519%16 Apr →
inferno6–13-0.0510%10 Apr →
anubis13–40.0112%10 Apr →
ancient13–70.0419%10 Apr →
anubis13–6-0.0726%10 Apr →
inferno13–60.0625%10 Apr →
mirage13–110.0718%8 Apr →
mirage13–60.1121%6 Apr →
nuke13–80.0016%31 Mar →
nuke8–130.0012%31 Mar →
anubis16–130.0122%31 Mar →
ancient13–60.0118%30 Mar →
mirage8–130.0611%28 Mar →
mirage11–13-0.065%28 Mar →
overpass13–10-0.0116%28 Mar →
mirage3–130.0819%22 Mar →
mirage9–130.1717%21 Mar →
nuke13–11-0.0215%21 Mar →
mirage13–9-0.019%20 Mar →
vertigo20–220.0717%20 Mar →
anubis13–100.0712%20 Mar →
anubis4–30.0512%18 Mar →
anubis1–130.0216%18 Mar →
mirage13–40.047%18 Mar →
ancient8–13-0.0213%18 Mar →
nuke13–8-0.0111%18 Mar →
inferno9–13-0.0727%18 Mar →
nuke7–13-0.056%15 Mar →
dust27–13-0.0216%11 Mar →
dust210–13-0.037%9 Mar →
dust211–130.0624%8 Mar →
mirage11–13-0.053%4 Mar →
mirage6–130.0016%4 Mar →
mirage13–9-0.0218%3 Mar →
dust27–130.0511%3 Mar →
mirage5–13-0.0216%23 Feb →
ancient13–4-0.0317%21 Feb →
inferno13–40.0920%20 Feb →
nuke11–13-0.0019%20 Feb →
mirage1–6-0.1075%19 Feb →
inferno8–130.0114%9 Feb →
mirage4–130.0112%9 Feb →
ancient13–30.0517%8 Feb →
inferno13–5-0.069%25 Jan →
mirage8–13-0.0625%15 Jan →
inferno16–19-0.0414%14 Jan →
overpass13–20.0312%14 Jan →
vertigo13–110.0617%14 Jan →
dust213–11-0.0914%14 Jan →
nuke14–16-0.059%14 Jan →
anubis3–13-0.0113%13 Jan →
cache_b13–90.0126%13 Jan →
inferno1–13-0.0119%13 Jan →
ancient8–13-0.0217%6 Jan →
dust213–100.0116%5 Jan →
inferno15–150.0414%5 Jan →
nuke13–70.1217%3 Jan →
inferno13–40.0819%3 Jan →
mirage7–13-0.037%3 Jan →
dust213–10-0.0520%2 Jan →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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