SWEGER- LFP

SWEGER- LFP — CS2 Stats

BT76561199020930367[U:1:1060664639]Steam profile ↗✓ No bans

2,844Tracked matches53%Win rate2020Tracked since
9,802Hours in CS52Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
FaceitLevel 10 · 2,414 ELOTop 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,414 → 2,414
+2Tracked matches · now 2,844
0.0ppWin rate · 53.3% → 53.3%

Rating over time

Faceit ELO: 2,414 +0 29 Aug – 12 Nov · 4 observations
2,4142,414peak 2,41429 Aug12 Nov
2,414Highest Faceit ELO seen on CSDB
62Days played since 2025-12-19

Faceit ELO

  • At peak — 2,414
  • Next: 2,500 ELO at 2,500 — 86 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-29
  • Level 9 first seen 2026-08-29

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate49.0%50.9%
Shot accuracy15.0%13.7%
Kill/death ratio0.761.09
Match win rate48.8%48.4%

Share this profile

CSDB.GGSWEGER- LFPFACEITLevel 10 · 2,414 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,414csdb.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

Aim83
Positioning61
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY53–47Last 10053%Win rateLWLWLLLLWW

Last 10 vs previous 10: −40pp win rate · +0.01 avg rating · −4.5pp headshot accuracy · +42ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 544ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 574ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 552ms

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 (+1.7 against its own average).

Aim8.3
Utility3.5
Positioning6.1
Opening Duels4.5
Clutch3.6

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

donk

Plays most like donk 93% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.3
Positioning6.1
Utility3.5
Mechanics6.9
Opening Duels3.4
Win Impact6.1

Composite 6.2/10 (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 rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time565ms−7ms
first ⅓ avg 573ms → last ⅓ avg 565ms
Headshot accuracy22.2%+0.0%
first ⅓ avg 22.1% → last ⅓ avg 22.2%

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

0.14Best match rating · 13–3 · anubis, 28 Apr →
41%Best headshot accuracy · 13–6 · overpass, 27 Mar →
359msFastest reaction time · 2–13 · inferno, 15 May →
13–1Biggest win · overpass, 28 Apr →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

overpassBest map · 67% over 9dust2Weakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeB189–950%-0.01
mirageS1711–665%0.01
ancientB157–847%0.01
infernoB147–750%-0.00
anubisA138–562%-0.01
overpassS96–367%0.01
cacheB84–450%0.00
dust2D61–517%-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

236,445Lifetime kills
0.76K/D
6,309Matches
48.8%Match win rate · Top 50% of Level 10 players
49.0%Headshot %
15.0%Shot accuracy · Top 50% of Level 10 players
20,332MVPs
5,849Hours (in match)
8,714Bombs planted
3,203Bombs defused

Most-used weapons

AK-47115,510
AWP36,440
MP94,357
MAC-103,823
Knife3,337

Lifetime map wins

14,364inferno
10,156dust2
5,867vertigo
4,829nuke
3,427train
237cbble
103office
103dust

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

Faceit stats

Combat

3,921Matches
51%Win rate
1.05Avg K/D
73.6ADR
49%Headshot %

Clutches & streaks

38%1v1 clutch win
17%1v2 clutch win
16Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage49853%1.0015.5
Ancient41047%1.0515.1
Anubis34855%1.0515.2
Dust230249%0.9914.8
Inferno21851%1.0215.5
Nuke15146%0.9514.3
Vertigo13156%1.0315.2
Overpass6354%1.0114.9

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.

22.2%Headshot accuracy
35.7%Accuracy (enemy spotted)
38.6%Spray accuracy
81.0%Counter-strafing
8.5°Preaim
547msReaction time
44.0%T opening success
43.5%CT opening success
0.48Enemies flashed / flash
3.6%Flash assists
6.60HE damage / grenade
5.15Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4819 — below the 0.5 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.

17% win rate across 6 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
dust29–130.035%8 Nov →
cache13–11-0.0023%7 Nov →
dust210–13-0.0224%6 Nov →
mirage13–60.0330%21 Oct →
inferno7–13-0.0126%21 Oct →
mirage11–130.0122%13 Oct →
dust211–130.0432%12 Oct →
nuke9–13-0.1123%7 Oct →
cache13–20.0414%4 Oct →
ancient13–9-0.0311%24 Sept →
anubis16–13-0.0318%14 Sept →
cache13–4-0.0227%5 Sept →
cache11–130.0132%5 Sept →
mirage13–5-0.0125%2 Sept →
ancient13–60.0522%31 Aug →
ancient8–130.0028%31 Aug →
mirage16–130.0319%19 Aug →
mirage13–11-0.0520%19 Aug →
cache13–9-0.0531%19 Aug →
nuke22–20-0.0231%19 Aug →
anubis22–20-0.0311%18 Aug →
mirage7–130.0124%18 Aug →
dust213–4-0.0125%14 Aug →
nuke5–13-0.0026%28 Jul →
ancient13–90.0325%20 Jul →
cache11–130.0828%18 Jul →
inferno9–13-0.0621%17 Jul →
dust29–13-0.0618%10 Jul →
anubis11–13-0.0512%5 Jul →
ancient13–60.0113%20 Jun →
inferno10–13-0.0521%5 Jun →
mirage13–90.0036%2 Jun →
dust20–40.016%1 Jun →
mirage13–110.0018%30 May →
nuke8–130.0223%28 May →
mirage13–11-0.0124%28 May →
overpass7–13-0.029%28 May →
mirage9–13-0.0116%22 May →
mirage13–80.0529%22 May →
inferno13–9-0.0323%21 May →
nuke13–100.038%21 May →
inferno13–10-0.0227%20 May →
ancient19–17-0.0118%20 May →
overpass13–30.0620%19 May →
ancient11–130.0226%19 May →
nuke19–150.0131%19 May →
inferno13–80.0833%19 May →
ancient13–60.0510%17 May →
nuke13–4-0.0319%17 May →
overpass13–60.0822%17 May →
anubis13–110.0418%17 May →
mirage5–13-0.0325%17 May →
inferno11–130.0314%17 May →
nuke10–13-0.0011%16 May →
ancient5–130.0119%16 May →
inferno13–4-0.0316%16 May →
inferno13–10-0.0324%16 May →
anubis13–16-0.0115%16 May →
anubis13–90.0020%16 May →
nuke13–30.1213%16 May →
nuke7–130.0123%15 May →
overpass5–13-0.0420%15 May →
anubis4–13-0.0724%15 May →
nuke7–13-0.073%15 May →
inferno2–13-0.0229%15 May →
cache7–130.0322%14 May →
ancient13–60.0911%14 May →
mirage16–130.0323%11 May →
anubis13–110.0121%7 May →
nuke13–90.0329%6 May →
cache5–13-0.0524%5 May →
nuke11–130.0617%4 May →
overpass9–130.0026%29 Apr →
anubis13–30.1419%28 Apr →
nuke10–13-0.1213%28 Apr →
overpass13–10.0325%28 Apr →
mirage13–60.0318%28 Apr →
anubis6–13-0.0024%27 Apr →
mirage7–130.0723%27 Apr →
ancient10–13-0.019%25 Apr →
inferno8–13-0.0521%21 Apr →
inferno8–130.0228%20 Apr →
nuke13–100.0529%16 Apr →
overpass13–10-0.0515%13 Apr →
inferno13–20.0521%11 Apr →
anubis13–5-0.0319%11 Apr →
nuke13–9-0.0125%11 Apr →
overpass13–10.0632%8 Apr →
inferno13–60.0527%27 Mar →
overpass13–60.0041%27 Mar →
anubis13–40.0220%15 Mar →
nuke19–17-0.0025%11 Mar →
mirage10–13-0.0524%10 Mar →
ancient7–13-0.0513%26 Feb →
anubis4–13-0.0731%25 Feb →
ancient4–13-0.0527%24 Feb →
mirage13–30.0513%20 Feb →
ancient8–130.0523%21 Jan →
nuke2–13-0.087%14 Jan →
ancient7–13-0.0618%19 Dec →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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