Svedjehed

Svedjehed — CS2 Stats

PROapeJohnny SpeedsSwedenRiflerSettings & gear profile →

SE76561198130440634[U:1:170174906]Steam profile ↗✓ No bans

4,253Tracked matches57%Win rate2020Tracked since
CSDB Rating6.6 SolidSupport
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 3,722 → 3,722
+3Tracked matches · now 4,253
0.0ppWin rate · 56.7% → 56.7%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 44 days played since 25 Nov 2025. Come back after the next session and the change shows above.

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Rating over time

Faceit ELO: 3,722 +0 28 Aug16 Sept · 5 observations
3,7223,722peak 3,72228 Aug16 Sept
3,722Highest Faceit ELO seen on CSDB
44Days played since 2025-11-25

Faceit ELO

  • At peak — 3,722
  • Next: 4,000 ELO at 4,000 278 to go
  • Reached: 3,500 ELO · 3,000 ELO · 2,500 ELO · Level 10
  • 3,500 ELO first seen 2026-08-28
  • 3,000 ELO first seen 2026-08-28

CSDB’s own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGSvedjehedPEAK ELO3,722csdb.gg/stats

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Performance scores

Aim80
Positioning56
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY5446Last 10054%Win rateLWWWWLLLLW

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · +4.0pp headshot accuracy · +65ms reaction

Win rate down 30pp 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

  • 41 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 23%
  • Avg reaction 542ms

Last 10

  • 55 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 549ms

Last 20

  • 137 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 517ms

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: SupportUtility contribution stands above the rest of this profile (+1.4 against its own average).

Aim8.0
Utility5.9
Positioning5.6
Opening Duels2.9
Clutch3.6

Strong CT-side openerEffective flashes

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

NiKo

Plays most like NiKo 92% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.7° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 50% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.0
Positioning5.6
Utility5.9
Mechanics6.2
Opening Duels2.5
Win Impact7.2

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 time504ms−49ms
first ⅓ avg 554ms → last ⅓ avg 504ms
Headshot accuracy19.9%+0.1%
first ⅓ avg 19.8% → last ⅓ avg 19.9%

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

0.19Best match rating · 13–8 · mirage, 1 Feb
52%Best headshot accuracy · 1–13 · cache, 8 May
344msFastest reaction time · 10–13 · nuke, 3 Aug
13–1Biggest win · inferno, 4 Aug

Across the last 100 tracked matches.

Highlights

7Longest win streak
98In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 100% over 6mirageWeakest map · 43% over 35
MapGradePlayedRecordWin rateAvg rating
mirageC35152043%0.02
dust2A29171259%0.02
ancientA149564%0.02
infernoS660100%0.06
vertigoA53260%0.02
anubis4040%-0.09
nuke42250%-0.01
train110100%0.12
cache1010%0.02
overpass110100%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (43% over 35). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

9,057Matches
55%Win rate
1.22Avg K/D
86.3ADR
49%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
36Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage60155%1.2517.7
Ancient51959%1.2617.8
Anubis28455%1.2617.1
Dust222253%1.1616.7
Vertigo9357%1.2918.7
Inferno8566%1.2715.7
Overpass6458%1.1017.2
Nuke5754%1.0915.9

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$4,742Inventory value60ItemsFull inventory breakdown →
★ Butterfly Knife | Gamma Doppler (Factory New)$1,808★ StatTrak™ Karambit | Doppler (Factory New)$1,714StatTrak™ USP-S | Kill Confirmed (Field-Tested)$285StatTrak™ M4A1-S | Cyrex (Minimal Wear)$250StatTrak™ Desert Eagle | Ocean Drive (Minimal Wear)$218StatTrak™ MAC-10 | Neon Rider (Minimal Wear)$178

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.1%Headshot accuracy
36.2%Accuracy (enemy spotted)
41.1%Spray accuracy
77.9%Counter-strafing
10.7°Preaim
497msReaction time
26.5%T opening success
50.3%CT opening success
0.73Enemies flashed / flash
10.9%Flash assists
5.26HE damage / grenade
10.53Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 26.4672% — below the 40% mark we flag

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.

43% win rate across 35 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage16–190.0519%12 Aug
mirage13–70.0422%12 Aug
dust213–90.0521%12 Aug
mirage13–50.1127%12 Aug
mirage13–30.0229%12 Aug
anubis1–13-0.1217%5 Aug
dust24–13-0.0524%5 Aug
anubis1–13-0.1217%5 Aug
dust24–13-0.0524%5 Aug
dust213–80.0834%4 Aug
inferno13–10.0619%4 Aug
inferno13–10.0619%4 Aug
dust213–80.0834%4 Aug
ancient16–130.0321%3 Aug
nuke13–100.0415%3 Aug
mirage10–13-0.0613%3 Aug
ancient16–130.0321%3 Aug
nuke13–100.0415%3 Aug
mirage10–13-0.0613%3 Aug
inferno13–100.0423%3 Aug
dust213–70.0522%3 Aug
inferno13–100.0423%3 Aug
dust213–70.0522%3 Aug
mirage11–13-0.026%3 Aug
nuke10–13-0.0521%3 Aug
nuke10–13-0.0521%3 Aug
mirage11–13-0.026%3 Aug
ancient13–70.0514%15 Jul
ancient8–130.0027%9 Jul
mirage8–130.0127%4 Jul
mirage6–130.0216%4 Jul
mirage9–130.0215%4 Jul
mirage9–13-0.0116%4 Jul
ancient13–10-0.0122%4 Jul
mirage9–13-0.0033%18 Jun
inferno13–90.0720%18 Jun
mirage13–110.0329%11 Jun
vertigo16–130.0128%6 Jun
dust213–100.0519%6 Jun
train13–110.1227%5 Jun
mirage13–110.0622%5 Jun
dust213–10-0.0122%5 Jun
dust211–130.0521%5 Jun
vertigo11–13-0.0422%5 Jun
ancient13–110.0717%5 Jun
mirage5–130.0317%4 Jun
dust26–130.0118%29 May
anubis10–13-0.0710%9 May
ancient11–130.0329%9 May
cache1–130.0252%8 May
inferno13–110.0742%8 May
mirage13–90.0028%7 May
mirage4–13-0.0314%6 May
dust211–130.0223%2 May
dust213–7-0.0110%23 Apr
mirage7–13-0.0010%23 Apr
dust29–130.0317%20 Apr
mirage12–16-0.0119%20 Apr
dust213–100.1020%19 Apr
mirage13–20.1525%19 Apr
dust213–10.0532%19 Apr
ancient13–50.1127%19 Apr
mirage6–13-0.0113%17 Apr
vertigo6–13-0.0123%10 Apr
dust213–50.0728%10 Apr
vertigo13–80.0625%10 Apr
mirage16–140.0622%10 Apr
mirage5–13-0.0215%10 Apr
overpass13–4-0.0524%1 Mar
mirage20–22-0.0118%10 Feb
mirage11–130.0616%5 Feb
mirage13–8-0.0511%4 Feb
ancient13–9-0.0821%1 Feb
dust213–10-0.0128%1 Feb
mirage13–80.1926%1 Feb
mirage10–13-0.0418%28 Jan
ancient7–13-0.0633%28 Jan
mirage13–3-0.0117%26 Jan
ancient13–60.080%22 Jan
dust28–13-0.0322%22 Jan
mirage3–13-0.089%22 Jan
dust210–130.0519%21 Jan
anubis3–13-0.0623%21 Jan
dust213–7-0.0024%19 Jan
mirage16–130.0620%18 Jan
ancient5–13-0.0420%18 Jan
mirage13–80.0318%18 Jan
dust213–50.0218%14 Jan
mirage13–30.0522%11 Jan
dust219–160.0624%7 Jan
dust210–13-0.0431%7 Jan
ancient6–130.0220%2 Jan
dust213–110.015%28 Dec
vertigo13–70.0912%25 Dec
mirage19–170.0510%25 Dec
dust213–10.1336%19 Dec
dust29–130.0318%14 Dec
dust28–13-0.0417%26 Nov
ancient13–110.0328%25 Nov
dust27–13-0.0430%25 Nov

Match data via Leetify.

Recent teammates

Milestones

3K ELO Club1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →