Smeknamn Svensson

Smeknamn Svensson — CS2 Stats

76561198311014871[U:1:350749143]Steam profile ↗✓ No bans

1,472Tracked matches33%Win rate2020Tracked since
CSDB Rating2.7 LearningPositional Player
Premier CS Rating7,524Light Blue band · top ~66.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (4 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.

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. 47 days played since 21 Oct 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 7,524 +1,087 28 Oct20 Sept · 12 days played
4,4199,292peak 9,29228 Oct20 Sept
9,406Peak Premier in tracked matches
47Days played since 2025-10-21

Premier CS Rating

  • 1,768 below peak (9,292)
  • -1,225 over 90 days
  • Next: Blue band at 10,000 2,476 to go
  • Reached: Light Blue band

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

Share this profile

CSDB.GGSmeknamn SvenssonPREMIER7,524 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim44
Positioning35
Utility13

0–100 skill scores via Leetify.

Recent form

COLD4060Last 10040%Win rateWLLLLLWLLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +1.2pp headshot accuracy · +47ms 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

  • 14 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 16%
  • Avg reaction 717ms

Last 10

  • 28 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 14%
  • Avg reaction 640ms

Last 20

  • 515 · 25% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 14%
  • Avg reaction 616ms

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 PlayerPositioning stands above the rest of this profile (+1.6 against its own average).

Aim4.4
Utility1.3
Positioning3.5
Opening Duels0.8

Limited utility dependence

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

iM

Plays most like iM 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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.

Reaction time. 629ms 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

Aim4.4
Positioning3.5
Utility1.3
Mechanics5.0
Opening Duels0.1
Win Impact0.0

Composite 2.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.06−0.01
first ⅓ avg -0.05 → last ⅓ avg -0.06
Reaction time639ms−90ms
first ⅓ avg 729ms → last ⅓ avg 639ms
Headshot accuracy14.1%+0.2%
first ⅓ avg 13.9% → last ⅓ avg 14.1%

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

0.10Best match rating · 13–4 · inferno, 17 May
37%Best headshot accuracy · 13–11 · ancient, 5 Jul
438msFastest reaction time · 2–13 · inferno, 13 Sept
13–2Biggest win · overpass, 16 Nov

Across the last 100 tracked matches.

Highlights

3Longest win streak
88In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 60% over 5anubisWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
ancientD1951426%-0.06
nukeD1861233%-0.04
infernoA169756%-0.04
anubisD7070%-0.07
mirageD72529%-0.06
overpassC73443%-0.05
cacheB63350%-0.07
dust2A53260%-0.04
cache_bC52340%-0.04
train220100%-0.07
warden2020%-0.06
stronghold220100%-0.07
golden21150%-0.07
boulder110100%-0.02
fachwerk110100%-0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

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

14.2%Headshot accuracy
30.1%Accuracy (enemy spotted)
31.2%Spray accuracy
72.6%Counter-strafing
9.7°Preaim
629msReaction time
22.3%T opening success
30.5%CT opening success
0.13Enemies flashed / flash
0.0%Flash assists
6.64HE damage / grenade
0.38Flashes / 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 14.1903% — below the 15% mark we flag

    Aim Training
  2. 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 0.1272 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 22.2683% — below the 40% mark we flag

Spend your practice time on Anubis

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

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–3-0.0318%20 Sept
anubis2–13-0.0911%20 Sept
nuke9–13-0.0720%20 Sept
dust212–16-0.0716%17 Sept
ancient9–13-0.0817%17 Sept
inferno2–13-0.0412%13 Sept
dust213–9-0.0217%13 Sept
cache9–13-0.1215%13 Sept
ancient7–13-0.0712%7 Sept
nuke11–13-0.037%7 Sept
cache16–14-0.059%3 Sept
inferno14–16-0.0317%27 Aug
ancient9–13-0.0720%27 Aug
ancient10–13-0.1010%26 Aug
nuke7–13-0.0217%26 Aug
mirage9–13-0.0112%20 Aug
anubis9–13-0.0513%20 Aug
ancient9–13-0.072%20 Aug
cache16–13-0.0614%16 Aug
ancient7–0-0.0420%16 Aug
inferno13–9-0.0428%16 Aug
anubis6–13-0.0614%12 Aug
ancient10–13-0.0410%12 Aug
nuke13–10-0.0512%9 Aug
inferno13–100.0112%9 Aug
mirage13–6-0.1113%9 Aug
inferno4–13-0.084%8 Aug
nuke13–8-0.0517%4 Aug
anubis6–13-0.0723%4 Aug
inferno10–13-0.0218%2 Aug
anubis14–16-0.1014%2 Aug
mirage6–13-0.1020%2 Aug
ancient4–13-0.055%2 Aug
inferno16–14-0.0414%12 Jul
boulder13–9-0.0222%12 Jul
fachwerk13–5-0.085%12 Jul
mirage3–13-0.1013%5 Jul
ancient13–11-0.0937%5 Jul
inferno13–11-0.0529%24 Jun
anubis9–13-0.0812%24 Jun
nuke13–50.009%23 Jun
mirage14–16-0.0511%17 Jun
nuke13–16-0.0717%15 Jun
overpass13–6-0.048%15 Jun
overpass10–13-0.0712%27 May
ancient9–13-0.117%17 May
inferno13–40.1015%17 May
nuke2–13-0.094%7 May
cache5–13-0.0722%7 May
cache5–13-0.0722%7 May
nuke8–13-0.0316%12 Apr
nuke5–13-0.087%22 Mar
overpass8–13-0.0913%22 Mar
overpass13–8-0.0216%4 Mar
dust213–6-0.0522%1 Mar
ancient13–4-0.020%1 Mar
inferno7–13-0.0415%1 Mar
ancient13–5-0.0414%25 Feb
overpass9–13-0.0516%25 Feb
train13–4-0.068%25 Feb
dust213–16-0.0022%19 Feb
anubis11–13-0.0612%19 Feb
warden6–13-0.0323%8 Feb
stronghold13–6-0.070%8 Feb
inferno13–8-0.0217%5 Feb
ancient3–13-0.0619%5 Feb
ancient13–11-0.055%1 Feb
nuke13–11-0.0629%1 Feb
stronghold13–11-0.0622%25 Jan
warden6–13-0.096%25 Jan
nuke13–80.0312%15 Jan
inferno13–8-0.048%15 Jan
ancient9–13-0.049%13 Jan
inferno2–13-0.1010%13 Jan
dust213–8-0.0417%11 Jan
ancient7–13-0.113%11 Jan
nuke13–30.0324%11 Jan
nuke11–13-0.093%1 Dec
nuke8–130.0117%23 Nov
cache_b9–13-0.0211%23 Nov
mirage5–130.0020%21 Nov
cache_b13–8-0.0421%21 Nov
cache_b13–4-0.058%20 Nov
nuke11–13-0.0413%20 Nov
mirage13–5-0.0414%19 Nov
cache_b6–13-0.0824%19 Nov
nuke13–16-0.0524%16 Nov
overpass13–20.037%16 Nov
cache_b9–13-0.037%16 Nov
inferno13–8-0.0320%9 Nov
nuke3–13-0.0810%9 Nov
ancient8–13-0.016%9 Nov
inferno2–13-0.1213%29 Oct
ancient6–13-0.0621%29 Oct
overpass4–13-0.104%29 Oct
inferno13–11-0.078%28 Oct
train13–10-0.0918%28 Oct
ancient7–13-0.0612%28 Oct
golden13–4-0.0530%23 Oct
golden11–13-0.098%21 Oct

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 →