somaleisson

somaleisson — CS2 Stats

FI76561198176903513[U:1:216637785]Steam profile ↗✓ No bans

730Tracked matches34%Win rate2020Tracked since
3,144Hours in CS3Hrs last 2 wks
CSDB Rating5.4 DevelopingSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

+4Tracked matches · now 730
−2.2ppWin rate · 36.7% → 34.5%

Rating over time

Premier CS Rating: 22,994 +2,594 30 Nov – 25 Dec · 5 days played
20,40025,557peak 25,55730 Nov25 Dec
25,557Peak Premier in tracked matches
53Days played since 2024-11-30

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches12——
Win rate8%——
K/D1.00——
Headshot %44%——

Measured 14 Sep 2026 → 12 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim61
Positioning63
Utility64

0–100 skill scores via Leetify.

Recent form

COLD45–53–2Last 10045%Win rateLTLLLLLLLW

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · −3.7pp headshot accuracy · −74ms 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 594ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 552ms

Last 20

  • 5–14–1 · 25% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 589ms

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 (+1 against its own average).

Aim6.1
Utility6.4
Positioning6.3
Opening Duels4.4
Clutch4.4

Effective 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

jL

Plays most like jL 76% 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. 601ms 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

Aim6.1
Positioning6.3
Utility6.4
Mechanics6.8
Opening Duels3.6
Win Impact0.0

Composite 5.4/10 (Developing), 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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time620ms−5ms
first ⅓ avg 625ms → last ⅓ avg 620ms
Headshot accuracy14.0%+1.4%
first ⅓ avg 12.6% → last ⅓ avg 14.0%

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 · 13–7 · inferno, 11 Nov →
31%Best headshot accuracy · 0–8 · dust2, 18 Feb →
367msFastest reaction time · 11–13 · ancient, 30 Aug →
13–1Biggest win · dust2, 3 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 53% over 15ancientWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
dust2C4218–2443%0.02
ancientD164–1225%-0.01
infernoB158–753%0.05
anubisB126–650%0.02
mirageB63–350%-0.01
train—43–175%0.00
overpass—31–233%0.05
nuke—22–0100%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

101,849Lifetime kills
1.28K/D · Top 25% of tracked players
4,220Matches
52.3%Match win rate · Top 10% of tracked players
36.1%Headshot %
15.4%Shot accuracy · Top 25% of tracked players
12,501MVPs
1,961Hours (in match)
7,938Bombs planted
1,489Bombs defused

Most-used weapons

AK-4738,721
AWP5,065
P2503,846
P902,235
MAC-102,131

Lifetime map wins

21,066dust2
8,841inferno
2,814train
1,770cbble
1,560nuke
131vertigo
33aztec
32office

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

Faceit stats

Combat

290Matches
53%Win rate
1.40Avg K/D
92.7ADR
35%Headshot %

Clutches & streaks

42%1v1 clutch win
26%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust25358%1.4719.4
Inferno4062%1.7720.1
Anubis3746%1.3818.9
Ancient3238%1.2517.1
Mirage1040%1.2418.5
Overpass825%1.1416.6
Train743%1.1718.7
Nuke617%1.1817.2

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.

14.1%Headshot accuracy
32.9%Accuracy (enemy spotted)
34.5%Spray accuracy
80.7%Counter-strafing
9.2°Preaim
601msReaction time
38.8%T opening success
50.3%CT opening success
0.72Enemies flashed / flash
12.7%Flash assists
11.44HE damage / grenade
8.78Flashes / 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 14.1319% — below the 15% mark we flag

    Aim Training →
  2. 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 38.8488% — below the 40% mark we flag

Spend your practice time on Ancient

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

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient6–13-0.097%4 Oct →
ancient15–150.0221%27 Sept →
anubis9–13-0.0116%20 Sept →
ancient8–130.0313%20 Sept →
dust26–13-0.0111%13 Sept →
ancient3–13-0.040%3 Sept →
dust29–13-0.0115%3 Sept →
ancient11–13-0.069%30 Aug →
dust215–190.0718%30 Aug →
dust213–70.0423%23 Aug →
dust211–130.0113%18 Aug →
anubis8–30.0915%17 Aug →
ancient13–11-0.0112%17 Aug →
dust28–13-0.0213%17 Aug →
dust29–130.0125%18 Feb →
dust20–80.0231%18 Feb →
nuke13–110.1022%18 Feb →
dust27–13-0.005%8 Feb →
dust29–13-0.0219%8 Feb →
inferno13–80.0114%31 Jan →
anubis13–9-0.0014%31 Jan →
dust213–100.0715%25 Dec →
dust213–20.026%25 Dec →
mirage6–130.0211%25 Dec →
inferno6–130.0212%25 Dec →
ancient1–13-0.048%25 Dec →
nuke13–60.0112%6 Dec →
dust213–7-0.0011%6 Dec →
overpass9–130.0224%6 Dec →
ancient3–13-0.063%6 Dec →
train13–100.0117%30 Nov →
mirage8–13-0.0515%30 Nov →
ancient4–13-0.0013%12 Nov →
dust213–90.0021%12 Nov →
inferno13–70.1720%11 Nov →
ancient7–13-0.0511%10 Nov →
inferno8–130.089%8 Nov →
dust26–13-0.0110%8 Nov →
train13–40.069%4 Nov →
dust26–13-0.0611%4 Nov →
dust213–3-0.0213%26 Oct →
mirage13–8-0.015%26 Oct →
dust213–160.019%26 Oct →
inferno11–130.0715%17 Oct →
overpass8–130.0216%17 Oct →
dust216–190.0611%12 Oct →
dust25–130.0225%21 Sept →
dust213–110.0019%20 Sept →
dust213–90.0519%19 Sept →
dust213–10.1023%3 Aug →
anubis2–90.007%3 Aug →
inferno15–15-0.028%3 May →
dust210–13-0.016%3 May →
anubis12–16-0.0013%30 Apr →
dust23–13-0.0116%20 Apr →
inferno13–110.0213%20 Apr →
inferno9–130.1414%17 Apr →
dust213–110.0413%17 Apr →
mirage13–90.015%14 Apr →
inferno13–110.029%13 Apr →
dust25–130.0416%4 Apr →
overpass13–90.1112%4 Apr →
anubis12–160.0614%4 Apr →
dust213–100.0311%27 Mar →
inferno13–70.0715%26 Mar →
anubis13–100.019%25 Mar →
inferno10–130.0613%25 Mar →
dust26–13-0.0213%25 Mar →
ancient8–13-0.0013%25 Mar →
ancient13–6-0.0414%23 Mar →
inferno16–140.0414%23 Mar →
mirage13–70.0212%23 Mar →
anubis13–50.0710%23 Mar →
anubis11–13-0.0415%22 Mar →
mirage6–13-0.0311%16 Mar →
inferno16–13-0.017%16 Mar →
ancient13–100.1013%14 Mar →
anubis7–130.0113%5 Mar →
inferno11–130.0217%5 Mar →
dust213–50.0510%26 Feb →
ancient3–120.0411%21 Feb →
dust25–130.0810%21 Feb →
dust213–70.129%21 Feb →
dust213–10-0.049%16 Feb →
dust211–130.0012%13 Feb →
anubis13–100.027%9 Feb →
inferno13–90.0912%8 Feb →
train13–5-0.0511%8 Feb →
ancient9–130.0114%23 Jan →
dust29–130.0314%22 Jan →
train10–13-0.0112%1 Jan →
dust23–13-0.0617%1 Jan →
dust213–40.0117%1 Jan →
dust213–110.0518%1 Jan →
dust23–70.0821%1 Jan →
anubis13–80.098%31 Dec →
dust213–10-0.0113%30 Nov →
dust28–13-0.0111%30 Nov →
dust213–5-0.0014%30 Nov →
ancient16–140.0113%30 Nov →

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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