Kustavinsalmen Severi

Kustavinsalmen Severi — CS2 Stats

FI76561197963802408[U:1:3536680]Steam profile ↗✓ No bans

492Tracked matches20%Win rate2020Tracked since
CSDB Rating1.9 Learning
Premier CS Rating4,050Grey band · top ~82.8% of ranked players (population est.)
CSDB Leaderboard#45627 of 58954 tracked
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGKustavinsalmen SeveriPREMIER4,050 · Grey bandcsdb.gg/stats

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Performance scores

Aim13
Positioning44
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY30691Last 10030%Win rateWLWLWLWLLL

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating

Player DNA

Aim1.3
Aggression3.8
Utility5.8
Positioning4.4
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 70% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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. 633ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 41% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.3
Positioning4.4
Utility5.8
Mechanics0.0
Opening Duels0.0
Win Impact0.0

Composite 1.9/10 (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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time651ms−30ms
first ⅓ avg 681ms → last ⅓ avg 651ms
Headshot accuracy9.0%+0.5%
first ⅓ avg 8.5% → last ⅓ avg 9.0%

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.

Highlights

0.20Best rating — nuke 13–5
131Biggest win — ancient
3Longest win streak
89In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 50% over 10infernoWeakest map · 19% over 21
MapGradePlayedRecordWin rateAvg rating
ancientD2171433%-0.03
infernoD2141719%-0.02
nukeD2061430%-0.02
mirageB105550%-0.02
overpassD93633%-0.00
anubisB84450%-0.01
dust241325%-0.05
cache3030%-0.07
train3030%-0.04
vertigo1010%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (19% over 21). Start with the 6 essential Inferno 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.

8.5%Headshot accuracy
27.4%Accuracy (enemy spotted)
31.0%Spray accuracy
41.3%Counter-strafing
10.2°Preaim
633msReaction time
29.5%T opening success
27.1%CT opening success
0.59Enemies flashed / flash
3.3%Flash assists
9.12HE damage / grenade
12.20Flashes / 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. Movement Guide

    Under half your shots are taken fully stopped, so the bullets are going where the spread sends them rather than where you aim.

    Counter-strafing 41.3101% — below the 45% mark we flag

    Practice Config
  2. 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 8.4583% — below the 15% mark we flag

    Aim Training
  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 29.545% — below the 40% mark we flag

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.

19% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–40.0313%31 May
ancient11–13-0.050%31 May
anubis13–8-0.013%31 May
ancient8–130.0311%31 May
anubis13–90.018%31 May
dust23–13-0.0613%30 May
inferno16–140.0310%30 May
ancient5–13-0.049%30 May
nuke3–13-0.070%30 May
vertigo3–13-0.0510%23 May
cache11–13-0.0810%23 May
ancient3–13-0.015%23 May
nuke0–13-0.088%23 May
dust29–13-0.1113%22 May
cache1–13-0.0918%22 May
cache6–13-0.054%8 May
overpass10–13-0.038%8 May
ancient1–13-0.1314%8 May
mirage7–13-0.019%8 May
dust213–60.0013%8 May
ancient6–130.014%8 May
nuke8–13-0.026%8 May
nuke13–80.036%8 May
mirage6–13-0.062%8 May
nuke8–13-0.0212%7 May
inferno1–13-0.079%25 Apr
mirage4–13-0.0011%25 Apr
overpass5–13-0.0410%25 Apr
nuke9–13-0.0310%25 Apr
inferno2–13-0.0811%25 Apr
anubis4–13-0.0014%25 Apr
ancient13–100.018%24 Apr
nuke13–7-0.0516%24 Apr
nuke16–140.027%24 Apr
inferno10–13-0.0411%23 Apr
ancient13–7-0.038%22 Apr
inferno13–10-0.0510%17 Apr
ancient13–110.0217%17 Apr
inferno9–13-0.069%17 Apr
ancient3–13-0.1212%17 Apr
anubis13–11-0.1012%17 Apr
inferno8–13-0.104%17 Apr
anubis13–30.035%14 Apr
nuke8–13-0.049%10 Apr
train1–13-0.0917%10 Apr
inferno9–130.015%10 Apr
overpass13–10-0.108%9 Apr
anubis6–130.009%9 Apr
ancient16–14-0.058%28 Mar
anubis13–16-0.0310%23 Mar
inferno2–00.000%23 Mar
inferno13–16-0.0111%2 Mar
nuke13–50.207%2 Mar
ancient12–16-0.0010%1 Mar
inferno13–90.1513%1 Mar
overpass7–130.078%1 Mar
ancient10–30.0513%26 Feb
nuke8–13-0.0515%22 Feb
overpass13–100.039%22 Feb
inferno6–13-0.0621%22 Feb
nuke7–13-0.045%21 Feb
nuke11–130.0118%13 Feb
mirage0–13-0.096%30 Jan
overpass13–60.094%30 Jan
inferno5–13-0.0610%30 Jan
mirage13–80.015%29 Jan
inferno8–13-0.048%29 Jan
mirage16–140.028%29 Jan
overpass8–130.068%29 Jan
nuke11–13-0.016%29 Jan
ancient1–13-0.096%26 Jan
inferno6–13-0.0215%26 Jan
overpass9–13-0.068%26 Jan
nuke11–13-0.040%24 Jan
mirage13–4-0.0313%24 Jan
overpass5–13-0.0713%24 Jan
ancient5–13-0.055%24 Jan
anubis6–130.019%22 Jan
ancient2–13-0.058%22 Jan
nuke6–13-0.017%22 Jan
dust210–13-0.0315%18 Jan
train14–160.018%18 Jan
nuke5–13-0.094%18 Jan
ancient15–15-0.044%18 Jan
inferno10–130.0117%18 Jan
ancient13–10.0418%18 Jan
ancient13–7-0.027%18 Jan
nuke13–10.0510%18 Jan
inferno12–160.033%17 Jan
nuke5–13-0.065%17 Jan
ancient5–13-0.0512%17 Jan
inferno6–13-0.025%17 Jan
inferno10–130.009%17 Jan
ancient11–13-0.054%6 Jan
inferno3–13-0.075%6 Jan
nuke13–11-0.067%6 Jan
train14–16-0.0510%6 Jan
mirage7–13-0.0715%5 Jan
inferno11–13-0.0310%5 Jan
mirage13–9-0.018%5 Jan

Match data via Leetify.

Recent teammates

Milestones

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