Kustavinsalmen Severi

Kustavinsalmen Severi — CS2 Stats

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

510Tracked matches37%Win rate2020Tracked since
CSDB Rating3.2 LearningPositional Player
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (67 days ago). Ranks are recorded once per day this page is viewed.

+18Tracked matches · now 510
+16.7ppWin rate · 20.0% → 36.7%

Rating over time

Premier CS Rating: 4,050 -152 18 Jan – 31 Aug · 21 days played
3,6135,110peak 5,11018 Jan31 Aug
5,230Peak Premier in tracked matches
31Days played since 2026-01-18

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

Performance scores

Aim24
Positioning63
Utility60

0–100 skill scores via Leetify.

Recent form

COLD32–68Last 10032%Win rateLLLLLLLWWW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +0.2pp headshot accuracy · +29ms reaction

Win rate down 20pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 539ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 570ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 555ms

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 (+1.4 against its own average).

Aim2.4
Utility6.0
Positioning6.3
Opening Duels2.5

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.

Strengths & areas to improve

Areas to improve

Reaction time. 577ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 47% 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

Aim2.4
Positioning6.3
Utility6.0
Mechanics0.0
Opening Duels2.1
Win Impact0.6

Composite 3.2/10 (Learning), 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-0.03−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.03
Reaction time588ms−78ms
first ⅓ avg 666ms → last ⅓ avg 588ms
Headshot accuracy10.4%+1.2%
first ⅓ avg 9.2% → last ⅓ avg 10.4%

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

0.20Best match rating · 13–5 · nuke, 2 Mar →
21%Best headshot accuracy · 6–13 · inferno, 22 Feb →
406msFastest reaction time · 8–13 · inferno, 4 Sept →
13–3Biggest win · anubis, 14 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L7Current streak
7–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 50% over 12dust2Weakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
ancientD227–1532%-0.03
nukeD206–1430%-0.01
infernoD185–1328%-0.03
anubisB126–650%0.00
overpassD93–633%-0.00
mirageB84–450%-0.02
dust2D51–420%-0.05
cache—30–30%-0.07
train—20–20%-0.04
vertigo—10–10%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 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.

10.1%Headshot accuracy
31.3%Accuracy (enemy spotted)
33.6%Spray accuracy
47.2%Counter-strafing
11.0°Preaim
577msReaction time
36.3%T opening success
40.8%CT opening success
0.49Enemies flashed / flash
6.1%Flash assists
9.79HE damage / grenade
13.94Flashes / 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 10.1326% — 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 0.4896 — 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 36.3416% — below the 40% mark we flag

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.

20% win rate across 5 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
dust211–13-0.0411%1 Nov →
ancient6–13-0.034%1 Nov →
ancient4–130.0316%1 Nov →
anubis12–16-0.019%12 Sept →
inferno8–13-0.1017%12 Sept →
ancient10–13-0.0814%12 Sept →
nuke10–13-0.0511%12 Sept →
anubis13–70.015%12 Sept →
nuke16–130.0514%12 Sept →
ancient13–10-0.0112%12 Sept →
anubis13–70.118%12 Sept →
nuke13–7-0.0214%12 Sept →
ancient4–13-0.0717%4 Sept →
nuke5–13-0.0613%4 Sept →
ancient13–70.0214%4 Sept →
inferno8–13-0.073%4 Sept →
anubis6–13-0.0114%4 Sept →
inferno13–10-0.0415%4 Sept →
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 →

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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