ISÄKISSA

ISÄKISSA — CS2 Stats

FI76561197992063622[U:1:31797894]Steam profile ↗✓ No bans

126Tracked matches62%Win rate2021Tracked since
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating8,230Light Blue band · top ~63.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 2026 (18 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.

Rating over time

Premier CS Rating: 8,230 +1,926 28 Sept – 18 Oct · 6 days played
6,3049,053peak 9,05328 Sept18 Oct
9,053Peak Premier in tracked matches
34Days played since 2025-03-12

Premier CS Rating

  • 823 below peak (9,053)
  • Next: Blue band at 10,000 — 1,770 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.

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CSDB.GGISÄKISSAPREMIER8,230 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim67
Positioning54
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateLWTLLLWWWW

Last 10 vs previous 10: −20pp win rate · −0.07 avg rating · −1.5pp headshot accuracy · +79ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 738ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 627ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 587ms

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 (+1.2 against its own average).

Aim6.7
Utility4.6
Positioning5.4
Opening Duels2.6

Strong CT-side openerLimited 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

Twistzz

Plays most like Twistzz 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 572ms 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

Aim6.7
Positioning5.4
Utility4.6
Mechanics5.1
Opening Duels3.8
Win Impact9.0

Composite 5.2/10 (Developing), 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 rating0.01+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time581ms−141ms
first ⅓ avg 721ms → last ⅓ avg 581ms
Headshot accuracy13.7%+0.7%
first ⅓ avg 13.0% → last ⅓ avg 13.7%

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

0.15Best match rating · 13–6 · dust2, 27 Sept →
36%Best headshot accuracy · 5–2 · mirage, 28 Sept →
414msFastest reaction time · 13–4 · anubis, 1 Oct →
13–1Biggest win · mirage, 27 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 100% over 5overpassWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA1911–858%0.00
dust2A159–660%0.00
nukeB147–750%-0.02
infernoA148–657%-0.00
ancientB136–746%-0.03
trainC73–443%-0.02
overpassD71–614%-0.07
anubisS55–0100%-0.01
cache—20–20%0.05
vertigo—21–150%-0.03
rooftop—10–10%-0.12
office—10–10%-0.07

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Overpass 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.

12.9%Headshot accuracy
38.3%Accuracy (enemy spotted)
38.6%Spray accuracy
72.8%Counter-strafing
9.5°Preaim
572msReaction time
40.6%T opening success
49.6%CT opening success
0.61Enemies flashed / flash
3.7%Flash assists
7.77HE damage / grenade
4.18Flashes / 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 12.9353% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Overpass

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
train9–13-0.065%26 Oct →
nuke13–10-0.039%25 Oct →
mirage15–15-0.0616%18 Oct →
overpass1–13-0.1215%18 Oct →
mirage1–9-0.0312%18 Oct →
ancient7–13-0.044%17 Oct →
inferno9–6-0.1120%5 Oct →
anubis13–4-0.038%1 Oct →
nuke13–60.018%1 Oct →
nuke13–9-0.025%30 Sept →
ancient13–6-0.0216%30 Sept →
inferno13–80.018%30 Sept →
cache9–130.0714%30 Sept →
mirage13–70.1314%30 Sept →
dust213–100.0315%30 Sept →
ancient13–7-0.046%30 Sept →
mirage12–90.0311%29 Sept →
nuke0–13-0.0911%29 Sept →
mirage13–110.0110%29 Sept →
inferno12–160.0413%29 Sept →
ancient13–70.0316%28 Sept →
mirage5–2-0.0736%28 Sept →
inferno13–70.0220%28 Sept →
cache7–130.028%28 Sept →
mirage5–130.0021%28 Sept →
nuke6–130.0719%28 Sept →
ancient4–130.0115%28 Sept →
mirage13–80.0617%28 Sept →
mirage13–100.0213%28 Sept →
dust213–80.1313%27 Sept →
dust213–60.1528%27 Sept →
mirage13–16-0.0115%27 Sept →
nuke13–110.0512%27 Sept →
anubis13–50.0710%27 Sept →
mirage13–10.1328%27 Sept →
dust23–13-0.087%27 Sept →
anubis13–110.0717%26 Sept →
ancient13–2-0.0612%26 Sept →
inferno13–11-0.0515%26 Apr →
ancient6–13-0.1217%26 Apr →
ancient13–7-0.025%23 Dec →
dust22–13-0.065%23 Dec →
mirage8–13-0.079%23 Dec →
dust213–7-0.0321%15 Dec →
nuke13–6-0.046%9 Dec →
ancient14–16-0.107%9 Dec →
dust23–13-0.0425%8 Dec →
inferno15–15-0.0335%8 Dec →
nuke6–13-0.037%8 Dec →
train6–13-0.085%7 Dec →
ancient8–13-0.0326%7 Dec →
nuke8–13-0.0721%7 Dec →
nuke11–13-0.0511%3 Dec →
dust29–130.0021%3 Dec →
nuke14–16-0.0515%2 Dec →
overpass7–13-0.0332%1 Dec →
dust213–80.0217%1 Dec →
train13–20.1521%1 Dec →
inferno13–16-0.066%1 Dec →
mirage13–10-0.0120%30 Nov →
dust213–60.0215%5 Nov →
inferno9–50.0617%27 Oct →
rooftop6–9-0.1219%27 Oct →
mirage6–13-0.0425%14 Oct →
dust210–13-0.047%14 Oct →
mirage7–130.0819%14 Oct →
train0–13-0.070%3 Aug →
overpass3–13-0.1218%2 Aug →
overpass13–7-0.0617%2 Aug →
office11–13-0.076%3 Jul →
vertigo12–12-0.0614%3 Jul →
overpass4–13-0.068%3 Jul →
train10–13-0.0316%3 Jul →
inferno11–13-0.0216%3 Jul →
dust213–80.0514%25 Jun →
inferno13–40.096%25 Jun →
nuke16–130.0416%5 Jun →
mirage1–13-0.1011%27 Apr →
mirage8–7-0.0222%22 Mar →
inferno8–13-0.0116%22 Mar →
ancient9–13-0.0417%22 Mar →
dust213–9-0.0317%22 Mar →
overpass8–13-0.0012%16 Mar →
dust213–11-0.053%16 Mar →
inferno9–13-0.0710%16 Mar →
ancient6–130.0713%16 Mar →
anubis13–10-0.094%15 Mar →
ancient13–11-0.0318%15 Mar →
mirage13–10.0513%15 Mar →
train13–8-0.0125%15 Mar →
inferno13–30.0319%15 Mar →
dust212–120.0018%15 Mar →
nuke13–10.0215%15 Mar →
overpass5–13-0.0713%15 Mar →
anubis13–6-0.0513%15 Mar →
train13–7-0.0210%12 Mar →
nuke8–13-0.085%12 Mar →
vertigo13–3-0.0111%12 Mar →
inferno6–00.064%12 Mar →
mirage13–10-0.028%12 Mar →

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 →

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