Rakkain SyysAnkka

Rakkain SyysAnkka — CS2 Stats

FI76561199000585387[U:1:1040319659]Steam profile ↗✓ No bans

906Tracked matches43%Win rate2024Tracked since
898Hours in CS21Hrs last 2 wks
CSDB Rating4.0 DevelopingPositional Player
Premier CS Rating12,264Blue band · top ~42.9% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (yesterday). 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: 12,264 -1,757 30 Jul – 3 Nov · 22 days played
10,96314,021peak 14,02130 Jul3 Nov
14,878Peak Premier in tracked matches
29Days played since 2026-07-28

Premier CS Rating

  • 1,757 below peak (14,021)
  • +454 over 30 days · improving
  • -1,244 over 90 days
  • Next: Purple band at 15,000 — 2,736 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-20
  • Light Blue band first seen 2026-09-20

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

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate51.0%42.0%44.4%above
Shot accuracy2.2%9.6%11.9%9.7% short
Kill/death ratio0.960.981.030.07 short
Match win rate50.7%43.8%45.2%above

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRakkain SyysAnkkaPREMIER12,264 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim42
Positioning48
Utility42

0–100 skill scores via Leetify.

Recent form

COLD47–46–7Last 10047%Win rateLWWLWLLLLL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +0.0pp headshot accuracy · −57ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 625ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 21%
  • Avg reaction 616ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 645ms

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 (+0.9 against its own average).

Aim4.2
Utility4.2
Positioning4.8
Opening Duels2.4
Clutch4.0

Strong CT-side opener

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

m0NESY

Plays most like m0NESY 74% 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. 611ms 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

Aim4.2
Positioning4.8
Utility4.2
Mechanics4.5
Opening Duels4.4
Win Impact2.8

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time628ms−21ms
first ⅓ avg 649ms → last ⅓ avg 628ms
Headshot accuracy19.5%+0.6%
first ⅓ avg 18.9% → last ⅓ avg 19.5%

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

0.23Best match rating · 9–1 · debris, 30 Jul →
46%Best headshot accuracy · 13–5 · office, 30 Sept →
453msFastest reaction time · 7–13 · dust2, 16 Oct →
13–1Biggest win · overpass, 30 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
8–10In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 73% over 11vertigoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageD186–1233%-0.01
nukeS1712–571%-0.01
cacheS118–373%-0.01
ancientB105–550%-0.02
dust2D92–722%-0.04
anubisB84–450%-0.02
infernoD72–529%-0.02
vertigoD71–614%-0.01
debris—43–175%0.13
train—21–150%0.01
poseidon—10–10%-0.10
rush_001—10–10%-0.12
boulder—10–10%0.07
office—11–0100%0.05
italy—11–0100%0.04
fachwerk—10–10%-0.05
overpass—11–0100%-0.03

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,986Lifetime kills
0.96K/D
1,543Matches
50.7%Match win rate · Top 10% of Blue band
51.0%Headshot % · Top 25% of Blue band
2.2%Shot accuracy
4,225MVPs
479Hours (in match)
1,247Bombs planted
477Bombs defused

Most-used weapons

Lifetime map wins

3,278nuke
1,250dust2
1,094vertigo
1,044inferno
452office
169train
134italy
27lake

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

Faceit stats

Combat

80Matches
49%Win rate
0.91Avg K/D
67.3ADR
53%Headshot %

Clutches & streaks

40%1v1 clutch win
31%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2348%0.9012.0
Nuke1443%1.0713.1
Ancient1338%0.8412.2
Dust21173%0.8711.2
Anubis850%0.8412.4
Cache5100%1.0614.8
Inferno30%0.7512.3
Vertigo20%0.8013.5

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.

19.3%Headshot accuracy
27.5%Accuracy (enemy spotted)
30.7%Spray accuracy
70.1%Counter-strafing
10.8°Preaim
611msReaction time
46.1%T opening success
49.2%CT opening success
0.48Enemies flashed / flash
3.0%Flash assists
6.85HE damage / grenade
10.04Flashes / 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. 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 0.4756 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Vertigo

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.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0818%3 Nov →
cache13–9-0.0116%3 Nov →
nuke13–11-0.0217%2 Nov →
inferno7–130.0125%2 Nov →
mirage13–100.0633%1 Nov →
mirage9–130.0122%28 Oct →
cache8–130.0024%28 Oct →
poseidon4–9-0.109%28 Oct →
nuke1–9-0.1814%28 Oct →
rush_0015–8-0.1227%28 Oct →
debris8–80.0222%28 Oct →
mirage9–13-0.0221%28 Oct →
nuke9–7-0.0532%28 Oct →
nuke8–8-0.0921%28 Oct →
vertigo4–9-0.0531%28 Oct →
debris9–30.1424%28 Oct →
cache13–60.0118%26 Oct →
mirage4–13-0.049%26 Oct →
inferno8–13-0.0423%26 Oct →
cache4–10-0.073%25 Oct →
dust214–16-0.0114%25 Oct →
nuke13–90.0118%25 Oct →
inferno11–13-0.0421%22 Oct →
cache13–70.0414%22 Oct →
cache13–6-0.0324%21 Oct →
ancient13–11-0.0627%21 Oct →
cache11–13-0.0317%21 Oct →
nuke10–130.0216%16 Oct →
dust27–13-0.0711%16 Oct →
dust26–13-0.0628%15 Oct →
ancient8–13-0.0716%15 Oct →
dust213–4-0.0511%15 Oct →
ancient6–13-0.0615%13 Oct →
nuke13–80.0122%13 Oct →
mirage13–20.0219%13 Oct →
mirage13–70.0420%13 Oct →
vertigo6–13-0.0713%12 Oct →
nuke13–90.0234%12 Oct →
inferno13–6-0.0018%12 Oct →
inferno2–13-0.0514%12 Oct →
nuke13–100.008%12 Oct →
ancient13–70.0527%11 Oct →
ancient11–13-0.0233%11 Oct →
mirage15–15-0.0114%11 Oct →
debris9–30.1233%11 Oct →
anubis13–100.0418%11 Oct →
dust23–90.0119%11 Oct →
vertigo5–9-0.0932%10 Oct →
mirage10–40.0017%8 Oct →
boulder10–130.0719%4 Oct →
ancient5–00.0033%4 Oct →
dust211–20.0115%4 Oct →
inferno13–80.0218%4 Oct →
anubis12–12-0.0313%4 Oct →
vertigo13–50.0029%4 Oct →
office13–50.0546%30 Sept →
italy13–70.049%30 Sept →
fachwerk11–13-0.0516%30 Sept →
nuke13–9-0.0721%30 Sept →
overpass13–1-0.0321%30 Sept →
nuke9–40.0939%24 Sept →
vertigo5–90.1723%24 Sept →
inferno7–13-0.0324%21 Sept →
mirage13–11-0.0121%21 Sept →
ancient8–130.0416%21 Sept →
nuke16–13-0.0417%20 Sept →
nuke13–70.0117%20 Sept →
mirage6–13-0.0319%20 Sept →
cache13–11-0.0315%20 Sept →
cache13–60.038%19 Sept →
anubis13–40.0823%14 Sept →
mirage8–13-0.0319%14 Sept →
nuke11–13-0.0016%14 Sept →
ancient16–13-0.0419%13 Sept →
nuke13–110.0118%13 Sept →
vertigo9–13-0.0426%13 Sept →
ancient13–9-0.0228%13 Sept →
anubis4–13-0.0825%12 Sept →
anubis16–13-0.0421%5 Sept →
mirage11–13-0.0315%5 Sept →
mirage8–13-0.0130%5 Sept →
ancient15–150.0129%23 Aug →
vertigo8–80.0334%23 Aug →
mirage6–13-0.0311%23 Aug →
mirage8–13-0.0926%23 Aug →
dust211–13-0.0518%23 Aug →
mirage13–9-0.0326%9 Aug →
nuke11–13-0.1017%9 Aug →
dust215–15-0.0218%9 Aug →
mirage9–130.0828%9 Aug →
debris9–10.2314%30 Jul →
cache13–11-0.0210%30 Jul →
anubis9–13-0.072%30 Jul →
train13–110.0620%30 Jul →
train3–13-0.0512%30 Jul →
anubis11–13-0.0313%30 Jul →
mirage4–13-0.0323%30 Jul →
anubis13–80.0022%30 Jul →
nuke13–70.1210%28 Jul →
cache13–70.018%28 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.