Siivooja

Siivooja — CS2 Stats

76561199032070772[U:1:1071805044]Steam profile ↗✓ No bans

1,159Tracked matches47%Win rate2020Tracked since
2,001Hours in CS25Hrs last 2 wks
CSDB Rating4.1 DevelopingSupport
Premier CS Rating5,366Light Blue band · top ~77.1% of ranked players (population est.)
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (3 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: 5,366 -1,294 26 May – 10 Oct · 12 days played
4,5667,624peak 7,62426 May10 Oct
7,624Peak Premier in tracked matches
45Days played since 2026-05-13

Premier CS Rating

  • 2,258 below peak (7,624)
  • +367 over 30 days · steady
  • Next: Blue band at 10,000 — 4,634 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.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate42.2%39.9%42.0%meets
Shot accuracy15.1%7.0%9.6%above
Kill/death ratio1.050.920.98above
Match win rate32.8%42.3%43.8%11.0% short

This profile matches the typical Blue band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGSiivoojaPREMIER5,366 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim56
Positioning43
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY42–54–4Last 10042%Win rateLLWWLWWLWW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating · +1.7pp headshot accuracy · +33ms reaction

Win rate up 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 597ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 601ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 584ms

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 (+2.1 against its own average).

Aim5.6
Utility6.3
Positioning4.3
Opening Duels0.7
Clutch5.6

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 78% 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. 605ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim5.6
Positioning4.3
Utility6.3
Mechanics4.1
Opening Duels0.2
Win Impact3.9

Composite 4.1/10 (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 rating-0.02−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time597ms−79ms
first ⅓ avg 676ms → last ⅓ avg 597ms
Headshot accuracy16.5%+0.2%
first ⅓ avg 16.3% → last ⅓ avg 16.5%

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

0.21Best match rating · 13–8 · anubis, 5 Aug →
29%Best headshot accuracy · 13–8 · cache, 9 Jul →
453msFastest reaction time · 13–9 · anubis, 13 Sept →
13–0Biggest win · mirage, 12 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
7–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 78% over 9ancientWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
dust2D186–1233%-0.01
infernoB179–853%-0.01
anubisA159–660%-0.01
mirageD102–820%0.00
ancientD101–910%-0.04
cacheS97–278%-0.01
trainD72–529%0.00
officeD62–433%-0.00
nuke—41–325%-0.01
vertigo—22–0100%0.03
overpass—21–150%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

89,735Lifetime kills
1.05K/D · Top 25% of Light Blue band
6,690Matches
32.8%Match win rate
42.2%Headshot % · Top 50% of Light Blue band
15.1%Shot accuracy · Top 25% of Light Blue band
6,433MVPs
1,189Hours (in match)
2,234Bombs planted
810Bombs defused

Most-used weapons

AK-4719,202
AWP4,552
FAMAS3,968
P902,972
MP72,660

Lifetime map wins

6,129inferno
3,483nuke
3,173dust2
1,954vertigo
1,139train
634lake
627safehouse
499office

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

Faceit stats

Combat

90Matches
34%Win rate
0.81Avg K/D
67.8ADR
40%Headshot %

Clutches & streaks

48%1v1 clutch win
19%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient1724%0.8413.0
Dust21638%0.8012.2
Mirage1443%0.9211.7
Nuke1331%0.7211.6
Anubis1136%0.7810.9
Inferno743%0.8211.4
Vertigo333%0.9615.7
Cache250%0.8013.0

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.

16.6%Headshot accuracy
34.6%Accuracy (enemy spotted)
40.3%Spray accuracy
68.5%Counter-strafing
11.2°Preaim
605msReaction time
29.1%T opening success
31.6%CT opening success
0.65Enemies flashed / flash
4.8%Flash assists
11.31HE damage / grenade
8.43Flashes / 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. 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 29.112% — 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.

10% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–130.0122%12 Oct →
dust24–13-0.0711%12 Oct →
dust213–6-0.069%12 Oct →
anubis13–9-0.0417%10 Oct →
mirage11–13-0.028%7 Oct →
dust213–90.0312%4 Oct →
inferno13–6-0.0224%4 Oct →
dust29–130.0028%13 Sept →
anubis13–9-0.0212%13 Sept →
mirage13–00.0421%12 Sept →
inferno6–130.0122%12 Sept →
inferno13–4-0.0213%12 Sept →
dust211–13-0.0915%9 Sept →
dust25–13-0.0223%9 Sept →
dust213–110.0711%6 Sept →
nuke4–13-0.0712%6 Sept →
anubis10–13-0.0315%5 Sept →
office10–13-0.0210%5 Sept →
nuke13–60.0620%5 Sept →
office6–13-0.086%4 Sept →
cache13–11-0.0525%30 Aug →
anubis13–3-0.0417%30 Aug →
ancient11–13-0.0427%30 Aug →
inferno9–13-0.0626%29 Aug →
ancient9–13-0.0713%28 Aug →
cache16–140.0213%28 Aug →
ancient5–13-0.0417%27 Aug →
inferno13–4-0.0416%27 Aug →
dust213–40.0121%26 Aug →
dust26–13-0.0113%25 Aug →
ancient1–13-0.087%25 Aug →
dust28–13-0.0020%24 Aug →
ancient3–13-0.0318%24 Aug →
mirage13–8-0.0417%24 Aug →
mirage7–13-0.0114%23 Aug →
anubis6–13-0.0315%23 Aug →
mirage7–130.0116%23 Aug →
inferno13–60.0613%23 Aug →
train4–13-0.0314%17 Aug →
inferno9–70.0316%17 Aug →
train12–120.0114%13 Aug →
train4–13-0.0324%12 Aug →
anubis13–80.2123%5 Aug →
cache13–10-0.0411%2 Aug →
dust211–13-0.0211%2 Aug →
ancient13–50.0817%1 Aug →
mirage14–160.0315%1 Aug →
inferno10–13-0.0412%1 Aug →
cache13–60.0220%1 Aug →
inferno8–13-0.0515%1 Aug →
mirage11–130.0121%1 Aug →
ancient9–13-0.0425%1 Aug →
dust23–13-0.0414%1 Aug →
dust27–60.1314%1 Aug →
anubis4–13-0.037%1 Aug →
nuke6–130.0114%1 Aug →
train13–70.1619%31 Jul →
train0–8-0.0623%31 Jul →
anubis11–13-0.007%31 Jul →
cache13–7-0.1011%31 Jul →
inferno5–13-0.047%31 Jul →
dust212–12-0.0218%31 Jul →
vertigo13–90.1017%30 Jul →
vertigo13–5-0.0410%30 Jul →
ancient12–12-0.0615%30 Jul →
dust26–130.0817%30 Jul →
inferno13–90.137%30 Jul →
inferno13–9-0.026%30 Jul →
anubis13–3-0.0414%30 Jul →
cache13–110.0619%30 Jul →
cache6–13-0.0212%22 Jul →
mirage7–13-0.0025%22 Jul →
cache13–80.0629%9 Jul →
office1–13-0.0018%8 Jul →
nuke6–13-0.0312%3 Jul →
inferno9–6-0.0227%25 Jun →
inferno6–9-0.1117%25 Jun →
cache7–13-0.0220%24 Jun →
dust213–5-0.088%22 Jun →
inferno8–13-0.039%22 Jun →
anubis9–13-0.0318%21 Jun →
ancient6–13-0.0214%21 Jun →
anubis13–5-0.0316%20 Jun →
inferno13–7-0.018%20 Jun →
overpass10–13-0.0023%20 Jun →
train13–10-0.0113%20 Jun →
train9–13-0.0322%18 Jun →
anubis14–16-0.0725%14 Jun →
ancient9–13-0.0512%14 Jun →
anubis13–9-0.0416%30 May →
overpass16–140.0111%30 May →
anubis13–00.0022%29 May →
anubis13–6-0.0412%26 May →
dust28–130.0217%26 May →
mirage2–13-0.0413%26 May →
mirage15–150.0414%25 May →
office13–8-0.0320%16 May →
office8–130.0112%15 May →
office13–70.1014%14 May →
dust211–13-0.0720%13 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 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.