Taivas

Taivas — CS2 Stats

NG76561198042708465[U:1:82442737]Steam profile ↗✓ No bans

592Tracked matches47%Win rate2020Tracked since
2,491Hours in CS11Hrs last 2 wks
CSDB Rating6.6 SolidAll-Rounder
Premier CS Rating24,341Top 25% of 213,211 CSDB-tracked playersPink band · top ~3.7% of ranked players (population est.)
CSDB Leaderboard#29512 of 259900 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (4 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: 24,341 +2,671 4 Jul – 31 Oct · 15 days played
20,49025,308peak 25,3084 Jul31 Oct
25,523Peak Premier in tracked matches
34Days played since 2026-07-04

Premier CS Rating

  • 967 below peak (25,308)
  • +1,012 over 30 days · improving
  • Next: Red band at 25,000 — 659 to go
  • Reached: Red band · Pink band · Purple band · 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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate48.9%46.9%49.3%meets
Shot accuracy16.2%13.0%13.4%above
Kill/death ratio1.081.081.120.04 short
Match win rate45.4%46.7%48.5%3.1% short

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

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

Share this profile

CSDB.GGTaivasPREMIER24,341 · Pink 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

Aim82
Positioning61
Utility63

0–100 skill scores via Leetify.

Recent form

COLD46–48–6Last 10046%Win rateLLLLWLLLWW

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · −2.6pp headshot accuracy · −1ms reaction

Win rate down 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

  • 1–4 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 481ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 499ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 500ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.2
Utility6.3
Positioning6.1
Opening Duels4.2
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 93% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

CT openings. Opening success drops from 59% on T to 43% on CT — first contacts on the defending side are being lost.

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

Aim8.2
Positioning6.1
Utility6.3
Mechanics6.5
Opening Duels5.2
Win Impact3.9

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time499ms−42ms
first ⅓ avg 541ms → last ⅓ avg 499ms
Headshot accuracy13.1%−2.6%
first ⅓ avg 15.7% → last ⅓ avg 13.1%

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

0.14Best match rating · 13–5 · cache, 16 Oct →
33%Best headshot accuracy · 0–13 · mirage, 21 Jul →
367msFastest reaction time · 6–13 · nuke, 23 Jul →
13–0Biggest win · nuke, 11 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
6–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 67% over 12ancientWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB209–1145%0.00
nukeB157–847%-0.01
anubisB147–750%-0.01
dust2B147–750%-0.00
cacheS128–467%0.01
mirageC104–640%0.00
ancientC83–538%0.01
train—31–233%0.04
overpass—20–20%-0.03
vertigo—10–10%-0.06
office—10–10%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

82,071Lifetime kills
1.08K/D · Top 50% of Pink band
3,366Matches
45.4%Match win rate
48.9%Headshot % · Top 50% of Pink band
16.2%Shot accuracy · Top 25% of Pink band
6,723MVPs
1,740Hours (in match)
2,379Bombs planted
600Bombs defused

Most-used weapons

Lifetime map wins

3,699inferno
3,163dust2
1,757nuke
1,419vertigo
1,352train
640office
545cbble
138lake

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

Faceit stats

Combat

151Matches
60%Win rate
1.39Avg K/D
92.2ADR
42%Headshot %

Clutches & streaks

48%1v1 clutch win
19%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust22471%1.2818.8
Mirage1861%1.3719.2
Inferno1650%1.2415.8
Anubis1369%1.4020.8
Nuke650%1.0618.8
Ancient667%1.4424.0
Cache333%1.2518.0
Train20%1.0817.0

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.

13.1%Headshot accuracy
38.1%Accuracy (enemy spotted)
39.3%Spray accuracy
79.1%Counter-strafing
7.8°Preaim
500msReaction time
59.2%T opening success
42.5%CT opening success
0.67Enemies flashed / flash
6.1%Flash assists
11.65HE damage / grenade
8.19Flashes / 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 13.0821% — below the 15% mark we flag

    Aim Training →
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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache5–13-0.0410%1 Nov →
mirage9–130.0318%31 Oct →
inferno5–13-0.0217%31 Oct →
cache11–13-0.010%31 Oct →
anubis13–100.0126%31 Oct →
cache8–13-0.0215%31 Oct →
inferno11–130.0311%29 Oct →
anubis3–13-0.0613%29 Oct →
cache13–11-0.058%29 Oct →
nuke13–110.0611%22 Oct →
ancient13–10-0.017%22 Oct →
inferno7–130.0523%22 Oct →
cache13–7-0.0514%22 Oct →
nuke13–90.0215%17 Oct →
dust213–70.057%17 Oct →
anubis10–130.0811%17 Oct →
ancient5–10-0.0318%16 Oct →
cache13–50.1421%16 Oct →
inferno6–130.0325%16 Oct →
cache13–60.0816%14 Oct →
cache8–130.016%13 Oct →
mirage13–60.048%13 Oct →
dust28–130.0112%13 Oct →
nuke13–10-0.017%13 Oct →
nuke9–13-0.052%12 Oct →
anubis13–40.038%12 Oct →
cache13–20.0717%12 Oct →
mirage9–130.0419%12 Oct →
anubis10–13-0.0618%11 Oct →
nuke13–00.0817%11 Oct →
anubis13–6-0.043%11 Oct →
inferno13–90.0421%11 Oct →
anubis8–13-0.028%6 Oct →
cache13–50.0418%1 Oct →
nuke13–20.0213%26 Sept →
inferno5–13-0.0916%26 Sept →
anubis8–13-0.0310%22 Sept →
inferno13–60.0411%12 Sept →
inferno13–80.0110%23 Aug →
train13–60.0721%13 Aug →
inferno13–60.028%9 Aug →
ancient12–120.0310%6 Aug →
dust216–12-0.0310%6 Aug →
inferno2–13-0.0123%3 Aug →
nuke13–11-0.0010%27 Jul →
inferno8–13-0.0319%27 Jul →
dust29–13-0.0921%27 Jul →
anubis13–90.0124%25 Jul →
dust213–80.0713%25 Jul →
mirage10–13-0.0821%25 Jul →
nuke6–13-0.115%23 Jul →
dust26–13-0.0124%23 Jul →
ancient5–130.0112%23 Jul →
anubis10–13-0.1010%23 Jul →
nuke13–60.0715%21 Jul →
nuke6–13-0.0117%21 Jul →
mirage0–13-0.0033%21 Jul →
anubis13–40.0312%21 Jul →
nuke6–13-0.036%20 Jul →
inferno7–13-0.0220%20 Jul →
nuke8–13-0.0116%20 Jul →
anubis5–3-0.0633%20 Jul →
mirage13–90.0016%19 Jul →
overpass6–130.0129%19 Jul →
ancient10–130.0410%19 Jul →
train12–120.0329%14 Jul →
inferno8–13-0.0420%12 Jul →
mirage8–130.0214%12 Jul →
ancient13–70.055%11 Jul →
vertigo1–13-0.065%11 Jul →
cache13–60.0418%10 Jul →
inferno13–80.0426%10 Jul →
dust215–15-0.0623%10 Jul →
dust27–13-0.0312%9 Jul →
dust213–70.0523%9 Jul →
mirage13–6-0.0017%9 Jul →
cache13–7-0.0412%9 Jul →
mirage13–11-0.0115%9 Jul →
office12–12-0.0722%9 Jul →
train12–120.035%9 Jul →
nuke5–13-0.0514%6 Jul →
dust27–10.0214%6 Jul →
inferno13–50.0111%6 Jul →
dust213–10-0.0411%6 Jul →
nuke11–13-0.0517%6 Jul →
inferno13–10-0.0728%5 Jul →
inferno11–130.0218%5 Jul →
dust22–13-0.017%5 Jul →
ancient12–160.0111%5 Jul →
overpass4–13-0.085%5 Jul →
anubis9–13-0.0113%4 Jul →
ancient13–9-0.0311%4 Jul →
dust26–13-0.0124%4 Jul →
inferno13–7-0.0114%4 Jul →
anubis13–80.0222%4 Jul →
inferno10–13-0.0521%4 Jul →
nuke8–13-0.049%4 Jul →
dust213–110.0732%4 Jul →
inferno13–10.1321%4 Jul →
mirage12–120.0018%4 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 →

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