kivatyyppi

kivatyyppi — CS2 Stats

FI76561198957309509[U:1:997043781]Steam profile ↗✓ No bans

3,440Tracked matches67%Win rate2020Tracked since
CSDB Rating6.6 SolidSupport
Premier CS Rating22,690Top 25% of 213,399 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)
CSDB Leaderboard#47366 of 259985 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (19 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: 22,690 -1,466 14 Jun – 17 Oct · 6 days played
22,69025,552peak 25,55214 Jun17 Oct
25,552Peak Premier in tracked matches
2,392Highest Faceit ELO seen on CSDB
46Days played since 2026-06-14

Faceit ELO

  • At peak — 2,392
  • Next: 2,500 ELO at 2,500 — 108 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-05
  • Level 9 first seen 2026-09-05

Premier CS Rating

  • 2,862 below peak (25,552)
  • -2,862 over 90 days
  • Next: Red band at 25,000 — 2,310 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. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGkivatyyppiPREMIER22,690 · Pink bandPEAK ELO2,392csdb.gg/stats

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Performance scores

Aim64
Positioning59
Utility75

0–100 skill scores via Leetify.

Recent form

HOT61–37–2Last 10061%Win rateLWWWWWWWWW

Last 10 vs previous 10: +30pp win rate · +0.05 avg rating · −1.3pp headshot accuracy · +95ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.09
  • Avg headshot accuracy 21%
  • Avg reaction 600ms

Last 10

  • 9–1 · 90% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 599ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 551ms

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 against its own average).

Aim6.4
Utility7.5
Positioning5.9
Opening Duels4.0
Clutch4.6

Effective flashesHigh utility contribution

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

ZywOo

Plays most like ZywOo 74% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Strengths

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 576ms 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

Aim6.4
Positioning5.9
Utility7.5
Mechanics5.7
Opening Duels4.2
Win Impact10.0

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 0.02 → last ⅓ avg 0.01
Reaction time561ms−34ms
first ⅓ avg 595ms → last ⅓ avg 561ms
Headshot accuracy18.6%−1.8%
first ⅓ avg 20.4% → last ⅓ avg 18.6%

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

0.19Best match rating · 9–0 · vertigo, 2 Nov →
40%Best headshot accuracy · 13–2 · vertigo, 9 Sept →
281msFastest reaction time · 2–13 · vertigo, 26 Sept →
13–0Biggest win · anubis, 14 Jul →

Across the last 100 tracked matches.

Highlights

10Longest win streak
7–3In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 80% over 5cacheWeakest map · 47% over 15
MapGradePlayedRecordWin rateAvg rating
vertigoA4023–1757%0.00
trainS1612–475%0.00
cacheB157–847%0.01
infernoA53–260%0.05
ancientS54–180%0.01
dust2—42–250%0.01
mirage—43–175%0.03
anubis—31–233%0.00
nuke—33–0100%0.02
boulder—21–150%0.07
fachwerk—21–150%-0.00
shelter—11–0100%0.08

Across the last 100 tracked matches.

Faceit stats

Combat

902Matches
52%Win rate
1.09Avg K/D
79.9ADR
47%Headshot %

Clutches & streaks

43%1v1 clutch win
21%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage12546%1.0315.2
Anubis9449%1.1114.9
Nuke7156%1.0716.0
Vertigo6766%1.2016.4
Inferno6263%1.1815.2
Ancient5545%0.9715.2
Overpass3053%1.1116.4
Dust23030%0.9314.1

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.

17.6%Headshot accuracy
35.8%Accuracy (enemy spotted)
41.8%Spray accuracy
75.5%Counter-strafing
12.5°Preaim
576msReaction time
44.9%T opening success
48.4%CT opening success
0.78Enemies flashed / flash
9.8%Flash assists
14.12HE damage / grenade
12.08Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.5465° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Cache

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

47% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
vertigo7–13-0.0718%2 Nov →
inferno9–30.1836%2 Nov →
vertigo9–20.150%2 Nov →
vertigo9–00.1925%2 Nov →
vertigo9–7-0.0128%1 Nov →
cache13–80.0319%31 Oct →
train13–5-0.0115%31 Oct →
vertigo13–7-0.0119%31 Oct →
train13–10-0.038%29 Oct →
vertigo13–11-0.0218%29 Oct →
train13–70.009%27 Oct →
vertigo10–13-0.049%27 Oct →
vertigo6–13-0.0223%23 Oct →
train13–5-0.0314%22 Oct →
vertigo13–40.1030%22 Oct →
vertigo7–20.0238%17 Oct →
vertigo6–9-0.1127%17 Oct →
dust213–70.0311%17 Oct →
dust21–13-0.0619%17 Oct →
mirage13–1-0.0219%17 Oct →
cache9–130.034%9 Oct →
anubis10–13-0.0617%9 Oct →
ancient13–70.0918%9 Oct →
vertigo13–4-0.0613%4 Oct →
vertigo2–13-0.0622%26 Sept →
train13–11-0.0512%25 Sept →
vertigo10–13-0.0420%25 Sept →
cache9–13-0.0222%23 Sept →
vertigo13–70.0113%23 Sept →
cache5–13-0.0339%21 Sept →
vertigo13–30.0420%21 Sept →
train13–110.0418%20 Sept →
vertigo13–60.0211%20 Sept →
train13–60.0424%19 Sept →
vertigo13–70.0127%19 Sept →
train11–130.0113%17 Sept →
vertigo8–13-0.0125%17 Sept →
cache13–6-0.0324%13 Sept →
vertigo13–20.0724%13 Sept →
train13–60.0518%13 Sept →
vertigo6–00.0433%13 Sept →
cache5–13-0.0524%12 Sept →
vertigo6–13-0.0210%11 Sept →
dust213–5-0.0016%11 Sept →
inferno13–60.0114%11 Sept →
nuke16–12-0.0424%11 Sept →
train8–13-0.0811%9 Sept →
vertigo13–20.0140%9 Sept →
cache13–80.0611%6 Sept →
vertigo5–13-0.0121%6 Sept →
vertigo13–5-0.0438%2 Sept →
cache9–130.0317%30 Aug →
train13–10.0921%30 Aug →
vertigo13–10.0514%30 Aug →
vertigo7–9-0.1135%28 Aug →
vertigo9–6-0.0919%26 Aug →
train13–3-0.0110%24 Aug →
cache13–50.0726%24 Aug →
vertigo13–40.0415%24 Aug →
cache13–100.0327%23 Aug →
vertigo7–130.0124%23 Aug →
train13–11-0.0016%22 Aug →
vertigo13–70.0425%22 Aug →
ancient13–5-0.0213%21 Aug →
nuke13–80.0118%21 Aug →
train5–13-0.0421%15 Aug →
vertigo9–13-0.0224%15 Aug →
boulder13–110.0424%5 Aug →
fachwerk13–9-0.0118%5 Aug →
vertigo13–3-0.0130%5 Aug →
vertigo13–70.043%3 Aug →
boulder2–30.1011%3 Aug →
shelter13–40.0839%3 Aug →
fachwerk12–12-0.0012%2 Aug →
vertigo6–130.0622%2 Aug →
ancient5–13-0.0714%25 Jul →
dust29–130.0822%25 Jul →
ancient13–6-0.0125%14 Jul →
anubis13–00.1037%14 Jul →
cache3–130.0231%14 Jul →
inferno9–130.0317%14 Jul →
nuke13–70.0815%5 Jul →
train10–130.0027%1 Jul →
vertigo10–130.0124%1 Jul →
vertigo6–130.0014%28 Jun →
vertigo9–50.0822%27 Jun →
cache13–10-0.0011%27 Jun →
vertigo4–13-0.0721%26 Jun →
inferno4–130.0112%25 Jun →
train13–60.0214%24 Jun →
cache10–130.0212%24 Jun →
vertigo12–12-0.0422%24 Jun →
mirage13–10.0730%18 Jun →
mirage13–50.0234%18 Jun →
mirage9–130.0412%18 Jun →
ancient13–70.058%15 Jun →
inferno13–110.0239%14 Jun →
anubis5–13-0.0321%14 Jun →
cache13–90.0216%14 Jun →
cache10–130.0414%14 Jun →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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