Kartano Kievari

Kartano Kievari — CS2 Stats

MP76561198153295404[U:1:193029676]Steam profile ↗✓ No bans

609Tracked matches31%Win rate2020Tracked since
1,080Hours in CS
CSDB Rating2.8 LearningSupport
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 1 among CSDB-tracked players (n=2,306), 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 playerLevel 1 medianLevel 2 medianvs Level 2
Headshot rate40.0%40.9%41.3%1.3% short
Shot accuracy15.8%14.2%12.7%above
Kill/death ratio0.800.950.950.15 short
Match win rate38.1%42.1%42.6%4.5% short

This profile matches the typical Level 2 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKartano KievariFACEITLevel 1STANDINGTop 100.0% of rankedcsdb.gg/stats

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Performance scores

Aim30
Positioning34
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY41–48–11Last 10041%Win rateLWWWLWWLTL

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · +1.3pp headshot accuracy · +38ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 16%
  • Avg reaction 680ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 18%
  • Avg reaction 678ms

Last 20

  • 7–9–4 · 35% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 17%
  • Avg reaction 658ms

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 (+1.1 against its own average).

Aim3.0
Utility3.4
Positioning3.4
Opening Duels0.0

Limited 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

ZywOo

Plays most like ZywOo 76% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 651ms 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

Aim3.0
Positioning3.4
Utility3.4
Mechanics4.8
Opening Duels0.0
Win Impact0.0

Composite 2.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.06−0.03
first ⅓ avg -0.03 → last ⅓ avg -0.06
Reaction time676ms+29ms
first ⅓ avg 647ms → last ⅓ avg 676ms
Headshot accuracy18.3%+0.3%
first ⅓ avg 18.0% → last ⅓ avg 18.3%

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 · 9–3 · sanctum, 2 Feb →
40%Best headshot accuracy · 8–8 · inferno, 19 Apr →
461msFastest reaction time · 10–13 · office, 26 Apr →
13–0Biggest win · agency, 3 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
3–7In matches decided by ≤2 rounds
1Overtime games

Map breakdown

officeBest map · 67% over 9dust2Weakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
vertigoD165–1131%-0.06
nukeD113–827%-0.04
infernoC94–544%-0.06
officeS96–367%-0.01
mirageB84–450%-0.02
dust2D61–517%-0.06
agencyD62–433%-0.01
overpassC52–340%-0.03
train—43–175%-0.03
sanctum—41–325%-0.02
alpine—41–325%-0.03
poseidon—31–233%-0.14
italy—31–233%-0.06
anubis—21–150%-0.04
warden—21–150%-0.03
stronghold—22–0100%-0.04
palacio—21–150%-0.05
boulder—11–0100%-0.05
ancient—10–10%-0.04
golden—11–0100%0.03
rooftop—10–10%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,777Lifetime kills
0.80K/D
3,205Matches
38.1%Match win rate
40.0%Headshot %
15.8%Shot accuracy · Top 50% of Level 1 players
6,917MVPs
1,080Hours (in match)
1,899Bombs planted
1,708Bombs defused

Most-used weapons

AK-4713,895
AWP5,344
MP91,719
P901,431
MP71,294
MAC-101,277

Lifetime map wins

3,421inferno
2,946dust2
2,794nuke
1,566train
1,152vertigo
908office
233cbble
134lake

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

Faceit stats

Combat

33Matches
48%Win rate
0.65Avg K/D
—ADR
43%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLW

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.

18.8%Headshot accuracy
27.0%Accuracy (enemy spotted)
26.6%Spray accuracy
71.7%Counter-strafing
12.6°Preaim
651msReaction time
26.5%T opening success
21.0%CT opening success
0.44Enemies flashed / flash
2.6%Flash assists
10.79HE damage / grenade
3.28Flashes / 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 12.6102° — above the 12° mark we flag

    Aim Training →
  2. 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 0.4423 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo5–13-0.0722%13 Sept →
anubis13–10-0.0120%13 Sept →
boulder13–4-0.0513%11 Sept →
vertigo13–8-0.1014%11 Sept →
dust210–13-0.0713%11 Sept →
train13–9-0.0723%9 Sept →
vertigo13–10-0.0814%9 Sept →
nuke4–130.0029%9 Sept →
inferno12–12-0.0616%9 Sept →
dust21–8-0.0614%4 May →
overpass8–13-0.0418%26 Apr →
train10–13-0.059%26 Apr →
office10–13-0.0419%26 Apr →
overpass9–00.0413%20 Apr →
nuke8–8-0.118%20 Apr →
vertigo8–8-0.0421%20 Apr →
inferno5–9-0.0113%20 Apr →
sanctum6–9-0.1411%19 Apr →
vertigo9–6-0.0923%19 Apr →
vertigo8–8-0.0930%19 Apr →
overpass2–9-0.2130%19 Apr →
nuke8–8-0.1013%19 Apr →
inferno8–8-0.1940%19 Apr →
poseidon9–6-0.1012%19 Apr →
sanctum8–8-0.0615%19 Apr →
mirage12–16-0.0614%11 Apr →
warden9–13-0.0317%6 Apr →
alpine6–13-0.0020%5 Apr →
nuke5–13-0.0212%5 Apr →
vertigo5–13-0.0712%22 Feb →
dust27–13-0.1025%13 Feb →
mirage5–13-0.0925%13 Feb →
mirage11–130.0429%12 Feb →
vertigo2–13-0.115%12 Feb →
vertigo9–5-0.0324%11 Feb →
inferno9–6-0.0521%11 Feb →
nuke2–13-0.0711%11 Feb →
train13–4-0.0223%11 Feb →
office13–100.1429%10 Feb →
alpine11–13-0.0121%10 Feb →
vertigo4–13-0.0225%10 Feb →
train3–00.0120%10 Feb →
inferno5–9-0.1217%10 Feb →
sanctum7–9-0.0031%10 Feb →
poseidon3–9-0.1715%10 Feb →
nuke11–13-0.0324%3 Feb →
mirage13–3-0.0524%3 Feb →
nuke13–60.0323%2 Feb →
office9–13-0.0423%2 Feb →
mirage4–13-0.0215%2 Feb →
sanctum9–30.1432%2 Feb →
poseidon1–9-0.160%2 Feb →
alpine13–3-0.0621%29 Jan →
warden13–3-0.0319%29 Jan →
stronghold13–4-0.0413%29 Jan →
stronghold13–10-0.0315%23 Jan →
alpine7–13-0.0615%23 Jan →
nuke13–6-0.0314%19 Jan →
agency3–13-0.0516%15 Jan →
overpass13–40.0817%15 Jan →
office5–13-0.0833%11 Dec →
dust211–13-0.0420%11 Dec →
vertigo12–120.0119%28 Nov →
agency11–13-0.027%16 Nov →
dust212–12-0.0615%14 Nov →
agency9–13-0.0220%12 Nov →
office5–00.0229%12 Nov →
italy5–13-0.0824%9 Nov →
mirage11–1-0.0111%9 Nov →
agency9–13-0.0316%9 Nov →
office13–40.0220%9 Nov →
italy7–13-0.0818%8 Nov →
italy13–6-0.0117%7 Nov →
agency13–70.0522%7 Nov →
nuke9–13-0.0516%7 Nov →
overpass8–13-0.0522%7 Nov →
inferno9–13-0.0613%5 Nov →
mirage13–110.0120%5 Nov →
ancient8–13-0.0420%4 Nov →
vertigo9–13-0.0818%4 Nov →
inferno13–8-0.0015%4 Nov →
palacio13–8-0.019%3 Nov →
agency13–00.0130%3 Nov →
office13–5-0.0318%3 Nov →
dust213–7-0.0119%3 Nov →
palacio4–13-0.095%2 Nov →
golden13–20.0318%2 Nov →
vertigo7–13-0.0818%2 Nov →
office13–10-0.0413%2 Nov →
nuke13–11-0.0631%30 Oct →
inferno13–6-0.0221%30 Oct →
vertigo11–13-0.0415%29 Oct →
rooftop8–80.0118%27 Oct →
office13–9-0.0822%27 Oct →
nuke12–12-0.0613%22 Oct →
mirage13–110.0120%22 Oct →
vertigo4–13-0.0228%22 Oct →
vertigo13–7-0.0018%22 Oct →
inferno13–10-0.067%21 Oct →
anubis4–13-0.0720%21 Oct →

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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