kisel

kisel — CS2 Stats

NE76561198432390734[U:1:472125006]Steam profile ↗✓ No bans

648Tracked matches55%Win rate2020Tracked since
2,287Hours in CS9Hrs last 2 wks
CSDB Rating5.3 DevelopingSupport
Premier CS Rating19,725Top 50% of 215,558 CSDB-tracked playersPurple band · top ~9.6% of ranked players (population est.)
CSDB Leaderboard#91051 of 261708 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 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: 19,725 +132 22 May – 12 Nov · 25 days played
16,51720,330peak 20,33022 May12 Nov
20,751Peak Premier in tracked matches
37Days played since 2026-05-16

Premier CS Rating

  • 605 below peak (20,330)
  • +1,565 over 30 days · improving
  • Next: Pink band at 20,000 — 275 to go
  • Reached: Pink band · Purple band · Blue band · 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 Level 5 among CSDB-tracked players (n=14,631), 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 5 medianLevel 6 medianvs Level 6
Headshot rate47.9%43.8%44.8%above
Shot accuracy13.2%12.0%12.4%above
Kill/death ratio1.021.021.03meets
Match win rate46.9%44.7%45.2%above

Across every metric we can compare, this profile already matches the typical Level 6 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGkiselFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER19,725 · Purple 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

Aim62
Positioning49
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateWLLWWLLWWW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating · −0.1pp headshot accuracy · +101ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 570ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 570ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 520ms

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 (+1.3 against its own average).

Aim6.2
Utility5.3
Positioning4.9
Opening Duels2.1
Clutch3.8

Effective flashes

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 86% 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 →

CSDB Rating breakdown

Aim6.2
Positioning4.9
Utility5.3
Mechanics4.5
Opening Duels3.0
Win Impact6.7

Composite 5.3/10 (Developing), 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-0.02−0.03
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time535ms−29ms
first ⅓ avg 565ms → last ⅓ avg 535ms
Headshot accuracy12.4%−2.7%
first ⅓ avg 15.2% → last ⅓ avg 12.4%

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

0.12Best match rating · 13–6 · inferno, 11 Jun →
50%Best headshot accuracy · 3–0 · ancient, 23 Jun →
313msFastest reaction time · 13–2 · mirage, 2 Oct →
13–2Biggest win · mirage, 25 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–7In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 75% over 16dust2Weakest map · 29% over 21
MapGradePlayedRecordWin rateAvg rating
dust2D216–1529%-0.01
infernoS1612–475%0.00
anubisA148–657%0.00
mirageC135–838%-0.01
cacheB136–746%-0.01
ancientC125–742%-0.04
nukeC94–544%-0.03
italy—11–0100%0.09
overpass—10–10%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

61,071Lifetime kills
1.02K/D · Top 50% of Level 5 players
2,906Matches
46.9%Match win rate · Top 50% of Level 5 players
47.9%Headshot % · Top 50% of Level 5 players
13.2%Shot accuracy · Top 50% of Level 5 players
7,423MVPs
1,311Hours (in match)
5,653Bombs planted
897Bombs defused

Most-used weapons

AK-4716,983
AWP9,798
Tec-91,483
MAC-101,469
FAMAS1,439
MP91,333

Lifetime map wins

9,312dust2
4,973inferno
1,821nuke
1,698vertigo
1,038office
894train
75cbble
53lake

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

Faceit stats

Combat

435Matches
48%Win rate
1.00Avg K/D
68.4ADR
37%Headshot %

Clutches & streaks

39%1v1 clutch win
25%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust210149%1.0514.5
Anubis9853%1.0214.7
Ancient6952%0.9312.7
Inferno5740%0.9514.9
Mirage5650%1.0513.1
Nuke3142%0.9813.3
Cache862%1.0815.5
Vertigo838%1.0114.6

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.

12.0%Headshot accuracy
33.3%Accuracy (enemy spotted)
38.4%Spray accuracy
70.2%Counter-strafing
8.7°Preaim
533msReaction time
40.2%T opening success
44.0%CT opening success
0.72Enemies flashed / flash
6.9%Flash assists
4.07HE damage / grenade
21.75Flashes / 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 12.0212% — below the 15% mark we flag

    Aim Training →
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.

29% win rate across 21 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
inferno16–120.0010%12 Nov →
ancient8–13-0.0815%8 Nov →
dust27–13-0.0713%8 Nov →
dust213–11-0.0316%8 Nov →
inferno13–80.0113%8 Nov →
anubis14–160.019%2 Nov →
ancient9–13-0.0211%2 Nov →
mirage13–9-0.0011%2 Nov →
cache13–7-0.0119%1 Nov →
inferno13–11-0.0211%1 Nov →
ancient13–80.0113%1 Nov →
dust214–16-0.0813%28 Oct →
anubis9–130.0514%28 Oct →
nuke12–16-0.048%27 Oct →
cache3–13-0.1018%27 Oct →
mirage7–00.0122%27 Oct →
anubis9–13-0.0213%26 Oct →
cache8–13-0.047%26 Oct →
inferno12–16-0.0112%25 Oct →
anubis13–100.009%25 Oct →
mirage13–20.038%25 Oct →
inferno15–15-0.0411%24 Oct →
dust27–13-0.033%23 Oct →
inferno13–9-0.0111%23 Oct →
ancient13–5-0.055%23 Oct →
inferno11–130.0027%22 Oct →
anubis13–9-0.0416%22 Oct →
anubis13–10-0.0314%22 Oct →
anubis16–120.0110%21 Oct →
nuke13–9-0.026%21 Oct →
ancient3–13-0.0613%19 Oct →
inferno13–4-0.0325%19 Oct →
inferno6–13-0.115%19 Oct →
dust213–11-0.028%19 Oct →
dust213–7-0.0110%19 Oct →
cache9–13-0.0012%18 Oct →
nuke13–10-0.030%18 Oct →
cache13–100.0112%18 Oct →
nuke13–8-0.0326%18 Oct →
mirage12–16-0.057%18 Oct →
mirage10–130.0112%18 Oct →
dust28–130.0717%13 Oct →
inferno13–9-0.0016%13 Oct →
inferno13–110.078%13 Oct →
inferno13–9-0.054%13 Oct →
cache11–130.016%13 Oct →
dust213–100.035%13 Oct →
ancient13–5-0.0410%13 Oct →
dust220–220.0410%11 Oct →
dust29–13-0.0715%11 Oct →
dust211–13-0.0217%9 Oct →
cache4–13-0.039%8 Oct →
ancient7–130.0014%8 Oct →
dust22–13-0.0813%8 Oct →
anubis13–100.017%8 Oct →
anubis13–30.0111%8 Oct →
dust214–16-0.0412%4 Oct →
mirage15–150.028%2 Oct →
cache13–100.018%2 Oct →
mirage13–8-0.0715%2 Oct →
mirage13–20.0218%2 Oct →
cache3–13-0.0313%1 Oct →
cache16–130.068%1 Oct →
mirage9–13-0.0614%1 Oct →
nuke4–130.0312%30 Sept →
inferno13–60.1110%30 Sept →
nuke6–13-0.0019%29 Sept →
mirage4–130.0325%29 Sept →
dust26–130.0118%29 Sept →
mirage1–13-0.065%29 Sept →
nuke4–13-0.078%29 Sept →
dust29–130.0018%27 Sept →
inferno13–110.018%27 Sept →
dust213–60.0525%5 Sept →
inferno13–70.0110%30 Aug →
anubis13–9-0.0319%30 Aug →
cache8–13-0.083%30 Aug →
anubis15–150.049%30 Aug →
ancient3–13-0.0321%4 Aug →
nuke13–2-0.005%4 Aug →
dust212–120.048%25 Jul →
cache13–70.118%25 Jul →
dust212–160.0316%26 Jun →
ancient5–13-0.0514%26 Jun →
italy13–80.0917%24 Jun →
anubis9–13-0.028%23 Jun →
overpass10–130.0213%23 Jun →
ancient3–0-0.0450%23 Jun →
nuke2–13-0.0612%23 Jun →
inferno13–60.1223%11 Jun →
mirage10–13-0.0412%29 May →
dust26–13-0.0617%29 May →
anubis13–70.0219%29 May →
anubis7–13-0.0022%29 May →
ancient7–13-0.059%29 May →
dust212–120.0217%22 May →
ancient13–9-0.0416%22 May →
mirage6–130.0315%18 May →
dust213–80.0316%17 May →
cache13–90.0214%16 May →

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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