KanervA

KanervA — CS2 Stats

FI76561197979404637[U:1:19138909]Steam profile ↗✓ No bans

1,501Tracked matches57%Win rate2020Tracked since
3,744Hours in CS33Hrs last 2 wks
CSDB Rating7.4 StrongPositional Player
Premier CS Rating24,758Top 25% of 204,412 CSDB-tracked playersPink band · top ~3.3% of ranked players (population est.)
CSDB Leaderboard#24494 of 251656 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (29 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: 24,758 +1,713 28 Jul – 15 Sept · 12 days played
23,04524,999peak 24,99928 Jul15 Sept
24,999Peak Premier in tracked matches
25Days played since 2026-07-27

Premier CS Rating

  • 241 below peak (24,999)
  • +306 over 30 days · steady
  • Next: Red band at 25,000 — 242 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-31
  • Purple band first seen 2026-08-31

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 9 among CSDB-tracked players (n=14,591), 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 9 medianLevel 10 medianvs Level 10
Headshot rate47.6%48.2%50.9%3.3% short
Shot accuracy13.9%13.3%13.7%meets
Kill/death ratio1.321.071.09above
Match win rate47.8%46.9%48.4%meets

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKanervAFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER24,758 · 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
Positioning73
Utility62

0–100 skill scores via Leetify.

Recent form

COLD54–41–5Last 10054%Win rateLLLLWLLWWT

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · −6.3pp headshot accuracy · +38ms reaction

Win rate down 20pp 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 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 511ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 566ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 547ms

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: Positional Player — Positioning stands above the rest of this profile (+2.3 against its own average).

Aim8.2
Utility6.2
Positioning7.3
Opening Duels4.5
Clutch1.8

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

NiKo

Plays most like NiKo 89% playstyle similarity

Most alike: positioning profile, utility contribution.

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

T openings. 67% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 67% 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
Positioning7.3
Utility6.2
Mechanics6.9
Opening Duels6.3
Win Impact7.4

Composite 7.4/10 (Strong), 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 rating-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time534ms−65ms
first ⅓ avg 599ms → last ⅓ avg 534ms
Headshot accuracy21.0%−0.4%
first ⅓ avg 21.4% → last ⅓ avg 21.0%

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

0.32Best match rating · 13–0 · train, 9 Aug →
47%Best headshot accuracy · 16–14 · nuke, 27 Jul →
359msFastest reaction time · 7–13 · inferno, 15 Sept →
13–0Biggest win · train, 9 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L4Current streak
14–7In matches decided by ≤2 rounds
17Overtime games

Map breakdown

mirageBest map · 70% over 10ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2S2315–865%0.00
cacheA1810–856%0.01
infernoC188–1044%0.01
nukeC146–843%-0.02
mirageS107–370%-0.01
anubisA85–363%-0.03
ancientD51–420%-0.01
overpass—21–150%0.00
vertigo—10–10%0.01
train—11–0100%0.32

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

141,135Lifetime kills
1.32K/D · Top 25% of Level 9 players
5,370Matches
47.8%Match win rate · Top 50% of Level 9 players
47.6%Headshot %
13.9%Shot accuracy · Top 50% of Level 9 players
16,280MVPs
2,274Hours (in match)
6,280Bombs planted
1,175Bombs defused

Most-used weapons

AK-4739,457
AWP22,351
SSG 084,718
P2502,026
FAMAS1,999

Lifetime map wins

11,916dust2
9,858inferno
5,543nuke
3,901train
907vertigo
705cbble
119lake
71dust

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

Faceit stats

Combat

303Matches
57%Win rate
1.20Avg K/D
85.8ADR
42%Headshot %

Clutches & streaks

29%1v1 clutch win
17%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust23468%1.1414.9
Mirage2450%1.2217.2
Inferno2259%1.1115.9
Cache1771%1.0213.9
Nuke1338%1.1517.2
Anubis875%1.0015.0
Ancient540%0.7612.2

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.

21.7%Headshot accuracy
34.4%Accuracy (enemy spotted)
33.1%Spray accuracy
81.1%Counter-strafing
7.5°Preaim
536msReaction time
67.3%T opening success
43.3%CT opening success
0.65Enemies flashed / flash
4.8%Flash assists
13.00HE damage / grenade
6.24Flashes / match

Recommended for you

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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–130.0517%11 Oct →
vertigo6–130.0116%10 Oct →
dust26–13-0.0014%10 Oct →
cache9–130.0424%10 Oct →
inferno13–10.0620%10 Oct →
ancient7–13-0.0419%10 Oct →
dust29–130.0124%10 Oct →
cache16–14-0.0018%10 Oct →
dust213–50.0527%26 Sept →
overpass12–12-0.0818%26 Sept →
inferno10–130.0318%26 Sept →
cache13–100.0122%15 Sept →
inferno7–13-0.0720%15 Sept →
nuke9–130.0818%14 Sept →
mirage13–8-0.0321%12 Sept →
anubis13–7-0.0029%12 Sept →
dust213–70.0828%12 Sept →
nuke15–150.0028%12 Sept →
cache13–90.0336%12 Sept →
dust20–13-0.0441%12 Sept →
inferno13–6-0.0512%12 Sept →
nuke11–13-0.0620%12 Sept →
dust26–50.0330%11 Sept →
mirage13–10.0413%10 Sept →
mirage13–4-0.0416%8 Sept →
dust213–7-0.0510%6 Sept →
mirage13–90.0630%5 Sept →
mirage13–11-0.0223%3 Sept →
dust213–4-0.0017%2 Sept →
anubis2–13-0.0829%18 Aug →
dust216–140.0419%18 Aug →
anubis13–11-0.059%17 Aug →
anubis13–2-0.028%17 Aug →
mirage8–13-0.0719%17 Aug →
dust211–13-0.0520%14 Aug →
mirage13–80.0012%14 Aug →
nuke5–13-0.0615%14 Aug →
dust216–130.0120%14 Aug →
inferno16–120.0220%13 Aug →
mirage13–10-0.0420%13 Aug →
cache3–13-0.0435%13 Aug →
mirage15–15-0.0321%13 Aug →
inferno13–10-0.0228%13 Aug →
dust216–130.0015%13 Aug →
nuke13–50.0229%13 Aug →
inferno11–13-0.027%13 Aug →
nuke6–13-0.0232%13 Aug →
dust213–7-0.0231%13 Aug →
cache13–20.039%13 Aug →
cache13–8-0.0124%12 Aug →
inferno13–110.0520%12 Aug →
dust29–130.0124%12 Aug →
inferno11–130.0417%9 Aug →
train13–00.3235%9 Aug →
ancient1–13-0.0714%9 Aug →
overpass13–80.0816%9 Aug →
ancient13–90.1113%6 Aug →
dust26–130.0416%6 Aug →
ancient15–15-0.057%6 Aug →
nuke1–13-0.0921%6 Aug →
inferno4–130.0324%6 Aug →
dust213–2-0.0521%6 Aug →
cache13–160.0435%6 Aug →
dust210–130.0126%6 Aug →
nuke13–10-0.0314%6 Aug →
anubis13–5-0.025%4 Aug →
nuke10–13-0.0413%4 Aug →
inferno13–110.0716%4 Aug →
cache13–110.0221%4 Aug →
cache13–7-0.0116%4 Aug →
inferno12–160.0019%3 Aug →
nuke13–70.0112%3 Aug →
cache10–130.0226%3 Aug →
inferno14–160.0413%3 Aug →
cache14–160.0237%3 Aug →
dust213–11-0.0113%3 Aug →
dust213–100.0021%30 Jul →
ancient10–130.0221%30 Jul →
cache13–80.0011%30 Jul →
nuke13–11-0.0433%30 Jul →
inferno16–140.0113%30 Jul →
dust216–14-0.0222%30 Jul →
inferno7–13-0.0211%30 Jul →
inferno0–130.0325%30 Jul →
anubis7–13-0.088%28 Jul →
cache13–100.0125%28 Jul →
anubis5–13-0.0722%28 Jul →
inferno10–13-0.0219%28 Jul →
anubis13–80.0817%28 Jul →
cache13–110.0533%28 Jul →
dust213–5-0.0320%28 Jul →
mirage15–150.0520%28 Jul →
cache6–13-0.0113%28 Jul →
inferno13–100.0013%27 Jul →
nuke16–14-0.0347%27 Jul →
cache3–13-0.0132%27 Jul →
nuke13–3-0.0123%27 Jul →
dust216–13-0.0434%27 Jul →
nuke5–13-0.0121%27 Jul →
cache3–13-0.0227%27 Jul →

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 →

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