GiveawaySign In
Kerko

Kerko — CS2 Stats

76561198035551770[U:1:75286042]Steam profile ↗✓ No bans

683Tracked matches41%Win rate2021Tracked since
2,108Hours in CS9Hrs last 2 wks
CSDB Rating3.5 LearningPositional Player
CSDB Leaderboard#141136 of 251163 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (25 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 803 → 803
+13Tracked matches · now 683
−3.4ppWin rate · 44.8% → 41.4%

Rating over time

Premier CS Rating: 15,045 -952 7 Mar – 15 Sept · 15 days played
15,00016,445peak 16,4457 Mar15 Sept
Faceit ELO: 803 +0 14 Sept – 15 Sept · 2 observations
803803peak 80314 Sept15 Sept
16,588Peak Premier in tracked matches
803Highest Faceit ELO seen on CSDB
31Days played since 2026-02-27

Faceit ELO

  • At peak — 803
  • Next: Level 4 at 901 — 98 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-09-14
  • Level 2 first seen 2026-09-14

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches26——
Win rate54%——
K/D0.86——
Headshot %40%——

Measured 10 Sep 2026 → 10 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Share this profile

CSDB.GGKerkoPEAK ELO803csdb.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

Aim56
Positioning40
Utility25

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateLLWWLWWLWL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +4.5pp headshot accuracy · −75ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 595ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 555ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 592ms

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 (+1.2 against its own average).

Aim5.6
Utility2.5
Positioning4.0
Opening Duels2.0
Clutch2.6

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

donk

Plays most like donk 97% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 589ms 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

Aim5.6
Positioning4.0
Utility2.5
Mechanics4.7
Opening Duels1.4
Win Impact2.1

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time584ms−8ms
first ⅓ avg 592ms → last ⅓ avg 584ms
Headshot accuracy13.6%−1.8%
first ⅓ avg 15.5% → last ⅓ avg 13.6%

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

0.11Best match rating · 13–4 · nuke, 9 May →
32%Best headshot accuracy · 8–13 · mirage, 9 Apr →
414msFastest reaction time · 13–6 · dust2, 2 Oct →
13–1Biggest win · inferno, 9 Apr →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
8–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

overpassBest map · 75% over 8anubisWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
dust2C229–1341%-0.03
infernoA1710–759%-0.01
nukeC167–944%-0.03
ancientC145–936%-0.03
anubisD122–1017%-0.04
overpassS86–275%-0.04
cacheC52–340%-0.01
mirage—41–325%-0.03
vertigo—22–0100%0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

57,693Lifetime kills
1.04K/D · Top 50% of tracked players
3,662Matches
44.3%Match win rate
30.6%Headshot %
12.4%Shot accuracy · Top 50% of tracked players
5,990MVPs
1,335Hours (in match)
2,775Bombs planted
647Bombs defused

Most-used weapons

AK-477,181
M4A4 / M4A1-S5,917
AWP5,496
SG 5534,416
P903,874
P2000 / USP-S3,172
AUG3,037
Glock-182,710
MP72,149
XM10142,072

Lifetime map wins

7,235inferno
4,102nuke
3,952dust2
1,225vertigo
927cbble
888train
287office
268assault

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

Faceit stats

Combat

37Matches
57%Win rate
0.81Avg K/D
69.0ADR
40%Headshot %

Clutches & streaks

33%1v1 clutch win
18%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Dust2956%0.8011.2
Inferno650%0.8012.2
Nuke5100%0.8711.6
Ancient475%0.8613.3
Anubis367%0.9513.3
Train250%0.8812.5
Overpass250%0.8413.5
Mirage10%0.368.0

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.

14.1%Headshot accuracy
30.8%Accuracy (enemy spotted)
36.5%Spray accuracy
71.0%Counter-strafing
8.4°Preaim
589msReaction time
28.8%T opening success
41.5%CT opening success
0.27Enemies flashed / flash
4.1%Flash assists
11.73HE damage / grenade
1.86Flashes / 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 14.0824% — below the 15% 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 0.2731 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 28.7779% — below the 40% mark we flag

Spend your practice time on Anubis

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 12 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache11–130.0114%9 Oct →
nuke9–130.0122%9 Oct →
overpass9–6-0.0215%9 Oct →
vertigo9–50.0713%9 Oct →
nuke5–9-0.1118%9 Oct →
inferno9–10.0016%9 Oct →
cache13–8-0.0229%2 Oct →
nuke11–13-0.0710%2 Oct →
dust213–6-0.025%2 Oct →
ancient6–13-0.0521%2 Oct →
inferno13–50.0715%2 Oct →
anubis6–13-0.084%2 Oct →
mirage10–13-0.0524%16 Sept →
ancient13–11-0.0113%26 Jun →
cache12–12-0.0411%26 Jun →
anubis5–13-0.070%6 Jun →
dust213–11-0.0312%6 Jun →
inferno13–11-0.0319%6 Jun →
dust26–13-0.0310%22 May →
inferno3–130.008%22 May →
ancient10–13-0.0310%22 May →
ancient13–16-0.0413%18 May →
dust213–90.0020%18 May →
nuke7–13-0.078%18 May →
mirage8–4-0.057%14 May →
cache7–13-0.0116%14 May →
inferno6–13-0.0122%13 May →
nuke13–3-0.027%13 May →
dust27–13-0.0913%13 May →
ancient13–7-0.0120%12 May →
nuke9–130.0016%12 May →
overpass13–10-0.0515%12 May →
anubis8–130.008%9 May →
nuke13–40.1126%9 May →
overpass13–11-0.054%8 May →
inferno16–120.0214%8 May →
nuke13–5-0.0432%8 May →
dust210–13-0.0518%8 May →
ancient2–13-0.086%1 May →
dust26–13-0.065%1 May →
dust213–110.0311%1 May →
mirage5–13-0.0512%1 May →
anubis5–13-0.077%1 May →
cache13–40.0314%30 Apr →
inferno13–110.0025%30 Apr →
anubis6–13-0.057%24 Apr →
nuke13–9-0.0123%24 Apr →
dust213–80.0011%17 Apr →
inferno8–13-0.073%17 Apr →
overpass12–12-0.0811%17 Apr →
ancient6–13-0.013%11 Apr →
nuke12–12-0.0111%11 Apr →
nuke9–13-0.090%9 Apr →
ancient13–80.059%9 Apr →
dust213–9-0.044%9 Apr →
mirage8–130.0432%9 Apr →
inferno13–1-0.006%9 Apr →
anubis6–13-0.089%9 Apr →
dust210–13-0.035%5 Apr →
ancient16–120.0012%5 Apr →
inferno6–13-0.088%5 Apr →
nuke7–130.0115%4 Apr →
overpass3–13-0.077%4 Apr →
anubis12–12-0.0811%4 Apr →
vertigo13–50.0216%4 Apr →
overpass9–80.0011%3 Apr →
anubis13–8-0.019%3 Apr →
inferno13–8-0.0422%3 Apr →
inferno2–13-0.0723%26 Mar →
ancient13–11-0.035%26 Mar →
dust211–130.007%26 Mar →
inferno13–50.0314%25 Mar →
dust27–13-0.047%25 Mar →
dust26–13-0.0316%25 Mar →
nuke11–13-0.082%21 Mar →
dust29–13-0.0724%20 Mar →
inferno8–130.009%20 Mar →
ancient8–13-0.0311%13 Mar →
overpass13–7-0.0413%13 Mar →
inferno9–13-0.0617%13 Mar →
nuke13–50.0017%13 Mar →
ancient5–13-0.0914%13 Mar →
dust211–13-0.0415%7 Mar →
nuke13–10-0.0111%7 Mar →
overpass13–20.0211%7 Mar →
anubis7–13-0.0211%6 Mar →
ancient5–13-0.073%6 Mar →
dust25–13-0.0929%6 Mar →
dust21–13-0.0827%6 Mar →
dust213–50.0519%6 Mar →
dust213–30.0128%6 Mar →
inferno13–10-0.0412%3 Mar →
anubis11–130.0217%28 Feb →
dust28–13-0.0315%28 Feb →
nuke13–2-0.0425%28 Feb →
dust213–80.0625%28 Feb →
anubis3–13-0.0221%27 Feb →
ancient7–13-0.0513%27 Feb →
anubis13–3-0.0213%27 Feb →
inferno13–90.0018%27 Feb →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.

Explore CSDB.gg

Related

Sensitivity ConverterConvert sensitivity between CS2 and other gameseDPI CalculatorCalculate your effective DPIcm/360 CalculatorMouse distance per full turnResolution CalculatorCompare aspect ratios and resolutionsCrosshair GeneratorBuild and preview custom crosshairs

Tools

CS2 Skin WordleName the skin from an extreme close-upModel AccuracyPrediction model accuracy statsTeam Head-to-HeadCompare pro team stats

Learn & Explore

CS2 vs Rainbow Six SiegeDestructibility and operators vs pure utilityCS2 Player Roles ExplainedEntry, support, AWPer, lurker, IGLCS2 Fixes & TroubleshootingStep-by-step fixes for every common CS2 problem