Sergei "The killer" Kalašnikov

Sergei "The killer" Kalašnikov — CS2 Stats

KE76561198787454777[U:1:827189049]Steam profile ↗✓ No bans

64Tracked matches52%Win rate2025Tracked since
71Hours in CS3Hrs last 2 wks
CSDB Rating3.5 LearningSupport
Ladder ranks via Leetify

Performance scores

Aim34
Positioning33
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY28–28–8Last 6444%Win rateLLWLLWWLWL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +7.9pp headshot accuracy · +34ms reaction

Win rate 0pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 22%
  • Avg reaction 634ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 21%
  • Avg reaction 683ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 666ms

Newest first, from the last 64 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 (+1.4 against its own average).

Aim3.4
Utility3.7
Positioning3.3
Opening Duels0.0

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

iM

Plays most like iM 76% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 702ms 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

Aim3.4
Positioning3.3
Utility3.7
Mechanics4.7
Opening Duels0.0
Win Impact5.6

Composite 3.5/10 (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-0.04+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time666ms−38ms
first ⅓ avg 704ms → last ⅓ avg 666ms
Headshot accuracy18.0%+4.6%
first ⅓ avg 13.4% → last ⅓ avg 18.0%

Rolling 5-match average across the last 64 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.13Best match rating · 9–2 · vertigo, 18 Mar →
38%Best headshot accuracy · 9–1 · vertigo, 19 Mar →
453msFastest reaction time · 13–8 · mirage, 15 Dec →
13–1Biggest win · mirage, 12 May →

Across the last 64 tracked matches.

Highlights

5Longest win streak
L2Current streak
1Overtime games

Map breakdown

mirageBest map · 67% over 6dust2Weakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
vertigoA148–657%-0.03
cacheB136–746%-0.05
dust2D70–70%-0.04
mirageS64–267%-0.00
nukeB63–350%-0.03
overpassC52–340%-0.04
inferno—41–325%-0.08
poseidon—20–20%-0.06
sanctum—21–150%-0.04
alpine—21–150%-0.04
office—11–0100%0.01
train—10–10%-0.09
italy—11–0100%-0.01

Across the last 64 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

1,695Lifetime kills
0.72K/D
136Matches
41.9%Match win rate
48.7%Headshot % · Top 50% of tracked players
0.0%Shot accuracy
364MVPs
85Hours (in match)
119Bombs planted
33Bombs defused

Most-used weapons

Lifetime map wins

159dust2
148inferno
143vertigo
91nuke
13italy
13office
13train

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.2%Headshot accuracy
27.1%Accuracy (enemy spotted)
30.8%Spray accuracy
71.2%Counter-strafing
9.6°Preaim
702msReaction time
21.0%T opening success
26.5%CT opening success
0.55Enemies flashed / flash
3.2%Flash assists
5.66HE damage / grenade
6.83Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 702.0636ms — above the 700ms mark we flag

    Aim Training →
  2. 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 21.0479% — below the 40% mark we flag

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.

0% win rate across 7 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
cache3–13-0.1218%20 Oct →
cache8–13-0.0715%19 Oct →
cache13–6-0.0427%19 Oct →
inferno9–13-0.0023%28 May →
cache2–13-0.0428%16 May →
cache13–7-0.0612%16 May →
mirage13–10.0917%12 May →
cache4–13-0.0513%11 May →
cache13–8-0.0032%10 May →
cache9–13-0.0825%10 May →
vertigo5–9-0.2810%6 May →
cache13–100.0120%5 May →
cache6–13-0.0815%4 May →
cache13–9-0.019%4 May →
cache12–12-0.0421%3 May →
cache13–8-0.090%1 May →
dust24–12-0.0215%26 Mar →
vertigo9–50.1117%24 Mar →
poseidon8–8-0.159%24 Mar →
poseidon8–80.0214%21 Mar →
sanctum9–10.0335%21 Mar →
vertigo3–9-0.0622%21 Mar →
vertigo6–9-0.0223%21 Mar →
vertigo9–6-0.0518%21 Mar →
nuke13–8-0.0113%20 Mar →
vertigo9–7-0.1236%19 Mar →
office13–80.0113%19 Mar →
vertigo9–10.0538%19 Mar →
vertigo8–8-0.0017%18 Mar →
vertigo9–20.1327%18 Mar →
vertigo9–3-0.0311%18 Mar →
nuke6–9-0.1412%18 Mar →
overpass5–9-0.0119%18 Mar →
vertigo9–60.0115%18 Mar →
mirage10–130.0618%18 Mar →
mirage13–50.0715%17 Mar →
dust28–130.0515%17 Mar →
nuke4–9-0.0114%16 Mar →
overpass7–9-0.0422%16 Mar →
sanctum2–9-0.1110%16 Mar →
overpass8–8-0.0823%16 Mar →
vertigo8–8-0.038%16 Mar →
inferno2–9-0.2021%16 Mar →
nuke9–3-0.0822%16 Mar →
overpass13–50.032%15 Mar →
nuke13–60.1210%14 Mar →
dust213–16-0.0722%13 Mar →
mirage4–13-0.1713%13 Mar →
dust24–13-0.0516%12 Mar →
overpass13–3-0.0718%11 Mar →
alpine9–13-0.1113%8 Mar →
alpine13–50.0217%5 Mar →
inferno9–1-0.050%5 Mar →
dust27–13-0.068%5 Mar →
train12–12-0.0914%2 Mar →
dust212–12-0.0416%5 Feb →
dust22–13-0.1017%27 Dec →
vertigo13–5-0.0721%25 Dec →
italy13–7-0.0122%22 Dec →
vertigo4–13-0.110%21 Dec →
nuke11–13-0.070%20 Dec →
inferno1–13-0.080%16 Dec →
mirage13–8-0.0827%16 Dec →
mirage13–80.0426%15 Dec →

Match data via Leetify.

Recent teammates

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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