KevynShalaxe

KevynShalaxe — CS2 Stats

76561198220854956[U:1:260589228]Steam profile ↗✓ No bans

1,078Tracked matches57%Win rate2022Tracked since
1,867Hours in CS11Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
WingmanGold Nova III
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 10,426 -2,040 14 Jun – 4 Jul · 11 days played
10,30814,101peak 14,10114 Jun4 Jul
14,101Peak Premier in tracked matches
35Days played since 2026-06-14

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches30——
Win rate50%——
K/D0.96——
Headshot %58%——

Measured 2 Sep 2026 → 2 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.

Performance scores

Aim75
Positioning54
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY43–51–6Last 10043%Win rateLTWWLWLWLW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +2.5pp headshot accuracy · +62ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 29%
  • Avg reaction 605ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 605ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 574ms

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 (+1.5 against its own average).

Aim7.5
Utility4.0
Positioning5.4
Opening Duels2.7
Clutch3.4

Strong CT-side openerLimited 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

iM

Plays most like iM 93% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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.

T-side openings. Opening success drops from 52% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 578ms 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

Aim7.5
Positioning5.4
Utility4.0
Mechanics6.3
Opening Duels3.1
Win Impact7.2

Composite 5.9/10 (Solid), 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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time590ms−28ms
first ⅓ avg 618ms → last ⅓ avg 590ms
Headshot accuracy20.9%−0.2%
first ⅓ avg 21.1% → last ⅓ avg 20.9%

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

0.16Best match rating · 13–3 · nuke, 4 Jul →
70%Best headshot accuracy · 13–11 · nuke, 29 Jun →
438msFastest reaction time · 13–9 · cache, 24 Jun →
13–1Biggest win · anubis, 2 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 64% over 14infernoWeakest map · 32% over 22
MapGradePlayedRecordWin rateAvg rating
infernoD227–1532%-0.02
mirageD196–1332%-0.03
nukeA149–564%-0.01
cacheA138–562%-0.02
dust2C114–736%0.00
anubisC104–640%-0.03
ancientA74–357%-0.02
overpass—31–233%0.02
office—10–10%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,822Lifetime kills
1.08K/D · Top 50% of tracked players
2,703Matches
44.5%Match win rate
40.4%Headshot %
17.1%Shot accuracy · Top 25% of tracked players
6,894MVPs
1,102Hours (in match)
2,928Bombs planted
577Bombs defused

Most-used weapons

AK-4712,889
AWP10,355
MP72,352
P902,266
SG 5531,099

Lifetime map wins

5,137inferno
3,351dust2
2,218nuke
1,134vertigo
530train
188office
177cbble
27italy

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

Faceit stats

Combat

135Matches
50%Win rate
0.97Avg K/D
75.9ADR
41%Headshot %

Clutches & streaks

37%1v1 clutch win
13%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2148%0.9614.0
Anubis1867%0.9614.0
Nuke1258%1.1015.3
Inferno1070%1.1614.5
Ancient838%0.8814.8
Cache667%0.9715.0
Vertigo540%1.2518.6
Dust2540%0.8912.8

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.

21.8%Headshot accuracy
33.1%Accuracy (enemy spotted)
36.9%Spray accuracy
78.5%Counter-strafing
8.9°Preaim
578msReaction time
32.4%T opening success
52.2%CT opening success
0.47Enemies flashed / flash
3.7%Flash assists
8.31HE damage / grenade
3.01Flashes / 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. 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 0.4736 — below the 0.5 mark we flag

    Grenade Lineups →
  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 32.433% — below the 40% mark we flag

Spend your practice time on Inferno

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

32% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
office11–130.0138%1 Oct →
inferno8–80.0121%1 Oct →
inferno13–60.0337%30 Sept →
dust213–50.0129%27 Sept →
mirage3–13-0.0821%27 Sept →
nuke13–6-0.0625%27 Sept →
inferno14–16-0.0419%22 Sept →
cache13–7-0.0912%19 Sept →
mirage1–13-0.0610%18 Sept →
anubis13–10.1424%2 Aug →
inferno0–13-0.050%24 Jul →
cache13–9-0.0420%22 Jul →
anubis4–13-0.1013%21 Jul →
cache19–22-0.0115%20 Jul →
nuke14–16-0.0838%19 Jul →
mirage13–8-0.0216%19 Jul →
ancient13–110.0115%19 Jul →
anubis8–13-0.0835%19 Jul →
ancient4–13-0.0821%19 Jul →
nuke13–6-0.0138%19 Jul →
mirage9–13-0.0720%19 Jul →
anubis13–11-0.0222%18 Jul →
cache13–60.0022%18 Jul →
cache13–10-0.0326%18 Jul →
mirage8–130.0017%17 Jul →
inferno6–13-0.0316%17 Jul →
cache13–110.0128%17 Jul →
inferno13–60.0019%17 Jul →
cache13–8-0.0119%16 Jul →
cache13–50.0415%15 Jul →
nuke13–11-0.0211%12 Jul →
inferno7–13-0.106%12 Jul →
nuke7–13-0.0422%10 Jul →
inferno13–50.0422%10 Jul →
anubis4–13-0.0617%4 Jul →
nuke13–30.1630%4 Jul →
inferno6–13-0.104%3 Jul →
nuke13–3-0.0714%3 Jul →
mirage8–13-0.0425%3 Jul →
dust26–13-0.0030%2 Jul →
cache12–12-0.0039%30 Jun →
nuke13–11-0.0170%29 Jun →
dust23–13-0.0335%29 Jun →
dust213–7-0.0331%29 Jun →
mirage10–13-0.0122%29 Jun →
inferno5–130.0315%29 Jun →
inferno11–13-0.0219%25 Jun →
ancient7–13-0.0119%25 Jun →
cache8–13-0.0324%25 Jun →
mirage6–130.0218%24 Jun →
cache13–90.0019%24 Jun →
mirage13–8-0.0124%24 Jun →
inferno13–100.0723%24 Jun →
mirage16–14-0.0424%24 Jun →
mirage13–4-0.0221%23 Jun →
dust25–130.0719%23 Jun →
dust212–120.0121%23 Jun →
inferno12–120.0024%23 Jun →
nuke7–13-0.0517%22 Jun →
mirage8–13-0.0520%22 Jun →
inferno8–13-0.090%22 Jun →
dust213–50.0214%22 Jun →
inferno13–30.1027%22 Jun →
mirage13–40.1528%22 Jun →
nuke13–50.0317%21 Jun →
mirage6–13-0.0715%21 Jun →
inferno5–9-0.107%21 Jun →
inferno13–9-0.0318%21 Jun →
cache6–13-0.0627%20 Jun →
mirage6–130.0213%20 Jun →
anubis8–13-0.0823%20 Jun →
mirage2–13-0.0926%19 Jun →
nuke13–30.1322%19 Jun →
mirage7–13-0.038%19 Jun →
ancient6–13-0.0326%18 Jun →
overpass13–40.044%18 Jun →
nuke15–15-0.0315%18 Jun →
cache11–13-0.0616%17 Jun →
inferno7–13-0.0312%17 Jun →
nuke4–13-0.0719%17 Jun →
anubis2–13-0.093%17 Jun →
anubis13–9-0.0129%16 Jun →
ancient13–100.0243%16 Jun →
mirage13–9-0.0419%16 Jun →
dust213–40.0429%16 Jun →
dust23–11-0.0250%16 Jun →
anubis3–130.0121%16 Jun →
overpass10–130.0217%15 Jun →
ancient13–10-0.0139%15 Jun →
nuke13–6-0.0312%15 Jun →
dust211–13-0.0022%15 Jun →
inferno6–9-0.0426%15 Jun →
inferno16–140.0431%15 Jun →
inferno8–13-0.0720%15 Jun →
dust29–13-0.0119%15 Jun →
ancient13–4-0.0525%14 Jun →
mirage15–15-0.0714%14 Jun →
anubis13–8-0.0324%14 Jun →
overpass8–130.0014%14 Jun →
inferno9–130.0111%14 Jun →

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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