Slaycie

Slaycie — CS2 Stats

TZ76561198864969120[U:1:904703392]Steam profile ↗✓ No bans

1,533Tracked matches27%Win rate2020Tracked since
979Hours in CS
CSDB Rating2.7 LearningSupport
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

+20Tracked matches · now 1,533
−14.8ppWin rate · 41.7% → 26.9%

Rating over time

39Days played since 2026-07-21

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches33——
Win rate24%——
K/D0.60——
Headshot %35%——

Measured 7 Sep 2026 → 8 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.

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=5,923), 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 2 medianLevel 3 medianvs Level 3
Headshot rate39.2%41.3%41.8%2.6% short
Shot accuracy13.8%12.7%12.2%above
Kill/death ratio0.730.950.980.25 short
Match win rate33.6%42.6%43.3%9.7% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSlaycieFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.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

Aim26
Positioning40
Utility50

0–100 skill scores via Leetify.

Recent form

COLD28–54–18Last 10028%Win rateLLLLWWTWLL

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · −0.7pp headshot accuracy · −63ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 13%
  • Avg reaction 598ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 606ms

Last 20

  • 4–14–2 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 638ms

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 (+2 against its own average).

Aim2.6
Utility5.0
Positioning4.0
Opening Duels0.1

Effective flashesLimited 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

NiKo

Plays most like NiKo 56% 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 →

Strengths & areas to improve

Areas to improve

CT openings. Opening success drops from 54% on T to 31% on CT — first contacts on the defending side are being lost.

Reaction time. 638ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 53% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.6
Positioning4.0
Utility5.0
Mechanics0.6
Opening Duels3.2
Win Impact0.0

Composite 2.7/10 (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 time633ms+24ms
first ⅓ avg 609ms → last ⅓ avg 633ms
Headshot accuracy12.5%+1.0%
first ⅓ avg 11.5% → last ⅓ avg 12.5%

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 · 13–1 · dust2, 13 Sept →
50%Best headshot accuracy · 5–13 · dust2, 1 Aug →
367msFastest reaction time · 2–1 · dust2, 24 Jul →
13–1Biggest win · dust2, 13 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L4Current streak
8–4In matches decided by ≤2 rounds

Map breakdown

Strongest and weakest map need 5+ matches on two different maps — 1 of 3 maps qualify so far.

MapGradePlayedRecordWin rateAvg rating
dust2D9727–7028%-0.04
inferno—21–150%-0.08
cache—10–10%-0.02

Across the last 100 tracked matches.

Lifetime stats

35,750Lifetime kills
0.73K/D
2,532Matches
33.6%Match win rate
39.2%Headshot %
13.8%Shot accuracy · Top 50% of Level 2 players
3,044MVPs
979Hours (in match)
1,942Bombs planted
334Bombs defused

Most-used weapons

AWP5,087
AK-475,082
P2501,243
SG 5531,210
AUG1,207
XM10141,188

Lifetime map wins

21,147dust2
435inferno
193nuke
84vertigo
48italy
42train
19office
14safehouse

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.

12.2%Headshot accuracy
28.4%Accuracy (enemy spotted)
27.8%Spray accuracy
52.6%Counter-strafing
8.0°Preaim
638msReaction time
54.5%T opening success
31.4%CT opening success
0.74Enemies flashed / flash
0.9%Flash assists
6.27HE damage / grenade
4.72Flashes / 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 12.2307% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 31.3725% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0524%6 Oct →
dust28–13-0.090%5 Oct →
dust29–13-0.0213%5 Oct →
inferno6–13-0.098%5 Oct →
dust213–9-0.0719%4 Oct →
dust213–50.0213%4 Oct →
dust212–12-0.0311%4 Oct →
inferno13–11-0.065%3 Oct →
dust211–13-0.0415%2 Oct →
dust28–13-0.0814%1 Oct →
dust210–13-0.0719%28 Sept →
dust26–13-0.0410%28 Sept →
dust22–13-0.0625%27 Sept →
dust25–13-0.0811%27 Sept →
dust25–13-0.063%27 Sept →
dust212–12-0.0210%27 Sept →
dust213–60.0414%27 Sept →
dust28–13-0.0210%27 Sept →
dust25–130.0115%25 Sept →
dust27–130.0213%25 Sept →
dust29–13-0.067%16 Sept →
dust210–13-0.040%16 Sept →
dust25–13-0.0214%14 Sept →
dust25–13-0.0414%14 Sept →
dust212–12-0.0719%13 Sept →
dust213–10.1217%13 Sept →
dust213–10-0.0415%13 Sept →
dust211–13-0.0312%13 Sept →
dust213–8-0.0318%12 Sept →
dust212–12-0.064%12 Sept →
dust213–6-0.0711%12 Sept →
dust210–13-0.0218%12 Sept →
dust213–4-0.0713%1 Sept →
dust213–8-0.057%1 Sept →
dust210–13-0.1212%31 Aug →
dust27–13-0.0817%31 Aug →
dust212–12-0.0410%31 Aug →
dust22–2-0.0125%31 Aug →
dust211–13-0.0120%24 Aug →
dust26–13-0.055%23 Aug →
dust212–120.0112%22 Aug →
dust212–12-0.056%22 Aug →
dust25–13-0.0719%20 Aug →
dust26–13-0.0712%20 Aug →
dust29–130.0316%17 Aug →
dust212–12-0.0613%17 Aug →
dust213–8-0.0610%17 Aug →
dust213–8-0.1011%17 Aug →
dust213–9-0.016%14 Aug →
cache6–13-0.0214%14 Aug →
dust213–11-0.0516%12 Aug →
dust22–13-0.084%12 Aug →
dust212–12-0.0818%11 Aug →
dust213–4-0.040%10 Aug →
dust213–10-0.0123%10 Aug →
dust213–9-0.0513%10 Aug →
dust29–13-0.057%9 Aug →
dust210–13-0.0413%9 Aug →
dust213–6-0.0120%9 Aug →
dust212–12-0.0611%8 Aug →
dust213–90.0217%8 Aug →
dust211–13-0.0810%8 Aug →
dust212–12-0.0312%5 Aug →
dust26–13-0.095%5 Aug →
dust212–12-0.0710%4 Aug →
dust212–12-0.057%3 Aug →
dust29–13-0.0511%3 Aug →
dust23–13-0.0810%2 Aug →
dust25–13-0.1550%1 Aug →
dust213–4-0.066%28 Jul →
dust212–12-0.0110%28 Jul →
dust212–12-0.0318%28 Jul →
dust210–130.000%28 Jul →
dust26–13-0.145%28 Jul →
dust26–13-0.0719%28 Jul →
dust212–120.0110%27 Jul →
dust213–10-0.0511%27 Jul →
dust22–90.000%26 Jul →
dust25–13-0.0511%26 Jul →
dust212–12-0.0014%25 Jul →
dust213–11-0.068%25 Jul →
dust213–11-0.0730%24 Jul →
dust26–13-0.0312%24 Jul →
dust25–130.0315%24 Jul →
dust23–13-0.0612%24 Jul →
dust22–1-0.070%24 Jul →
dust20–13-0.0612%24 Jul →
dust27–130.0218%23 Jul →
dust26–13-0.0619%23 Jul →
dust212–120.0115%23 Jul →
dust26–13-0.120%23 Jul →
dust22–6-0.100%22 Jul →
dust212–00.020%22 Jul →
dust213–11-0.0512%22 Jul →
dust213–110.0115%22 Jul →
dust25–13-0.0716%22 Jul →
dust23–13-0.096%21 Jul →
dust28–13-0.0211%21 Jul →
dust210–13-0.139%21 Jul →
dust26–13-0.059%21 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 →

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