Slacky

Slacky — CS2 Stats

76561198106995302[U:1:146729574]Steam profile ↗✓ No bans

361Tracked matches52%Win rate2021Tracked since
682Hours in CS
CSDB Rating3.7 LearningPositional Player
Premier CS Rating13,422Blue band · top ~36.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (15 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: 13,422 +7,200 28 Dec – 25 Sept · 14 days played
6,21314,539peak 14,53928 Dec25 Sept
14,654Peak Premier in tracked matches
39Days played since 2025-12-28

Premier CS Rating

  • 1,117 below peak (14,539)
  • -1,117 over 30 days · declining
  • +3,551 over 90 days
  • Next: Purple band at 15,000 — 1,578 to go
  • Reached: Blue band · Light Blue band

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
Matches4——
Win rate25%——
K/D0.57——
Headshot %56%——

Measured 12 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.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate41.7%42.0%44.3%2.6% short
Shot accuracy12.4%9.6%11.9%above
Kill/death ratio0.930.981.030.11 short
Match win rate42.3%43.8%45.2%2.9% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGSlackyPREMIER13,422 · Blue 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

Aim39
Positioning50
Utility31

0–100 skill scores via Leetify.

Recent form

COLD46–50–4Last 10046%Win rateLLWLLLLWLT

Last 10 vs previous 10: −50pp win rate · −0.05 avg rating · +1.5pp headshot accuracy · −48ms reaction

Win rate down 50pp 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 -0.07
  • Avg headshot accuracy 16%
  • Avg reaction 584ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 624ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 648ms

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 (+2.2 against its own average).

Aim3.9
Utility3.1
Positioning5.0
Opening Duels3.3
Clutch0.0

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

jL

Plays most like jL 78% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 632ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim3.9
Positioning5.0
Utility3.1
Mechanics3.2
Opening Duels2.4
Win Impact5.6

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time646ms+23ms
first ⅓ avg 623ms → last ⅓ avg 646ms
Headshot accuracy15.0%+2.9%
first ⅓ avg 12.1% → last ⅓ avg 15.0%

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

0.09Best match rating · 13–7 · anubis, 30 Jan →
26%Best headshot accuracy · 2–13 · ancient, 5 Sept →
438msFastest reaction time · 13–10 · inferno, 22 Jun →
13–1Biggest win · inferno, 6 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
2–12In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 60% over 15ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB2111–1052%-0.03
infernoB2111–1052%-0.03
anubisA159–660%-0.01
nukeC145–936%-0.01
dust2D124–833%-0.05
ancientD82–625%-0.05
cacheB63–350%-0.00
overpass—20–20%-0.09
vertigo—11–0100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,257Lifetime kills
0.93K/D
2,025Matches
42.3%Match win rate
41.7%Headshot %
12.4%Shot accuracy · Top 50% of Blue band
3,411MVPs
682Hours (in match)
1,409Bombs planted
245Bombs defused

Most-used weapons

AK-474,774
SG 5531,461
FAMAS1,343
MP71,039
AWP973
MP9768

Lifetime map wins

3,646dust2
2,015inferno
1,380nuke
1,100office
805vertigo
246train
51italy
28bank

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

Faceit stats

Combat

4Matches
25%Win rate
0.63Avg K/D
66.9ADR
38%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage250%0.8812.0
Ancient10%0.538.0
Anubis10%0.254.0

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.

15.3%Headshot accuracy
31.1%Accuracy (enemy spotted)
31.8%Spray accuracy
64.5%Counter-strafing
10.1°Preaim
632msReaction time
36.2%T opening success
43.1%CT opening success
0.45Enemies flashed / flash
1.6%Flash assists
9.88HE damage / grenade
1.17Flashes / 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 0.4502 — 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 36.1593% — below the 40% mark we flag

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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage10–13-0.0213%25 Sept →
ancient3–13-0.0721%24 Sept →
inferno13–9-0.1013%24 Sept →
ancient2–13-0.1026%5 Sept →
inferno11–13-0.0510%5 Sept →
anubis7–13-0.0611%5 Sept →
inferno7–13-0.0520%21 Aug →
nuke13–30.0617%21 Aug →
mirage7–13-0.0322%18 Aug →
dust212–12-0.0516%18 Aug →
nuke6–00.0613%18 Aug →
mirage13–10-0.0511%18 Aug →
nuke11–13-0.0323%15 Aug →
anubis13–20.0116%15 Aug →
ancient8–13-0.0814%15 Aug →
inferno13–80.0317%15 Aug →
inferno13–2-0.0213%15 Aug →
anubis13–80.0520%12 Aug →
nuke12–16-0.016%5 Aug →
cache13–110.0320%5 Aug →
ancient11–13-0.038%31 Jul →
inferno13–100.0116%25 Jul →
cache13–90.0413%25 Jul →
nuke10–130.0115%25 Jul →
anubis13–60.0213%25 Jul →
nuke7–13-0.039%11 Jul →
anubis6–10.0215%11 Jul →
inferno13–80.0119%10 Jul →
ancient13–90.0019%9 Jul →
anubis2–130.0220%9 Jul →
nuke11–130.0212%8 Jul →
cache13–60.059%8 Jul →
mirage5–130.038%6 Jul →
mirage13–7-0.018%6 Jul →
dust28–13-0.0610%6 Jul →
anubis11–13-0.048%6 Jul →
mirage13–10-0.026%6 Jul →
dust25–13-0.0824%6 Jul →
inferno13–1-0.0615%6 Jul →
nuke3–130.0217%5 Jul →
mirage13–9-0.1218%5 Jul →
mirage12–16-0.0815%5 Jul →
mirage16–12-0.0017%5 Jul →
dust211–13-0.0826%5 Jul →
dust213–20.0113%5 Jul →
cache12–12-0.057%2 Jul →
inferno11–13-0.058%24 Jun →
mirage13–4-0.078%24 Jun →
inferno9–130.0114%23 Jun →
anubis13–60.017%23 Jun →
cache4–13-0.0312%23 Jun →
inferno8–8-0.0111%23 Jun →
vertigo9–30.033%23 Jun →
anubis11–13-0.1016%22 Jun →
mirage1–13-0.0618%22 Jun →
inferno13–10-0.087%22 Jun →
overpass3–13-0.0713%2 Jun →
anubis7–13-0.0117%22 May →
nuke7–13-0.0312%17 May →
nuke13–60.0516%17 May →
inferno11–13-0.0210%17 May →
cache4–13-0.0618%17 May →
inferno10–13-0.0622%17 May →
dust22–13-0.1019%17 May →
mirage11–13-0.0415%21 Apr →
inferno6–1-0.130%21 Apr →
anubis13–100.0312%12 Apr →
dust29–4-0.0913%12 Apr →
mirage13–50.0310%10 Apr →
dust211–130.0214%10 Apr →
inferno13–60.0113%4 Apr →
inferno9–13-0.0910%7 Feb →
anubis13–2-0.0510%7 Feb →
mirage12–120.0120%7 Feb →
inferno7–13-0.0315%3 Feb →
nuke7–13-0.089%1 Feb →
mirage13–7-0.0212%1 Feb →
dust25–13-0.066%1 Feb →
inferno6–13-0.0714%1 Feb →
anubis13–70.099%30 Jan →
dust28–13-0.0626%30 Jan →
ancient4–13-0.0713%30 Jan →
mirage16–12-0.0213%30 Jan →
ancient13–30.0313%28 Jan →
anubis7–13-0.0213%26 Jan →
mirage6–13-0.0513%26 Jan →
inferno13–7-0.037%25 Jan →
nuke11–13-0.0611%16 Jan →
mirage13–8-0.0614%16 Jan →
mirage9–13-0.1014%16 Jan →
nuke13–11-0.0813%16 Jan →
dust213–30.0316%16 Jan →
inferno13–60.0617%15 Jan →
mirage13–70.0011%15 Jan →
anubis13–7-0.1010%15 Jan →
dust213–7-0.0214%11 Jan →
overpass2–13-0.113%11 Jan →
ancient5–13-0.062%29 Dec →
nuke13–90.0214%29 Dec →
mirage10–13-0.0311%28 Dec →

Match data via Leetify.

Recent teammates

Milestones

100 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.