Slater

Slater — CS2 Stats

DE76561198025224261[U:1:64958533]Steam profile ↗✓ No bans

1,012Tracked matches62%Win rate2020Tracked since
CSDB Rating7.5 StrongSupport
Premier CS Rating23,941Top 25% of 213,211 CSDB-tracked playersPink band · top ~4.2% of ranked players (population est.)
CSDB Leaderboard#33137 of 259893 tracked
FaceitLevel 8 · 1,739 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (yesterday). 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: 23,941 -3,377 30 May – 3 Nov · 20 days played
21,51429,059peak 29,05930 May3 Nov
29,059Peak Premier in tracked matches
1,739Highest Faceit ELO seen on CSDB
33Days played since 2026-05-30

Faceit ELO

  • At peak — 1,739
  • Next: Level 9 at 1,751 — 12 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

Premier CS Rating

  • 5,118 below peak (29,059)
  • +2,427 over 30 days · improving
  • Next: Red band at 25,000 — 1,059 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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

Share this profile

CSDB.GGSlaterFACEITLevel 8 · 1,739 ELOSTANDINGTop 31.2% of rankedPREMIER23,941 · Pink bandPEAK ELO1,739csdb.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

Aim84
Positioning63
Utility64

0–100 skill scores via Leetify.

Recent form

HOT55–43–2Last 10055%Win rateWTWWWWWWWW

Last 10 vs previous 10: +50pp win rate · +0.04 avg rating · +2.8pp headshot accuracy · −27ms reaction

Win rate up 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

  • 4–0–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 611ms

Last 10

  • 9–0–1 · 90% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 592ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 605ms

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 (+1.6 against its own average).

Aim8.4
Utility6.4
Positioning6.3
Opening Duels2.2
Clutch4.2

Strong CT-side opener

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

b1t

Plays most like b1t 87% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 591ms 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

Aim8.4
Positioning6.3
Utility6.4
Mechanics8.2
Opening Duels4.7
Win Impact9.0

Composite 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time593ms−53ms
first ⅓ avg 646ms → last ⅓ avg 593ms
Headshot accuracy18.5%+1.4%
first ⅓ avg 17.0% → last ⅓ avg 18.5%

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

0.15Best match rating · 13–6 · dust2, 23 Aug →
100%Best headshot accuracy · 7–3 · rush_001, 2 Oct →
438msFastest reaction time · 5–13 · inferno, 10 Oct →
13–2Biggest win · cache, 4 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
11–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 71% over 17infernoWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A1811–761%0.01
cacheS1712–571%-0.02
anubisB158–753%0.01
nukeB126–650%-0.02
mirageB126–650%-0.02
ancientB115–645%-0.02
infernoC94–544%-0.01
train—31–233%-0.00
overpass—21–150%-0.01
rush_001—11–0100%-0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

398Matches
54%Win rate
1.09Avg K/D
73.9ADR
44%Headshot %

Clutches & streaks

41%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient2962%1.2016.6
Anubis2564%1.1014.2
Inferno2035%0.8614.0
Nuke1844%1.0716.7
Dust21656%1.1014.1
Mirage1464%0.9713.8
Cache425%1.0513.3
Train333%0.528.0

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.

18.9%Headshot accuracy
37.7%Accuracy (enemy spotted)
43.7%Spray accuracy
87.0%Counter-strafing
8.9°Preaim
591msReaction time
49.7%T opening success
47.9%CT opening success
0.59Enemies flashed / flash
6.3%Flash assists
7.99HE damage / grenade
12.38Flashes / match

Recommended for you

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.

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–90.0129%3 Nov →
nuke15–150.0014%3 Nov →
dust213–11-0.0327%3 Nov →
anubis13–6-0.0221%28 Oct →
nuke13–9-0.0222%28 Oct →
dust213–60.0633%25 Oct →
mirage13–11-0.0110%24 Oct →
cache13–70.0727%24 Oct →
cache13–10-0.0217%24 Oct →
mirage13–80.0411%19 Oct →
mirage6–13-0.0419%18 Oct →
cache6–13-0.0012%18 Oct →
mirage9–13-0.0211%18 Oct →
cache8–13-0.0721%18 Oct →
cache13–11-0.0115%17 Oct →
cache10–13-0.0529%17 Oct →
cache13–9-0.0320%17 Oct →
inferno13–80.0317%11 Oct →
cache13–10-0.0412%11 Oct →
cache2–13-0.0527%11 Oct →
mirage10–13-0.0419%11 Oct →
dust213–16-0.0216%11 Oct →
nuke13–6-0.0714%10 Oct →
anubis16–13-0.0515%10 Oct →
mirage2–13-0.0619%10 Oct →
inferno5–13-0.0829%10 Oct →
mirage13–7-0.069%10 Oct →
inferno9–13-0.0115%10 Oct →
inferno13–8-0.0424%10 Oct →
cache16–140.0422%9 Oct →
nuke10–130.0013%9 Oct →
mirage13–110.0316%9 Oct →
cache13–3-0.035%9 Oct →
nuke13–6-0.0314%9 Oct →
nuke7–130.0125%2 Oct →
inferno14–160.0015%2 Oct →
dust213–10-0.0526%2 Oct →
nuke11–13-0.0614%2 Oct →
rush_0017–3-0.09100%2 Oct →
dust216–120.0218%2 Oct →
mirage8–13-0.0320%2 Oct →
dust213–70.0623%1 Oct →
dust26–130.0115%30 Sept →
dust210–13-0.0219%27 Sept →
cache13–50.0219%27 Sept →
ancient14–160.0618%26 Sept →
cache13–6-0.0125%26 Sept →
anubis6–13-0.0324%26 Sept →
anubis5–130.0123%26 Sept →
anubis11–13-0.0316%19 Sept →
dust213–60.1513%23 Aug →
anubis13–50.0715%23 Aug →
ancient13–100.0417%23 Aug →
anubis5–13-0.0317%23 Aug →
nuke13–110.0439%26 Jul →
anubis13–30.0713%26 Jul →
anubis10–130.0221%26 Jul →
cache6–13-0.049%5 Jul →
cache13–30.0216%4 Jul →
cache13–2-0.0729%4 Jul →
dust213–110.0118%28 Jun →
ancient13–70.017%28 Jun →
nuke13–60.0415%28 Jun →
dust213–50.0521%28 Jun →
anubis15–150.0712%26 Jun →
dust23–13-0.1021%26 Jun →
ancient16–14-0.0413%22 Jun →
dust216–130.0320%21 Jun →
ancient5–13-0.0721%21 Jun →
train13–50.048%21 Jun →
train11–13-0.0223%21 Jun →
train3–7-0.0326%21 Jun →
mirage14–160.0015%20 Jun →
dust213–10-0.0218%20 Jun →
mirage13–80.0119%20 Jun →
overpass13–40.0519%19 Jun →
inferno9–13-0.107%19 Jun →
dust213–16-0.0114%19 Jun →
ancient11–13-0.0718%19 Jun →
anubis6–13-0.0516%19 Jun →
anubis13–40.0911%17 Jun →
anubis13–11-0.037%16 Jun →
dust29–13-0.0524%14 Jun →
nuke13–60.0413%14 Jun →
ancient8–13-0.0319%14 Jun →
anubis13–100.0112%14 Jun →
inferno4–40.037%14 Jun →
ancient2–13-0.0513%14 Jun →
mirage13–8-0.0126%13 Jun →
inferno8–130.0519%13 Jun →
nuke7–13-0.0738%4 Jun →
ancient13–80.0010%4 Jun →
ancient10–13-0.0024%4 Jun →
cache13–8-0.058%4 Jun →
dust27–13-0.0119%31 May →
ancient13–3-0.0113%31 May →
overpass8–13-0.0733%31 May →
anubis13–11-0.0313%30 May →
nuke5–13-0.148%30 May →
inferno13–40.0623%30 May →

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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