sl1n

sl1n — CS2 Stats

DE76561198390907653[U:1:430641925]Steam profile ↗✓ No bans

2,213Tracked matches37%Win rate2020Tracked since
CSDB Rating5.9 SolidSupport
Premier CS Rating17,560Purple band · top ~18.2% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (10 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: 17,560 -1,067 4 Aug – 24 Oct · 14 days played
17,56019,802peak 19,8024 Aug24 Oct
19,802Peak Premier in tracked matches
46Days played since 2026-07-28

Premier CS Rating

  • 2,242 below peak (19,802)
  • -1,067 over 90 days
  • Next: Pink band at 20,000 — 2,440 to go
  • Reached: Purple band · Blue band · Light 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.GGsl1nFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER17,560 · Purple bandcsdb.gg/stats

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Performance scores

Aim77
Positioning51
Utility55

0–100 skill scores via Leetify.

Recent form

COLD47–50–3Last 10047%Win rateLWWLLLLLLL

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · +2.6pp headshot accuracy · −28ms reaction

Win rate down 40pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 564ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 575ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 589ms

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 (+1.3 against its own average).

Aim7.7
Utility5.5
Positioning5.1
Opening Duels2.3
Clutch3.8

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

NiKo

Plays most like NiKo 93% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; 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

Reaction time. 586ms 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

Aim7.7
Positioning5.1
Utility5.5
Mechanics8.3
Opening Duels4.6
Win Impact0.6

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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time584ms−54ms
first ⅓ avg 639ms → last ⅓ avg 584ms
Headshot accuracy18.5%+2.2%
first ⅓ avg 16.3% → 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 · 13–8 · dust2, 13 Oct →
35%Best headshot accuracy · 13–6 · dust2, 4 Sept →
406msFastest reaction time · 11–13 · ancient, 30 Oct →
13–1Biggest win · nuke, 4 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
12–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 64% over 11ancientWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B6128–3346%-0.00
ancientC135–838%-0.02
cacheA117–464%0.00
anubisC73–443%-0.02
nuke—32–167%-0.01
overpass—21–150%0.04
mirage—10–10%-0.09
inferno—11–0100%0.03
vertigo—10–10%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

160Matches
51%Win rate
0.92Avg K/D
72.7ADR
46%Headshot %

Clutches & streaks

39%1v1 clutch win
13%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust26952%0.9614.4
Anubis2945%0.9114.2
Ancient2962%0.9414.2
Cache1250%0.8915.8
Nuke1136%0.7513.4
Inferno650%0.8311.7
Mirage450%0.9916.3

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.

19.1%Headshot accuracy
32.4%Accuracy (enemy spotted)
33.4%Spray accuracy
87.2%Counter-strafing
7.4°Preaim
586msReaction time
48.4%T opening success
48.0%CT opening success
0.67Enemies flashed / flash
5.9%Flash assists
14.27HE damage / grenade
3.68Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.6755 — below the 4 mark we flag

    Grenade Lineups →
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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient11–13-0.0417%30 Oct →
dust213–110.0526%30 Oct →
dust213–7-0.0520%29 Oct →
dust211–130.0320%29 Oct →
ancient10–13-0.079%25 Oct →
dust25–13-0.0129%24 Oct →
mirage7–13-0.0923%24 Oct →
dust210–13-0.0432%24 Oct →
dust26–130.0512%23 Oct →
nuke4–13-0.0624%20 Oct →
dust26–13-0.0421%18 Oct →
dust213–80.1515%13 Oct →
cache13–10-0.0228%11 Oct →
dust23–13-0.079%11 Oct →
dust216–140.0120%11 Oct →
cache13–8-0.0323%10 Oct →
dust211–130.0117%10 Oct →
nuke16–13-0.0026%10 Oct →
cache10–130.0110%9 Oct →
ancient13–90.0116%9 Oct →
dust23–60.0717%3 Oct →
cache10–13-0.0512%2 Oct →
dust24–130.0029%1 Oct →
dust213–8-0.0811%1 Oct →
dust213–80.0910%1 Oct →
dust213–70.0115%28 Sept →
dust28–13-0.059%27 Sept →
dust29–13-0.0422%27 Sept →
dust210–13-0.0629%27 Sept →
dust28–13-0.0220%26 Sept →
ancient13–10-0.038%26 Sept →
dust210–13-0.0218%26 Sept →
dust213–9-0.0917%26 Sept →
dust213–9-0.0019%26 Sept →
dust213–8-0.0111%21 Sept →
dust26–13-0.077%21 Sept →
dust26–13-0.0223%21 Sept →
dust213–70.0824%17 Sept →
dust20–13-0.0033%17 Sept →
dust213–70.0424%17 Sept →
dust22–13-0.0619%12 Sept →
dust213–110.0121%12 Sept →
dust213–11-0.0619%12 Sept →
dust211–13-0.0315%12 Sept →
dust29–13-0.0219%11 Sept →
dust24–13-0.0514%11 Sept →
cache13–10-0.0118%9 Sept →
ancient1–70.0633%7 Sept →
ancient5–13-0.0419%6 Sept →
ancient10–130.0418%6 Sept →
dust213–70.0425%6 Sept →
dust214–16-0.0123%4 Sept →
dust23–13-0.104%4 Sept →
dust213–60.0235%4 Sept →
dust22–13-0.0712%31 Aug →
dust213–7-0.046%30 Aug →
anubis13–80.0225%30 Aug →
inferno13–50.0313%28 Aug →
dust213–60.0726%27 Aug →
dust213–20.0224%27 Aug →
dust212–120.0718%25 Aug →
dust213–10-0.0115%24 Aug →
dust27–13-0.0729%24 Aug →
dust25–13-0.0013%20 Aug →
dust213–100.0113%17 Aug →
anubis7–130.0118%17 Aug →
overpass8–8-0.0013%16 Aug →
dust22–13-0.0017%16 Aug →
dust211–130.0528%16 Aug →
ancient16–14-0.0214%16 Aug →
overpass9–00.0811%9 Aug →
vertigo7–9-0.0710%9 Aug →
anubis10–13-0.0313%9 Aug →
dust213–11-0.0224%9 Aug →
ancient1–13-0.045%8 Aug →
cache13–10-0.0021%8 Aug →
ancient13–70.0417%7 Aug →
dust28–13-0.0322%7 Aug →
dust213–30.0421%6 Aug →
cache13–110.0416%6 Aug →
cache13–60.0118%6 Aug →
dust211–130.0211%6 Aug →
dust213–60.0312%5 Aug →
anubis4–13-0.0418%4 Aug →
nuke13–10.047%4 Aug →
cache16–14-0.0116%2 Aug →
ancient13–11-0.0128%2 Aug →
ancient2–13-0.0527%2 Aug →
dust210–130.0019%2 Aug →
dust213–60.0221%2 Aug →
anubis13–11-0.0121%2 Aug →
dust213–70.0520%2 Aug →
cache8–130.0817%1 Aug →
anubis9–13-0.044%1 Aug →
dust213–10-0.0511%31 Jul →
anubis16–14-0.0315%31 Jul →
dust213–11-0.0119%30 Jul →
cache15–150.0214%30 Jul →
ancient29–31-0.088%29 Jul →
dust27–13-0.0114%28 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 →

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