sLg|Phill

sLg|Phill — CS2 Stats

DE76561198314252759[U:1:353987031]Steam profile ↗✓ No bans

922Tracked matches64%Win rate2020Tracked since
2,897Hours in CS13Hrs last 2 wks
CSDB Rating6.4 SolidAll-Rounder
Premier CS Rating18,890Top 50% of 212,133 CSDB-tracked playersPurple band · top ~12.9% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−116Premier CS Rating · 19,006 → 18,890

Rating over time

Premier CS Rating: 18,890 -1,020 21 Aug – 1 Nov · 16 days played
18,89019,910peak 19,91021 Aug1 Nov
19,999Peak Premier in tracked matches
34Days played since 2026-08-11

Premier CS Rating

  • 1,020 below peak (19,910)
  • -64 over 30 days · steady
  • Next: Pink band at 20,000 — 1,110 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-31
  • Blue band first seen 2026-08-31

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

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate41.3%42.7%43.8%2.4% short
Shot accuracy14.8%11.2%12.0%above
Kill/death ratio0.930.991.020.09 short
Match win rate37.9%43.9%44.7%6.8% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGsLg|PhillFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER18,890 · Purple 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

Aim66
Positioning61
Utility48

0–100 skill scores via Leetify.

Recent form

HOT45–47–8Last 10045%Win rateLWLTWWWWWW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +2.4pp headshot accuracy · −65ms reaction

Win rate 0pp 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 -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 516ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 542ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • 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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.6
Utility4.8
Positioning6.1
Opening Duels5.3
Clutch6.0

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

s1mple

Plays most like s1mple 84% 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

Strengths

T openings. 72% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 72% on T to 55% on CT — first contacts on the defending side are being lost.

Reaction time. 569ms 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

Aim6.6
Positioning6.1
Utility4.8
Mechanics4.7
Opening Duels8.2
Win Impact9.8

Composite 6.4/10 (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-0.00+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time565ms+29ms
first ⅓ avg 537ms → last ⅓ avg 565ms
Headshot accuracy18.2%+1.9%
first ⅓ avg 16.3% → last ⅓ avg 18.2%

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

0.14Best match rating · 9–5 · inferno, 17 Sept →
50%Best headshot accuracy · 0–5 · mirage, 24 Aug →
383msFastest reaction time · 0–5 · mirage, 24 Aug →
13–1Biggest win · dust2, 16 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
9–3In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 60% over 5nukeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B4420–2445%-0.01
cacheC135–838%0.02
infernoB136–746%0.04
mirageC104–640%-0.02
anubisA53–260%-0.02
vertigoC52–340%-0.01
nukeD51–420%-0.02
ancient—32–167%0.01
office—11–0100%-0.01
train—11–0100%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

91,008Lifetime kills
0.93K/D
5,060Matches
37.9%Match win rate
41.3%Headshot %
14.8%Shot accuracy · Top 50% of Level 4 players
10,615MVPs
1,611Hours (in match)
2,460Bombs planted
754Bombs defused

Most-used weapons

AK-4721,664
AWP15,934
SSG 082,335
AUG1,977
P901,960
XM10141,800

Lifetime map wins

16,200dust2
2,906inferno
2,106nuke
980cbble
931vertigo
239office
209train
174lake

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

Faceit stats

Combat

220Matches
50%Win rate
0.88Avg K/D
72.2ADR
39%Headshot %

Clutches & streaks

50%1v1 clutch win
29%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2650%1.0014.0
Inferno2100%0.6814.5
Mirage250%1.2817.0
Cache1100%1.9019.0
Anubis10%0.5910.0
Ancient1100%1.5614.0

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.

18.8%Headshot accuracy
34.4%Accuracy (enemy spotted)
36.3%Spray accuracy
71.3%Counter-strafing
9.4°Preaim
569msReaction time
71.6%T opening success
55.3%CT opening success
0.63Enemies flashed / flash
9.4%Flash assists
7.19HE damage / grenade
3.83Flashes / 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 3.8306 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–130.0431%1 Nov →
anubis13–6-0.0210%1 Nov →
cache5–13-0.0225%1 Nov →
vertigo12–12-0.0413%31 Oct →
office13–9-0.0112%31 Oct →
mirage13–11-0.0126%31 Oct →
dust216–14-0.0128%31 Oct →
inferno9–50.0512%31 Oct →
dust213–70.0228%25 Oct →
dust213–70.0110%25 Oct →
dust213–90.0118%24 Oct →
dust211–3-0.0311%24 Oct →
dust26–13-0.126%24 Oct →
dust213–90.0015%24 Oct →
dust213–80.0328%24 Oct →
dust213–11-0.0114%24 Oct →
dust213–50.0518%23 Oct →
dust210–13-0.0417%23 Oct →
dust213–8-0.0622%23 Oct →
dust24–130.0021%23 Oct →
cache13–70.0716%18 Oct →
dust213–70.0417%16 Oct →
dust213–10.0325%16 Oct →
dust26–13-0.0321%2 Oct →
dust26–13-0.0432%29 Sept →
cache6–13-0.0715%29 Sept →
dust29–13-0.0314%27 Sept →
dust212–120.0916%27 Sept →
vertigo13–100.0120%27 Sept →
ancient13–60.0217%24 Sept →
dust27–130.0215%24 Sept →
vertigo9–13-0.0518%23 Sept →
mirage8–13-0.0212%22 Sept →
cache16–13-0.0114%22 Sept →
mirage13–60.0717%22 Sept →
dust212–12-0.0319%22 Sept →
inferno6–90.0711%17 Sept →
inferno3–90.0123%17 Sept →
inferno7–90.1123%17 Sept →
inferno3–90.0028%17 Sept →
inferno9–50.1417%17 Sept →
inferno6–90.064%17 Sept →
inferno9–70.1210%17 Sept →
anubis4–130.0625%15 Sept →
mirage6–13-0.0118%15 Sept →
cache4–130.0313%14 Sept →
dust26–130.0229%10 Sept →
cache12–120.0418%10 Sept →
vertigo13–50.0820%10 Sept →
inferno13–90.0519%9 Sept →
nuke7–13-0.0327%9 Sept →
dust25–13-0.0712%8 Sept →
dust213–8-0.0410%8 Sept →
dust29–130.0219%8 Sept →
inferno3–13-0.0130%8 Sept →
cache5–13-0.0422%7 Sept →
dust24–13-0.0515%7 Sept →
mirage13–90.0213%6 Sept →
cache3–13-0.007%6 Sept →
train13–10-0.0317%6 Sept →
dust216–14-0.0215%1 Sept →
mirage11–13-0.0517%1 Sept →
dust213–5-0.0217%31 Aug →
inferno11–130.028%31 Aug →
dust213–7-0.0510%30 Aug →
cache13–3-0.0021%30 Aug →
nuke10–13-0.0322%30 Aug →
mirage3–13-0.107%30 Aug →
dust24–130.0414%30 Aug →
dust212–16-0.1113%29 Aug →
nuke13–90.0125%29 Aug →
cache12–120.0725%26 Aug →
cache8–13-0.0018%26 Aug →
dust212–12-0.0237%26 Aug →
dust20–13-0.057%25 Aug →
dust27–13-0.058%24 Aug →
mirage0–5-0.0650%24 Aug →
dust210–13-0.0215%24 Aug →
mirage13–9-0.0411%24 Aug →
vertigo8–13-0.0521%22 Aug →
dust212–120.0021%22 Aug →
anubis16–13-0.0916%21 Aug →
ancient12–16-0.0410%21 Aug →
anubis13–11-0.0514%21 Aug →
nuke6–13-0.0419%21 Aug →
dust213–40.0510%21 Aug →
ancient13–10.0512%21 Aug →
inferno16–14-0.0514%21 Aug →
anubis9–13-0.0321%20 Aug →
dust25–13-0.019%20 Aug →
inferno13–10-0.0213%19 Aug →
cache13–40.0816%19 Aug →
dust216–14-0.025%19 Aug →
dust213–10-0.0229%15 Aug →
mirage9–130.0310%15 Aug →
dust24–13-0.043%15 Aug →
nuke15–15-0.0027%15 Aug →
dust216–14-0.069%15 Aug →
cache10–10.069%15 Aug →
dust25–13-0.0422%11 Aug →

Match data via Leetify.

Recent teammates

Milestones

500 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.