SL0g3

SL0g3 — CS2 Stats

76561199475899743[U:1:1515634015]Steam profile ↗✓ No bans

943Tracked matches45%Win rate2023Tracked since
CSDB Rating6.1 SolidClutch Specialist
Premier CS Rating12,937Blue band · top ~39.3% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 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: 12,937 -3,559 16 Jul – 14 Nov · 38 days played
11,71216,867peak 16,86716 Jul14 Nov
16,979Peak Premier in tracked matches
50Days played since 2026-07-10

Premier CS Rating

  • 3,930 below peak (16,867)
  • -263 over 30 days · steady
  • Next: Purple band at 15,000 — 2,063 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.

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CSDB.GGSL0g3PREMIER12,937 · Blue bandcsdb.gg/stats

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Performance scores

Aim80
Positioning61
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY41–58–1Last 10041%Win rateWWWLWWLLLW

Last 10 vs previous 10: +40pp win rate · −0.02 avg rating · −4.7pp headshot accuracy · +1ms reaction

Win rate up 40pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 761ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 699ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 699ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.7 against its own average).

Aim8.0
Utility5.1
Positioning6.1
Opening Duels4.1
Clutch7.4

Reliable in 1v1s

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

m0NESY

Plays most like m0NESY 89% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; 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. 683ms 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

Aim8.0
Positioning6.1
Utility5.1
Mechanics7.8
Opening Duels5.2
Win Impact3.3

Composite 6.1/10 (Solid), 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 rating0.01+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time677ms−4ms
first ⅓ avg 682ms → last ⅓ avg 677ms
Headshot accuracy25.4%+1.7%
first ⅓ avg 23.8% → last ⅓ avg 25.4%

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

0.24Best match rating · 9–6 · inferno, 2 Nov →
46%Best headshot accuracy · 5–13 · cache, 8 Nov →
406msFastest reaction time · 13–7 · anubis, 25 Oct →
13–1Biggest win · cache, 20 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
5–13In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 63% over 8mirageWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
dust2C2810–1836%-0.01
mirageD154–1127%0.01
nukeC135–838%0.00
infernoB136–746%-0.01
ancientB126–650%-0.00
cacheB105–550%-0.00
anubisA85–363%-0.01
vertigo—10–10%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 15). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

14Matches
64%Win rate
0.97Avg K/D
70.2ADR
56%Headshot %

Clutches & streaks

57%1v1 clutch win
20%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage450%0.8814.3
Dust2367%0.8911.7
Anubis2100%1.3618.5
Nuke2100%1.1815.5
Ancient10%0.6911.0
Overpass10%0.506.0
Inferno1100%1.1515.0

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.

25.8%Headshot accuracy
36.2%Accuracy (enemy spotted)
38.5%Spray accuracy
85.2%Counter-strafing
8.6°Preaim
683msReaction time
56.9%T opening success
45.1%CT opening success
0.63Enemies flashed / flash
6.5%Flash assists
6.71HE damage / grenade
11.34Flashes / match

Recommended for you

Spend your practice time on Mirage

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–80.0834%14 Nov →
ancient13–100.0028%14 Nov →
nuke13–50.0726%14 Nov →
mirage10–13-0.0225%13 Nov →
mirage12–7-0.0117%13 Nov →
anubis13–7-0.0522%13 Nov →
mirage11–130.0420%13 Nov →
anubis5–130.0420%11 Nov →
cache8–13-0.0616%11 Nov →
inferno10–8-0.0628%11 Nov →
mirage8–130.0627%11 Nov →
ancient8–13-0.0124%10 Nov →
dust215–150.0521%10 Nov →
mirage13–50.2324%10 Nov →
ancient11–130.0121%9 Nov →
ancient13–80.0728%9 Nov →
anubis9–13-0.0229%9 Nov →
dust26–13-0.0219%9 Nov →
cache5–13-0.0746%8 Nov →
nuke10–13-0.0244%8 Nov →
cache16–140.0827%8 Nov →
dust23–13-0.0520%8 Nov →
ancient2–13-0.0343%8 Nov →
ancient9–13-0.0123%6 Nov →
inferno13–90.0029%6 Nov →
ancient13–100.0625%6 Nov →
inferno11–130.0029%6 Nov →
dust26–13-0.130%3 Nov →
dust213–20.0129%3 Nov →
dust213–11-0.0327%3 Nov →
dust25–13-0.0921%3 Nov →
inferno9–60.2426%2 Nov →
dust29–130.0923%31 Oct →
ancient10–13-0.0329%31 Oct →
cache13–80.0930%31 Oct →
nuke13–70.0442%31 Oct →
nuke13–50.0222%27 Oct →
anubis13–7-0.0120%25 Oct →
anubis13–60.0222%24 Oct →
dust213–80.0323%23 Oct →
cache3–13-0.094%23 Oct →
dust26–13-0.0319%22 Oct →
inferno11–130.0430%20 Oct →
cache13–10.0331%20 Oct →
cache11–13-0.0712%19 Oct →
nuke12–160.0626%18 Oct →
nuke7–130.0237%16 Oct →
mirage6–130.0439%15 Oct →
anubis11–13-0.0340%14 Oct →
dust22–130.0413%14 Oct →
nuke7–130.0135%14 Oct →
mirage8–13-0.0215%14 Oct →
ancient13–6-0.0426%12 Oct →
nuke8–13-0.0313%12 Oct →
inferno11–13-0.0117%11 Oct →
inferno3–13-0.0526%29 Sept →
nuke8–130.0424%27 Sept →
mirage11–13-0.0129%27 Sept →
mirage10–130.0226%27 Sept →
inferno5–13-0.0846%26 Sept →
dust213–60.0114%26 Sept →
cache11–13-0.0435%25 Sept →
ancient13–10-0.0131%24 Sept →
nuke13–10-0.0138%23 Sept →
inferno13–10-0.0640%22 Sept →
dust213–10-0.0026%16 Sept →
dust213–16-0.0317%14 Sept →
nuke13–10-0.0443%13 Sept →
mirage13–6-0.0128%13 Sept →
dust213–4-0.0415%6 Sept →
dust27–13-0.0233%5 Sept →
inferno13–80.0416%5 Sept →
ancient11–13-0.120%4 Sept →
dust24–13-0.0517%31 Jul →
vertigo3–130.0137%29 Jul →
dust27–13-0.0629%28 Jul →
cache13–70.0321%26 Jul →
mirage14–16-0.0535%26 Jul →
inferno9–13-0.096%26 Jul →
mirage10–13-0.0022%22 Jul →
dust213–30.1124%21 Jul →
inferno1–9-0.1429%19 Jul →
dust29–13-0.0732%17 Jul →
nuke1–13-0.1021%16 Jul →
ancient13–60.0926%16 Jul →
dust24–13-0.0023%16 Jul →
nuke14–16-0.0135%14 Jul →
dust213–6-0.0512%14 Jul →
mirage5–13-0.0126%14 Jul →
anubis13–4-0.0515%13 Jul →
dust25–130.0018%13 Jul →
dust213–110.0430%13 Jul →
dust213–50.0329%12 Jul →
mirage13–7-0.0224%12 Jul →
anubis13–110.0217%12 Jul →
dust28–13-0.0521%12 Jul →
inferno13–100.0328%12 Jul →
dust211–130.0121%12 Jul →
dust25–13-0.0518%11 Jul →
mirage5–13-0.0637%10 Jul →

Match data via Leetify.

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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