sly

sly — CS2 Stats

76561197962003301[U:1:1737573]Steam profile ↗✓ No bans

4,067Tracked matches60%Win rate2020Tracked since
CSDB Rating6.8 SolidOpening Duellist
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 4,067 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 70 days played since 4 Mar 2024. Come back after the next session and the change shows above.

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Rating over time

70Days played since 2024-03-04

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGslyFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim81
Positioning73
Utility14

0–100 skill scores via Leetify.

Recent form

HOT5941Last 10059%Win rateLWWWLWWLWW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −1.5pp headshot accuracy · +48ms reaction

Win rate +10pp 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

  • 32 · 60% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 32%
  • Avg reaction 574ms

Last 10

  • 73 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 572ms

Last 20

  • 137 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 28%
  • Avg reaction 548ms

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: Opening DuellistWinning opening duels is what stands out in this profile (+2.9 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim8.1
Utility1.4
Positioning7.3
Opening Duels7.8
Clutch3.0

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

donk

Plays most like donk 64% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower 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

Strengths

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 66% on CT to 44% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 550ms 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

Aim8.1
Positioning7.3
Utility1.4
Mechanics8.2
Opening Duels6.2
Win Impact8.3

Composite 6.8/10 (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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time560ms+21ms
first ⅓ avg 539ms → last ⅓ avg 560ms
Headshot accuracy28.3%+1.7%
first ⅓ avg 26.6% → last ⅓ avg 28.3%

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

0.18Best match rating · 13–7 · cache, 31 May
46%Best headshot accuracy · 13–8 · dust2, 27 Apr
367msFastest reaction time · 5–13 · inferno, 17 Apr
13–1Biggest win · dust2, 25 Oct

Across the last 100 tracked matches.

Highlights

12Longest win streak
107In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 75% over 8nukeWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
ancientA28161257%0.01
anubisA1811761%0.02
mirageS1510567%0.04
dust2S86275%0.02
vertigoC73443%0.01
overpassS64267%-0.01
nukeC52340%-0.04
train43175%0.03
inferno4040%-0.07
cache21150%0.12
palacio110100%0.09
edin110100%0.02
italy110100%0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

9,260Matches
56%Win rate
1.16Avg K/D
90.2ADR
59%Headshot %

Clutches & streaks

35%1v1 clutch win
24%1v2 clutch win
17Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient45952%1.1318.5
Mirage43652%1.1118.2
Anubis36051%1.0817.1
Dust215654%1.1019.2
Nuke13261%1.1517.4
Overpass11659%1.2118.6
Vertigo7249%1.0617.2
Inferno3650%1.2018.3

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.

27.1%Headshot accuracy
31.6%Accuracy (enemy spotted)
34.1%Spray accuracy
87.1%Counter-strafing
10.0°Preaim
550msReaction time
43.5%T opening success
66.4%CT opening success
0.31Enemies flashed / flash
3.2%Flash assists
7.90HE damage / grenade
3.58Flashes / 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 0.3111 — below the 0.5 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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
cache9–130.0537%21 Jul
mirage13–60.1327%13 Jun
ancient16–130.0031%8 Jun
cache13–70.1836%31 May
overpass9–13-0.0128%11 May
nuke13–8-0.0816%2 May
overpass13–8-0.0218%28 Apr
ancient7–13-0.0433%26 Apr
overpass13–70.0421%28 Mar
dust213–5-0.0527%27 Mar
dust29–13-0.0338%19 Mar
palacio13–40.0940%9 Dec
dust213–10.0427%25 Oct
nuke5–13-0.0237%29 Jul
mirage13–80.0621%5 Jul
ancient16–140.1134%5 Jul
mirage13–110.0127%16 Jun
anubis9–13-0.0220%21 May
mirage16–13-0.0120%21 May
ancient11–13-0.0125%21 May
ancient10–130.0326%20 May
anubis7–130.0129%11 May
ancient13–7-0.0238%28 Apr
ancient16–12-0.0321%15 Apr
ancient13–5-0.016%12 Apr
mirage8–13-0.0118%26 Mar
train8–13-0.0124%22 Mar
ancient11–13-0.0221%17 Mar
dust213–40.0634%8 Mar
anubis13–8-0.0036%23 Feb
train13–50.0945%23 Feb
mirage13–40.1530%4 Feb
edin13–10.0243%21 Nov
train13–60.0240%21 Nov
train13–90.0427%20 Nov
ancient13–40.0038%12 Nov
mirage13–50.0832%9 Oct
anubis13–40.1539%4 Oct
mirage13–40.0835%3 Oct
italy13–10.0726%3 Oct
ancient9–13-0.0138%28 Sept
mirage12–160.0840%13 Sept
mirage16–12-0.0129%13 Sept
anubis11–13-0.0325%12 Sept
ancient13–110.0531%11 Sept
mirage5–13-0.0130%7 Sept
nuke16–12-0.0321%5 Aug
dust213–50.0625%26 Jul
inferno10–13-0.0039%17 Jul
anubis13–10.1420%1 Jul
nuke4–13-0.0721%20 Jun
ancient13–90.0123%15 May
ancient13–7-0.0129%7 May
ancient11–13-0.0131%7 May
dust29–130.0427%7 May
ancient13–50.0124%7 May
ancient9–120.0418%7 May
anubis13–70.0317%7 May
anubis13–70.0523%6 May
anubis9–13-0.0414%3 May
anubis2–13-0.0831%3 May
vertigo11–130.0329%2 May
ancient9–13-0.0231%1 May
overpass10–13-0.0528%29 Apr
dust219–17-0.0126%28 Apr
dust213–80.0346%27 Apr
mirage13–20.1130%27 Apr
anubis13–5-0.0035%26 Apr
anubis19–160.0430%26 Apr
vertigo13–110.0339%25 Apr
overpass13–70.0322%24 Apr
ancient9–130.0427%24 Apr
ancient11–13-0.0429%22 Apr
vertigo13–80.0216%18 Apr
vertigo9–13-0.0321%18 Apr
inferno5–13-0.0430%17 Apr
vertigo13–50.0619%17 Apr
vertigo8–13-0.0620%17 Apr
ancient16–130.0623%16 Apr
anubis13–11-0.0030%15 Apr
ancient13–110.0717%15 Apr
overpass13–9-0.0223%15 Apr
anubis17–19-0.0128%12 Apr
inferno0–9-0.229%9 Apr
mirage10–130.0336%2 Apr
ancient13–6-0.0230%10 Mar
ancient13–30.0725%10 Mar
anubis13–110.0729%10 Mar
ancient19–170.0125%9 Mar
mirage13–5-0.0231%9 Mar
anubis13–90.0330%9 Mar
mirage3–13-0.0429%9 Mar
ancient7–130.0332%9 Mar
nuke9–13-0.0129%7 Mar
ancient13–11-0.0124%7 Mar
anubis16–120.0623%6 Mar
inferno7–130.0031%6 Mar
anubis5–13-0.0425%5 Mar
ancient8–130.0130%4 Mar
vertigo2–13-0.0232%4 Mar

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →