Snilf

Snilf — CS2 Stats

PM76561198070427509[U:1:110161781]Steam profile ↗✓ No bans

2,667Tracked matches67%Win rate2020Tracked since
3,608Hours in CS0Hrs last 2 wks
CSDB Rating6.0 SolidSupport
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (33 days ago). Ranks are recorded once per day this page is viewed.

+3Tracked matches · now 2,667
+10.0ppWin rate · 56.7% → 66.7%

Rating over time

Premier CS Rating: 18,957 -1,150 15 Mar – 5 Jul · 22 days played
17,85721,540peak 21,54015 Mar5 Jul
21,540Peak Premier in tracked matches
37Days played since 2026-03-15

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches59−4
Win rate80%56%+24pp
K/D0.790.86−0.07
Headshot %47%42%+5pp

Measured 23 Sep 2026 → 26 Oct 2026; previous 30 Aug 2026 → 23 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate38.7%46.8%48.2%9.5% short
Shot accuracy13.8%13.0%13.2%above
Kill/death ratio0.861.061.070.21 short
Match win rate39.0%46.3%46.9%8.0% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSnilfFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.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

Aim71
Positioning50
Utility56

0–100 skill scores via Leetify.

Recent form

HOT53–46–1Last 10053%Win rateWWWWLWWLWW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +3.6pp headshot accuracy · −110ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 542ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 520ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 575ms

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 (+1.4 against its own average).

Aim7.1
Utility5.6
Positioning5.0
Opening Duels3.0
Clutch3.0

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

Twistzz

Plays most like Twistzz 95% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim profile.

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

T-side openings. Opening success drops from 54% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 582ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim7.1
Positioning5.0
Utility5.6
Mechanics4.4
Opening Duels3.8
Win Impact10.0

Composite 6.0/10 (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 -0.02 → last ⅓ avg -0.01
Reaction time582ms−2ms
first ⅓ avg 585ms → last ⅓ avg 582ms
Headshot accuracy15.3%+0.1%
first ⅓ avg 15.2% → last ⅓ avg 15.3%

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

0.07Best match rating · 13–5 · overpass, 25 May →
36%Best headshot accuracy · 13–5 · mirage, 28 Jun →
406msFastest reaction time · 4–13 · inferno, 11 Jul →
13–1Biggest win · ancient, 2 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W4Current streak
9–5In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 63% over 8mirageWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
ancientA2816–1257%-0.01
infernoA2212–1055%-0.01
mirageC166–1038%-0.03
dust2A95–456%-0.03
overpassC94–544%-0.01
anubisA85–363%-0.01
nukeA53–260%-0.03
cache—32–167%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 16). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

101,657Lifetime kills
0.86K/D
5,440Matches
39.0%Match win rate
38.7%Headshot %
13.8%Shot accuracy · Top 50% of Level 8 players
9,044MVPs
3,345Hours (in match)
4,083Bombs planted
1,520Bombs defused

Most-used weapons

AK-4725,821
AWP5,534
MAC-102,910
FAMAS2,383
P2502,353
MP92,335

Lifetime map wins

8,126inferno
5,472dust2
2,797train
2,575nuke
1,501vertigo
627cbble
233lake
119office

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

Faceit stats

Combat

362Matches
54%Win rate
0.94Avg K/D
71.5ADR
39%Headshot %

Clutches & streaks

35%1v1 clutch win
13%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage5655%0.8813.0
Ancient5456%0.9213.1
Inferno4959%0.9714.3
Anubis4245%0.9115.0
Dust22850%0.8313.3
Nuke1464%1.1314.1
Overpass1155%0.8713.9
Cache1050%0.7913.9

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.

15.2%Headshot accuracy
37.5%Accuracy (enemy spotted)
44.5%Spray accuracy
69.7%Counter-strafing
9.3°Preaim
582msReaction time
35.8%T opening success
54.3%CT opening success
0.53Enemies flashed / flash
3.2%Flash assists
11.10HE damage / grenade
8.60Flashes / 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. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 35.8277% — below the 40% mark we flag

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.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage16–130.0213%26 Sept →
dust213–9-0.0223%26 Sept →
ancient16–13-0.0412%26 Sept →
dust213–110.0327%5 Sept →
ancient6–13-0.0216%5 Sept →
inferno13–80.0311%24 Aug →
ancient13–4-0.0418%22 Aug →
nuke10–13-0.0313%22 Aug →
inferno13–60.0317%22 Aug →
ancient16–14-0.0117%21 Aug →
ancient13–11-0.0117%19 Aug →
ancient13–6-0.0516%15 Aug →
mirage13–3-0.0720%15 Aug →
cache13–11-0.0310%12 Aug →
ancient13–3-0.0311%11 Aug →
dust27–13-0.036%1 Aug →
ancient16–19-0.0412%28 Jul →
anubis5–13-0.056%28 Jul →
nuke13–7-0.065%26 Jul →
cache13–9-0.0126%26 Jul →
ancient13–80.0528%26 Jul →
mirage13–20.0228%26 Jul →
inferno19–15-0.0019%25 Jul →
inferno4–13-0.0013%11 Jul →
ancient13–110.0419%11 Jul →
mirage5–130.0310%5 Jul →
ancient13–60.0118%4 Jul →
mirage9–13-0.077%4 Jul →
overpass0–13-0.0513%4 Jul →
inferno10–13-0.0410%4 Jul →
overpass13–11-0.0015%3 Jul →
ancient8–13-0.0110%3 Jul →
ancient2–130.0223%1 Jul →
overpass5–13-0.0413%1 Jul →
mirage13–3-0.0719%1 Jul →
inferno13–10-0.017%1 Jul →
anubis7–13-0.0132%1 Jul →
mirage13–50.0036%28 Jun →
ancient6–13-0.0311%28 Jun →
anubis9–13-0.0221%28 Jun →
mirage10–130.0115%28 Jun →
inferno7–13-0.0614%28 Jun →
inferno13–7-0.0114%14 Jun →
mirage9–13-0.0725%14 Jun →
ancient13–8-0.0013%14 Jun →
inferno8–13-0.077%10 Jun →
dust213–80.0113%10 Jun →
ancient13–80.0014%10 Jun →
anubis13–7-0.0021%3 Jun →
overpass9–130.0310%3 Jun →
inferno13–90.017%3 Jun →
overpass13–50.0727%25 May →
ancient8–13-0.028%25 May →
mirage13–40.0328%25 May →
anubis13–90.0319%25 May →
ancient10–13-0.0519%25 May →
inferno13–70.0212%22 May →
dust27–13-0.0620%22 May →
ancient13–8-0.0318%22 May →
inferno13–70.0422%22 May →
mirage5–13-0.099%13 May →
inferno8–130.0513%13 May →
cache7–13-0.0215%13 May →
inferno11–13-0.058%28 Apr →
anubis13–11-0.0410%28 Apr →
overpass13–7-0.0021%28 Apr →
dust213–11-0.0118%27 Apr →
mirage8–13-0.0318%27 Apr →
mirage6–13-0.0421%18 Apr →
ancient13–100.0217%18 Apr →
ancient15–15-0.0220%18 Apr →
dust210–13-0.0718%18 Apr →
nuke13–9-0.066%12 Apr →
inferno16–14-0.019%12 Apr →
mirage8–13-0.0921%8 Apr →
inferno11–13-0.0311%8 Apr →
nuke7–13-0.0416%8 Apr →
ancient8–13-0.0318%8 Apr →
overpass13–60.0422%8 Apr →
nuke13–80.0520%4 Apr →
inferno12–4-0.0212%4 Apr →
ancient13–9-0.0019%4 Apr →
mirage9–13-0.0220%4 Apr →
anubis13–90.0013%2 Apr →
ancient13–1-0.0110%2 Apr →
dust213–8-0.0513%2 Apr →
dust214–16-0.0812%30 Mar →
mirage4–13-0.047%30 Mar →
overpass8–13-0.0914%30 Mar →
ancient13–9-0.0024%30 Mar →
inferno7–13-0.0321%30 Mar →
inferno14–16-0.029%28 Mar →
inferno6–90.009%28 Mar →
ancient2–13-0.080%25 Mar →
overpass11–13-0.0716%25 Mar →
inferno13–70.0216%21 Mar →
ancient13–16-0.0620%21 Mar →
ancient6–130.0612%21 Mar →
anubis13–7-0.0121%15 Mar →
inferno13–9-0.0018%15 Mar →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.