Snail Killer

Snail Killer — CS2 Stats

GB76561198111271919[U:1:151006191]Steam profile ↗✓ No bans

684Tracked matches60%Win rate2020Tracked since
1,023Hours in CS
CSDB Rating6.0 SolidClutch Specialist
Premier CS Rating13,196Blue band · top ~38% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (2 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: 13,196 +4,091 10 Mar – 13 Oct · 54 days played
5,35215,494peak 15,49410 Mar13 Oct
15,494Peak Premier in tracked matches
66Days played since 2026-03-10

Premier CS Rating

  • 2,298 below peak (15,494)
  • -1,804 over 30 days · declining
  • +6,462 over 90 days
  • Next: Purple band at 15,000 — 1,804 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.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,231), 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 3 medianLevel 4 medianvs Level 4
Headshot rate39.2%41.8%42.7%3.5% short
Shot accuracy17.6%12.2%11.3%above
Kill/death ratio0.880.980.990.11 short
Match win rate33.2%43.3%43.9%10.8% short

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

Widest gap: Match win rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSnail KillerFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER13,196 · Blue 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

Aim81
Positioning46
Utility45

0–100 skill scores via Leetify.

Recent form

COLD50–47–3Last 10050%Win rateLLLLLWWWLL

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −5.2pp headshot accuracy · +38ms reaction

Win rate down 30pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 693ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 654ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 635ms

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 (+1.8 against its own average).

Aim8.1
Utility4.5
Positioning4.6
Opening Duels1.7
Clutch6.0

Excellent counter-strafingLimited 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

b1t

Plays most like b1t 93% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution; lower positioning 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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

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

Reaction time. 666ms 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
Positioning4.6
Utility4.5
Mechanics8.7
Opening Duels1.6
Win Impact8.3

Composite 6.0/10 (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+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time664ms−28ms
first ⅓ avg 692ms → last ⅓ avg 664ms
Headshot accuracy21.7%+2.6%
first ⅓ avg 19.1% → last ⅓ avg 21.7%

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

0.17Best match rating · 9–0 · inferno, 8 Apr →
40%Best headshot accuracy · 9–13 · dust2, 31 Jul →
484msFastest reaction time · 3–13 · ancient, 29 Aug →
13–0Biggest win · cache, 31 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L5Current streak
8–1In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 61% over 18ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B2512–1348%0.00
mirageA2213–959%-0.01
infernoA1811–761%0.01
cacheC135–838%0.00
nukeC94–544%0.01
ancientD51–420%-0.01
vertigo—42–250%0.02
anubis—22–0100%-0.04
overpass—20–20%-0.05

Across the last 100 tracked matches.

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

Lifetime stats

60,307Lifetime kills
0.88K/D
4,433Matches
33.2%Match win rate
39.2%Headshot %
17.6%Shot accuracy · Top 25% of Level 3 players
5,522MVPs
1,023Hours (in match)
2,683Bombs planted
428Bombs defused

Most-used weapons

AK-4716,004
AWP5,758
P901,703
FAMAS1,315
MP71,284

Lifetime map wins

3,462dust2
2,342inferno
1,167nuke
1,076vertigo
523train
317cbble
239lake
165safehouse

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

Faceit stats

Combat

5Matches
0%Win rate
0.50Avg K/D
54.8ADR
37%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage20%0.428.0
Inferno10%0.6813.0

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.

21.9%Headshot accuracy
39.8%Accuracy (enemy spotted)
39.6%Spray accuracy
89.0%Counter-strafing
10.0°Preaim
666msReaction time
29.2%T opening success
42.5%CT opening success
0.52Enemies flashed / flash
3.1%Flash assists
9.49HE damage / grenade
4.72Flashes / 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 29.2265% — below the 40% mark we flag

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.

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0234%13 Oct →
cache10–13-0.0213%1 Oct →
cache8–13-0.0612%25 Sept →
dust24–13-0.0612%20 Sept →
cache8–130.0124%16 Sept →
mirage13–90.0116%31 Aug →
dust213–110.0127%30 Aug →
mirage13–90.0225%30 Aug →
ancient3–13-0.0624%29 Aug →
ancient8–130.0515%28 Aug →
cache8–130.1318%23 Aug →
inferno13–11-0.0423%21 Aug →
mirage13–50.1020%18 Aug →
mirage13–8-0.0329%18 Aug →
inferno13–6-0.0827%17 Aug →
dust213–40.0831%16 Aug →
dust27–130.0132%13 Aug →
mirage13–3-0.0317%13 Aug →
dust29–130.0130%13 Aug →
dust25–130.0125%12 Aug →
dust213–40.0719%8 Aug →
cache6–13-0.0512%8 Aug →
inferno13–90.0524%4 Aug →
nuke13–110.0421%3 Aug →
dust213–11-0.0215%3 Aug →
inferno13–50.0328%2 Aug →
cache13–70.0015%2 Aug →
mirage13–7-0.0027%2 Aug →
inferno13–100.0419%2 Aug →
nuke13–90.0024%2 Aug →
dust24–13-0.0510%2 Aug →
inferno13–50.0816%1 Aug →
dust213–8-0.0233%31 Jul →
ancient16–14-0.0330%31 Jul →
cache13–00.0210%31 Jul →
dust29–13-0.0640%31 Jul →
anubis13–7-0.0626%31 Jul →
mirage13–30.0821%30 Jul →
dust215–15-0.0311%29 Jul →
cache2–130.0331%29 Jul →
dust213–50.0322%29 Jul →
inferno6–13-0.0619%28 Jul →
inferno9–13-0.0310%27 Jul →
mirage13–100.0122%27 Jul →
cache6–13-0.0818%27 Jul →
dust24–13-0.0117%26 Jul →
cache13–80.0514%26 Jul →
dust213–70.0127%26 Jul →
dust213–11-0.0532%11 Jul →
inferno3–130.0216%10 Jul →
cache13–90.0920%10 Jul →
cache4–13-0.1111%8 Jul →
dust25–130.0117%6 Jul →
dust213–100.0013%5 Jul →
mirage13–6-0.0826%30 Jun →
inferno13–30.0225%8 Jun →
vertigo6–9-0.0921%7 Jun →
inferno6–9-0.0310%7 Jun →
mirage13–60.0718%6 Jun →
dust29–130.0122%31 May →
dust213–60.1620%30 May →
inferno8–130.0521%27 May →
dust25–13-0.045%26 May →
inferno13–80.0911%25 May →
mirage13–9-0.0519%24 May →
inferno9–6-0.0010%24 May →
mirage13–110.0220%23 May →
mirage10–13-0.0319%22 May →
mirage8–13-0.067%21 May →
vertigo9–60.1326%21 May →
mirage11–13-0.0311%17 May →
nuke6–9-0.0421%15 May →
nuke13–160.0216%15 May →
nuke13–70.0117%13 May →
dust215–15-0.0121%12 May →
mirage4–13-0.0817%3 May →
cache13–90.0312%1 May →
ancient3–13-0.0112%26 Apr →
vertigo5–9-0.0835%26 Apr →
mirage5–13-0.0128%14 Apr →
nuke8–130.0621%14 Apr →
inferno6–13-0.0519%10 Apr →
overpass5–13-0.0425%8 Apr →
inferno9–00.178%8 Apr →
dust213–10-0.0427%6 Apr →
mirage6–130.0017%5 Apr →
nuke6–13-0.0126%5 Apr →
nuke15–150.0127%1 Apr →
ancient5–13-0.0116%29 Mar →
mirage10–13-0.0120%27 Mar →
vertigo9–60.119%20 Mar →
inferno4–9-0.0022%20 Mar →
overpass8–13-0.0527%18 Mar →
mirage13–90.0114%16 Mar →
dust213–60.0021%16 Mar →
anubis16–14-0.0131%15 Mar →
mirage4–13-0.1020%15 Mar →
inferno9–2-0.0510%15 Mar →
mirage4–13-0.0511%11 Mar →
nuke13–100.0417%10 Mar →

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 →

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