SnattuGOES

SnattuGOES — CS2 Stats

FI76561197997616018[U:1:37350290]Steam profile ↗✓ No bans

1,438Tracked matches41%Win rate2020Tracked since
2,838Hours in CS12Hrs last 2 wks
CSDB Rating3.4 LearningSupport
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (43 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,033 → 1,033
+36Tracked matches · now 1,438
−13.8ppWin rate · 55.2% → 41.4%

Rating over time

Premier CS Rating: 11,456 -1,445 22 Oct – 3 Jul · 26 days played
9,31914,277peak 14,27722 Oct3 Jul
14,370Peak Premier in tracked matches
1,033Highest Faceit ELO seen on CSDB
53Days played since 2025-10-22

Faceit ELO

  • At peak — 1,033
  • Next: Level 5 at 1,051 — 18 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-08-30
  • Level 3 first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGSnattuGOESPEAK ELO1,033csdb.gg/stats

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Performance scores

Aim48
Positioning38
Utility48

0–100 skill scores via Leetify.

Recent form

COLD44–54–2Last 10044%Win rateLLLLWLWLLW

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · +0.1pp headshot accuracy · −54ms reaction

Win rate down 20pp 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 (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 538ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 559ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 586ms

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 (+1.7 against its own average).

Aim4.8
Utility4.8
Positioning3.8
Opening Duels0.0
Clutch3.8

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

Twistzz

Plays most like Twistzz 81% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 594ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim4.8
Positioning3.8
Utility4.8
Mechanics3.9
Opening Duels0.6
Win Impact2.1

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time595ms−39ms
first ⅓ avg 634ms → last ⅓ avg 595ms
Headshot accuracy15.9%+0.0%
first ⅓ avg 15.9% → last ⅓ avg 15.9%

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

0.08Best match rating · 13–4 · dust2, 5 Apr →
32%Best headshot accuracy · 5–13 · nuke, 24 Nov →
383msFastest reaction time · 2–13 · mirage, 30 Sept →
13–1Biggest win · cache, 17 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L4Current streak
6–16In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 59% over 17cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C249–1538%-0.01
infernoC188–1044%-0.01
ancientA1710–759%-0.02
mirageB157–847%-0.01
nukeB147–750%-0.03
cacheD51–420%-0.01
overpass—32–167%-0.05
anubis—20–20%-0.03
vertigo—10–10%-0.09
train—10–10%-0.07

Across the last 100 tracked matches.

Lifetime stats

68,351Lifetime kills
0.85K/D
3,950Matches
44.8%Match win rate
40.1%Headshot %
14.3%Shot accuracy · Top 50% of tracked players
7,446MVPs
1,755Hours (in match)
4,611Bombs planted
969Bombs defused

Most-used weapons

AK-4716,368
AWP10,518
FAMAS2,073
SSG 081,635
MP91,550

Lifetime map wins

9,937inferno
7,895dust2
7,104nuke
2,061train
1,155vertigo
125cbble
58office
50safehouse

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

Faceit stats

Combat

363Matches
51%Win rate
0.92Avg K/D
73.1ADR
42%Headshot %

Clutches & streaks

39%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage6159%0.9412.8
Inferno4947%0.9313.4
Dust24052%1.0214.3
Ancient3759%0.8712.8
Nuke3256%0.9514.5
Cache1233%0.8712.3
Anubis1242%0.7912.5
Train425%0.5811.5

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.

15.9%Headshot accuracy
31.3%Accuracy (enemy spotted)
33.6%Spray accuracy
67.7%Counter-strafing
10.3°Preaim
594msReaction time
33.4%T opening success
31.5%CT opening success
0.47Enemies flashed / flash
6.1%Flash assists
13.43HE damage / grenade
4.97Flashes / 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 0.4653 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 33.4261% — below the 40% mark we flag

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage2–130.0413%30 Sept →
inferno2–13-0.0726%30 Sept →
ancient10–13-0.0717%23 Sept →
cache5–13-0.057%23 Sept →
ancient13–4-0.014%13 Sept →
inferno16–19-0.0113%12 Sept →
mirage13–70.005%7 Sept →
cache4–130.0320%19 Aug →
anubis9–13-0.0118%17 Aug →
cache13–10.0214%17 Aug →
dust25–13-0.049%7 Aug →
nuke11–13-0.068%6 Aug →
cache9–13-0.047%8 Jul →
mirage13–4-0.0113%8 Jul →
nuke11–13-0.0221%3 Jul →
nuke13–100.048%26 Jun →
ancient13–9-0.0422%21 Jun →
inferno13–80.0013%21 Jun →
dust212–120.0525%16 Jun →
nuke16–14-0.0410%16 Jun →
inferno16–14-0.0426%29 Apr →
dust211–13-0.0526%29 Apr →
cache8–13-0.0026%29 Apr →
dust213–9-0.0628%28 Apr →
mirage11–13-0.0415%26 Apr →
nuke13–7-0.0026%26 Apr →
ancient14–160.0215%8 Apr →
dust22–130.037%8 Apr →
nuke11–13-0.0211%6 Apr →
dust213–3-0.0124%6 Apr →
mirage13–80.0118%5 Apr →
ancient13–80.0415%5 Apr →
dust213–50.0318%5 Apr →
dust213–40.0820%5 Apr →
inferno13–50.0124%5 Apr →
mirage11–130.0324%5 Apr →
ancient13–40.0516%26 Mar →
inferno19–15-0.0412%25 Mar →
inferno3–13-0.0413%24 Mar →
dust213–8-0.0012%24 Mar →
vertigo2–13-0.098%21 Mar →
inferno8–13-0.0515%12 Mar →
nuke13–10-0.0427%12 Mar →
ancient13–4-0.0428%12 Mar →
mirage13–110.0324%12 Mar →
inferno6–13-0.0821%12 Mar →
ancient13–10-0.0217%12 Mar →
dust29–13-0.0313%12 Mar →
mirage8–13-0.0822%11 Mar →
inferno9–130.0118%11 Mar →
dust23–13-0.048%4 Mar →
dust28–13-0.0513%2 Mar →
nuke8–13-0.0826%1 Mar →
mirage13–50.008%1 Mar →
dust213–7-0.0318%1 Mar →
dust211–130.0223%26 Feb →
anubis15–15-0.0518%26 Feb →
ancient13–4-0.0117%25 Feb →
nuke13–70.0328%23 Feb →
mirage7–13-0.0628%22 Feb →
nuke10–13-0.0615%16 Feb →
dust213–3-0.0021%16 Feb →
overpass7–0-0.040%16 Feb →
inferno13–80.0229%15 Feb →
ancient13–6-0.0122%15 Feb →
inferno9–13-0.0426%11 Feb →
overpass2–13-0.0718%11 Feb →
dust213–100.0519%10 Feb →
inferno13–70.0622%10 Feb →
dust28–13-0.0315%29 Jan →
nuke5–13-0.0313%25 Nov →
dust26–130.0218%25 Nov →
dust211–130.0329%24 Nov →
nuke5–13-0.0132%24 Nov →
ancient13–90.0413%23 Nov →
mirage14–16-0.0218%13 Nov →
mirage14–16-0.0711%12 Nov →
dust211–13-0.087%12 Nov →
mirage13–90.0225%11 Nov →
ancient3–13-0.0612%11 Nov →
inferno8–13-0.0314%11 Nov →
train11–13-0.0710%6 Nov →
ancient5–13-0.068%6 Nov →
overpass13–11-0.0526%5 Nov →
ancient9–13-0.0413%4 Nov →
dust211–130.0216%4 Nov →
inferno9–130.0118%3 Nov →
inferno13–8-0.0011%3 Nov →
mirage11–130.0215%2 Nov →
ancient11–13-0.019%2 Nov →
ancient10–13-0.012%30 Oct →
inferno13–100.0216%30 Oct →
dust27–13-0.0415%30 Oct →
nuke13–8-0.0517%29 Oct →
ancient13–8-0.0418%29 Oct →
mirage13–100.029%29 Oct →
dust213–11-0.0613%29 Oct →
nuke16–14-0.0422%29 Oct →
dust24–13-0.0426%28 Oct →
inferno8–130.0413%22 Oct →

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 →

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