GwyllPus

GwyllPus — CS2 Stats

VI76561198154333647[U:1:194067919]Steam profile ↗✓ No bans

2,617Tracked matches50%Win rate2020Tracked since
4,344Hours in CS15Hrs last 2 wks
CSDB Rating7.2 StrongPositional Player
Premier CS Rating17,474Purple band · top ~18.6% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

+378Premier CS Rating · 17,096 → 17,474

Rating over time

Premier CS Rating: 17,474 +1,920 4 Sept – 28 Oct · 16 days played
15,44817,474peak 17,4744 Sept28 Oct
Faceit ELO: 1,116 +0 2 Sept – 19 Sept · 3 observations
1,1161,116peak 1,1162 Sept19 Sept
17,474Peak Premier in tracked matches
1,116Highest Faceit ELO seen on CSDB
45Days played since 2026-07-19

Premier CS Rating

  • At peak — 17,474
  • +632 over 30 days · improving
  • Next: Pink band at 20,000 — 2,526 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-06
  • Blue band first seen 2026-09-06

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.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate50.1%45.7%46.8%above
Shot accuracy17.9%12.7%13.0%above
Kill/death ratio1.511.051.06above
Match win rate52.1%45.7%46.3%above

Across every metric we can compare, this profile already matches the typical Level 8 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGGwyllPusFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER17,474 · Purple bandPEAK ELO1,116csdb.gg/stats

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Performance scores

Aim87
Positioning77
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY54–41–5Last 10054%Win rateWLLLLWWLWL

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · +1.5pp headshot accuracy · +100ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 23%
  • Avg reaction 531ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 24%
  • Avg reaction 588ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 24%
  • Avg reaction 538ms

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: Positional Player — Positioning stands above the rest of this profile (+2.6 against its own average).

Aim8.7
Utility3.5
Positioning7.7
Opening Duels6.3
Clutch3.0

Sharp aimerLimited 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 88% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: 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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

T openings. 83% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 83% on T to 50% on CT — first contacts on the defending side are being lost.

Reaction time. 554ms 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

Aim8.7
Positioning7.7
Utility3.5
Mechanics8.3
Opening Duels7.5
Win Impact5.0

Composite 7.2/10 (Strong), 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 rating0.03+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time554ms+3ms
first ⅓ avg 552ms → last ⅓ avg 554ms
Headshot accuracy22.1%−2.5%
first ⅓ avg 24.5% → last ⅓ avg 22.1%

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 · 13–6 · inferno, 26 Jul →
67%Best headshot accuracy · 5–8 · rush_001, 9 Oct →
383msFastest reaction time · 9–4 · overpass, 3 Aug →
13–1Biggest win · dust2, 4 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–8In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 80% over 10dust2Weakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
infernoB178–947%0.02
mirageA1610–663%0.02
dust2C146–843%0.04
cacheS108–280%0.01
ancientA106–460%0.03
anubisC94–544%0.01
nukeA85–363%0.01
vertigoS64–267%0.01
overpass—31–233%-0.05
shelter—21–150%0.06
boulder—21–150%0.03
rush_001—10–10%-0.03
office—10–10%0.11
train—10–10%0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

204,071Lifetime kills
1.51K/D · Top 5% of Level 7 players
11,971Matches
52.1%Match win rate · Top 10% of Level 7 players
50.1%Headshot % · Top 50% of Level 7 players
17.9%Shot accuracy · Top 10% of Level 7 players
22,458MVPs
2,558Hours (in match)
4,817Bombs planted
1,460Bombs defused

Most-used weapons

AK-4749,561
AWP24,685
SG 5535,433
MP74,702
MP94,084

Lifetime map wins

7,732inferno
6,231nuke
5,856vertigo
4,255dust2
2,300train
1,533office
871lake
808cbble

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

Faceit stats

Combat

307Matches
50%Win rate
1.11Avg K/D
79.9ADR
48%Headshot %

Clutches & streaks

35%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Anubis5941%1.0615.4
Mirage5549%1.1116.8
Ancient4161%0.9515.6
Inferno3145%0.8913.7
Nuke2763%1.2218.1
Vertigo2060%1.0413.7
Cache729%0.9316.3
Dust2729%0.8112.6

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.

21.0%Headshot accuracy
38.6%Accuracy (enemy spotted)
40.9%Spray accuracy
87.4%Counter-strafing
9.6°Preaim
554msReaction time
83.0%T opening success
50.2%CT opening success
0.36Enemies flashed / flash
12.5%Flash assists
13.95HE damage / grenade
2.20Flashes / 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 0.3604 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache16–12-0.0111%28 Oct →
shelter8–130.1134%25 Oct →
inferno7–130.0519%25 Oct →
dust29–130.0815%25 Oct →
dust28–130.0537%22 Oct →
anubis13–90.1123%22 Oct →
vertigo13–80.0527%22 Oct →
nuke10–130.0925%21 Oct →
dust213–110.0535%21 Oct →
cache8–130.0419%20 Oct →
cache13–30.1122%20 Oct →
inferno11–130.1121%18 Oct →
cache13–80.0220%18 Oct →
anubis11–13-0.0415%17 Oct →
mirage13–8-0.0114%17 Oct →
dust25–130.0423%16 Oct →
inferno13–30.1422%16 Oct →
inferno13–40.0213%16 Oct →
ancient9–130.0113%10 Oct →
rush_0015–8-0.0367%9 Oct →
dust214–160.0421%9 Oct →
dust213–90.0020%7 Oct →
overpass5–13-0.0514%4 Oct →
anubis13–3-0.0314%4 Oct →
mirage4–13-0.089%4 Oct →
cache19–17-0.0222%4 Oct →
inferno13–100.0125%3 Oct →
office11–130.1130%1 Oct →
dust213–50.0617%27 Sept →
mirage3–130.0011%27 Sept →
nuke13–6-0.0028%27 Sept →
nuke13–60.0013%26 Sept →
ancient13–110.0926%26 Sept →
inferno10–13-0.0122%26 Sept →
dust213–80.0319%26 Sept →
dust211–130.0629%24 Sept →
mirage13–100.1131%22 Sept →
dust26–130.0527%20 Sept →
inferno7–130.0119%20 Sept →
mirage13–100.0014%18 Sept →
inferno7–13-0.0218%6 Sept →
overpass8–80.0229%5 Sept →
nuke3–9-0.1315%5 Sept →
dust213–10.0223%4 Sept →
inferno6–9-0.0510%4 Sept →
inferno9–00.1340%4 Sept →
nuke9–60.1730%4 Sept →
anubis7–13-0.0122%3 Sept →
inferno10–13-0.0236%3 Sept →
inferno9–13-0.0519%3 Sept →
mirage11–13-0.0624%29 Aug →
mirage13–70.039%29 Aug →
mirage7–13-0.0026%28 Aug →
anubis13–5-0.0529%28 Aug →
cache13–7-0.0422%28 Aug →
cache4–13-0.0825%19 Aug →
ancient13–110.0525%19 Aug →
inferno13–50.0320%19 Aug →
mirage13–20.0919%17 Aug →
dust213–9-0.0032%17 Aug →
vertigo10–13-0.0214%16 Aug →
vertigo13–3-0.0319%15 Aug →
ancient5–130.009%10 Aug →
ancient13–80.0915%10 Aug →
inferno16–14-0.0021%10 Aug →
ancient10–130.0215%9 Aug →
mirage13–60.0324%9 Aug →
anubis4–130.0226%9 Aug →
vertigo13–11-0.0320%7 Aug →
mirage13–9-0.0128%6 Aug →
anubis11–13-0.029%6 Aug →
anubis12–120.0724%4 Aug →
nuke9–5-0.1120%3 Aug →
overpass9–4-0.1226%3 Aug →
ancient7–13-0.0021%3 Aug →
mirage12–120.0928%3 Aug →
ancient13–10.0935%2 Aug →
mirage13–50.0726%2 Aug →
nuke13–90.0926%2 Aug →
cache13–40.0623%2 Aug →
dust212–12-0.0117%2 Aug →
dust26–130.0825%2 Aug →
vertigo13–70.0320%2 Aug →
vertigo4–130.0439%2 Aug →
ancient13–11-0.0122%29 Jul →
mirage13–40.0022%29 Jul →
ancient13–110.0127%29 Jul →
anubis13–100.0220%28 Jul →
inferno13–9-0.0714%28 Jul →
cache13–70.0536%28 Jul →
mirage11–130.1244%28 Jul →
mirage13–9-0.0118%26 Jul →
shelter13–60.0139%26 Jul →
inferno13–60.1728%26 Jul →
train7–130.0621%26 Jul →
inferno0–13-0.040%24 Jul →
boulder9–20.0622%23 Jul →
cache13–11-0.0821%22 Jul →
nuke12–12-0.0530%21 Jul →
boulder7–130.0132%19 Jul →

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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