Guseens

Guseens — CS2 Stats

76561198159554039[U:1:199288311]Steam profile ↗1 game ban

2,579Tracked matches48%Win rate2020Tracked since
CSDB Rating3.3 LearningSupport
Premier CS Rating9,565Light Blue band · top ~57% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

+1021Premier CS Rating · 8,544 → 9,565

Rating over time

Premier CS Rating: 9,565 -6,269 19 Aug – 28 Oct · 38 days played
7,54415,834peak 15,83419 Aug28 Oct
15,834Peak Premier in tracked matches
36Days played since 2026-08-19

Premier CS Rating

  • 6,269 below peak (15,834)
  • +1,361 over 30 days · improving
  • Next: Blue band at 10,000 — 435 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-03
  • Light Blue band first seen 2026-09-03

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

Share this profile

CSDB.GGGuseensFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER9,565 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim34
Positioning39
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY36–62–2Last 10036%Win rateLLWLWWLLWL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +0.4pp headshot accuracy · −44ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 689ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 659ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 681ms

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 (+2 against its own average).

Aim3.4
Utility5.2
Positioning3.9
Opening Duels0.4

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

iM

Plays most like iM 67% 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

CT openings. Opening success drops from 45% on T to 29% on CT — first contacts on the defending side are being lost.

Reaction time. 685ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim3.4
Positioning3.9
Utility5.2
Mechanics3.4
Opening Duels1.9
Win Impact4.4

Composite 3.3/10 (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-0.03−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time677ms+55ms
first ⅓ avg 623ms → last ⅓ avg 677ms
Headshot accuracy13.2%−1.8%
first ⅓ avg 15.0% → last ⅓ avg 13.2%

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

0.10Best match rating · 13–8 · dust2, 11 Sept →
36%Best headshot accuracy · 9–13 · nuke, 7 Sept →
445msFastest reaction time · 13–4 · anubis, 2 Oct →
13–1Biggest win · nuke, 24 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L2Current streak
3–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 42% over 12anubisWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
dust2C3413–2138%-0.02
anubisD144–1029%-0.01
mirageC135–838%-0.02
nukeC125–742%-0.01
infernoD103–730%-0.04
cacheD93–633%-0.04
ancientD62–433%-0.06
boulder—10–10%-0.03
office—11–0100%-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

45Matches
47%Win rate
0.74Avg K/D
—ADR
41%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWLW

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.

13.1%Headshot accuracy
29.1%Accuracy (enemy spotted)
30.8%Spray accuracy
65.4%Counter-strafing
8.1°Preaim
685msReaction time
45.3%T opening success
29.4%CT opening success
0.54Enemies flashed / flash
3.8%Flash assists
10.75HE damage / grenade
4.15Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.0932% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 29.4022% — below the 40% mark we flag

Spend your practice time on Anubis

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis4–13-0.0414%28 Oct →
nuke8–13-0.0215%25 Oct →
dust213–90.0217%25 Oct →
nuke7–13-0.0514%24 Oct →
dust213–60.0622%24 Oct →
nuke13–10.038%24 Oct →
anubis9–130.0022%20 Oct →
mirage2–13-0.028%20 Oct →
ancient13–11-0.0419%20 Oct →
mirage8–13-0.066%17 Oct →
dust24–13-0.083%16 Oct →
nuke6–13-0.0418%12 Oct →
anubis11–130.029%12 Oct →
dust27–13-0.0518%12 Oct →
inferno13–90.0217%12 Oct →
cache13–5-0.0218%12 Oct →
anubis13–3-0.0113%12 Oct →
dust212–16-0.0618%11 Oct →
anubis13–80.027%11 Oct →
dust213–40.0320%11 Oct →
cache11–13-0.069%11 Oct →
ancient15–15-0.0515%9 Oct →
nuke13–8-0.0312%9 Oct →
dust26–13-0.125%9 Oct →
nuke13–60.0517%9 Oct →
nuke3–13-0.016%8 Oct →
dust213–60.005%8 Oct →
dust29–13-0.0513%3 Oct →
cache13–4-0.090%3 Oct →
mirage13–5-0.0316%2 Oct →
cache6–13-0.0929%2 Oct →
mirage13–4-0.0717%2 Oct →
dust26–13-0.017%2 Oct →
inferno8–13-0.0714%2 Oct →
anubis13–40.0414%2 Oct →
nuke13–40.0212%1 Oct →
anubis13–70.027%1 Oct →
anubis10–13-0.0014%30 Sept →
inferno16–14-0.0117%30 Sept →
mirage9–13-0.0421%29 Sept →
nuke13–70.0614%29 Sept →
dust25–13-0.0217%29 Sept →
nuke7–130.0219%28 Sept →
dust24–13-0.0413%27 Sept →
inferno9–13-0.0821%27 Sept →
cache1–13-0.0213%26 Sept →
mirage11–130.0211%26 Sept →
dust216–130.0412%26 Sept →
cache13–70.0715%26 Sept →
inferno9–13-0.0210%26 Sept →
dust211–13-0.0327%26 Sept →
dust28–130.0220%25 Sept →
inferno7–13-0.029%25 Sept →
anubis11–13-0.027%21 Sept →
cache4–13-0.0415%21 Sept →
inferno13–7-0.0413%20 Sept →
ancient13–8-0.0614%20 Sept →
cache5–13-0.087%20 Sept →
dust213–7-0.045%20 Sept →
dust213–7-0.0510%19 Sept →
ancient5–13-0.0421%19 Sept →
dust210–13-0.019%19 Sept →
mirage5–13-0.0620%19 Sept →
mirage9–13-0.0620%18 Sept →
anubis6–13-0.0111%18 Sept →
inferno3–13-0.0520%12 Sept →
ancient0–10-0.100%12 Sept →
dust23–13-0.0513%11 Sept →
dust28–13-0.054%11 Sept →
inferno0–13-0.099%11 Sept →
ancient5–13-0.0918%11 Sept →
dust213–80.1021%11 Sept →
mirage13–6-0.0712%11 Sept →
dust213–70.0214%10 Sept →
dust25–13-0.0524%10 Sept →
mirage13–70.0513%10 Sept →
mirage15–150.069%10 Sept →
anubis1–13-0.0521%10 Sept →
dust28–13-0.0813%9 Sept →
inferno6–13-0.0213%9 Sept →
nuke9–13-0.0436%7 Sept →
anubis11–13-0.0315%7 Sept →
dust213–9-0.0013%7 Sept →
dust22–13-0.0525%7 Sept →
dust211–13-0.0318%7 Sept →
mirage6–13-0.0616%5 Sept →
dust27–130.0219%5 Sept →
boulder5–13-0.038%2 Sept →
office13–11-0.0018%2 Sept →
nuke13–16-0.0518%29 Aug →
dust22–13-0.0519%29 Aug →
dust213–60.0020%28 Aug →
dust213–6-0.0511%28 Aug →
mirage13–40.0516%28 Aug →
dust25–13-0.0610%27 Aug →
anubis8–130.0115%27 Aug →
anubis5–13-0.0613%26 Aug →
dust213–100.017%26 Aug →
dust211–13-0.0112%21 Aug →
cache1–13-0.040%19 Aug →

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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