suame

suame — CS2 Stats

US76561199271271983[U:1:1311006255]Steam profile ↗✓ No bans

1,525Tracked matches45%Win rate2022Tracked since
1,376Hours in CS6Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
CSDB Leaderboard#93915 of 251987 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (23 days ago). Ranks are recorded once per day this page is viewed.

+10Tracked matches · now 1,525
−8.7ppWin rate · 53.6% → 44.8%

Rating over time

Premier CS Rating: 19,155 +574 14 Aug – 22 Sept · 8 days played
18,36019,649peak 19,64914 Aug22 Sept
19,928Peak Premier in tracked matches
33Days played since 2026-07-22

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
Matches25——
Win rate36%——
K/D0.77——
Headshot %73%——

Measured 18 Sep 2026 → 15 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

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.

Performance scores

Aim81
Positioning64
Utility6

0–100 skill scores via Leetify.

Recent form

COLD42–45–13Last 10042%Win rateLLLLTLLWLL

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · −3.4pp headshot accuracy · +52ms reaction

Win rate down 40pp 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 22%
  • Avg reaction 669ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 26%
  • Avg reaction 645ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 28%
  • Avg reaction 619ms

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 (+1.7 against its own average).

Aim8.1
Utility0.6
Positioning6.4
Opening Duels5.7
Clutch6.0

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

donk

Plays most like donk 59% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning profile; 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

Areas to improve

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

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

Aim8.1
Positioning6.4
Utility0.6
Mechanics5.7
Opening Duels4.9
Win Impact3.3

Composite 5.5/10 (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 rating0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time572ms−40ms
first ⅓ avg 612ms → last ⅓ avg 572ms
Headshot accuracy31.4%+0.8%
first ⅓ avg 30.6% → last ⅓ avg 31.4%

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

0.23Best match rating · 13–1 · nuke, 14 Aug →
58%Best headshot accuracy · 12–12 · inferno, 6 Aug →
367msFastest reaction time · 9–1 · vertigo, 23 Aug →
13–1Biggest win · mirage, 13 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L4Current streak
7–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

mirageBest map · 57% over 7infernoWeakest map · 19% over 16
MapGradePlayedRecordWin rateAvg rating
nukeC2511–1444%0.02
infernoD163–1319%-0.04
vertigoC125–742%0.02
officeC114–736%-0.00
anubisB105–550%-0.02
cacheB84–450%-0.01
mirageA74–357%0.01
ancientC52–340%-0.01
dust2—42–250%0.01
boulder—11–0100%0.03
train—11–0100%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (19% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

48,865Lifetime kills
0.99K/D
2,758Matches
35.8%Match win rate
65.1%Headshot % · Top 5% of tracked players
4.5%Shot accuracy
7,095MVPs
901Hours (in match)
780Bombs planted
572Bombs defused

Most-used weapons

Lifetime map wins

3,957nuke
2,849dust2
2,326inferno
1,542vertigo
1,219office
468train
238lake
107cbble

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

Faceit stats

Combat

29Matches
41%Win rate
1.09Avg K/D
80.3ADR
56%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke425%0.8514.0
Vertigo30%1.0719.3
Inferno367%1.1216.7
Dust2250%1.5030.0
Mirage250%1.0218.0
Ancient250%0.8813.5
Overpass1100%1.3615.0

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.

30.2%Headshot accuracy
32.2%Accuracy (enemy spotted)
34.8%Spray accuracy
75.7%Counter-strafing
8.7°Preaim
554msReaction time
44.0%T opening success
54.9%CT opening success
0.03Enemies flashed / flash
0.0%Flash assists
7.01HE damage / grenade
0.31Flashes / 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 0.0272 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

19% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–130.0024%13 Oct →
cache5–13-0.0821%11 Oct →
nuke8–13-0.0121%11 Oct →
nuke2–9-0.1613%6 Oct →
inferno8–80.0032%6 Oct →
dust26–13-0.0724%5 Oct →
inferno7–9-0.1430%26 Sept →
nuke9–30.2034%26 Sept →
vertigo10–130.0631%26 Sept →
vertigo7–130.0232%25 Sept →
mirage13–1-0.0118%13 Sept →
inferno5–13-0.1315%13 Sept →
anubis10–13-0.0226%13 Sept →
nuke13–60.0343%11 Sept →
mirage13–110.0249%11 Sept →
vertigo11–130.0115%11 Sept →
inferno9–13-0.0154%6 Sept →
nuke15–150.0633%6 Sept →
anubis13–11-0.0023%6 Sept →
mirage13–90.0321%5 Sept →
anubis5–13-0.0548%5 Sept →
anubis13–110.0426%2 Sept →
nuke8–130.0631%2 Sept →
office13–100.0732%2 Sept →
vertigo8–80.0935%2 Sept →
nuke8–130.0245%1 Sept →
dust25–13-0.0545%1 Sept →
vertigo13–70.0646%30 Aug →
mirage13–100.0635%30 Aug →
ancient13–6-0.0249%23 Aug →
ancient13–4-0.0214%23 Aug →
anubis13–10-0.0526%23 Aug →
vertigo9–10.2144%23 Aug →
office13–7-0.0120%18 Aug →
inferno4–13-0.1213%16 Aug →
inferno6–13-0.0515%16 Aug →
office4–13-0.0517%15 Aug →
office2–13-0.0714%15 Aug →
nuke13–11-0.0526%14 Aug →
anubis13–30.0730%14 Aug →
office12–120.1038%14 Aug →
inferno5–13-0.0736%14 Aug →
nuke13–10.2325%14 Aug →
nuke9–60.1135%13 Aug →
cache6–13-0.0234%13 Aug →
nuke12–12-0.0740%13 Aug →
nuke2–9-0.0733%12 Aug →
nuke12–12-0.0250%12 Aug →
nuke3–9-0.0724%10 Aug →
inferno4–9-0.0035%10 Aug →
inferno6–9-0.0531%10 Aug →
vertigo7–13-0.0236%8 Aug →
boulder13–30.0322%8 Aug →
cache4–13-0.0740%8 Aug →
nuke4–130.0343%8 Aug →
nuke13–60.0119%8 Aug →
office8–13-0.0614%8 Aug →
dust213–50.0424%7 Aug →
mirage1–13-0.069%7 Aug →
inferno2–13-0.0914%7 Aug →
anubis1–13-0.0933%7 Aug →
inferno13–7-0.0435%7 Aug →
nuke13–9-0.0532%7 Aug →
inferno12–120.0431%6 Aug →
inferno12–120.0358%6 Aug →
office4–13-0.0729%5 Aug →
office13–50.0344%5 Aug →
cache13–10-0.0437%4 Aug →
vertigo13–90.0122%4 Aug →
office12–120.0438%3 Aug →
mirage5–130.0238%3 Aug →
office12–12-0.0725%3 Aug →
vertigo8–13-0.0815%3 Aug →
nuke9–130.0134%3 Aug →
train13–50.0432%3 Aug →
ancient4–13-0.0612%3 Aug →
cache4–130.0121%3 Aug →
ancient12–120.0532%1 Aug →
dust213–90.1247%1 Aug →
anubis4–13-0.0535%1 Aug →
cache13–100.0145%27 Jul →
ancient3–13-0.0225%27 Jul →
inferno13–5-0.0231%27 Jul →
vertigo9–70.0322%26 Jul →
cache13–110.0117%26 Jul →
nuke9–60.0924%26 Jul →
anubis12–12-0.0032%24 Jul →
nuke11–130.0434%24 Jul →
nuke13–90.0340%24 Jul →
vertigo7–9-0.0831%23 Jul →
nuke9–20.0853%23 Jul →
vertigo9–6-0.0223%23 Jul →
nuke9–30.1126%23 Jul →
inferno8–8-0.1022%23 Jul →
inferno9–70.0944%23 Jul →
nuke4–9-0.0311%23 Jul →
anubis13–7-0.0229%22 Jul →
office13–50.0648%22 Jul →
nuke8–130.0343%22 Jul →
cache13–70.0923%22 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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