SCxM

SCxM — CS2 Stats

TW76561198287113657[U:1:326847929]Steam profile ↗✓ No bans

1,651Tracked matches71%Win rate2020Tracked since
5,628Hours in CS40Hrs last 2 wks
CSDB Rating6.8 SolidPositional Player
Premier CS Rating22,281Top 50% of 215,558 CSDB-tracked playersPink band · top ~6% of ranked players (population est.)
CSDB Leaderboard#53598 of 261688 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 22,281 → 22,281
+9Tracked matches · now 1,651
+7.1ppWin rate · 64.3% → 71.4%

Rating over time

Premier CS Rating: 22,281 +1,604 12 Sept – 3 Nov · 6 days played
20,61822,281peak 22,28112 Sept3 Nov
22,281Peak Premier in tracked matches
35Days played since 2026-05-28

Premier CS Rating

  • At peak — 22,281
  • Next: Red band at 25,000 — 2,719 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-22
  • Purple band first seen 2026-09-22

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 8 among CSDB-tracked players (n=15,878), 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 8 medianLevel 9 medianvs Level 9
Headshot rate44.3%46.8%48.2%3.9% short
Shot accuracy15.2%13.0%13.2%above
Kill/death ratio1.091.061.07meets
Match win rate45.2%46.3%46.9%1.7% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSCxMFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER22,281 · Pink 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

Aim72
Positioning71
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY54–36–10Last 10054%Win rateTWLWWLLWWW

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · −5.5pp headshot accuracy · −50ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 12%
  • Avg reaction 555ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 11%
  • Avg reaction 552ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 577ms

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 (+1.8 against its own average).

Aim7.2
Utility5.2
Positioning7.1
Opening Duels3.5

Strong CT-side opener

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 82% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 572ms 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

Aim7.2
Positioning7.1
Utility5.2
Mechanics5.1
Opening Duels5.0
Win Impact10.0

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.04
first ⅓ avg -0.00 → last ⅓ avg 0.04
Reaction time580ms−93ms
first ⅓ avg 673ms → last ⅓ avg 580ms
Headshot accuracy16.4%−0.8%
first ⅓ avg 17.2% → last ⅓ avg 16.4%

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

0.17Best match rating · 13–5 · mirage, 23 Oct →
100%Best headshot accuracy · 0–3 · dust2, 1 Oct →
461msFastest reaction time · 8–13 · dust2, 10 Nov →
13–1Biggest win · mirage, 19 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
3–10In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 83% over 6nukeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B3518–1751%0.02
mirageA2011–955%0.01
cacheB147–750%0.00
ancientS65–183%0.02
nukeD61–517%0.00
anubisD51–420%0.01
infernoS54–180%0.04
overpass—44–0100%0.01
vertigo—21–150%-0.01
train—21–150%0.00
shelter—11–0100%0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

227,683Lifetime kills
1.09K/D · Top 50% of Level 8 players
10,461Matches
45.2%Match win rate
44.3%Headshot %
15.2%Shot accuracy · Top 50% of Level 8 players
24,396MVPs
3,952Hours (in match)
19,703Bombs planted
4,158Bombs defused

Most-used weapons

AK-4794,876
AWP23,132
UMP-455,273
FAMAS4,207
P2503,258

Lifetime map wins

27,362dust2
17,088inferno
4,661vertigo
3,397nuke
2,625train
1,020cbble
293office
95italy

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

Faceit stats

Combat

176Matches
58%Win rate
1.28Avg K/D
—ADR
39%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke1100%0.6312.0
Ancient1100%0.7613.0

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.

13.6%Headshot accuracy
38.3%Accuracy (enemy spotted)
42.3%Spray accuracy
72.8%Counter-strafing
9.0°Preaim
572msReaction time
48.1%T opening success
51.7%CT opening success
0.50Enemies flashed / flash
7.5%Flash assists
4.56HE damage / grenade
13.29Flashes / 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 13.6225% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Nuke

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage12–12-0.017%10 Nov →
dust213–100.1011%10 Nov →
dust28–130.0919%10 Nov →
ancient13–9-0.029%10 Nov →
anubis13–50.1112%10 Nov →
dust27–13-0.027%10 Nov →
dust211–13-0.0214%10 Nov →
overpass13–110.0111%3 Nov →
inferno13–60.0913%3 Nov →
dust213–60.0511%2 Nov →
cache13–10-0.039%2 Nov →
cache16–12-0.0214%2 Nov →
mirage13–30.0516%2 Nov →
cache10–130.0023%29 Oct →
dust29–130.0923%29 Oct →
overpass13–100.0124%26 Oct →
vertigo13–110.0119%26 Oct →
dust24–13-0.0415%26 Oct →
dust213–70.0411%26 Oct →
cache13–7-0.0216%26 Oct →
ancient13–90.048%23 Oct →
train13–100.077%23 Oct →
cache3–130.0214%23 Oct →
mirage13–50.1711%23 Oct →
inferno13–60.0913%23 Oct →
dust213–20.1116%23 Oct →
mirage12–120.0312%23 Oct →
dust213–30.0611%14 Oct →
dust211–10.0124%14 Oct →
dust28–130.0315%3 Oct →
mirage13–70.0612%3 Oct →
nuke11–130.0515%1 Oct →
dust20–30.02100%1 Oct →
inferno13–60.1124%1 Oct →
dust210–130.017%28 Sept →
dust23–13-0.0215%28 Sept →
dust213–70.0616%28 Sept →
mirage15–15-0.0410%14 Sept →
nuke11–130.0014%14 Sept →
dust28–13-0.0133%14 Sept →
mirage7–20.0124%12 Sept →
mirage13–30.069%3 Sept →
dust213–90.027%3 Sept →
dust213–60.0317%2 Sept →
overpass13–50.0220%2 Sept →
cache13–90.1119%26 Aug →
nuke1–13-0.034%22 Aug →
mirage13–1-0.0225%19 Aug →
dust211–130.0516%19 Aug →
mirage8–13-0.0226%15 Aug →
inferno13–3-0.0313%15 Aug →
mirage13–10-0.0823%14 Aug →
dust213–60.0417%14 Aug →
mirage13–80.0013%10 Aug →
train12–12-0.0617%7 Aug →
nuke7–13-0.0612%7 Aug →
dust212–12-0.0014%7 Aug →
shelter13–60.0523%21 Jul →
dust213–60.0920%21 Jul →
mirage11–130.0419%9 Jul →
nuke11–130.0319%1 Jul →
ancient13–100.0113%1 Jul →
cache13–10-0.0515%1 Jul →
dust211–13-0.0116%1 Jul →
dust27–130.0213%27 Jun →
dust211–13-0.0120%27 Jun →
cache9–130.0517%26 Jun →
mirage13–100.0525%26 Jun →
inferno6–13-0.0417%25 Jun →
cache13–110.0217%23 Jun →
dust23–13-0.0416%23 Jun →
dust213–20.1524%23 Jun →
dust213–9-0.0416%23 Jun →
mirage1–13-0.090%23 Jun →
cache13–10.0221%20 Jun →
mirage11–13-0.0615%20 Jun →
dust29–3-0.005%20 Jun →
dust213–6-0.0117%16 Jun →
anubis15–15-0.0319%16 Jun →
mirage9–130.0516%16 Jun →
dust213–10-0.0128%12 Jun →
cache9–13-0.0420%12 Jun →
mirage9–2-0.036%12 Jun →
overpass13–80.0116%12 Jun →
anubis9–13-0.0410%12 Jun →
dust213–9-0.0524%12 Jun →
anubis10–13-0.0115%10 Jun →
dust213–8-0.0636%10 Jun →
cache11–13-0.0414%10 Jun →
ancient13–2-0.0210%10 Jun →
mirage12–120.0325%10 Jun →
ancient13–10.0326%2 Jun →
cache4–130.0314%2 Jun →
dust28–130.0118%2 Jun →
vertigo7–13-0.0414%30 May →
cache12–120.0112%30 May →
anubis15–150.0117%30 May →
mirage13–90.0518%30 May →
ancient12–120.0622%30 May →
nuke13–90.0216%28 May →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.