xa

xa — CS2 Stats

FR76561198372275494[U:1:412009766]Steam profile ↗✓ No bans

321Tracked matches42%Win rate2020Tracked since
1,421Hours in CS17Hrs last 2 wks
CSDB Rating5.6 SolidPositional Player
Premier CS Rating18,778Top 50% of 213,399 CSDB-tracked playersPurple band · top ~13.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,778 -46 30 Jul – 3 Nov · 19 days played
18,57620,191peak 20,19130 Jul3 Nov
20,417Peak Premier in tracked matches
33Days played since 2026-07-30

Premier CS Rating

  • 1,413 below peak (20,191)
  • +202 over 30 days · steady
  • -284 over 90 days
  • Next: Pink band at 20,000 — 1,222 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-02
  • Blue band first seen 2026-09-02

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate42.4%44.4%46.9%4.6% short
Shot accuracy10.2%11.9%13.0%2.8% short
Kill/death ratio0.861.031.080.22 short
Match win rate40.7%45.2%46.7%6.0% short

This profile sits below the typical Pink band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGxaPREMIER18,778 · Purple 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

Aim69
Positioning58
Utility47

0–100 skill scores via Leetify.

Recent form

COLD42–49–9Last 10042%Win rateLLLTWWLWLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +4.3pp headshot accuracy · −16ms 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

  • 1–3–1 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 552ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 26%
  • Avg reaction 570ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 579ms

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 (+1.3 against its own average).

Aim6.9
Utility4.7
Positioning5.8
Opening Duels3.7
Clutch3.8

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

m0NESY

Plays most like m0NESY 90% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 562ms 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

Aim6.9
Positioning5.8
Utility4.7
Mechanics5.6
Opening Duels5.4
Win Impact2.4

Composite 5.6/10 (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 rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time564ms−2ms
first ⅓ avg 565ms → last ⅓ avg 564ms
Headshot accuracy22.5%+4.0%
first ⅓ avg 18.5% → last ⅓ avg 22.5%

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

0.11Best match rating · 13–8 · inferno, 18 Oct →
44%Best headshot accuracy · 3–9 · inferno, 25 Oct →
328msFastest reaction time · 4–0 · inferno, 20 Aug →
13–3Biggest win · anubis, 27 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L3Current streak
6–6In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 67% over 15mirageWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
anubisS1510–567%0.01
dust2C156–940%-0.02
infernoC145–936%-0.01
ancientC135–838%0.01
cacheB126–650%0.01
mirageD103–730%-0.01
office—42–250%0.01
rush_001—41–325%-0.07
boulder—33–0100%0.04
overpass—30–30%-0.03
nuke—30–30%-0.03
train—21–150%-0.04
vertigo—20–20%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (30% over 10). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

47,663Lifetime kills
0.86K/D
2,748Matches
40.7%Match win rate
42.4%Headshot %
10.2%Shot accuracy
7,555MVPs
1,445Hours (in match)
1,555Bombs planted
1,283Bombs defused

Most-used weapons

Lifetime map wins

3,662inferno
2,471dust2
1,858nuke
1,202vertigo
950train
377office
161italy
157cbble

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

Faceit stats

Combat

97Matches
48%Win rate
1.02Avg K/D
83.6ADR
42%Headshot %

Clutches & streaks

39%1v1 clutch win
24%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1747%1.0716.7
Ancient1250%1.2016.8
Dust21136%0.8712.6
Nuke540%0.9616.0
Anubis540%1.1622.4
Inferno450%1.4515.0
Cache450%1.4617.5
Overpass2100%1.6018.0

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.

21.2%Headshot accuracy
32.6%Accuracy (enemy spotted)
35.2%Spray accuracy
75.1%Counter-strafing
9.5°Preaim
562msReaction time
50.0%T opening success
53.5%CT opening success
0.45Enemies flashed / flash
6.5%Flash assists
8.87HE damage / grenade
8.00Flashes / 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 0.4459 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis12–160.0222%3 Nov →
inferno10–13-0.0613%3 Nov →
anubis8–130.0819%31 Oct →
mirage12–12-0.0326%31 Oct →
inferno13–80.0118%31 Oct →
boulder13–60.0420%28 Oct →
inferno3–90.0144%25 Oct →
office13–100.0127%24 Oct →
ancient2–13-0.0531%24 Oct →
dust23–130.0038%24 Oct →
mirage8–13-0.0113%24 Oct →
mirage1–12-0.0427%24 Oct →
ancient13–70.0818%24 Oct →
inferno11–130.0526%24 Oct →
ancient6–13-0.0414%20 Oct →
anubis10–13-0.0918%20 Oct →
inferno13–80.1125%18 Oct →
dust213–5-0.0225%18 Oct →
cache12–120.0425%18 Oct →
inferno13–11-0.0326%16 Oct →
cache13–70.0124%16 Oct →
rush_0016–20.0533%11 Oct →
rush_0011–5-0.1133%11 Oct →
rush_0016–8-0.0315%11 Oct →
rush_0010–4-0.1820%11 Oct →
ancient12–12-0.0319%11 Oct →
cache9–13-0.0916%2 Oct →
office5–13-0.0415%1 Oct →
inferno12–12-0.0515%1 Oct →
mirage10–130.0616%27 Sept →
anubis13–30.0513%27 Sept →
anubis13–8-0.0112%27 Sept →
boulder13–9-0.0136%25 Sept →
cache10–13-0.0115%25 Sept →
inferno1–9-0.0625%24 Sept →
anubis10–13-0.0130%24 Sept →
overpass5–13-0.0917%24 Sept →
inferno10–13-0.0420%15 Sept →
train13–10-0.0330%13 Sept →
cache13–4-0.0125%13 Sept →
inferno13–9-0.0027%13 Sept →
vertigo12–120.0224%13 Sept →
dust212–120.0321%13 Sept →
dust213–8-0.0524%6 Sept →
mirage11–13-0.0722%6 Sept →
anubis6–2-0.0125%6 Sept →
office5–13-0.0218%5 Sept →
dust23–13-0.049%1 Sept →
mirage13–100.0410%31 Aug →
train12–12-0.0615%31 Aug →
anubis13–60.0231%30 Aug →
dust21–13-0.0735%30 Aug →
ancient6–13-0.068%30 Aug →
boulder13–50.1021%29 Aug →
inferno7–13-0.0513%29 Aug →
cache11–13-0.0135%29 Aug →
nuke3–9-0.0711%29 Aug →
vertigo12–120.0317%29 Aug →
office13–40.0827%29 Aug →
overpass9–130.0220%24 Aug →
inferno2–130.0213%24 Aug →
dust26–13-0.0316%23 Aug →
ancient9–130.0216%23 Aug →
inferno7–13-0.0012%22 Aug →
dust24–13-0.0229%22 Aug →
ancient13–110.0721%22 Aug →
dust213–50.0626%22 Aug →
anubis4–30.0023%22 Aug →
nuke4–13-0.0332%21 Aug →
anubis13–110.037%21 Aug →
anubis13–90.0112%21 Aug →
ancient13–10-0.0018%21 Aug →
cache11–130.0921%21 Aug →
cache13–80.0122%20 Aug →
dust213–11-0.0121%20 Aug →
ancient13–60.1116%20 Aug →
ancient13–70.0216%20 Aug →
cache13–70.0115%20 Aug →
dust213–11-0.0318%20 Aug →
inferno4–0-0.020%20 Aug →
anubis11–40.0116%20 Aug →
dust27–13-0.0719%19 Aug →
ancient8–13-0.0222%18 Aug →
ancient4–130.0220%17 Aug →
mirage13–100.0728%17 Aug →
cache10–130.029%17 Aug →
overpass9–13-0.0215%17 Aug →
dust213–6-0.0324%17 Aug →
ancient6–13-0.0314%16 Aug →
cache13–4-0.0019%16 Aug →
mirage13–8-0.0029%16 Aug →
anubis13–90.079%16 Aug →
anubis13–60.0817%3 Aug →
dust215–15-0.0321%3 Aug →
dust21–13-0.0115%30 Jul →
anubis3–13-0.0615%30 Jul →
mirage8–13-0.0620%30 Jul →
cache13–100.0423%30 Jul →
nuke11–130.0126%30 Jul →
mirage2–13-0.1129%30 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 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.