Xirad

Xirad — CS2 Stats

IR76561198300159731[U:1:339894003]Steam profile ↗✓ No bans

473Tracked matches39%Win rate2021Tracked since
CSDB Rating4.7 DevelopingClutch Specialist
Premier CS Rating16,643Purple band · top ~21.9% of ranked players (population est.)
WingmanGold Nova III
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.

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

Rating over time

Premier CS Rating: 16,643 +1,644 23 Sept – 22 Oct · 6 days played
14,99916,643peak 16,64323 Sept22 Oct
16,748Peak Premier in tracked matches
41Days played since 2026-07-16

Premier CS Rating

  • At peak — 16,643
  • +1,644 over 30 days · improving
  • Next: Pink band at 20,000 — 3,357 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGXiradPREMIER16,643 · Purple bandcsdb.gg/stats

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Performance scores

Aim58
Positioning54
Utility29

0–100 skill scores via Leetify.

Recent form

COLD45–47–8Last 10045%Win rateTLLLTLLLLW

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +1.7pp headshot accuracy · −44ms reaction

Win rate down 30pp 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

  • 0–3–2 · 0% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 538ms

Last 10

  • 1–7–2 · 10% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 524ms

Last 20

  • 5–13–2 · 25% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 545ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.5 against its own average).

Aim5.8
Utility2.9
Positioning5.4
Opening Duels3.6
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 89% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

T openings. 63% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 63% on T to 40% on CT — first contacts on the defending side are being lost.

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

Aim5.8
Positioning5.4
Utility2.9
Mechanics4.8
Opening Duels5.4
Win Impact1.4

Composite 4.7/10 (Developing), 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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time546ms−26ms
first ⅓ avg 572ms → last ⅓ avg 546ms
Headshot accuracy12.6%−1.1%
first ⅓ avg 13.7% → last ⅓ avg 12.6%

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

0.25Best match rating · 13–6 · office, 10 Sept →
38%Best headshot accuracy · 5–3 · vertigo, 8 Oct →
391msFastest reaction time · 3–13 · dust2, 17 Oct →
13–1Biggest win · anubis, 20 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
4–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

officeBest map · 73% over 11infernoWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
mirageC177–1041%0.01
cacheB126–650%0.02
officeS118–373%0.04
ancientS107–370%0.05
infernoD101–910%0.00
anubisS96–367%0.01
dust2D93–633%-0.01
vertigoD72–529%0.01
nukeD62–433%0.02
overpassB63–350%0.01
shelter—20–20%0.00
italy—10–10%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

10Matches
30%Win rate
1.12Avg K/D
98.8ADR
39%Headshot %

Clutches & streaks

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

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage520%1.3519.4
Ancient250%1.1618.5
Dust21100%1.1317.0
Anubis10%0.6710.0

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.

12.1%Headshot accuracy
34.7%Accuracy (enemy spotted)
38.4%Spray accuracy
71.6%Counter-strafing
10.6°Preaim
545msReaction time
62.8%T opening success
40.4%CT opening success
0.31Enemies flashed / flash
5.1%Flash assists
7.82HE damage / grenade
3.92Flashes / 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 12.097% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3096 — 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.

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient12–120.0615%27 Oct →
mirage6–13-0.0110%26 Oct →
cache9–13-0.0210%26 Oct →
anubis8–13-0.0419%23 Oct →
cache12–120.0312%23 Oct →
mirage8–13-0.0316%23 Oct →
vertigo8–130.0216%23 Oct →
office3–9-0.049%22 Oct →
cache3–13-0.035%22 Oct →
ancient13–4-0.0118%22 Oct →
inferno8–13-0.057%22 Oct →
ancient13–50.1013%21 Oct →
mirage5–130.0210%21 Oct →
cache7–130.0217%20 Oct →
dust23–13-0.079%17 Oct →
mirage4–13-0.0517%16 Oct →
office13–80.1312%16 Oct →
cache13–80.017%15 Oct →
cache13–80.0010%15 Oct →
nuke4–13-0.0112%15 Oct →
overpass5–13-0.0112%15 Oct →
anubis4–13-0.0712%15 Oct →
dust213–50.047%15 Oct →
anubis13–7-0.0011%13 Oct →
ancient13–40.1513%9 Oct →
vertigo11–13-0.0413%8 Oct →
vertigo5–30.0238%8 Oct →
mirage13–40.0910%8 Oct →
anubis13–10-0.036%8 Oct →
italy1–13-0.0713%7 Oct →
overpass13–40.0312%7 Oct →
cache13–110.0513%5 Oct →
mirage10–130.0414%5 Oct →
mirage13–90.057%5 Oct →
mirage4–13-0.0114%4 Oct →
inferno7–130.039%1 Oct →
vertigo6–13-0.017%1 Oct →
mirage12–120.0111%29 Sept →
dust22–13-0.0117%28 Sept →
ancient13–70.1212%25 Sept →
nuke1–130.0022%25 Sept →
office13–60.115%25 Sept →
inferno12–120.0810%24 Sept →
overpass13–30.0214%24 Sept →
inferno11–130.0416%24 Sept →
cache12–120.046%24 Sept →
office0–5-0.120%24 Sept →
nuke13–70.055%24 Sept →
overpass13–100.0510%23 Sept →
mirage13–6-0.0213%23 Sept →
nuke13–50.1411%20 Sept →
mirage13–80.0914%19 Sept →
mirage13–80.0610%19 Sept →
dust213–9-0.069%18 Sept →
office13–7-0.0316%18 Sept →
dust23–13-0.0415%17 Sept →
overpass9–130.017%17 Sept →
dust25–13-0.0320%17 Sept →
vertigo13–110.0911%17 Sept →
inferno4–13-0.1013%17 Sept →
office10–50.057%17 Sept →
office13–40.0230%17 Sept →
mirage8–13-0.0910%16 Sept →
mirage13–6-0.1010%14 Sept →
overpass1–13-0.036%14 Sept →
shelter9–13-0.0613%14 Sept →
office5–130.0514%14 Sept →
shelter2–130.0622%10 Sept →
office13–40.0312%10 Sept →
office13–60.2511%10 Sept →
office13–60.0111%10 Sept →
inferno2–13-0.0313%10 Sept →
ancient12–120.0612%8 Sept →
vertigo5–130.0130%8 Sept →
dust213–40.1424%7 Sept →
cache8–13-0.029%8 Aug →
mirage12–12-0.0418%6 Aug →
ancient11–13-0.0415%4 Aug →
nuke10–13-0.039%4 Aug →
mirage5–130.096%4 Aug →
anubis13–60.0111%3 Aug →
cache12–30.057%3 Aug →
mirage13–80.0517%3 Aug →
anubis13–80.0618%3 Aug →
ancient13–80.0114%3 Aug →
ancient13–60.0212%3 Aug →
inferno3–13-0.019%3 Aug →
inferno11–13-0.0113%2 Aug →
nuke5–13-0.0214%2 Aug →
inferno12–120.0216%1 Aug →
inferno13–50.0728%1 Aug →
dust211–13-0.039%1 Aug →
vertigo10–13-0.018%31 Jul →
cache13–110.0711%30 Jul →
anubis13–80.1214%30 Jul →
anubis12–160.0114%29 Jul →
ancient13–80.0515%29 Jul →
cache13–90.0418%20 Jul →
anubis13–10.079%20 Jul →
dust25–13-0.054%16 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 →

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