Xcal

Xcal — CS2 Stats

76561198409131738[U:1:448866010]Steam profile ↗✓ No bans

283Tracked matches31%Win rate2020Tracked since
324Hours in CS
CSDB Rating1.3 Learning
Ladder ranks via Leetify

Performance scores

Aim12
Positioning25
Utility8

0–100 skill scores via Leetify.

Recent form

COLD36595Last 10036%Win rateLLWLLLLLLW

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

Aim1.2
Aggression0.4
Utility0.8
Positioning2.5
Opening Duels0.0
Clutch0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Strengths & areas to improve

Areas to improve

Reaction time. 782ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim1.2
Positioning2.5
Utility0.8
Mechanics3.0
Opening Duels0.4
Win Impact0.0

Composite 1.3/10 (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-0.06−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.06
Reaction time787ms+1ms
first ⅓ avg 786ms → last ⅓ avg 787ms
Headshot accuracy9.7%−1.2%
first ⅓ avg 11.0% → last ⅓ avg 9.7%

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.

Highlights

0.11Best rating — mirage 2–5
130Biggest win — vertigo
6Longest win streak
L2Current streak
24In matches decided by ≤2 rounds
2Overtime games

Map breakdown

overpassBest map · 57% over 7nukeWeakest map · 24% over 17
MapGradePlayedRecordWin rateAvg rating
mirageB1910953%-0.03
nukeD1741324%-0.06
dust2C145936%-0.05
infernoD124833%-0.05
ancientD103730%-0.06
vertigoB84450%-0.03
cacheD72529%-0.05
overpassA74357%-0.05
train3030%-0.07
anubis3030%-0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (24% over 17). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,583Lifetime kills
0.68K/D
841Matches
36.3%Match win rate
24.4%Headshot %
12.2%Shot accuracy · Top 50% of tracked players
847MVPs
324Hours (in match)
558Bombs planted
91Bombs defused

Most-used weapons

Lifetime map wins

623dust2
589inferno
297nuke
126train
88vertigo
41office
12lake
8cbble

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

Faceit stats

Combat

3Matches
0%Win rate
0.34Avg K/D
39.1ADR
45%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage20%0.325.0
Dust210%0.386.0

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.

8.9%Headshot accuracy
27.2%Accuracy (enemy spotted)
29.9%Spray accuracy
63.6%Counter-strafing
11.1°Preaim
782msReaction time
22.0%T opening success
33.2%CT opening success
0.28Enemies flashed / flash
2.1%Flash assists
1.17HE damage / grenade
1.17Flashes / 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 8.8823% — below the 15% mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 782.3631ms — above the 700ms mark we flag

    Aim Training
  3. 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 0.2787 — below the 0.5 mark we flag

    Grenade Lineups
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.

24% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage1–13-0.057%8 Aug
ancient10–13-0.0511%8 Aug
cache6–00.0422%8 Aug
mirage7–13-0.0910%18 Jul
inferno4–13-0.053%18 Jul
ancient5–13-0.084%18 Jul
dust26–13-0.1412%18 Jul
train4–13-0.0213%18 Jul
cache3–13-0.077%18 Jul
vertigo13–5-0.059%18 Jul
nuke6–13-0.0111%18 Jul
mirage13–11-0.079%17 Jul
cache13–16-0.039%17 Jul
mirage13–11-0.074%17 Jul
cache14–16-0.045%16 Jul
cache13–10-0.109%16 Jul
inferno8–13-0.087%16 Jul
nuke13–6-0.047%10 Jul
ancient3–13-0.0613%10 Jul
cache5–13-0.078%10 Jul
mirage13–100.0012%9 Jul
mirage13–10.015%9 Jul
inferno12–12-0.085%8 Jul
mirage5–13-0.0710%19 Jun
cache2–8-0.0814%29 May
inferno8–13-0.0714%29 May
nuke4–13-0.130%18 May
nuke5–13-0.0915%17 Apr
train6–13-0.0816%17 Apr
mirage4–0-0.000%17 Apr
nuke7–12-0.0732%17 Apr
dust213–20.0213%17 Apr
vertigo5–13-0.106%14 Apr
dust212–120.0514%14 Apr
vertigo13–0-0.013%12 Apr
dust23–13-0.0614%12 Apr
dust21–13-0.0922%11 Apr
anubis7–13-0.0611%28 Mar
nuke5–13-0.109%28 Mar
ancient9–13-0.036%26 Mar
nuke7–130.0111%26 Mar
mirage13–5-0.068%25 Mar
ancient5–12-0.0910%25 Mar
nuke13–6-0.064%25 Mar
mirage9–13-0.093%24 Mar
mirage13–7-0.069%23 Mar
overpass13–6-0.065%23 Mar
nuke9–13-0.083%23 Mar
mirage6–130.008%23 Mar
mirage13–4-0.047%20 Mar
mirage13–8-0.048%14 Mar
vertigo13–10-0.0113%13 Mar
overpass13–6-0.083%13 Mar
overpass4–13-0.054%4 Mar
nuke6–13-0.0311%4 Mar
anubis8–13-0.125%3 Mar
nuke0–13-0.1117%26 Feb
train11–13-0.106%26 Feb
inferno2–13-0.085%26 Feb
ancient13–7-0.0514%24 Feb
dust213–6-0.053%24 Feb
dust213–6-0.0415%24 Feb
inferno8–13-0.0418%14 Feb
mirage8–130.0514%29 Jan
nuke13–10-0.056%21 Jan
mirage10–13-0.0511%10 Jan
vertigo13–30.0224%10 Jan
nuke8–13-0.057%24 Dec
dust27–13-0.105%21 Nov
mirage13–8-0.043%21 Nov
overpass3–110.058%21 Nov
dust213–1-0.0416%21 Nov
inferno4–13-0.057%21 Nov
vertigo9–13-0.031%20 Nov
overpass12–120.013%18 Nov
vertigo1–13-0.0633%14 Nov
mirage2–50.1125%14 Nov
dust210–13-0.0214%14 Nov
dust210–13-0.0811%13 Nov
inferno13–50.077%9 Nov
nuke1–13-0.024%7 Nov
nuke4–13-0.077%7 Nov
inferno3–13-0.0520%7 Nov
nuke13–10-0.0213%7 Nov
dust212–12-0.061%24 Oct
ancient8–13-0.107%24 Oct
vertigo12–12-0.0213%24 Oct
inferno13–6-0.022%24 Oct
mirage11–13-0.066%23 Oct
ancient8–13-0.0113%23 Oct
dust213–1-0.0310%21 Oct
nuke6–13-0.0216%18 Oct
anubis10–13-0.038%18 Oct
dust211–13-0.0217%18 Oct
overpass13–8-0.125%17 Oct
inferno13–10-0.078%17 Oct
overpass13–4-0.0518%17 Oct
ancient13–10-0.0310%17 Oct
inferno13–4-0.043%17 Oct
ancient13–3-0.0743%17 Oct

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 →