Cal :)

Cal :) — CS2 Stats

76561198382147750[U:1:421882022]Steam profile ↗✓ No bans

8,947Tracked matches50%Win rate2020Tracked since
CSDB Rating7.0 StrongSupport
FaceitLevel 10 · 2,659 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGCal :)FACEITLevel 10 · 2,659 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim89
Positioning58
Utility72

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateLWWLLWWLLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −1.8pp headshot accuracy · −35ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 511ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 479ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 496ms

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: Support — Utility contribution stands above the rest of this profile (+1.9 against its own average).

Aim8.9
Utility7.2
Positioning5.8
Opening Duels4.5
Clutch3.6

Sharp aimerStrong 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

ZywOo

Plays most like ZywOo 93% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 61% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.9
Positioning5.8
Utility7.2
Mechanics7.2
Opening Duels3.9
Win Impact5.0

Composite 7.0/10 (Strong), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time509ms−97ms
first ⅓ avg 606ms → last ⅓ avg 509ms
Headshot accuracy22.7%+0.5%
first ⅓ avg 22.2% → last ⅓ avg 22.7%

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.

Personal bests

0.26Best match rating · 9–1 · nuke, 28 Mar →
67%Best headshot accuracy · 0–4 · vertigo, 11 Mar →
375msFastest reaction time · 13–4 · cache, 23 Aug →
13–0Biggest win · nuke, 15 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
9–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 62% over 21cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
ancientB2413–1154%0.02
nukeA2113–862%0.03
anubisA2011–955%0.02
infernoB178–947%-0.01
cacheD72–529%-0.02
vertigo—42–250%0.02
mirage—30–30%-0.02
train—11–0100%0.02
overpass—11–0100%0.05
office—11–0100%0.09
dust2—10–10%0.04

Across the last 100 tracked matches.

Faceit stats

Combat

7,677Matches
51%Win rate
1.09Avg K/D
88.5ADR
50%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient179054%1.1518.4
Anubis128450%1.0717.1
Inferno72749%1.1016.8
Nuke70350%1.1217.2
Vertigo33952%1.1217.9
Train28153%1.1518.1
Mirage25446%1.0016.3
Overpass14849%0.9315.2

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.

21.7%Headshot accuracy
42.0%Accuracy (enemy spotted)
39.7%Spray accuracy
82.5%Counter-strafing
10.0°Preaim
509msReaction time
30.0%T opening success
60.9%CT opening success
0.69Enemies flashed / flash
14.8%Flash assists
11.18HE damage / grenade
7.16Flashes / 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. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 29.9972% — below the 40% mark we flag

Spend your practice time on Cache

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke14–16-0.0121%5 Oct →
anubis28–260.0516%5 Oct →
ancient13–90.0619%25 Sept →
cache11–13-0.0812%11 Sept →
nuke11–13-0.0027%7 Sept →
ancient13–6-0.0311%3 Sept →
anubis13–40.0442%1 Sept →
ancient10–130.0111%31 Aug →
inferno7–130.0426%30 Aug →
inferno6–13-0.0521%29 Aug →
ancient13–90.0417%24 Aug →
nuke13–30.0331%24 Aug →
cache13–4-0.0629%23 Aug →
anubis8–13-0.0213%23 Aug →
cache11–130.0218%22 Aug →
nuke7–13-0.0716%21 Aug →
inferno9–13-0.0223%21 Aug →
ancient4–130.0327%18 Aug →
nuke13–20.0624%17 Aug →
anubis13–50.0825%17 Aug →
nuke13–00.0936%15 Aug →
nuke9–130.0431%15 Aug →
anubis13–60.1729%15 Aug →
ancient10–130.0022%14 Aug →
cache7–13-0.0022%14 Aug →
ancient13–70.0822%14 Aug →
nuke13–10.1013%12 Aug →
inferno13–9-0.0520%10 Aug →
nuke11–00.0453%10 Aug →
ancient5–13-0.0412%10 Aug →
ancient10–130.0124%7 Aug →
ancient1–13-0.0720%7 Aug →
mirage4–13-0.0317%7 Aug →
vertigo13–30.0621%7 Aug →
nuke3–130.0118%5 Aug →
mirage11–13-0.0210%5 Aug →
nuke10–13-0.0316%4 Aug →
anubis6–130.0431%4 Aug →
ancient13–70.0114%30 Jul →
anubis15–150.0318%30 Jul →
ancient13–50.0617%29 Jul →
anubis13–50.0011%25 Jul →
inferno11–130.0214%25 Jul →
nuke13–40.0131%25 Jul →
nuke7–13-0.0113%24 Jul →
inferno13–11-0.0932%18 Jul →
ancient7–130.0122%18 Jul →
ancient13–70.0616%12 Jul →
inferno4–13-0.0715%12 Jul →
ancient4–13-0.0813%12 Jul →
ancient9–13-0.0225%9 Jul →
cache10–130.0327%6 Jul →
anubis3–13-0.1027%6 Jul →
anubis8–13-0.0124%5 Jul →
anubis16–120.016%4 Jul →
ancient13–4-0.0218%2 Jul →
anubis13–8-0.0118%1 Jul →
nuke16–130.0817%26 Jun →
inferno13–90.0314%23 Jun →
anubis13–110.0414%22 Jun →
nuke13–110.0832%14 Jun →
nuke13–10-0.0418%13 Jun →
anubis6–130.0317%11 Jun →
anubis4–13-0.0635%5 Jun →
inferno3–13-0.0422%1 Jun →
ancient10–130.1119%31 May →
inferno13–11-0.0037%31 May →
inferno14–16-0.0214%30 May →
cache13–8-0.0210%18 May →
nuke6–13-0.0216%11 May →
anubis13–100.0119%11 May →
mirage15–150.0018%6 May →
ancient13–40.0329%22 Apr →
ancient13–70.0421%5 Apr →
inferno13–70.0222%4 Apr →
inferno9–70.0927%28 Mar →
vertigo3–9-0.0317%28 Mar →
nuke9–10.2619%28 Mar →
inferno9–60.0230%28 Mar →
train13–40.0225%26 Mar →
nuke13–10-0.0326%19 Mar →
ancient13–60.0511%19 Mar →
overpass13–50.0524%12 Mar →
vertigo0–40.0267%11 Mar →
nuke13–100.0435%11 Mar →
anubis8–130.0113%11 Mar →
ancient13–60.0519%10 Mar →
inferno13–9-0.0224%5 Mar →
office13–30.0934%4 Mar →
ancient10–130.0231%4 Mar →
anubis11–13-0.0713%4 Mar →
inferno4–13-0.097%3 Mar →
anubis16–140.0315%1 Mar →
inferno10–130.0217%1 Mar →
vertigo14–130.0226%1 Mar →
cache8–13-0.0045%28 Feb →
anubis13–80.0813%28 Feb →
nuke13–11-0.0115%27 Feb →
ancient13–8-0.0411%26 Feb →
dust210–130.0419%24 Feb →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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