Calass

Calass — CS2 Stats

ES76561198989607025[U:1:1029341297]Steam profile ↗✓ No bans

700Tracked matches41%Win rate2021Tracked since
1,733Hours in CS24Hrs last 2 wks
CSDB Rating5.7 SolidPositional Player
Premier CS Rating19,999Purple band · top ~8.5% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGCalassFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER19,999 · Purple bandcsdb.gg/stats

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Performance scores

Aim76
Positioning58
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY54–42–4Last 10054%Win rateTWTWWWLLLL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +1.2pp headshot accuracy · +9ms reaction

Win rate 0pp 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

  • 3–0–2 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 18%
  • Avg reaction 464ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 475ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 470ms

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).

Aim7.6
Utility5.5
Positioning5.8
Opening Duels3.0
Clutch3.8

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 94% 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. 60% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 60% on T to 35% 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

Aim7.6
Positioning5.8
Utility5.5
Mechanics5.5
Opening Duels4.5
Win Impact1.9

Composite 5.7/10 (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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time516ms+18ms
first ⅓ avg 498ms → last ⅓ avg 516ms
Headshot accuracy16.3%+0.7%
first ⅓ avg 15.6% → last ⅓ avg 16.3%

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 · 13–7 · inferno, 11 Oct →
33%Best headshot accuracy · 5–13 · cache, 11 Nov →
375msFastest reaction time · 13–8 · anubis, 27 Oct →
13–2Biggest win · ancient, 14 Nov →

Across the last 100 tracked matches.

Highlights

10Longest win streak
9–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 68% over 25nukeWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2S2517–868%-0.00
infernoA1710–759%0.01
mirageB168–850%-0.01
cacheC167–944%-0.01
ancientB137–654%-0.00
anubisC73–443%-0.02
nukeD62–433%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,407Lifetime kills
1.04K/D
2,570Matches
48.2%Match win rate
40.8%Headshot %
9.3%Shot accuracy
4,843MVPs
909Hours (in match)
1,759Bombs planted
524Bombs defused

Most-used weapons

Lifetime map wins

4,383dust2
3,149inferno
1,252nuke
956vertigo
521train
110cbble
88office
56lake

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

Faceit stats

Combat

38Matches
55%Win rate
1.17Avg K/D
85.9ADR
41%Headshot %

Clutches & streaks

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

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1369%1.2616.6
Dust2933%0.9315.0
Anubis757%1.5123.0
Ancient450%1.1013.5
Inferno333%0.8415.0
Train1100%0.8612.0
Nuke1100%1.3121.0

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.

16.5%Headshot accuracy
38.2%Accuracy (enemy spotted)
40.7%Spray accuracy
74.7%Counter-strafing
10.8°Preaim
500msReaction time
60.4%T opening success
35.5%CT opening success
0.59Enemies flashed / flash
5.4%Flash assists
9.77HE damage / grenade
10.91Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.4901% — below the 40% mark we flag

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.

33% 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
mirage15–15-0.0326%14 Nov →
anubis13–70.0922%14 Nov →
dust215–150.0313%14 Nov →
ancient13–20.0716%14 Nov →
dust213–30.0812%14 Nov →
inferno13–110.0319%13 Nov →
ancient13–160.0415%12 Nov →
cache7–13-0.0110%11 Nov →
cache5–130.0233%11 Nov →
nuke10–130.0218%11 Nov →
nuke7–130.0110%10 Nov →
inferno13–30.0122%10 Nov →
mirage13–9-0.028%10 Nov →
dust213–30.0824%5 Nov →
dust26–13-0.0228%5 Nov →
inferno10–13-0.039%4 Nov →
mirage12–160.0320%4 Nov →
cache13–100.0313%4 Nov →
inferno9–13-0.0025%4 Nov →
nuke14–16-0.0312%4 Nov →
anubis8–13-0.013%4 Nov →
mirage16–14-0.019%3 Nov →
dust213–110.0119%3 Nov →
mirage6–13-0.0415%2 Nov →
cache15–150.0220%2 Nov →
mirage8–13-0.0319%2 Nov →
dust213–100.0011%1 Nov →
ancient9–130.0217%1 Nov →
ancient7–130.0428%1 Nov →
inferno3–13-0.054%31 Oct →
dust213–10-0.0515%31 Oct →
inferno13–8-0.0010%31 Oct →
mirage13–10-0.0814%31 Oct →
inferno13–50.0314%30 Oct →
inferno6–130.0124%30 Oct →
cache6–13-0.0614%30 Oct →
dust213–30.059%30 Oct →
anubis13–10-0.0316%29 Oct →
inferno5–13-0.046%28 Oct →
dust213–4-0.0212%28 Oct →
ancient13–6-0.0116%28 Oct →
cache0–13-0.0531%28 Oct →
cache13–20.0613%28 Oct →
cache13–2-0.0319%27 Oct →
nuke8–13-0.0319%27 Oct →
anubis13–8-0.0622%27 Oct →
inferno13–160.0514%17 Oct →
ancient13–9-0.0415%17 Oct →
inferno7–13-0.029%16 Oct →
ancient11–130.016%16 Oct →
ancient0–13-0.0514%16 Oct →
dust213–8-0.033%16 Oct →
mirage10–130.0120%15 Oct →
mirage13–100.079%15 Oct →
cache13–110.0311%15 Oct →
mirage13–40.0315%15 Oct →
dust211–130.0116%15 Oct →
dust213–40.0116%14 Oct →
inferno13–90.0413%14 Oct →
dust24–13-0.0513%14 Oct →
cache1–12-0.0314%14 Oct →
inferno13–7-0.0021%14 Oct →
mirage3–13-0.0316%14 Oct →
cache13–6-0.0110%13 Oct →
cache13–100.0415%13 Oct →
ancient6–13-0.0813%13 Oct →
dust213–100.0123%13 Oct →
mirage6–13-0.057%12 Oct →
mirage11–13-0.0722%12 Oct →
mirage13–40.0022%12 Oct →
inferno13–70.1112%11 Oct →
inferno13–5-0.0010%8 Oct →
dust213–10-0.056%7 Oct →
ancient13–50.0015%7 Oct →
mirage13–20.0419%7 Oct →
dust213–100.0419%7 Oct →
nuke16–14-0.0212%7 Oct →
nuke13–7-0.0620%7 Oct →
inferno13–11-0.0310%6 Oct →
dust29–130.0223%6 Oct →
dust26–130.0211%6 Oct →
ancient13–40.0416%6 Oct →
inferno13–100.0420%6 Oct →
cache15–15-0.0211%6 Oct →
dust213–11-0.0217%5 Oct →
ancient16–13-0.0213%4 Oct →
dust216–14-0.0419%4 Oct →
cache8–13-0.0619%4 Oct →
dust211–13-0.0425%3 Oct →
dust213–50.0113%1 Oct →
dust211–13-0.0120%1 Oct →
mirage13–60.104%1 Oct →
anubis10–13-0.0416%1 Oct →
anubis7–13-0.0513%1 Oct →
cache11–7-0.0120%1 Oct →
cache11–13-0.0413%30 Sept →
ancient13–8-0.0221%25 Sept →
dust213–11-0.0519%25 Sept →
dust213–9-0.0121%25 Sept →
anubis6–13-0.0212%25 Sept →

Match data via Leetify.

Recent teammates

Milestones

500 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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