Cidala

Cidala — CS2 Stats

US76561198045544862[U:1:85279134]Steam profile ↗✓ No bans

93Tracked matches56%Win rate2023Tracked since
CSDB Rating4.7 DevelopingPositional Player
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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Performance scores

Aim54
Positioning37
Utility22

0–100 skill scores via Leetify.

Recent form

STEADY60245Last 8967%Win rateLWLWLLWWTL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +2.7pp headshot accuracy · +38ms reaction

Win rate down 20pp 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

  • 23 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 633ms

Last 10

  • 451 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 653ms

Last 20

  • 1082 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 633ms

Newest first, from the last 89 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional PlayerPositioning stands above the rest of this profile (+1.7 against its own average).

Aim5.4
Utility2.2
Positioning3.7
Opening Duels0.0

Excellent counter-strafingStrong CT-side openerLimited 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

sh1ro

Plays most like sh1ro 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 34% on CT to 14% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 651ms 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

Aim5.4
Positioning3.7
Utility2.2
Mechanics8.5
Opening Duels0.5
Win Impact6.9

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 rating-0.03−0.05
first ⅓ avg 0.02 → last ⅓ avg -0.03
Reaction time642ms−38ms
first ⅓ avg 680ms → last ⅓ avg 642ms
Headshot accuracy15.1%−1.6%
first ⅓ avg 16.7% → last ⅓ avg 15.1%

Rolling 5-match average across the last 89 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.16Best match rating · 13–3 · mirage, 12 Nov
34%Best headshot accuracy · 13–2 · agency, 7 Jun
477msFastest reaction time · 5–0 · overpass, 19 Mar
13–0Biggest win · dust2, 14 Nov

Across the last 89 tracked matches.

Highlights

22Longest win streak
14In matches decided by ≤2 rounds
3Overtime games

Map breakdown

agencyBest map · 80% over 5dust2Weakest map · 55% over 11
MapGradePlayedRecordWin rateAvg rating
nukeS1611569%-0.03
dust2A116555%0.00
ancientA85363%-0.02
overpassA85363%0.01
anubisS75271%-0.01
mirageS64267%0.01
cacheS64267%-0.02
agencyS54180%-0.00
vertigoA53260%-0.02
inferno440100%0.03
train330100%-0.04
grail31233%-0.02
jura220100%0.02
italy21150%-0.01
stronghold110100%0.05
alpine1010%-0.06
office110100%0.05

Across the last 89 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (55% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.6%Headshot accuracy
31.2%Accuracy (enemy spotted)
31.1%Spray accuracy
88.2%Counter-strafing
10.8°Preaim
651msReaction time
13.8%T opening success
33.9%CT opening success
0.44Enemies flashed / flash
3.5%Flash assists
10.46HE damage / grenade
2.29Flashes / 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 0.4412 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 13.8108% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust23–13-0.018%30 Jul
nuke13–8-0.0913%22 May
mirage9–13-0.0216%22 May
ancient13–7-0.0516%22 May
ancient1–7-0.0321%22 May
cache1–13-0.0611%22 May
anubis13–2-0.0115%17 May
cache13–110.0225%17 May
nuke12–12-0.0815%17 May
mirage10–13-0.0616%17 May
dust212–12-0.0412%17 May
cache5–13-0.0510%11 May
cache13–8-0.039%11 May
stronghold13–40.0513%10 May
nuke13–7-0.0626%10 May
cache13–6-0.0312%9 May
alpine6–13-0.068%9 May
cache13–50.0318%9 May
ancient11–130.0116%4 Apr
nuke13–10-0.074%4 Apr
dust29–13-0.0414%28 Mar
nuke13–6-0.0117%28 Mar
nuke8–13-0.0717%25 Mar
dust213–4-0.027%24 Mar
nuke14–16-0.0521%24 Mar
train13–100.0116%19 Jan
ancient13–90.0115%19 Jan
dust213–7-0.0424%19 Jan
nuke6–13-0.0521%19 Jan
overpass12–120.0824%25 Jun
jura13–30.0223%25 Jun
grail10–130.0214%23 Jun
agency7–130.0219%23 Jun
ancient4–13-0.0721%22 Jun
vertigo4–13-0.0616%22 Jun
nuke10–13-0.018%22 Jun
nuke13–50.0322%21 Jun
overpass13–40.0525%21 Jun
ancient16–13-0.0510%21 Jun
inferno13–5-0.0314%21 Jun
mirage13–10.0115%21 Jun
dust25–130.0015%21 Jun
anubis15–15-0.0516%21 Jun
train11–2-0.088%21 Jun
dust211–13-0.0616%13 Jun
anubis13–10-0.0318%13 Jun
ancient13–9-0.0310%13 Jun
agency13–90.0315%13 Jun
ancient13–60.0516%13 Jun
italy11–13-0.0116%13 Jun
nuke13–10-0.0517%13 Jun
jura13–60.0119%10 Jun
agency13–4-0.0313%10 Jun
grail9–13-0.069%7 Jun
agency13–20.0334%7 Jun
train13–9-0.0510%7 Jun
nuke13–4-0.0218%22 May
agency13–1-0.0620%22 May
grail13–4-0.017%22 May
italy13–7-0.0223%12 May
overpass12–12-0.0117%9 May
anubis7–13-0.0517%9 May
dust213–10-0.0714%9 May
overpass13–6-0.0025%13 Apr
nuke13–30.0311%19 Mar
overpass7–13-0.1021%19 Mar
vertigo1–13-0.073%19 Mar
nuke13–7-0.0310%19 Mar
overpass5–00.0318%19 Mar
inferno6–10.0813%19 Mar
mirage13–80.0024%19 Mar
vertigo13–60.0213%15 Nov
anubis13–10.0219%15 Nov
nuke13–100.0113%15 Nov
dust213–50.0616%15 Nov
vertigo13–10.0121%14 Nov
dust213–00.1513%14 Nov
inferno13–50.0530%14 Nov
mirage13–2-0.0430%14 Nov
overpass13–4-0.0215%13 Nov
office13–60.0512%13 Nov
vertigo13–10.0132%13 Nov
anubis13–20.0310%13 Nov
nuke13–30.0528%13 Nov
anubis13–10.0416%12 Nov
inferno9–10.039%12 Nov
mirage13–30.1610%12 Nov
dust213–50.1013%12 Nov
overpass13–80.0213%12 Nov

Match data via Leetify.

Recent teammates

Milestones

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