Calma

Calma — CS2 Stats

76561198091346643[U:1:131080915]Steam profile ↗✓ No bans

3,091Tracked matches57%Win rate2020Tracked since
CSDB Rating6.1 SolidSupport
Premier CS Rating18,719Top 50% of 204,412 CSDB-tracked playersPurple band · top ~13.6% of ranked players (population est.)
CSDB Leaderboard#99207 of 251774 tracked
FaceitLevel 9 · 1,972 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

−346Premier CS Rating · 19,065 → 18,719

Rating over time

Premier CS Rating: 18,719 -652 8 Jun – 14 Oct · 40 days played
13,61819,700peak 19,7008 Jun14 Oct
Faceit ELO: 1,972 +0 4 Sept – 21 Sept · 4 observations
1,9721,972peak 1,9724 Sept21 Sept
19,876Peak Premier in tracked matches
1,972Highest Faceit ELO seen on CSDB
39Days played since 2026-06-08

Faceit ELO

  • At peak — 1,972
  • Next: Level 10 at 2,001 — 29 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-04
  • Level 8 first seen 2026-09-04

Premier CS Rating

  • 981 below peak (19,700)
  • +315 over 30 days · steady
  • +5,101 over 90 days
  • Next: Pink band at 20,000 — 1,281 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-04
  • Blue band first seen 2026-09-04

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGCalmaFACEITLevel 9 · 1,972 ELOSTANDINGTop 20.7% of rankedPREMIER18,719 · Purple bandPEAK ELO1,972csdb.gg/stats

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Performance scores

Aim79
Positioning49
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY51–48–1Last 10051%Win rateLLWWLWLLWW

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · −0.4pp headshot accuracy · −114ms 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 18%
  • Avg reaction 544ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 548ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 605ms

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 (+1.1 against its own average).

Aim7.9
Utility4.9
Positioning4.9
Opening Duels1.5

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

b1t

Plays most like b1t 94% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

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

Reaction time. 620ms 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

Aim7.9
Positioning4.9
Utility4.9
Mechanics7.7
Opening Duels1.3
Win Impact7.2

Composite 6.1/10 (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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time617ms−44ms
first ⅓ avg 661ms → last ⅓ avg 617ms
Headshot accuracy19.0%−2.4%
first ⅓ avg 21.4% → last ⅓ avg 19.0%

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

0.18Best match rating · 13–4 · ancient, 25 Jun →
47%Best headshot accuracy · 5–13 · inferno, 24 Jun →
422msFastest reaction time · 13–5 · anubis, 24 Jul →
13–1Biggest win · anubis, 28 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
11–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 86% over 7infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C208–1240%0.01
mirageC167–944%0.01
ancientB157–847%0.01
anubisS1310–377%0.03
nukeB137–654%0.00
infernoD103–730%-0.01
cacheS76–186%-0.00
overpassB63–350%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno 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.

19.3%Headshot accuracy
37.6%Accuracy (enemy spotted)
41.5%Spray accuracy
84.5%Counter-strafing
9.6°Preaim
620msReaction time
33.7%T opening success
36.6%CT opening success
0.45Enemies flashed / flash
5.0%Flash assists
6.47HE damage / grenade
10.80Flashes / 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 0.453 — 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 33.7457% — below the 40% mark we flag

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.

30% 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
inferno6–13-0.0013%14 Oct →
dust22–6-0.0421%25 Sept →
cache13–10-0.0314%25 Sept →
anubis13–90.1018%19 Sept →
dust210–13-0.0124%19 Sept →
inferno13–20.0831%2 Sept →
mirage10–13-0.0117%2 Sept →
anubis5–13-0.0216%31 Aug →
cache13–6-0.008%31 Aug →
anubis13–70.1022%31 Aug →
mirage10–13-0.0312%30 Aug →
cache6–13-0.0617%24 Aug →
ancient13–100.0438%24 Aug →
cache13–9-0.0214%22 Aug →
anubis13–6-0.0411%22 Aug →
nuke13–11-0.0028%22 Aug →
ancient7–13-0.036%22 Aug →
dust28–130.0015%20 Aug →
cache13–10-0.0419%20 Aug →
mirage13–80.0129%19 Aug →
nuke16–130.0115%19 Aug →
anubis13–100.0213%18 Aug →
dust21–13-0.0914%18 Aug →
dust216–13-0.0113%17 Aug →
nuke5–40.0425%17 Aug →
ancient13–7-0.0124%17 Aug →
mirage11–13-0.0421%16 Aug →
nuke13–110.0531%16 Aug →
ancient8–130.0126%16 Aug →
mirage3–13-0.0930%31 Jul →
anubis13–110.0515%31 Jul →
nuke16–130.0016%31 Jul →
dust213–11-0.0413%27 Jul →
anubis13–50.0013%24 Jul →
nuke15–15-0.0238%24 Jul →
inferno13–70.0139%24 Jul →
cache13–50.0621%21 Jul →
anubis5–13-0.0111%21 Jul →
dust29–130.0224%21 Jul →
mirage11–13-0.0124%20 Jul →
ancient16–14-0.0116%20 Jul →
nuke13–10-0.0329%19 Jul →
mirage13–50.0523%16 Jul →
ancient4–13-0.009%16 Jul →
nuke13–8-0.029%15 Jul →
anubis13–11-0.0415%15 Jul →
cache13–20.0720%14 Jul →
mirage8–10.0142%14 Jul →
mirage9–13-0.018%14 Jul →
nuke2–13-0.0322%13 Jul →
inferno5–13-0.0114%13 Jul →
ancient11–13-0.0121%1 Jul →
dust213–80.0520%1 Jul →
anubis13–50.0318%1 Jul →
inferno7–13-0.0329%30 Jun →
dust211–13-0.0419%29 Jun →
anubis13–10.1121%28 Jun →
mirage13–20.0613%28 Jun →
mirage9–13-0.0214%25 Jun →
nuke7–13-0.0617%25 Jun →
dust26–130.0929%25 Jun →
inferno9–13-0.0337%25 Jun →
nuke9–13-0.0020%25 Jun →
ancient13–40.1834%25 Jun →
overpass7–10.0919%24 Jun →
dust210–130.0926%24 Jun →
dust213–20.0435%24 Jun →
inferno5–13-0.0547%24 Jun →
mirage14–16-0.0331%24 Jun →
mirage9–130.0313%24 Jun →
ancient7–130.0233%24 Jun →
overpass11–130.0224%24 Jun →
ancient13–8-0.0221%23 Jun →
dust27–13-0.0532%23 Jun →
anubis14–16-0.0115%23 Jun →
dust211–130.0339%23 Jun →
inferno13–110.0122%23 Jun →
mirage13–110.0532%18 Jun →
dust212–16-0.0015%17 Jun →
ancient11–13-0.0016%16 Jun →
dust213–80.1114%16 Jun →
overpass2–13-0.0811%16 Jun →
overpass13–60.0711%16 Jun →
ancient13–8-0.0518%16 Jun →
anubis13–20.0725%15 Jun →
ancient10–130.0524%15 Jun →
nuke8–130.0715%15 Jun →
overpass13–8-0.0518%15 Jun →
mirage16–140.0818%15 Jun →
ancient13–100.0720%14 Jun →
ancient4–13-0.0221%13 Jun →
inferno3–13-0.0712%13 Jun →
dust214–16-0.0125%11 Jun →
inferno10–130.0110%11 Jun →
dust213–11-0.0524%9 Jun →
overpass2–13-0.0324%9 Jun →
mirage13–50.1320%9 Jun →
dust213–60.0418%8 Jun →
nuke5–130.0017%8 Jun →
dust213–80.0120%8 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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