calista

calista — CS2 Stats

DE76561199084504412[U:1:1124238684]Steam profile ↗✓ No bans

732Tracked matches44%Win rate2021Tracked since
559Hours in CS
CSDB Rating5.3 DevelopingSupport
Premier CS Rating20,320Top 50% of 204,316 CSDB-tracked playersPink band · top ~8.1% of ranked players (population est.)
CSDB Leaderboard#76044 of 251456 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 732 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,320 -684 13 Feb – 26 Sept · 15 days played
20,32021,785peak 21,78513 Feb26 Sept
22,164Peak Premier in tracked matches
35Days played since 2026-02-13

Premier CS Rating

  • 1,465 below peak (21,785)
  • Next: Red band at 25,000 — 4,680 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-26
  • Purple band first seen 2026-09-26

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPink band medianRed band medianvs Red band
Headshot rate50.6%46.9%49.2%above
Shot accuracy17.0%13.0%13.4%above
Kill/death ratio0.861.081.120.26 short
Match win rate40.5%46.7%48.5%8.0% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGcalistaPREMIER20,320 · Pink bandcsdb.gg/stats

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Performance scores

Aim76
Positioning33
Utility53

0–100 skill scores via Leetify.

Recent form

COLD54–42–4Last 10054%Win rateLTWLLLLWLW

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +2.8pp headshot accuracy · +18ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 29%
  • Avg reaction 597ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 35%
  • Avg reaction 623ms

Last 20

  • 6–11–3 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 34%
  • Avg reaction 615ms

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 (+2 against its own average).

Aim7.6
Utility5.3
Positioning3.3
Opening Duels0.0
Clutch4.8

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 84% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; lower opening-duel success.

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 43 points — deaths here waste a strong aim profile.

Reaction time. 631ms 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

Aim7.6
Positioning3.3
Utility5.3
Mechanics7.6
Opening Duels0.0
Win Impact3.1

Composite 5.3/10 (Developing), 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 rating-0.03−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.03
Reaction time623ms+11ms
first ⅓ avg 612ms → last ⅓ avg 623ms
Headshot accuracy33.4%+4.1%
first ⅓ avg 29.3% → last ⅓ avg 33.4%

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

0.20Best match rating · 13–2 · mirage, 22 Apr →
59%Best headshot accuracy · 13–2 · mirage, 22 Apr →
422msFastest reaction time · 13–8 · nuke, 26 Apr →
13–2Biggest win · mirage, 22 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
3–5In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 90% over 10infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A2113–862%-0.00
nukeS1711–665%-0.01
mirageB168–850%0.00
cacheC135–838%-0.04
ancientS109–190%0.02
infernoD82–625%-0.03
anubisB63–350%0.03
overpassC52–340%0.02
vertigo—20–20%-0.02
fachwerk—10–10%0.03
train—11–0100%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,196Lifetime kills
0.86K/D
2,156Matches
40.5%Match win rate
50.6%Headshot % · Top 50% of Pink band
17.0%Shot accuracy · Top 25% of Pink band
4,755MVPs
559Hours (in match)
1,698Bombs planted
263Bombs defused

Most-used weapons

AK-4711,116
AWP4,487
MP9579
Knife550

Lifetime map wins

3,090nuke
1,617dust2
1,486inferno
1,155vertigo
620train
457cbble
155lake
108office

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

Faceit stats

Combat

104Matches
58%Win rate
1.14Avg K/D
75.8ADR
56%Headshot %

Clutches & streaks

44%1v1 clutch win
24%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust21362%0.9615.3
Nuke1275%1.0717.3
Mirage1040%0.9214.2
Ancient1070%1.2416.2
Anubis667%0.9817.5
Vertigo40%0.7815.0
Inferno3100%1.6112.7
Cache1100%0.5910.0

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.

32.5%Headshot accuracy
31.4%Accuracy (enemy spotted)
32.1%Spray accuracy
84.2%Counter-strafing
10.4°Preaim
631msReaction time
21.4%T opening success
25.0%CT opening success
0.49Enemies flashed / flash
7.0%Flash assists
9.43HE damage / grenade
10.37Flashes / 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 0.4908 — 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 21.4342% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust25–13-0.0429%13 Aug →
mirage12–12-0.0524%12 Aug →
mirage13–5-0.0530%5 Aug →
dust25–13-0.0030%5 Aug →
fachwerk7–130.0334%3 Aug →
cache5–13-0.0248%3 Aug →
vertigo2–13-0.0132%27 Jul →
dust213–50.0038%27 Jul →
anubis5–130.1048%27 Jul →
train13–40.0742%27 Jul →
cache9–130.0135%20 Jul →
nuke13–100.0230%20 Jul →
cache12–12-0.0726%20 Jul →
inferno13–4-0.0425%24 May →
cache4–130.0040%18 May →
cache1–13-0.0139%18 May →
cache12–12-0.0516%18 May →
overpass10–13-0.0338%18 May →
inferno14–16-0.0433%18 May →
inferno13–7-0.0443%18 May →
mirage2–13-0.0933%18 May →
inferno11–13-0.0632%4 May →
mirage3–9-0.1110%4 May →
ancient13–11-0.0232%4 May →
cache13–10-0.0634%3 May →
dust213–8-0.0539%3 May →
ancient13–7-0.0224%3 May →
cache13–8-0.0323%3 May →
cache13–9-0.0829%3 May →
cache3–13-0.0645%30 Apr →
cache2–13-0.1036%30 Apr →
cache13–3-0.0039%30 Apr →
cache13–11-0.0145%30 Apr →
inferno10–13-0.0036%29 Apr →
nuke13–8-0.0443%29 Apr →
nuke9–130.0326%29 Apr →
dust213–9-0.0428%28 Apr →
nuke13–6-0.0323%28 Apr →
overpass13–100.0440%28 Apr →
nuke13–80.0138%26 Apr →
ancient9–130.0226%25 Apr →
ancient13–100.0331%25 Apr →
mirage13–20.2059%22 Apr →
nuke4–13-0.0440%22 Apr →
anubis13–50.1026%22 Apr →
dust28–130.0245%22 Apr →
ancient13–90.0430%21 Apr →
mirage13–80.0536%21 Apr →
dust25–130.0221%21 Apr →
dust29–13-0.0324%11 Apr →
nuke8–13-0.0553%11 Apr →
ancient13–60.0432%11 Apr →
dust211–13-0.0421%11 Apr →
anubis13–30.0031%11 Apr →
ancient13–60.0640%10 Apr →
dust213–90.0528%10 Apr →
dust213–10-0.0431%10 Apr →
nuke13–50.0636%8 Apr →
dust25–13-0.0813%8 Apr →
ancient13–70.0643%8 Apr →
overpass13–9-0.0139%6 Apr →
dust213–80.0035%6 Apr →
anubis22–19-0.0327%6 Apr →
ancient13–30.0132%6 Apr →
dust213–4-0.0133%6 Apr →
mirage3–130.0723%28 Mar →
mirage4–13-0.0121%25 Mar →
mirage13–90.0634%25 Mar →
ancient6–00.0156%22 Mar →
nuke13–100.0131%22 Mar →
anubis13–160.0330%20 Mar →
nuke13–8-0.0128%20 Mar →
mirage9–130.0620%20 Mar →
nuke7–13-0.0627%19 Mar →
mirage13–4-0.0938%19 Mar →
dust213–100.0427%19 Mar →
mirage5–13-0.0729%4 Mar →
inferno3–13-0.1421%1 Mar →
nuke11–13-0.0420%1 Mar →
overpass6–130.0227%1 Mar →
dust213–90.0521%1 Mar →
dust212–16-0.0239%25 Feb →
mirage13–90.0026%25 Feb →
inferno10–130.0221%25 Feb →
nuke7–13-0.0612%25 Feb →
mirage13–80.0122%25 Feb →
dust213–40.0546%25 Feb →
inferno12–120.0435%23 Feb →
dust213–80.0232%23 Feb →
nuke13–90.0352%23 Feb →
vertigo9–13-0.0426%22 Feb →
anubis6–130.0043%22 Feb →
overpass11–130.0822%21 Feb →
dust213–50.0721%21 Feb →
nuke13–70.0331%19 Feb →
dust213–40.0130%14 Feb →
mirage7–13-0.0122%14 Feb →
mirage13–110.0227%13 Feb →
nuke13–70.0229%13 Feb →
nuke13–20.0222%13 Feb →

Match data via Leetify.

Recent teammates

Milestones

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

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