tempest

tempest — CS2 Stats

DE76561197971131297[U:1:10865569]Steam profile ↗✓ No bans

1,617Tracked matches48%Win rate2023Tracked since
CSDB Rating2.6 LearningSupport
Premier CS Rating2,905Grey band · top ~87.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (29 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 2,905 +375 2 Sept – 5 Oct · 8 days played
2,4943,096peak 3,0962 Sept5 Oct
3,248Peak Premier in tracked matches
26Days played since 2026-09-02

Premier CS Rating

  • 191 below peak (3,096)
  • +375 over 30 days · steady
  • Next: Light Blue band at 5,000 — 2,095 to go

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

Share this profile

CSDB.GGtempestPREMIER2,905 · Grey bandcsdb.gg/stats

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Performance scores

Aim13
Positioning34
Utility45

0–100 skill scores via Leetify.

Recent form

HOT37–58–5Last 10037%Win rateLWLLWWWWWW

Last 10 vs previous 10: +30pp win rate · −0.04 avg rating · −0.0pp headshot accuracy · −54ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.04), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 10%
  • Avg reaction 662ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 12%
  • Avg reaction 630ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 657ms

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 (+2.3 against its own average).

Aim1.3
Utility4.5
Positioning3.4
Opening Duels1.1
Clutch0.0

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 58% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

Reaction time. 686ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.3
Positioning3.4
Utility4.5
Mechanics2.9
Opening Duels2.6
Win Impact4.4

Composite 2.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05+0.01
first ⅓ avg -0.06 → last ⅓ avg -0.05
Reaction time685ms−42ms
first ⅓ avg 727ms → last ⅓ avg 685ms
Headshot accuracy11.6%+0.1%
first ⅓ avg 11.5% → last ⅓ avg 11.6%

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

0.04Best match rating · 13–5 · office, 30 Oct →
42%Best headshot accuracy · 5–13 · dust2, 27 Sept →
492msFastest reaction time · 5–13 · office, 21 Sept →
13–2Biggest win · anubis, 1 Nov →

Across the last 100 tracked matches.

Highlights

8Longest win streak
3–9In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 56% over 9ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
officeC218–1338%-0.03
mirageC166–1038%-0.05
dust2D123–925%-0.05
cacheB115–645%-0.06
infernoA95–456%-0.06
anubisC94–544%-0.05
nukeC83–538%-0.07
ancientD61–517%-0.06
train—31–233%-0.06
vertigo—21–150%-0.05
fachwerk—20–20%-0.08
boulder—10–10%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3Matches
33%Win rate
0.43Avg K/D
46.9ADR
33%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient250%0.407.5
Anubis10%0.508.0

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.

10.7%Headshot accuracy
22.7%Accuracy (enemy spotted)
24.6%Spray accuracy
63.2%Counter-strafing
10.8°Preaim
686msReaction time
40.0%T opening success
40.8%CT opening success
0.44Enemies flashed / flash
7.6%Flash assists
5.44HE damage / grenade
5.13Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.7369% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4416 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0213%2 Nov →
vertigo13–9-0.0510%2 Nov →
nuke4–13-0.130%2 Nov →
cache8–13-0.078%2 Nov →
dust213–7-0.0818%2 Nov →
train13–30.0013%1 Nov →
ancient13–3-0.0214%1 Nov →
nuke13–8-0.0616%1 Nov →
cache13–11-0.067%1 Nov →
inferno13–7-0.0914%1 Nov →
anubis13–20.019%1 Nov →
mirage13–4-0.038%1 Nov →
fachwerk11–13-0.059%1 Nov →
office6–130.0120%1 Nov →
fachwerk5–13-0.1120%31 Oct →
office6–13-0.015%31 Oct →
office6–13-0.0114%31 Oct →
office13–9-0.0312%31 Oct →
office13–50.046%30 Oct →
office6–13-0.0212%30 Oct →
office5–13-0.086%27 Oct →
office13–8-0.0112%27 Oct →
cache13–6-0.0513%26 Oct →
office6–13-0.055%26 Oct →
office3–13-0.1014%26 Oct →
train11–13-0.1017%26 Oct →
cache10–13-0.044%25 Oct →
anubis7–13-0.068%25 Oct →
mirage13–11-0.0911%25 Oct →
nuke12–12-0.093%25 Oct →
nuke12–12-0.0912%24 Oct →
office13–5-0.0733%24 Oct →
ancient12–120.0013%5 Oct →
inferno5–13-0.0810%5 Oct →
cache13–3-0.0118%5 Oct →
anubis13–9-0.0311%5 Oct →
dust22–13-0.085%4 Oct →
mirage5–13-0.0411%4 Oct →
inferno10–13-0.0311%3 Oct →
anubis11–13-0.097%3 Oct →
cache1–13-0.096%3 Oct →
mirage7–13-0.056%3 Oct →
office11–13-0.0210%3 Oct →
office13–4-0.0413%3 Oct →
office8–13-0.0816%3 Oct →
dust25–13-0.0416%2 Oct →
inferno13–5-0.079%2 Oct →
nuke13–7-0.0212%2 Oct →
dust24–13-0.0218%1 Oct →
mirage13–10-0.0412%1 Oct →
mirage11–13-0.0414%30 Sept →
anubis2–13-0.0313%30 Sept →
cache13–9-0.096%30 Sept →
inferno13–5-0.0716%29 Sept →
mirage10–13-0.113%29 Sept →
boulder4–13-0.0318%29 Sept →
office13–9-0.0211%29 Sept →
inferno11–13-0.0510%29 Sept →
office13–90.0410%28 Sept →
anubis10–13-0.0818%27 Sept →
dust25–13-0.0542%27 Sept →
ancient4–13-0.090%27 Sept →
cache13–7-0.0413%27 Sept →
mirage12–12-0.0512%27 Sept →
nuke7–13-0.0315%27 Sept →
inferno9–13-0.037%27 Sept →
vertigo8–13-0.0513%24 Sept →
anubis10–13-0.088%24 Sept →
dust28–13-0.0311%24 Sept →
nuke11–13-0.0416%23 Sept →
anubis13–3-0.0517%23 Sept →
cache6–13-0.079%23 Sept →
office10–13-0.0416%23 Sept →
dust28–13-0.1015%22 Sept →
mirage12–12-0.0222%22 Sept →
office5–13-0.062%21 Sept →
inferno13–6-0.076%21 Sept →
ancient11–13-0.086%21 Sept →
mirage8–13-0.066%21 Sept →
dust210–13-0.0811%21 Sept →
dust213–9-0.0819%20 Sept →
office10–13-0.0812%20 Sept →
ancient6–13-0.120%20 Sept →
cache10–13-0.062%20 Sept →
ancient6–13-0.085%20 Sept →
mirage13–10-0.037%20 Sept →
mirage13–7-0.055%20 Sept →
mirage4–13-0.0638%20 Sept →
anubis13–3-0.067%20 Sept →
mirage13–5-0.0713%20 Sept →
inferno13–11-0.0310%19 Sept →
train7–13-0.088%19 Sept →
nuke13–4-0.0710%18 Sept →
dust213–5-0.045%18 Sept →
mirage9–13-0.0718%18 Sept →
cache9–13-0.1010%18 Sept →
office13–2-0.0215%18 Sept →
mirage8–13-0.0215%17 Sept →
dust24–13-0.0118%17 Sept →
office5–13-0.0721%15 Sept →

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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