ImPottu

ImPottu — CS2 Stats

FI76561198141782204[U:1:181516476]Steam profile ↗✓ No bans

845Tracked matches62%Win rate2025Tracked since
701Hours in CS16Hrs last 2 wks
CSDB Rating3.7 LearningSupport
Premier CS Rating5,589Light Blue band · top ~76% of ranked players (population est.)
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (2 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: 5,589 +2,058 31 Aug – 3 Nov · 19 days played
3,5316,585peak 6,58531 Aug3 Nov
7,002Peak Premier in tracked matches
25Days played since 2026-08-31

Premier CS Rating

  • 996 below peak (6,585)
  • +1,479 over 30 days · improving
  • Next: Blue band at 10,000 — 4,411 to go
  • Reached: Light Blue band

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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate37.5%39.9%42.0%4.5% short
Shot accuracy0.3%7.0%9.6%9.3% short
Kill/death ratio0.600.920.980.37 short
Match win rate39.9%42.3%43.8%3.9% short

This profile sits below the typical Blue band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGImPottuPREMIER5,589 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim39
Positioning31
Utility51

0–100 skill scores via Leetify.

Recent form

COLD49–42–9Last 10049%Win rateLLWWLLLLWL

Last 10 vs previous 10: −70pp win rate · +0.01 avg rating · −4.8pp headshot accuracy · −79ms reaction

Win rate down 70pp 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 547ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 535ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 575ms

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 (+3.1 against its own average).

Aim3.9
Utility5.1
Positioning3.1
Opening Duels0.0
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

ZywOo

Plays most like ZywOo 71% 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. 555ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim3.9
Positioning3.1
Utility5.1
Mechanics4.0
Opening Duels0.3
Win Impact9.0

Composite 3.7/10 (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-0.04+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time556ms−48ms
first ⅓ avg 605ms → last ⅓ avg 556ms
Headshot accuracy15.2%+3.6%
first ⅓ avg 11.7% → last ⅓ avg 15.2%

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

0.08Best match rating · 5–1 · cache, 3 Oct →
38%Best headshot accuracy · 13–11 · inferno, 15 Oct →
391msFastest reaction time · 13–4 · anubis, 28 Oct →
13–1Biggest win · ancient, 21 Oct →

Across the last 100 tracked matches.

Highlights

11Longest win streak
L2Current streak
7–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 71% over 7ancientWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
cacheB158–753%-0.04
infernoC146–843%-0.05
nukeB136–746%-0.07
ancientD124–833%-0.06
vertigoA106–460%-0.04
dust2D93–633%-0.05
anubisB84–450%-0.04
mirageS75–271%-0.02
fachwerk—42–250%-0.01
office—32–167%-0.05
train—32–167%-0.04
overpass—21–150%-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,317Lifetime kills
0.60K/D
1,217Matches
39.9%Match win rate
37.5%Headshot %
0.3%Shot accuracy
1,373MVPs
382Hours (in match)
662Bombs planted
285Bombs defused

Most-used weapons

Lifetime map wins

1,561inferno
1,291dust2
1,277nuke
763vertigo
361train
286office
13italy
8ar_shoots

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

Faceit stats

Combat

6Matches
17%Win rate
0.46Avg K/D
51.3ADR
41%Headshot %

Clutches & streaks

0%1v1 clutch win
25%1v2 clutch win
1Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage20%0.417.5
Dust21100%0.8618.0
Nuke10%0.5511.0
Anubis10%0.406.0
Ancient10%0.132.0

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.

13.7%Headshot accuracy
29.0%Accuracy (enemy spotted)
28.5%Spray accuracy
68.1%Counter-strafing
11.0°Preaim
555msReaction time
32.4%T opening success
29.6%CT opening success
0.47Enemies flashed / flash
4.6%Flash assists
9.62HE damage / grenade
9.92Flashes / 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 13.6758% — 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 0.4737 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 32.3688% — below the 40% mark we flag

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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis10–13-0.038%3 Nov →
nuke12–16-0.053%28 Oct →
anubis13–40.077%28 Oct →
ancient13–7-0.0413%28 Oct →
nuke8–13-0.0613%28 Oct →
vertigo9–13-0.0321%27 Oct →
inferno1–13-0.1118%26 Oct →
nuke4–13-0.066%26 Oct →
dust213–11-0.0710%26 Oct →
dust22–13-0.097%26 Oct →
mirage13–5-0.0119%26 Oct →
anubis13–7-0.088%26 Oct →
cache13–70.006%26 Oct →
nuke13–4-0.0813%25 Oct →
inferno13–4-0.0628%25 Oct →
office13–11-0.0736%21 Oct →
ancient13–80.0112%21 Oct →
inferno13–10-0.1014%21 Oct →
nuke13–6-0.084%21 Oct →
ancient13–1-0.0813%21 Oct →
vertigo13–8-0.0110%20 Oct →
ancient15–15-0.0114%18 Oct →
cache13–10-0.0721%18 Oct →
anubis14–16-0.055%18 Oct →
cache9–13-0.0629%18 Oct →
vertigo13–5-0.0217%17 Oct →
mirage13–10-0.0017%17 Oct →
nuke10–13-0.077%17 Oct →
cache13–4-0.0220%17 Oct →
inferno8–13-0.0217%16 Oct →
inferno13–11-0.0138%15 Oct →
cache13–2-0.0026%15 Oct →
inferno7–13-0.0124%15 Oct →
vertigo11–13-0.067%15 Oct →
fachwerk13–10-0.064%13 Oct →
mirage1–13-0.0327%13 Oct →
vertigo13–3-0.0014%9 Oct →
train13–40.0213%9 Oct →
mirage13–10-0.0712%7 Oct →
train13–11-0.0812%7 Oct →
inferno13–20.0317%7 Oct →
cache12–12-0.094%7 Oct →
vertigo12–12-0.0419%7 Oct →
office13–7-0.0323%6 Oct →
nuke12–12-0.0817%6 Oct →
cache6–13-0.0912%6 Oct →
ancient11–13-0.089%6 Oct →
inferno15–15-0.0519%6 Oct →
ancient5–13-0.1215%6 Oct →
anubis13–11-0.0513%6 Oct →
fachwerk4–13-0.018%5 Oct →
dust213–9-0.0110%5 Oct →
inferno13–11-0.028%5 Oct →
mirage13–70.0315%5 Oct →
anubis13–7-0.0711%5 Oct →
dust213–8-0.0211%5 Oct →
cache13–8-0.075%4 Oct →
fachwerk11–130.0213%4 Oct →
overpass3–13-0.070%4 Oct →
inferno1–13-0.0911%4 Oct →
ancient7–13-0.070%3 Oct →
cache14–16-0.0511%3 Oct →
nuke9–13-0.1019%3 Oct →
train6–13-0.050%3 Oct →
cache5–10.0827%3 Oct →
nuke13–8-0.0516%3 Oct →
vertigo13–10-0.1011%3 Oct →
cache3–13-0.0533%2 Oct →
nuke7–13-0.0824%2 Oct →
ancient15–15-0.1017%2 Oct →
inferno7–130.0114%2 Oct →
dust24–130.036%2 Oct →
mirage6–13-0.0911%2 Oct →
mirage13–40.0215%2 Oct →
ancient10–13-0.0832%2 Oct →
vertigo11–13-0.136%1 Oct →
inferno13–7-0.0511%1 Oct →
nuke13–6-0.0716%1 Oct →
anubis12–12-0.056%1 Oct →
ancient13–60.079%1 Oct →
dust211–13-0.0710%1 Oct →
cache12–12-0.0614%30 Sept →
office12–12-0.0614%29 Sept →
overpass13–3-0.090%29 Sept →
vertigo13–3-0.060%29 Sept →
dust25–13-0.0412%29 Sept →
cache13–9-0.026%29 Sept →
fachwerk13–50.0110%29 Sept →
nuke13–6-0.0515%29 Sept →
inferno13–16-0.125%28 Sept →
ancient4–13-0.1210%28 Sept →
dust28–13-0.097%28 Sept →
inferno4–13-0.088%28 Sept →
anubis6–13-0.0717%28 Sept →
ancient5–13-0.0813%28 Sept →
nuke13–11-0.030%27 Sept →
cache13–6-0.070%27 Sept →
dust210–13-0.110%27 Sept →
cache2–13-0.0629%25 Sept →
vertigo13–70.0217%25 Sept →

Match data via Leetify.

Recent teammates

Milestones

500 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.