Potkuri hepo

Potkuri hepo — CS2 Stats

FI76561199160254147[U:1:1199988419]Steam profile ↗✓ No bans

915Tracked matches43%Win rate2021Tracked since
1,078Hours in CS
CSDB Rating3.8 LearningPositional Player
Premier CS Rating14,298Blue band · top ~32.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 14,298 → 14,298
+4Tracked matches · now 915
−3.6ppWin rate · 46.4% → 42.9%
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. 17 days played since 30 Aug 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 14,298 -1,999 30 Aug19 Sept · 17 days played
14,29818,589peak 18,58930 Aug19 Sept
19,027Peak Premier in tracked matches
17Days played since 2026-08-30

Premier CS Rating

  • 4,291 below peak (18,589)
  • Next: Purple band at 15,000 702 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-19
  • Blue band first seen 2026-09-19

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 Blue band among CSDB-tracked players (n=20,242), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate36.7%41.9%44.3%7.7% short
Shot accuracy14.1%9.6%11.8%above
Kill/death ratio0.570.981.030.46 short
Match win rate40.4%43.8%45.2%4.8% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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

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CSDB.GGPotkuri hepoPREMIER14,298 · Blue bandcsdb.gg/stats

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Performance scores

Aim41
Positioning37
Utility32

0–100 skill scores via Leetify.

Recent form

COLD44506Last 10044%Win rateLWLLLLWLTW

Last 10 vs previous 10: −10pp win rate · −0.05 avg rating · −1.1pp headshot accuracy · −2ms 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

  • 14 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 18%
  • Avg reaction 741ms

Last 10

  • 361 · 30% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 13%
  • Avg reaction 704ms

Last 20

  • 7112 · 35% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 14%
  • Avg reaction 705ms

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: Positional PlayerPositioning stands above the rest of this profile (+1.4 against its own average).

Aim4.1
Utility3.2
Positioning3.7
Opening Duels0.0

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

NiKo

Plays most like NiKo 78% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 730ms 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

Aim4.1
Positioning3.7
Utility3.2
Mechanics8.3
Opening Duels0.5
Win Impact2.6

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.06−0.00
first ⅓ avg -0.06 → last ⅓ avg -0.06
Reaction time714ms−13ms
first ⅓ avg 727ms → last ⅓ avg 714ms
Headshot accuracy14.6%+0.3%
first ⅓ avg 14.3% → last ⅓ avg 14.6%

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

0.06Best match rating · 13–0 · cache, 6 Sept
35%Best headshot accuracy · 3–13 · dust2, 6 Sept
78msFastest reaction time · 3–13 · nuke, 18 Sept
13–0Biggest win · cache, 6 Sept

Across the last 100 tracked matches.

Highlights

5Longest win streak
83In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 67% over 9mirageWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
nukeA2112957%-0.05
infernoC2191243%-0.06
anubisD1551033%-0.04
ancientD134931%-0.06
mirageD113827%-0.07
dust2B105550%-0.07
cacheS96367%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,450Lifetime kills
0.57K/D
2,600Matches
40.4%Match win rate
36.7%Headshot %
14.1%Shot accuracy · Top 50% of Blue band
3,595MVPs
1,078Hours (in match)
3,995Bombs planted
493Bombs defused

Most-used weapons

Lifetime map wins

6,311nuke
4,147inferno
1,783dust2
1,423train
808vertigo
175lake
53cbble
41office

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

Skill profile

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

14.7%Headshot accuracy
30.9%Accuracy (enemy spotted)
32.0%Spray accuracy
87.4%Counter-strafing
11.8°Preaim
730msReaction time
33.7%T opening success
29.4%CT opening success
0.32Enemies flashed / flash
1.2%Flash assists
7.46HE damage / grenade
5.60Flashes / 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 14.6936% — below the 15% mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 729.8906ms — above the 700ms mark we flag

    Aim Training
  3. 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 0.3204 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Mirage

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.059%19 Sept
nuke13–11-0.1019%19 Sept
ancient3–13-0.0226%19 Sept
ancient4–13-0.1125%19 Sept
mirage14–16-0.119%18 Sept
nuke3–13-0.100%18 Sept
inferno13–9-0.136%18 Sept
nuke2–13-0.084%18 Sept
anubis15–15-0.0920%18 Sept
dust213–8-0.0413%18 Sept
inferno8–13-0.1312%18 Sept
nuke16–14-0.0317%18 Sept
ancient14–16-0.038%18 Sept
nuke7–13-0.0111%18 Sept
cache13–11-0.046%18 Sept
anubis4–13-0.0211%18 Sept
anubis15–150.008%18 Sept
nuke13–5-0.0224%18 Sept
dust213–5-0.0618%18 Sept
anubis10–13-0.0226%18 Sept
cache13–11-0.0913%17 Sept
mirage8–13-0.0525%17 Sept
inferno13–10-0.029%17 Sept
dust27–13-0.0617%17 Sept
nuke13–10-0.0122%17 Sept
inferno13–9-0.0625%17 Sept
anubis8–13-0.0411%17 Sept
anubis5–13-0.0819%17 Sept
anubis13–10-0.0720%16 Sept
inferno11–13-0.0715%16 Sept
cache13–8-0.109%14 Sept
inferno3–13-0.1017%14 Sept
inferno3–10-0.039%13 Sept
nuke13–7-0.0713%13 Sept
ancient10–13-0.0915%11 Sept
inferno9–13-0.0412%11 Sept
nuke15–15-0.0411%11 Sept
cache9–13-0.119%11 Sept
ancient13–10-0.0320%11 Sept
cache10–13-0.0313%11 Sept
nuke13–5-0.037%11 Sept
anubis13–30.039%11 Sept
ancient4–13-0.084%9 Sept
anubis10–13-0.0911%9 Sept
nuke5–13-0.0614%9 Sept
anubis13–4-0.058%8 Sept
ancient13–4-0.016%8 Sept
inferno3–13-0.0625%8 Sept
inferno13–6-0.0014%8 Sept
cache1–9-0.110%7 Sept
dust216–13-0.0418%7 Sept
anubis9–13-0.0213%7 Sept
inferno16–14-0.0118%6 Sept
dust23–13-0.1335%6 Sept
nuke6–13-0.089%6 Sept
ancient15–15-0.0220%6 Sept
cache13–6-0.0722%6 Sept
inferno9–130.0211%6 Sept
nuke8–13-0.0114%6 Sept
nuke13–11-0.066%6 Sept
mirage13–10-0.1113%6 Sept
mirage2–13-0.0812%6 Sept
anubis13–50.0123%6 Sept
ancient6–13-0.155%6 Sept
inferno7–13-0.119%6 Sept
anubis7–13-0.0411%6 Sept
cache13–00.0627%6 Sept
mirage13–7-0.027%6 Sept
mirage8–13-0.0724%6 Sept
mirage13–4-0.0833%5 Sept
ancient15–15-0.0818%5 Sept
inferno13–5-0.0515%5 Sept
dust213–10-0.035%5 Sept
inferno13–9-0.0625%5 Sept
ancient5–13-0.1013%5 Sept
anubis13–9-0.0014%5 Sept
inferno9–13-0.086%5 Sept
anubis7–13-0.0911%5 Sept
nuke13–9-0.0210%5 Sept
mirage5–13-0.0618%4 Sept
nuke10–13-0.0612%4 Sept
inferno13–100.0211%4 Sept
nuke13–4-0.096%4 Sept
inferno15–15-0.0623%4 Sept
nuke13–80.0118%4 Sept
cache13–6-0.0629%4 Sept
inferno9–13-0.0713%4 Sept
mirage10–13-0.0111%4 Sept
dust28–13-0.089%4 Sept
nuke13–11-0.0610%4 Sept
nuke13–8-0.0615%4 Sept
dust213–4-0.115%3 Sept
inferno13–10-0.095%3 Sept
ancient13–11-0.0817%3 Sept
dust210–13-0.1021%3 Sept
ancient13–40.0226%3 Sept
inferno4–13-0.149%2 Sept
mirage5–13-0.078%2 Sept
nuke9–13-0.0411%31 Aug
dust25–13-0.0816%30 Aug

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 →