polishpope

polishpope — CS2 Stats

76561197972078087[U:1:11812359]Steam profile ↗✓ No bans

1,173Tracked matches44%Win rate2020Tracked since
5,107Hours in CS10Hrs last 2 wks
CSDB Rating3.3 LearningSupport
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (38 days ago). Ranks are recorded once per day this page is viewed.

+17Tracked matches · now 1,173
−3.8ppWin rate · 48.3% → 44.4%

Rating over time

38Days played since 2026-07-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim45
Positioning22
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY32–60–8Last 10032%Win rateLWLLWLWWTL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −0.0pp headshot accuracy · +126ms 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 -0.06
  • Avg headshot accuracy 18%
  • Avg reaction 736ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 22%
  • Avg reaction 684ms

Last 20

  • 7–10–3 · 35% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 22%
  • Avg reaction 622ms

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 (+1.7 against its own average).

Aim4.5
Utility3.9
Positioning2.2
Opening Duels0.0
Clutch2.6

Limited utility dependence

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 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Reaction time. 582ms 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

Aim4.5
Positioning2.2
Utility3.9
Mechanics4.0
Opening Duels0.0
Win Impact3.1

Composite 3.3/10 (Learning), 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-0.05+0.00
first ⅓ avg -0.06 → last ⅓ avg -0.05
Reaction time637ms−16ms
first ⅓ avg 653ms → last ⅓ avg 637ms
Headshot accuracy20.1%+1.6%
first ⅓ avg 18.5% → last ⅓ avg 20.1%

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 · 13–4 · shelter, 31 Aug →
50%Best headshot accuracy · 5–8 · rush_001, 1 Oct →
422msFastest reaction time · 13–8 · office, 18 Aug →
13–1Biggest win · dust2, 11 Oct →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

officeBest map · 57% over 7nukeWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
debrisD113–827%-0.04
poseidonC94–544%-0.09
trainD92–722%-0.08
nukeD81–713%-0.05
vertigoC83–538%-0.08
officeA74–357%-0.06
boulderD62–433%-0.07
cacheD61–517%-0.09
ancientD61–517%-0.07
dust2C52–340%-0.04
shelterC52–340%-0.02
eldoradoC52–340%-0.04
infernoC52–340%-0.06
mirage—20–20%-0.05
rush_001—21–150%-0.13
fachwerk—20–20%-0.08
overpass—20–20%-0.05
anubis—22–0100%-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

127,887Lifetime kills
0.86K/D
14,345Matches
39.7%Match win rate
36.2%Headshot %
11.4%Shot accuracy
8,738MVPs
3,116Hours (in match)
4,394Bombs planted
889Bombs defused

Most-used weapons

AK-4721,370
AWP8,376
Nova4,636
SSG 084,404
SG 5534,318

Lifetime map wins

5,804vertigo
5,739office
5,114nuke
4,618dust2
4,551inferno
2,981train
1,920italy
1,700cbble

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

Faceit stats

Combat

36Matches
28%Win rate
0.69Avg K/D
57.3ADR
43%Headshot %

Clutches & streaks

33%1v1 clutch win
15%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1118%0.569.2
Dust2911%0.6311.1
Nuke425%0.7910.8
Ancient450%1.6615.0
Vertigo250%0.365.5
Overpass250%0.295.0
Inferno20%0.328.5
Cache1100%0.8713.0

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.

17.4%Headshot accuracy
30.8%Accuracy (enemy spotted)
31.8%Spray accuracy
68.1%Counter-strafing
11.3°Preaim
582msReaction time
23.8%T opening success
22.7%CT opening success
0.43Enemies flashed / flash
7.7%Flash assists
8.39HE damage / grenade
3.47Flashes / 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 0.4329 — 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 23.8333% — below the 40% mark we flag

Spend your practice time on Nuke

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage1–13-0.0621%11 Oct →
dust213–10.0033%11 Oct →
debris6–9-0.0224%10 Oct →
poseidon4–9-0.1213%4 Oct →
rush_0017–3-0.100%1 Oct →
rush_0015–8-0.1550%1 Oct →
poseidon9–60.0432%22 Sept →
debris9–50.0712%22 Sept →
nuke12–12-0.095%21 Sept →
boulder10–13-0.0626%19 Sept →
cache8–13-0.0430%10 Sept →
nuke9–13-0.0717%10 Sept →
dust213–4-0.0730%10 Sept →
dust28–13-0.117%9 Sept →
nuke5–13-0.1214%9 Sept →
shelter12–12-0.0423%9 Sept →
fachwerk12–12-0.0414%8 Sept →
nuke11–13-0.0025%7 Sept →
train13–11-0.0625%7 Sept →
vertigo13–60.0231%7 Sept →
poseidon9–3-0.0317%5 Sept →
nuke8–80.0119%5 Sept →
debris2–9-0.1522%5 Sept →
poseidon1–9-0.1838%5 Sept →
poseidon9–5-0.0616%5 Sept →
office13–11-0.0713%3 Sept →
overpass4–13-0.026%1 Sept →
boulder13–4-0.084%31 Aug →
shelter13–40.0817%31 Aug →
cache7–13-0.0626%31 Aug →
office13–10-0.0213%31 Aug →
ancient3–13-0.0720%31 Aug →
cache13–9-0.1121%28 Aug →
train8–13-0.1019%28 Aug →
eldorado8–8-0.1243%26 Aug →
office13–50.0120%26 Aug →
vertigo3–13-0.140%26 Aug →
dust27–130.0513%26 Aug →
debris4–9-0.1517%25 Aug →
ancient8–13-0.017%19 Aug →
nuke13–9-0.0510%19 Aug →
office13–8-0.088%18 Aug →
train5–13-0.0925%18 Aug →
eldorado6–9-0.0219%18 Aug →
debris2–9-0.100%18 Aug →
poseidon5–9-0.0713%18 Aug →
vertigo13–6-0.065%17 Aug →
train9–13-0.1011%16 Aug →
inferno13–9-0.0414%16 Aug →
anubis13–5-0.0620%16 Aug →
ancient5–13-0.140%16 Aug →
boulder10–13-0.0714%14 Aug →
poseidon9–7-0.0114%14 Aug →
debris8–8-0.047%14 Aug →
inferno9–13-0.0415%13 Aug →
train8–13-0.0511%13 Aug →
poseidon1–9-0.1920%13 Aug →
train9–13-0.0717%12 Aug →
train13–2-0.0818%12 Aug →
train1–13-0.070%12 Aug →
vertigo7–13-0.1017%12 Aug →
eldorado9–6-0.1313%11 Aug →
mirage6–13-0.0413%11 Aug →
debris9–7-0.155%10 Aug →
poseidon3–9-0.1420%10 Aug →
inferno10–13-0.0313%9 Aug →
ancient9–13-0.0918%9 Aug →
debris5–90.0023%9 Aug →
cache9–13-0.1017%8 Aug →
inferno13–9-0.0725%8 Aug →
dust27–13-0.0511%8 Aug →
debris7–90.0128%8 Aug →
vertigo12–12-0.0525%7 Aug →
ancient13–9-0.097%7 Aug →
cache3–13-0.140%7 Aug →
office10–13-0.0826%7 Aug →
cache5–13-0.0627%6 Aug →
shelter4–13-0.1011%6 Aug →
nuke7–13-0.0221%5 Aug →
boulder13–8-0.0915%5 Aug →
shelter13–6-0.0323%5 Aug →
boulder11–13-0.0719%5 Aug →
fachwerk4–13-0.1217%5 Aug →
overpass1–13-0.097%4 Aug →
vertigo13–7-0.090%4 Aug →
nuke11–13-0.109%4 Aug →
eldorado6–9-0.0121%4 Aug →
debris9–4-0.0130%4 Aug →
anubis13–11-0.0610%4 Aug →
boulder11–13-0.0719%3 Aug →
shelter9–13-0.018%3 Aug →
eldorado9–60.0721%2 Aug →
debris6–90.0647%2 Aug →
vertigo6–13-0.0727%1 Aug →
ancient6–13-0.0220%1 Aug →
office11–13-0.0618%31 Jul →
train6–13-0.080%31 Jul →
inferno4–13-0.1025%31 Jul →
vertigo6–13-0.1250%31 Jul →
office12–12-0.127%30 Jul →

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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