POLAAK

POLAAK — CS2 Stats

76561198318773040[U:1:358507312]Steam profile ↗VAC banned

2,427Tracked matches71%Win rate2020Tracked since
3,982Hours in CS
CSDB Rating8.2 StrongPositional Player
Premier CS Rating30,725Gold band · top ~0.6% of ranked players (population est.)
FaceitLevel 10 · 2,899 ELOTop 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

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CSDB.GGPOLAAKFACEITLevel 10 · 2,899 ELOSTANDINGTop 12.4% of rankedPREMIER30,725 · Gold bandcsdb.gg/stats

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Performance scores

Aim83
Positioning75
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY57–38–5Last 10057%Win rateLWLWWLWTWW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +0.6pp headshot accuracy · +103ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 477ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 531ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 479ms

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 Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim8.3
Utility6.5
Positioning7.5
Opening Duels5.9
Clutch4.0

Effective flashes

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

jL

Plays most like jL 89% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: 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

Strengths

T openings. 70% T opening-duel success — entries that actually open the round.

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

Aim8.3
Positioning7.5
Utility6.5
Mechanics6.6
Opening Duels8.4
Win Impact10.0

Composite 8.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.03
Reaction time470ms−36ms
first ⅓ avg 505ms → last ⅓ avg 470ms
Headshot accuracy22.3%−1.1%
first ⅓ avg 23.3% → last ⅓ avg 22.3%

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 · 13–3 · nuke, 20 Oct →
43%Best headshot accuracy · 13–3 · dust2, 19 Oct →
344msFastest reaction time · 15–15 · ancient, 26 Oct →
13–0Biggest win · inferno, 16 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
3–3In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 82% over 11infernoWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB3116–1552%0.03
cacheB137–654%0.03
ancientB136–746%0.04
nukeA127–558%0.04
dust2S118–373%0.02
anubisS119–282%0.03
infernoC94–544%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

206,563Lifetime kills
1.27K/D
7,558Matches
57.1%Match win rate
52.1%Headshot %
14.2%Shot accuracy
28,129MVPs
3,982Hours (in match)
10,887Bombs planted
2,473Bombs defused

Most-used weapons

AK-4771,871
AWP17,401
MP96,692
MAC-105,645
P2503,713
FAMAS3,440

Lifetime map wins

13,417inferno
11,282dust2
4,130nuke
2,877train
1,307cbble
1,301vertigo
346office
324lake

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

Faceit stats

Combat

1,425Matches
54%Win rate
1.26Avg K/D
81.5ADR
47%Headshot %

Clutches & streaks

40%1v1 clutch win
25%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage17357%1.2917.0
Dust212455%1.1816.3
Anubis5961%1.2316.1
Inferno5254%1.2216.7
Ancient4436%1.0014.6
Nuke3949%1.2516.5
Train1136%1.1316.7
Overpass944%1.0617.0

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.

23.4%Headshot accuracy
34.7%Accuracy (enemy spotted)
38.5%Spray accuracy
79.6%Counter-strafing
9.9°Preaim
486msReaction time
69.6%T opening success
57.5%CT opening success
0.71Enemies flashed / flash
11.3%Flash assists
9.41HE damage / grenade
7.34Flashes / match

Recommended for you

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.

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage3–130.0117%12 Nov →
nuke13–30.0818%11 Nov →
mirage12–16-0.0516%2 Nov →
nuke13–90.0229%2 Nov →
dust213–100.0525%2 Nov →
mirage9–130.0224%2 Nov →
dust213–80.0625%2 Nov →
cache15–150.0122%1 Nov →
cache13–9-0.0238%30 Oct →
mirage13–20.0716%29 Oct →
nuke13–60.0235%29 Oct →
cache13–20.0215%28 Oct →
anubis13–90.0427%28 Oct →
dust20–13-0.030%28 Oct →
ancient3–130.0526%28 Oct →
ancient7–13-0.0318%27 Oct →
anubis13–70.1127%27 Oct →
cache13–8-0.0138%27 Oct →
mirage13–50.0424%26 Oct →
ancient15–150.0415%26 Oct →
cache16–120.0631%25 Oct →
mirage13–80.0121%24 Oct →
mirage13–100.0821%24 Oct →
inferno13–8-0.0516%24 Oct →
nuke11–130.0521%24 Oct →
nuke9–130.0222%24 Oct →
ancient13–10.1115%24 Oct →
mirage13–10.0829%24 Oct →
dust213–6-0.0228%24 Oct →
ancient13–20.0323%23 Oct →
ancient13–80.0323%23 Oct →
ancient3–13-0.0915%23 Oct →
mirage13–60.0315%23 Oct →
cache5–13-0.0332%23 Oct →
nuke13–4-0.0433%23 Oct →
mirage3–13-0.0123%22 Oct →
nuke13–90.0217%22 Oct →
inferno10–13-0.0017%22 Oct →
mirage8–13-0.0915%22 Oct →
mirage15–150.0525%22 Oct →
anubis13–50.0328%21 Oct →
anubis9–13-0.0418%21 Oct →
inferno13–70.0435%21 Oct →
mirage3–13-0.0213%21 Oct →
nuke13–30.2025%20 Oct →
inferno13–8-0.0716%20 Oct →
cache3–13-0.0220%19 Oct →
mirage15–150.0219%19 Oct →
anubis13–40.0432%19 Oct →
ancient15–150.0125%19 Oct →
nuke4–13-0.0322%19 Oct →
mirage13–110.0619%19 Oct →
dust213–30.0543%19 Oct →
mirage13–40.0318%19 Oct →
mirage2–130.0227%19 Oct →
ancient8–130.0015%18 Oct →
dust216–130.0927%18 Oct →
anubis9–10.1920%18 Oct →
inferno7–130.0833%17 Oct →
mirage14–16-0.0316%17 Oct →
cache10–130.0625%17 Oct →
ancient7–130.0425%17 Oct →
mirage16–130.0412%17 Oct →
inferno2–5-0.1310%16 Oct →
nuke9–130.0820%16 Oct →
nuke13–50.0523%16 Oct →
dust213–90.0218%16 Oct →
dust29–13-0.0114%16 Oct →
ancient13–9-0.0021%16 Oct →
anubis5–10.028%16 Oct →
dust213–5-0.0225%16 Oct →
mirage13–50.0520%16 Oct →
inferno13–00.0513%16 Oct →
mirage13–30.0713%16 Oct →
cache13–110.0519%16 Oct →
ancient13–10.1731%15 Oct →
inferno5–130.0838%15 Oct →
anubis5–13-0.0223%15 Oct →
mirage10–130.0117%15 Oct →
mirage9–130.0921%14 Oct →
mirage11–13-0.0132%13 Oct →
inferno10–130.0626%13 Oct →
cache13–100.0927%12 Oct →
mirage13–80.0619%12 Oct →
anubis13–90.0221%12 Oct →
mirage7–130.0518%12 Oct →
mirage13–9-0.0319%12 Oct →
mirage13–160.0915%12 Oct →
cache3–13-0.0841%12 Oct →
mirage13–30.0627%12 Oct →
cache9–130.1029%12 Oct →
dust26–130.0529%11 Oct →
anubis13–11-0.068%11 Oct →
cache13–70.1737%11 Oct →
dust213–90.0427%11 Oct →
anubis13–80.0030%11 Oct →
nuke6–13-0.0420%10 Oct →
mirage13–100.0732%10 Oct →
ancient13–70.1130%10 Oct →
mirage13–90.0920%9 Oct →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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