Wojtas  berapl2hfg

Wojtas berapl2hfg — CS2 Stats

HT76561198880651725[U:1:920385997]Steam profile ↗✓ No bans

431Tracked matches48%Win rate2021Tracked since
2,638Hours in CS25Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating18,560Purple band · top ~14.2% of ranked players (population est.)
FaceitLevel 8 · 1,497 ELOTop 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GGWojtas berapl2hfgFACEITLevel 8 · 1,497 ELOSTANDINGTop 31.2% of rankedPREMIER18,560 · Purple bandcsdb.gg/stats

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Performance scores

Aim68
Positioning61
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY56–42–2Last 10056%Win rateWLLWWWWWLL

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · −3.9pp headshot accuracy · +18ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 573ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 528ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 519ms

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).

Aim6.8
Utility5.3
Positioning6.1
Opening Duels3.0
Clutch4.2

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 88% 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 →

CSDB Rating breakdown

Aim6.8
Positioning6.1
Utility5.3
Mechanics6.0
Opening Duels4.5
Win Impact4.4

Composite 5.8/10 (Solid), 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 rating0.01−0.03
first ⅓ avg 0.05 → last ⅓ avg 0.01
Reaction time537ms−74ms
first ⅓ avg 612ms → last ⅓ avg 537ms
Headshot accuracy15.8%−3.3%
first ⅓ avg 19.1% → last ⅓ avg 15.8%

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

0.34Best match rating · 9–1 · vertigo, 4 Apr →
50%Best headshot accuracy · 0–5 · anubis, 15 May →
281msFastest reaction time · 0–13 · nuke, 9 Oct →
13–1Biggest win · nuke, 23 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
9–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 70% over 10nukeWeakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA2918–1162%0.03
anubisB178–947%0.02
ancientB136–746%0.03
dust2S139–469%0.04
nukeB115–645%0.02
infernoS107–370%0.05
overpass—30–30%-0.03
cache—11–0100%-0.02
office—11–0100%0.04
fachwerk—10–10%-0.03
vertigo—11–0100%0.34

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

93,673Lifetime kills
1.25K/D
4,908Matches
46.4%Match win rate
41.2%Headshot %
14.7%Shot accuracy
15,584MVPs
1,656Hours (in match)
4,207Bombs planted
1,428Bombs defused

Most-used weapons

AK-4725,409
AWP13,891
SSG 084,363
P2501,667
SG 5531,627
AUG1,550

Lifetime map wins

3,596dust2
2,282inferno
1,412vertigo
1,345nuke
827office
635train
343cbble
297italy

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

Faceit stats

Combat

176Matches
56%Win rate
1.35Avg K/D
90.5ADR
42%Headshot %

Clutches & streaks

41%1v1 clutch win
24%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage5364%1.4818.2
Dust22864%1.2316.8
Ancient2548%1.4621.2
Nuke2157%1.3617.0
Anubis2050%0.9313.2
Inferno1729%1.3818.2
Cache333%1.0813.7
Overpass250%1.5019.0

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.

15.0%Headshot accuracy
33.4%Accuracy (enemy spotted)
35.4%Spray accuracy
77.1%Counter-strafing
8.5°Preaim
548msReaction time
52.7%T opening success
43.4%CT opening success
0.53Enemies flashed / flash
6.9%Flash assists
7.55HE damage / grenade
9.05Flashes / 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 14.9612% — below the 15% mark we flag

    Aim Training →
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.

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–40.038%9 Nov →
anubis11–130.0211%9 Nov →
ancient10–130.0311%31 Oct →
anubis13–80.0415%31 Oct →
nuke13–80.0422%24 Oct →
mirage13–9-0.0011%19 Oct →
dust213–100.1115%14 Oct →
cache13–8-0.0212%11 Oct →
nuke0–13-0.0814%9 Oct →
anubis10–13-0.008%8 Oct →
mirage18–22-0.027%4 Oct →
inferno11–13-0.0225%2 Oct →
nuke7–90.0020%22 Sept →
dust213–60.0625%19 Sept →
anubis13–70.0418%11 Sept →
ancient13–60.0814%9 Sept →
office13–60.0412%3 Sept →
ancient0–40.0413%30 Aug →
inferno4–9-0.0725%30 Aug →
anubis8–13-0.0210%25 Aug →
nuke13–60.0110%25 Aug →
mirage13–90.0419%25 Aug →
mirage4–13-0.0024%25 Aug →
mirage6–13-0.058%24 Aug →
nuke8–130.0330%24 Aug →
mirage13–110.0514%24 Aug →
dust26–13-0.0026%15 Aug →
mirage15–150.0722%14 Aug →
ancient4–13-0.0913%14 Aug →
dust25–130.067%12 Aug →
mirage13–80.0515%10 Aug →
nuke6–13-0.0811%10 Aug →
mirage8–20.0025%9 Aug →
fachwerk7–13-0.0338%9 Aug →
nuke13–50.0117%9 Aug →
inferno9–60.1524%3 Aug →
inferno13–100.1121%3 Aug →
anubis3–13-0.0211%3 Aug →
ancient13–100.0517%3 Aug →
anubis13–20.1126%1 Aug →
mirage13–110.0118%29 Jul →
dust213–110.0819%24 Jul →
dust213–2-0.0220%24 Jul →
mirage13–110.0518%23 Jul →
nuke13–10.1014%23 Jul →
inferno13–3-0.0116%11 Jul →
dust210–13-0.0616%10 Jul →
anubis1–90.0429%9 Jul →
overpass0–13-0.0430%28 Jun →
anubis13–40.0621%28 Jun →
dust213–110.089%16 Jun →
anubis1–5-0.140%12 Jun →
inferno13–90.1022%31 May →
overpass10–13-0.015%31 May →
mirage13–110.0712%27 May →
nuke15–150.1021%26 May →
mirage9–130.0516%25 May →
mirage13–60.0724%23 May →
ancient13–80.0120%23 May →
inferno13–90.0310%22 May →
nuke5–13-0.0121%22 May →
mirage16–140.0715%22 May →
mirage13–20.0210%22 May →
ancient13–16-0.0011%21 May →
ancient6–13-0.0419%19 May →
mirage13–60.0213%17 May →
anubis9–20.0811%17 May →
mirage6–13-0.0114%17 May →
inferno13–20.1417%17 May →
anubis0–5-0.0050%15 May →
inferno13–80.0816%15 May →
ancient13–60.0513%15 May →
anubis7–130.0221%5 May →
mirage8–130.1019%5 May →
mirage11–130.0512%18 Apr →
inferno2–13-0.017%18 Apr →
anubis13–100.0714%18 Apr →
mirage13–80.0410%9 Apr →
mirage13–80.1324%8 Apr →
mirage0–11-0.0527%5 Apr →
vertigo9–10.3420%4 Apr →
dust29–130.0215%4 Apr →
ancient13–80.0421%4 Apr →
dust213–110.0520%4 Apr →
mirage13–7-0.0021%1 Apr →
dust216–140.0422%30 Mar →
dust213–8-0.0311%28 Mar →
mirage13–70.0421%28 Mar →
anubis10–130.0111%27 Mar →
ancient13–90.1718%27 Mar →
overpass4–13-0.0426%27 Mar →
nuke13–50.0729%27 Mar →
mirage9–130.0416%26 Mar →
ancient8–130.0229%23 Mar →
mirage13–90.0121%22 Mar →
ancient14–160.027%22 Mar →
dust213–100.1222%22 Mar →
mirage13–100.0026%21 Mar →
anubis16–120.0519%18 Mar →
mirage4–13-0.0313%17 Mar →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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