Pedał

Pedał — CS2 Stats

WF76561199568494470[U:1:1608228742]Steam profile ↗✓ No bans

424Tracked matches52%Win rate2024Tracked since
CSDB Rating5.5 SolidPositional Player
Ladder ranks via Leetify
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. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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Performance scores

Aim68
Positioning59
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY573112Last 10057%Win rateWWLTLWTWLT

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · +3.6pp headshot accuracy · +9ms 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

  • 221 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 517ms

Last 10

  • 433 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 514ms

Last 20

  • 884 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 509ms

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 (+0.9 against its own average).

Aim6.8
Utility3.9
Positioning5.9
Opening Duels5.1

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

m0NESY

Plays most like m0NESY 89% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

Areas to improve

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

Aim6.8
Positioning5.9
Utility3.9
Mechanics3.9
Opening Duels5.6
Win Impact5.6

Composite 5.5/10 (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 rating0.00−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time505ms−82ms
first ⅓ avg 587ms → last ⅓ avg 505ms
Headshot accuracy19.4%−1.5%
first ⅓ avg 20.8% → last ⅓ avg 19.4%

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

0.19Best match rating · 6–0 · office, 26 Jun
57%Best headshot accuracy · 13–6 · nuke, 4 Jul
359msFastest reaction time · 13–10 · inferno, 2 Aug
13–0Biggest win · nuke, 16 Jun

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
48In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 67% over 15vertigoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
nukeA44251957%0.02
infernoS1510567%0.01
ancientS128467%0.03
mirageC73443%0.00
vertigoD62433%-0.00
dust241325%-0.04
office440100%0.10
cache43175%0.01
train21150%0.03
overpass1010%0.03
italy1010%-0.01

Across the last 100 tracked matches.

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

Skill profile

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

19.8%Headshot accuracy
35.8%Accuracy (enemy spotted)
33.3%Spray accuracy
67.6%Counter-strafing
10.0°Preaim
514msReaction time
47.7%T opening success
56.8%CT opening success
0.49Enemies flashed / flash
7.0%Flash assists
6.47HE damage / grenade
5.39Flashes / 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 0.4922 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Vertigo

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 6 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–40.0517%16 Sept
nuke13–5-0.0325%16 Sept
vertigo4–13-0.0715%15 Sept
nuke12–12-0.0212%14 Sept
nuke7–13-0.0120%14 Sept
nuke13–10-0.0128%13 Sept
nuke12–120.0633%13 Sept
ancient13–90.0321%13 Sept
inferno5–130.0126%13 Sept
ancient15–15-0.0212%8 Sept
overpass11–130.0315%7 Sept
mirage10–130.0916%7 Sept
inferno9–20.0710%7 Sept
inferno8–8-0.1015%7 Sept
nuke13–60.159%3 Sept
nuke11–130.0118%3 Sept
nuke13–80.0114%3 Sept
nuke2–13-0.0144%3 Sept
mirage8–13-0.0817%1 Sept
ancient8–10.1415%1 Sept
dust210–13-0.0432%1 Sept
inferno13–5-0.0313%31 Aug
office13–80.0429%23 Aug
inferno13–80.0621%23 Aug
cache13–11-0.0518%23 Aug
ancient5–13-0.0421%23 Aug
nuke13–7-0.1021%8 Aug
inferno13–9-0.0214%8 Aug
nuke9–130.036%8 Aug
nuke9–13-0.0233%8 Aug
nuke11–130.0115%2 Aug
inferno13–100.0318%2 Aug
ancient5–13-0.0516%2 Aug
nuke13–1-0.063%2 Aug
dust21–7-0.120%1 Aug
nuke7–13-0.0033%1 Aug
vertigo13–10.0818%22 Jul
nuke13–30.0020%22 Jul
nuke13–40.0430%22 Jul
inferno9–20.0813%19 Jul
nuke13–90.0419%19 Jul
ancient13–11-0.0015%19 Jul
train12–120.0111%19 Jul
inferno4–13-0.0627%12 Jul
mirage10–13-0.0314%12 Jul
nuke12–120.0313%4 Jul
office13–90.1424%4 Jul
nuke13–60.0157%4 Jul
vertigo11–13-0.0719%2 Jul
ancient13–40.1222%28 Jun
nuke13–60.0412%28 Jun
mirage12–12-0.0319%28 Jun
mirage13–60.0432%28 Jun
train13–30.0541%27 Jun
nuke13–40.1224%26 Jun
inferno13–110.0412%26 Jun
office6–00.1938%26 Jun
mirage13–40.0217%22 Jun
vertigo10–13-0.0319%18 Jun
nuke13–100.0217%18 Jun
vertigo4–130.0011%16 Jun
cache13–100.0210%16 Jun
nuke13–00.0715%16 Jun
nuke13–80.1516%16 Jun
nuke9–00.1017%15 Jun
inferno13–80.0721%15 Jun
ancient13–10.0815%15 Jun
nuke13–6-0.0411%13 Jun
inferno12–120.0312%30 May
ancient13–30.0616%30 May
dust27–130.0219%30 May
nuke13–70.0627%30 May
nuke11–130.0426%30 May
nuke11–130.0320%29 May
nuke13–50.0721%29 May
ancient14–16-0.0116%29 May
office11–20.0215%24 May
inferno9–13-0.0525%16 May
ancient13–70.0125%16 May
mirage13–20.0436%16 May
cache12–12-0.0022%16 May
nuke12–12-0.0227%14 May
inferno13–80.0519%3 May
cache13–70.0729%3 May
nuke12–120.0817%2 May
nuke10–13-0.0123%2 May
nuke13–50.0226%2 May
nuke13–80.0134%27 Apr
nuke13–110.0626%26 Apr
inferno13–100.0215%25 Apr
dust213–6-0.0116%24 Apr
nuke5–130.0115%24 Apr
nuke7–130.0324%22 Apr
nuke13–30.0619%18 Apr
nuke13–20.0019%18 Apr
nuke13–8-0.0518%18 Apr
nuke11–13-0.0323%18 Apr
vertigo13–60.0515%10 Apr
nuke5–13-0.0514%10 Apr
italy12–12-0.0119%4 Apr

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 →