skodastreetracing

skodastreetracing — CS2 Stats

JP76561199178305903[U:1:1218040175]Steam profile ↗VAC banned

1,488Tracked matches70%Win rate2021Tracked since
3,006Hours in CS
CSDB Rating6.8 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (16 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,830 → 2,830
+1Tracked matches · now 1,488
0.0ppWin rate · 70.0% → 70.0%

Rating over time

Premier CS Rating: 18,542 +3,543 10 May – 27 Nov · 9 days played
14,44118,542peak 18,54210 May27 Nov
18,542Peak Premier in tracked matches
2,830Highest Faceit ELO seen on CSDB
62Days played since 2024-02-24

Faceit ELO

  • At peak — 2,830
  • Next: 3,000 ELO at 3,000 — 170 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-22
  • Level 10 first seen 2026-09-22

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGskodastreetracingPEAK ELO2,830csdb.gg/stats

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Performance scores

Aim80
Positioning61
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY55–44–1Last 10055%Win rateWLWWWLLLWW

Last 10 vs previous 10: −30pp win rate · +0.03 avg rating · +4.1pp headshot accuracy · −46ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 30%
  • Avg reaction 544ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 25%
  • Avg reaction 562ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 585ms

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 (+1.6 against its own average).

Aim8.0
Utility4.5
Positioning6.1
Opening Duels3.7
Clutch3.6

Strong CT-side openerLimited 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

s1mple

Plays most like s1mple 95% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 54% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 586ms 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

Aim8.0
Positioning6.1
Utility4.5
Mechanics6.9
Opening Duels2.9
Win Impact10.0

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time581ms+18ms
first ⅓ avg 563ms → last ⅓ avg 581ms
Headshot accuracy25.1%−1.3%
first ⅓ avg 26.4% → last ⅓ avg 25.1%

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

0.17Best match rating · 13–8 · ancient, 23 Apr →
54%Best headshot accuracy · 1–13 · dust2, 22 Oct →
422msFastest reaction time · 13–16 · ancient, 20 Jul →
13–2Biggest win · dust2, 18 Oct →

Across the last 100 tracked matches.

Highlights

11Longest win streak
4–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

trainBest map · 80% over 5nukeWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB2612–1446%0.02
ancientA2213–959%0.03
dust2A1811–761%0.01
anubisB158–753%0.03
overpassA53–260%-0.03
nukeC52–340%0.01
trainS54–180%0.03
inferno—11–0100%0.01
agency—10–10%0.04
vertigo—11–0100%0.06
office—10–10%-0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

106,637Lifetime kills
0.96K/D
3,201Matches
50.4%Match win rate · Top 25% of tracked players
54.8%Headshot % · Top 25% of tracked players
12.7%Shot accuracy · Top 50% of tracked players
11,785MVPs
3,006Hours (in match)
2,739Bombs planted
1,710Bombs defused

Most-used weapons

AK-4745,385
AWP16,009
Knife2,042
MP91,480
MAC-101,414

Lifetime map wins

5,358dust2
1,436inferno
1,426nuke
1,027train
984vertigo
41office
33cbble
33lake

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

Faceit stats

Combat

1,645Matches
53%Win rate
1.21Avg K/D
87.7ADR
53%Headshot %

Clutches & streaks

38%1v1 clutch win
24%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage48456%1.2118.1
Dust222960%1.2518.4
Anubis16251%1.2919.5
Ancient15145%1.1217.8
Train5848%1.0917.4
Nuke5747%1.1517.8
Overpass3040%0.9416.6
Vertigo2532%1.0517.2

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.

23.7%Headshot accuracy
34.2%Accuracy (enemy spotted)
38.3%Spray accuracy
81.2%Counter-strafing
8.5°Preaim
586msReaction time
29.3%T opening success
53.6%CT opening success
0.56Enemies flashed / flash
9.4%Flash assists
7.38HE damage / grenade
4.80Flashes / 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. 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 29.2507% — 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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis19–160.0020%20 Aug →
ancient2–30.1340%3 Jul →
mirage13–60.1239%6 Jun →
overpass16–13-0.0318%19 Feb →
dust213–80.1035%18 Feb →
dust26–13-0.0624%24 Jan →
overpass3–130.0117%5 Nov →
dust214–160.0321%28 Oct →
mirage13–90.0322%18 Oct →
dust213–20.0716%18 Oct →
mirage13–70.0833%15 Oct →
mirage6–13-0.0219%10 Oct →
overpass13–8-0.0619%30 Sept →
inferno16–140.0125%27 Sept →
mirage13–6-0.0518%23 Sept →
ancient13–100.0621%14 Sept →
mirage13–80.0318%14 Sept →
ancient13–70.0215%8 Sept →
nuke13–90.0626%8 Sept →
ancient16–13-0.0216%7 Sept →
dust28–13-0.0025%4 Sept →
dust23–13-0.0243%4 Sept →
dust213–9-0.0014%28 Aug →
dust213–70.0248%18 Aug →
dust213–80.0823%18 Aug →
agency3–130.0424%15 Aug →
mirage6–13-0.0419%14 Aug →
ancient13–30.0825%14 Aug →
ancient13–40.0936%14 Aug →
ancient13–90.0118%10 Aug →
ancient13–16-0.0418%20 Jul →
dust213–110.0023%14 Jul →
train13–90.0748%21 May →
anubis9–130.0230%31 Mar →
mirage5–13-0.0037%29 Mar →
anubis9–130.0624%13 Mar →
ancient14–160.0926%11 Jan →
dust211–13-0.0415%5 Jan →
anubis11–13-0.0423%17 Dec →
anubis6–2-0.028%15 Dec →
ancient4–130.0236%6 Dec →
ancient13–90.0632%3 Dec →
ancient14–16-0.0421%3 Dec →
mirage13–90.0420%27 Nov →
anubis8–130.0132%27 Nov →
train3–13-0.1325%23 Nov →
mirage11–130.0331%22 Nov →
mirage5–13-0.0432%21 Nov →
train13–100.0324%19 Nov →
mirage7–130.0221%19 Nov →
train13–90.0333%14 Nov →
train13–80.1533%14 Nov →
dust21–13-0.0038%7 Nov →
mirage5–13-0.0627%7 Nov →
anubis13–20.1525%7 Nov →
mirage13–50.0230%7 Nov →
anubis16–120.0018%6 Nov →
ancient13–80.0734%6 Nov →
ancient13–50.0540%1 Nov →
dust213–60.0333%1 Nov →
dust213–8-0.0228%29 Oct →
mirage13–50.1649%29 Oct →
ancient13–80.0335%22 Oct →
vertigo13–70.0645%22 Oct →
dust213–11-0.0230%22 Oct →
ancient2–13-0.0521%22 Oct →
dust21–13-0.0254%22 Oct →
mirage4–13-0.0822%22 Oct →
ancient10–13-0.0215%14 Oct →
nuke9–13-0.0216%23 Sept →
anubis13–70.1146%23 Sept →
anubis15–150.0118%20 Sept →
dust213–7-0.0434%13 Jun →
dust213–80.1141%13 Jun →
anubis10–130.0428%12 Jun →
mirage13–100.0629%10 May →
mirage5–130.0317%10 May →
mirage13–30.0828%10 May →
anubis3–13-0.0343%10 May →
anubis13–8-0.0122%10 May →
nuke5–13-0.0331%10 May →
mirage5–130.0240%10 May →
office9–13-0.0723%5 May →
anubis13–80.0817%24 Apr →
ancient13–80.1731%23 Apr →
ancient11–13-0.0538%21 Apr →
mirage5–13-0.0626%15 Mar →
mirage4–130.0129%10 Mar →
mirage15–190.0334%10 Mar →
nuke13–110.0129%10 Mar →
anubis13–5-0.0132%10 Mar →
mirage6–13-0.0418%29 Feb →
ancient13–10-0.0125%29 Feb →
mirage13–70.1021%29 Feb →
overpass13–2-0.0616%28 Feb →
mirage13–10-0.0014%26 Feb →
ancient3–13-0.0911%26 Feb →
ancient13–100.0135%24 Feb →
nuke9–130.0122%24 Feb →
overpass21–25-0.0118%24 Feb →

Match data via Leetify.

Recent teammates

Milestones

2.5K ELO1,000 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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