urbanbreach — CS2 Stats

76561198115408375[U:1:155142647]✓ No bans

1,361Tracked matches40%Win rate2020Tracked since
CSDB Rating5.9 SolidSupport
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (35 days ago). Ranks are recorded once per day this page is viewed.

+16Tracked matches · now 1,361
+6.7ppWin rate · 33.3% → 40.0%

Rating over time

Premier CS Rating: 17,013 +2,361 17 May – 4 Jun · 6 days played
14,65217,013peak 17,01317 May4 Jun
17,013Peak Premier in tracked matches
57Days played since 2025-05-07

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGurbanbreachFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim85
Positioning52
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY54–42–4Last 10054%Win rateLLWWLWWWWL

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · −4.4pp headshot accuracy · +64ms reaction

Win rate up 30pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 519ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 534ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 502ms

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 (+1.4 against its own average).

Aim8.5
Utility5.7
Positioning5.2
Opening Duels3.9
Clutch2.4

Sharp aimer

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

device

Plays most like device 96% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning 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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

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

Aim8.5
Positioning5.2
Utility5.7
Mechanics6.7
Opening Duels2.8
Win Impact1.7

Composite 5.9/10 (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 rating-0.00−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time513ms−124ms
first ⅓ avg 637ms → last ⅓ avg 513ms
Headshot accuracy18.8%−4.7%
first ⅓ avg 23.5% → last ⅓ avg 18.8%

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

0.18Best match rating · 13–7 · mirage, 15 Mar →
54%Best headshot accuracy · 5–0 · italy, 22 Mar →
336msFastest reaction time · 8–13 · mirage, 16 Sept →
13–1Biggest win · dust2, 16 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
3–10In matches decided by ≤2 rounds
7Overtime games

Map breakdown

officeBest map · 60% over 15mirageWeakest map · 50% over 28
MapGradePlayedRecordWin rateAvg rating
mirageB2814–1450%0.00
officeA159–660%0.01
ancientB126–650%0.02
dust2A127–558%0.03
anubisB84–450%-0.01
vertigoA74–357%0.05
nukeA74–357%0.03
inferno—40–40%-0.03
train—22–0100%0.05
cache—11–0100%0.07
italy—11–0100%0.16
overpass—10–10%0.01
stronghold—11–0100%0.04
grail—11–0100%0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (50% over 28). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

783Matches
51%Win rate
1.09Avg K/D
84.9ADR
52%Headshot %

Clutches & streaks

32%1v1 clutch win
25%1v2 clutch win
14Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage21850%1.1216.3
Anubis14155%1.0816.4
Ancient8749%1.0114.4
Vertigo7453%1.0215.7
Dust27050%0.9815.6
Nuke6552%1.2116.5
Inferno2544%1.0617.1
Overpass425%0.9814.0

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.

18.1%Headshot accuracy
37.5%Accuracy (enemy spotted)
42.9%Spray accuracy
80.0%Counter-strafing
8.7°Preaim
516msReaction time
36.7%T opening success
45.9%CT opening success
0.56Enemies flashed / flash
5.0%Flash assists
7.90HE damage / grenade
9.53Flashes / 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 36.7261% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0114%18 Sept →
mirage8–13-0.0217%16 Sept →
ancient13–10-0.0018%16 Sept →
mirage13–6-0.0312%14 Sept →
mirage11–13-0.0627%11 Sept →
cache13–80.0712%11 Sept →
ancient13–110.0315%7 Sept →
mirage13–80.1120%7 Sept →
office13–30.0620%3 Sept →
anubis8–13-0.058%2 Sept →
vertigo6–11-0.0018%30 Aug →
office13–90.0023%30 Aug →
ancient5–13-0.019%27 Aug →
mirage13–90.0012%25 Aug →
mirage13–40.0432%25 Aug →
dust27–130.0530%25 Aug →
mirage1–12-0.0220%19 Aug →
nuke7–130.0223%19 Aug →
mirage12–16-0.0222%16 Aug →
mirage8–13-0.0916%11 Aug →
ancient6–13-0.0813%10 Aug →
anubis16–120.0316%7 Aug →
anubis8–13-0.038%6 Aug →
ancient5–13-0.0410%6 Aug →
anubis17–19-0.0818%6 Aug →
mirage3–13-0.0531%31 Jul →
anubis11–130.019%29 Jul →
office13–100.0428%26 Jul →
mirage14–16-0.0027%26 Jul →
nuke13–4-0.0311%16 Jul →
office11–130.0525%9 Jul →
mirage13–11-0.0013%6 Jul →
office13–100.0043%5 Jul →
ancient13–100.0912%8 May →
mirage11–130.0217%1 May →
nuke10–130.0520%12 Apr →
dust27–130.0220%12 Apr →
office7–13-0.0115%11 Apr →
vertigo13–20.1133%11 Apr →
office9–130.0425%10 Apr →
anubis13–80.0421%9 Apr →
ancient8–130.0310%8 Apr →
inferno5–13-0.0517%8 Apr →
dust213–70.0616%8 Apr →
vertigo13–100.1120%7 Apr →
nuke1–130.0130%1 Apr →
nuke13–80.0718%31 Mar →
anubis13–11-0.0331%31 Mar →
mirage13–40.0238%31 Mar →
office11–13-0.0218%28 Mar →
office13–60.0632%28 Mar →
dust215–150.0218%28 Mar →
vertigo12–12-0.0111%27 Mar →
train13–80.0217%26 Mar →
nuke13–50.1118%26 Mar →
dust213–50.0218%26 Mar →
mirage13–20.0024%26 Mar →
mirage4–13-0.0916%23 Mar →
anubis13–5-0.0131%23 Mar →
office13–90.0611%23 Mar →
ancient13–8-0.0117%23 Mar →
dust213–40.0726%23 Mar →
nuke13–50.0121%23 Mar →
dust211–130.0324%22 Mar →
italy5–00.1654%22 Mar →
overpass9–130.0111%19 Mar →
office13–60.0419%19 Mar →
vertigo11–130.0524%18 Mar →
office13–9-0.0336%16 Mar →
inferno5–130.0339%15 Mar →
ancient10–130.0126%15 Mar →
mirage13–70.1827%15 Mar →
vertigo13–60.0026%15 Mar →
office13–20.0642%15 Mar →
ancient13–30.0813%14 Mar →
office5–13-0.1111%14 Mar →
stronghold13–70.0428%14 Mar →
dust24–13-0.0113%14 Mar →
train13–90.0729%14 Mar →
office12–12-0.0532%11 Mar →
mirage13–70.0914%4 Jun →
mirage13–5-0.0129%28 May →
ancient10–130.0420%28 May →
vertigo13–50.0928%23 May →
dust213–10-0.0120%22 May →
mirage13–10-0.0118%21 May →
mirage13–4-0.0111%21 May →
dust213–20.0324%18 May →
mirage13–80.0916%17 May →
ancient13–20.1237%17 May →
mirage8–13-0.0419%16 May →
dust213–10.0928%16 May →
dust213–10-0.0224%16 May →
inferno15–15-0.0228%15 May →
mirage0–13-0.0617%15 May →
mirage10–13-0.0615%14 May →
inferno6–13-0.0718%14 May →
mirage16–130.0724%11 May →
grail13–100.0819%9 May →
mirage6–70.1023%7 May →

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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