Chance

Chance — CS2 Stats

US76561198066375908[U:1:106110180]Steam profile ↗✓ No bans

845Tracked matches38%Win rate2020Tracked since
1,335Hours in CS
CSDB Rating5.9 SolidSupport
Ladder ranks via Leetify

Performance scores

Aim82
Positioning56
Utility63

0–100 skill scores via Leetify.

Recent form

COLD48–48–4Last 10048%Win rateWLLLLWWTLL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +2.9pp headshot accuracy · −21ms reaction

Win rate −10pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 570ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 573ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 583ms

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 (+1.3 against its own average).

Aim8.2
Utility6.3
Positioning5.6
Opening Duels4.8
Clutch3.2

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

ZywOo

Plays most like ZywOo 98% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

Strengths & areas to improve

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.4° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 584ms 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

Aim8.2
Positioning5.6
Utility6.3
Mechanics7.9
Opening Duels4.0
Win Impact1.0

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time577ms−42ms
first ⅓ avg 618ms → last ⅓ avg 577ms
Headshot accuracy16.3%−1.0%
first ⅓ avg 17.3% → last ⅓ avg 16.3%

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 · 13–7 · mirage, 27 Mar →
36%Best headshot accuracy · 6–0 · anubis, 2 Apr →
422msFastest reaction time · 8–13 · inferno, 14 Oct →
13–4Biggest win · anubis, 26 Mar →

Across the last 100 tracked matches.

Highlights

7Longest win streak
13–3In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 72% over 18dust2Weakest map · 30% over 23
MapGradePlayedRecordWin rateAvg rating
dust2D237–1630%0.01
mirageS1813–572%0.02
infernoC156–940%0.03
anubisS139–469%0.01
nukeC104–640%0.02
overpassC83–538%0.03
cacheS64–267%0.02
ancientC52–340%-0.00
office—20–20%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 23). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

77,965Lifetime kills
1.31K/D
3,148Matches
52.6%Match win rate
40.0%Headshot %
19.4%Shot accuracy
8,152MVPs
1,335Hours (in match)
2,309Bombs planted
844Bombs defused

Most-used weapons

AK-4723,327
AWP16,112
P2501,728
SSG 081,516
Tec-91,196

Lifetime map wins

6,027dust2
3,472inferno
1,634nuke
1,247train
888vertigo
439cbble
91office
51lake

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

Faceit stats

Combat

76Matches
61%Win rate
1.57Avg K/D
78.2ADR
39%Headshot %

Clutches & streaks

36%1v1 clutch win
17%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage633%1.1016.3
Dust2425%0.8012.8
Inferno367%1.1515.7
Anubis367%1.6219.0
Cache2100%1.4021.0
Overpass1100%0.6517.0
Nuke1100%2.0827.0

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.

16.4%Headshot accuracy
40.5%Accuracy (enemy spotted)
43.2%Spray accuracy
85.7%Counter-strafing
10.4°Preaim
584msReaction time
40.6%T opening success
51.1%CT opening success
0.62Enemies flashed / flash
8.1%Flash assists
8.92HE damage / grenade
15.61Flashes / match

Recommended for you

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

30% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–110.0630%14 Oct →
inferno8–130.0221%14 Oct →
nuke11–130.0320%7 Sept →
mirage5–13-0.0010%28 Aug →
dust26–13-0.0110%28 Aug →
anubis13–110.0315%16 Aug →
mirage13–11-0.0124%15 Aug →
nuke12–120.0912%15 Aug →
ancient9–130.0416%15 Aug →
inferno7–130.0420%15 Aug →
dust27–130.029%15 Aug →
nuke4–130.0820%1 Aug →
cache13–80.0522%3 Jul →
dust213–100.0411%3 Jul →
inferno8–13-0.0320%3 Jul →
dust28–130.049%29 Jun →
nuke6–13-0.069%23 Jun →
mirage6–13-0.0310%23 Jun →
mirage13–110.0118%22 Jun →
anubis13–7-0.0520%22 Jun →
nuke4–13-0.0922%22 Jun →
overpass16–140.0514%22 Jun →
anubis13–100.0114%12 Jun →
anubis11–130.0011%8 Jun →
dust28–130.0614%8 Jun →
inferno2–13-0.0321%8 Jun →
ancient9–13-0.0416%1 Jun →
anubis13–8-0.0113%1 Jun →
inferno13–80.0818%28 May →
overpass1–130.0425%28 May →
anubis13–50.0415%27 May →
mirage13–110.0117%21 May →
overpass2–13-0.049%19 May →
office12–120.0123%18 May →
cache6–13-0.0214%15 May →
nuke13–10-0.0315%13 May →
office0–13-0.0610%13 May →
cache13–7-0.0215%10 May →
cache13–60.0524%8 May →
cache4–13-0.0119%1 May →
mirage10–130.0617%30 Apr →
dust213–9-0.018%30 Apr →
mirage5–00.0213%30 Apr →
ancient13–10-0.019%29 Apr →
nuke13–100.0711%29 Apr →
cache13–110.0413%29 Apr →
dust216–14-0.0220%24 Apr →
overpass13–100.0420%22 Apr →
overpass6–13-0.0112%21 Apr →
inferno5–130.049%21 Apr →
mirage16–140.0216%20 Apr →
ancient10–13-0.0010%20 Apr →
nuke13–10-0.0219%20 Apr →
nuke13–60.1218%9 Apr →
dust215–150.0317%8 Apr →
ancient13–7-0.017%8 Apr →
dust29–13-0.0411%8 Apr →
overpass4–130.1534%5 Apr →
inferno13–50.0024%4 Apr →
inferno8–130.0319%4 Apr →
dust213–70.0213%4 Apr →
overpass5–13-0.0511%4 Apr →
mirage10–130.039%3 Apr →
anubis13–7-0.0012%2 Apr →
inferno13–160.0625%2 Apr →
anubis6–00.0436%2 Apr →
anubis13–100.0012%1 Apr →
dust213–10-0.0018%1 Apr →
inferno8–130.0922%31 Mar →
dust210–130.0419%31 Mar →
dust211–13-0.0220%30 Mar →
anubis9–130.0928%29 Mar →
inferno13–110.0425%27 Mar →
mirage13–70.2021%27 Mar →
dust29–13-0.0911%27 Mar →
inferno13–11-0.0025%27 Mar →
inferno16–140.0610%27 Mar →
inferno6–130.0216%26 Mar →
mirage7–13-0.0216%26 Mar →
anubis13–40.0221%26 Mar →
mirage13–80.0316%25 Mar →
dust24–13-0.079%25 Mar →
nuke10–130.0012%24 Mar →
overpass13–60.0319%24 Mar →
mirage13–50.0114%24 Mar →
anubis5–13-0.0311%23 Mar →
dust213–110.0327%23 Mar →
anubis2–130.0119%20 Mar →
dust26–13-0.0114%20 Mar →
mirage13–9-0.0126%19 Mar →
mirage16–130.015%19 Mar →
mirage13–100.0812%19 Mar →
dust215–150.0618%19 Mar →
dust26–130.0215%18 Mar →
dust210–13-0.0114%17 Mar →
mirage13–8-0.0310%17 Mar →
inferno13–60.0418%16 Mar →
dust25–13-0.0326%16 Mar →
mirage13–5-0.0423%16 Mar →
dust24–130.0012%14 Mar →

Match data via Leetify.

Recent teammates

Milestones

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

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