AWPortunity ︻デ一

AWPortunity ︻デ一 — CS2 Stats

DE76561198255511548[U:1:295245820]Steam profile ↗✓ No bans

1,865Tracked matches50%Win rate2020Tracked since
CSDB Rating3.5 LearningPositional Player
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify
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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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CSDB.GGAWPortunity ︻デ一FACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim30
Positioning47
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY40528Last 10040%Win rateWWWLWWTLLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −3.5pp headshot accuracy · −47ms 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

  • 41 · 80% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 597ms

Last 10

  • 631 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 551ms

Last 20

  • 1163 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 575ms

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 (+1.2 against its own average).

Aim3.0
Utility3.6
Positioning4.7
Opening Duels2.2

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 67% 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 →

Strengths & areas to improve

Areas to improve

CT openings. Opening success drops from 50% on T to 32% on CT — first contacts on the defending side are being lost.

Reaction time. 590ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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

Aim3.0
Positioning4.7
Utility3.6
Mechanics2.4
Opening Duels2.7
Win Impact5.0

Composite 3.5/10 (Learning), 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-0.04+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time598ms−40ms
first ⅓ avg 638ms → last ⅓ avg 598ms
Headshot accuracy19.0%−0.6%
first ⅓ avg 19.6% → last ⅓ avg 19.0%

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

0.06Best match rating · 11–13 · cache, 16 Jul
57%Best headshot accuracy · 13–3 · dust2, 23 Aug
422msFastest reaction time · 9–13 · mirage, 10 Sept
13–2Biggest win · inferno, 26 Jul

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
1Overtime games

Map breakdown

officeBest map · 50% over 6dust2Weakest map · 38% over 42
MapGradePlayedRecordWin rateAvg rating
dust2C42162638%-0.05
infernoC1871139%-0.03
cacheC104640%-0.04
officeB63350%-0.02
ancient4040%-0.03
mirage31233%-0.04
anubis32167%-0.04
fachwerk330100%-0.03
vertigo3030%-0.09
nuke21150%-0.06
boulder21150%-0.02
warden21150%-0.02
italy110100%-0.07
train1010%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 42). Start with the 6 essential Dust 2 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.

19.1%Headshot accuracy
23.0%Accuracy (enemy spotted)
28.1%Spray accuracy
61.0%Counter-strafing
10.2°Preaim
590msReaction time
49.8%T opening success
32.0%CT opening success
0.37Enemies flashed / flash
3.7%Flash assists
8.67HE damage / grenade
6.03Flashes / 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 0.3714 — below the 0.5 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 32.0215% — below the 40% mark we flag

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.

38% win rate across 42 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
italy13–6-0.0715%19 Sept
nuke10–3-0.064%19 Sept
office13–6-0.0722%18 Sept
inferno10–130.0021%18 Sept
dust213–80.0115%17 Sept
inferno13–90.0215%17 Sept
office12–12-0.0115%10 Sept
mirage9–13-0.0213%10 Sept
dust210–13-0.0517%5 Sept
office13–60.0330%4 Sept
anubis13–10-0.0110%4 Sept
dust213–10-0.0824%30 Aug
inferno13–5-0.0333%30 Aug
dust28–13-0.0615%30 Aug
dust212–12-0.0231%30 Aug
dust26–13-0.027%28 Aug
cache12–12-0.0223%28 Aug
dust213–5-0.0625%26 Aug
dust21–13-0.0618%26 Aug
mirage13–7-0.0216%26 Aug
inferno10–130.0320%24 Aug
inferno5–13-0.0721%23 Aug
dust213–30.0157%23 Aug
dust26–13-0.0721%19 Aug
cache5–13-0.1011%16 Aug
fachwerk13–3-0.0413%16 Aug
office6–13-0.070%16 Aug
cache12–12-0.0814%16 Aug
cache6–13-0.0525%13 Aug
anubis3–13-0.0428%13 Aug
cache13–10-0.0617%10 Aug
train2–13-0.0519%7 Aug
vertigo4–13-0.0914%7 Aug
ancient12–12-0.0122%7 Aug
dust22–13-0.1015%7 Aug
cache13–8-0.047%6 Aug
mirage3–13-0.076%4 Aug
ancient0–6-0.0238%4 Aug
anubis13–3-0.074%4 Aug
dust213–10-0.0312%2 Aug
boulder13–6-0.0219%2 Aug
dust28–13-0.040%2 Aug
inferno13–60.029%2 Aug
dust213–7-0.0614%2 Aug
vertigo6–13-0.0911%1 Aug
boulder4–13-0.0215%1 Aug
dust27–13-0.0915%1 Aug
inferno8–13-0.059%31 Jul
dust212–12-0.0224%31 Jul
inferno8–13-0.0217%29 Jul
ancient11–13-0.0222%28 Jul
fachwerk13–100.0128%28 Jul
inferno13–4-0.0026%27 Jul
dust213–9-0.0215%27 Jul
inferno13–2-0.0411%26 Jul
dust213–9-0.0221%26 Jul
inferno13–8-0.0024%26 Jul
inferno7–13-0.0714%25 Jul
dust210–13-0.0123%25 Jul
nuke5–13-0.0627%24 Jul
dust28–13-0.1130%24 Jul
inferno2–13-0.0316%23 Jul
dust28–13-0.0419%21 Jul
dust210–130.0113%21 Jul
office13–30.0227%17 Jul
inferno13–6-0.0737%17 Jul
fachwerk13–5-0.0527%17 Jul
inferno15–15-0.1012%17 Jul
dust213–5-0.0119%16 Jul
cache11–130.0619%16 Jul
ancient4–13-0.0716%16 Jul
dust213–8-0.1118%13 Jul
cache13–3-0.0318%13 Jul
dust29–13-0.0723%13 Jul
dust21–13-0.1415%13 Jul
dust28–13-0.0517%12 Jul
dust213–60.0111%12 Jul
inferno9–13-0.0729%6 Jul
office7–13-0.0220%2 Jul
cache7–13-0.0615%2 Jul
warden13–8-0.0320%28 Jun
vertigo3–13-0.0942%28 Jun
inferno6–13-0.0722%27 Jun
dust213–8-0.0424%27 Jun
dust210–13-0.1019%27 Jun
dust210–13-0.0719%27 Jun
dust212–12-0.0728%23 Jun
dust213–60.0116%23 Jun
dust29–13-0.0418%21 Jun
inferno8–13-0.0515%31 May
dust26–13-0.0427%31 May
dust26–13-0.0726%31 May
dust210–13-0.0616%29 May
dust213–7-0.0136%29 May
dust23–13-0.0410%28 May
warden5–13-0.0011%28 May
cache13–5-0.0513%27 May
dust213–50.009%27 May
dust213–10-0.1019%25 May
dust26–13-0.0427%25 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 →