athaulf10

athaulf10 — CS2 Stats

76561198285848977[U:1:325583249]Steam profile ↗✓ No bans

124Tracked matches59%Win rate2023Tracked since
CSDB Rating3.6 LearningSupport
WingmanGold Nova II
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

Aim34
Positioning30
Utility40

0–100 skill scores via Leetify.

Recent form

HOT474310Last 10047%Win rateWWWWWLLWTW

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · −3.9pp headshot accuracy · −76ms reaction

Win rate up 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 50 · 100% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 534ms

Last 10

  • 721 · 70% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 561ms

Last 20

  • 1181 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 599ms

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: SupportUtility contribution stands above the rest of this profile (+1.7 against its own average).

Aim3.4
Utility4.0
Positioning3.0
Opening Duels0.0

Limited 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

NiKo

Plays most like NiKo 73% 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

Reaction time. 599ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim3.4
Positioning3.0
Utility4.0
Mechanics3.7
Opening Duels0.0
Win Impact7.9

Composite 3.6/10 (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+0.02
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time604ms−92ms
first ⅓ avg 696ms → last ⅓ avg 604ms
Headshot accuracy13.7%+2.0%
first ⅓ avg 11.7% → last ⅓ avg 13.7%

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

0.05Best match rating · 13–8 · dust2, 28 Dec
30%Best headshot accuracy · 1–13 · train, 28 Dec
359msFastest reaction time · 6–13 · office, 16 Sept
13–2Biggest win · cache, 18 Sept

Across the last 100 tracked matches.

Highlights

5Longest win streak
W5Current streak
1Overtime games

Map breakdown

cacheBest map · 73% over 11mirageWeakest map · 39% over 23
MapGradePlayedRecordWin rateAvg rating
mirageC2391439%-0.03
nukeC1871139%-0.05
dust2A149564%-0.03
cacheS118373%-0.05
infernoC94544%-0.05
vertigoB84450%-0.05
anubisC52340%-0.03
ancient41325%-0.06
office31233%-0.05
train2020%-0.07
poseidon110100%-0.10
overpass1010%-0.03
italy110100%-0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (39% over 23). Start with the 6 essential Mirage 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.

13.8%Headshot accuracy
28.0%Accuracy (enemy spotted)
27.6%Spray accuracy
66.9%Counter-strafing
10.3°Preaim
599msReaction time
27.4%T opening success
29.1%CT opening success
0.51Enemies flashed / flash
4.1%Flash assists
6.18HE damage / grenade
4.43Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.8495% — below the 15% mark we flag

    Aim Training
  2. 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 27.4086% — below the 40% mark we flag

Spend your practice time on Mirage

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

39% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–60.018%19 Sept
vertigo13–7-0.0613%19 Sept
mirage13–70.0324%19 Sept
cache13–3-0.068%19 Sept
dust213–9-0.049%19 Sept
mirage8–13-0.0614%19 Sept
mirage7–13-0.0713%18 Sept
vertigo13–70.0119%18 Sept
anubis12–12-0.027%18 Sept
cache13–2-0.0419%18 Sept
nuke8–13-0.0421%16 Sept
mirage7–13-0.0626%16 Sept
anubis7–13-0.043%16 Sept
office6–13-0.040%16 Sept
dust213–30.0121%15 Sept
vertigo13–4-0.0321%11 Sept
ancient13–100.0116%11 Sept
mirage10–13-0.0220%11 Sept
cache13–9-0.0520%10 Sept
dust210–13-0.0123%10 Sept
nuke13–4-0.0819%10 Sept
inferno10–13-0.0512%10 Sept
nuke13–5-0.106%9 Sept
inferno13–10-0.072%9 Sept
mirage13–8-0.0213%9 Sept
nuke13–2-0.049%7 Sept
mirage13–40.0019%7 Sept
dust211–13-0.0410%7 Sept
vertigo10–13-0.0613%5 Sept
nuke7–13-0.0311%5 Sept
ancient6–13-0.038%5 Sept
office6–13-0.0518%5 Sept
mirage2–13-0.059%5 Sept
dust210–30.0519%5 Sept
inferno6–13-0.037%5 Sept
mirage2–13-0.0612%5 Sept
cache13–4-0.066%3 Sept
mirage12–12-0.0116%3 Sept
poseidon9–5-0.107%3 Sept
nuke6–9-0.136%3 Sept
mirage5–13-0.015%3 Sept
nuke12–12-0.0510%3 Sept
vertigo13–4-0.1315%1 Sept
cache4–13-0.100%1 Sept
nuke9–6-0.0017%1 Sept
dust213–7-0.066%28 Aug
nuke6–130.0113%28 Aug
vertigo8–80.0116%28 Aug
nuke13–6-0.059%27 Aug
mirage13–7-0.0713%27 Aug
dust213–9-0.0011%27 Aug
mirage13–5-0.037%27 Aug
mirage2–13-0.0215%26 Aug
cache13–60.019%26 Aug
inferno13–7-0.0625%26 Aug
cache13–11-0.107%19 Aug
mirage8–130.0013%18 Aug
vertigo12–12-0.080%16 Aug
inferno8–13-0.064%16 Aug
mirage7–13-0.078%16 Aug
nuke8–13-0.0610%16 Aug
mirage8–2-0.030%16 Aug
dust213–4-0.1013%16 Aug
nuke13–9-0.0519%16 Aug
cache13–10-0.0717%12 Aug
cache10–13-0.0814%11 Aug
inferno9–6-0.0517%11 Aug
dust216–13-0.0310%10 Aug
inferno13–11-0.0612%9 Aug
cache13–5-0.044%9 Aug
cache12–12-0.0114%9 Aug
nuke13–10-0.0214%8 Aug
dust24–13-0.0919%4 Aug
mirage13–10-0.039%4 Aug
dust213–9-0.0527%1 Aug
anubis8–13-0.0917%26 Jul
anubis6–0-0.020%26 Jul
nuke6–13-0.1011%26 Jul
mirage9–13-0.074%26 Jul
dust212–12-0.069%24 Jul
mirage13–3-0.027%24 Jul
mirage12–12-0.0716%23 Jul
train2–13-0.0711%23 Jul
inferno7–13-0.0411%28 Mar
vertigo1–5-0.088%28 Mar
nuke12–12-0.055%28 Mar
nuke7–13-0.0725%19 Mar
mirage13–3-0.004%19 Mar
overpass12–12-0.0312%19 Mar
nuke8–13-0.045%18 Mar
ancient1–13-0.105%18 Mar
dust26–13-0.127%22 Jan
mirage6–13-0.0120%18 Jan
train1–13-0.0830%28 Dec
nuke7–13-0.0610%28 Dec
ancient0–13-0.1211%28 Dec
dust213–80.0521%28 Dec
inferno3–13-0.079%27 Dec
italy13–9-0.0711%27 Dec
office13–8-0.068%27 Dec

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 →