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Don Hansen — CS2 Stats

76561198362867158[U:1:402601430]

1,460Tracked matches32%Win rate2021Tracked since
CSDB Rating1.7 Learning
WingmanGold Nova I
Ladder ranks via Leetify

Performance scores

Aim9
Positioning22
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY34–63–3Last 10034%Win rateLWLLLLLWWW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim0.9
Aggression0.0
Utility5.7
Positioning2.2
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 57% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 604ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 53% 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

Aim0.9
Positioning2.2
Utility5.7
Mechanics0.7
Opening Duels0.0
Win Impact0.0

Composite 1.7/10 (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-0.06+0.00
first ⅓ avg -0.07 → last ⅓ avg -0.06
Reaction time598ms−16ms
first ⅓ avg 614ms → last ⅓ avg 598ms
Headshot accuracy10.9%−3.3%
first ⅓ avg 14.1% → last ⅓ avg 10.9%

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.

Highlights

0.12Best rating — vertigo 9–3
13–0Biggest win — nuke
5Longest win streak
3–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 56% over 16cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoD288–2029%-0.07
ancientD194–1521%-0.07
nukeA169–756%-0.04
anubisC125–742%-0.06
overpassC104–640%-0.10
cacheD51–420%-0.07
vertigo—32–167%-0.01
office—31–233%-0.08
mirage—30–30%-0.07
dust2—10–10%-0.07

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.5%Headshot accuracy
25.9%Accuracy (enemy spotted)
25.9%Spray accuracy
53.3%Counter-strafing
14.9°Preaim
604msReaction time
7.0%T opening success
18.2%CT opening success
0.52Enemies flashed / flash
2.7%Flash assists
4.87HE damage / grenade
13.01Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.8772° — above the 12° mark we flag

    Aim Training →
  2. 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 10.5497% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Cache

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
vertigo6–13-0.0915%27 Aug →
nuke9–6-0.0118%27 Aug →
inferno3–9-0.158%27 Aug →
ancient10–13-0.088%26 Aug →
anubis14–16-0.113%24 Aug →
ancient9–13-0.0718%24 Aug →
ancient5–13-0.0722%23 Aug →
nuke13–9-0.036%23 Aug →
office13–5-0.084%23 Aug →
nuke13–00.0912%22 Aug →
nuke13–2-0.094%22 Aug →
inferno13–80.048%22 Aug →
anubis12–12-0.059%21 Aug →
inferno10–13-0.042%21 Aug →
overpass13–4-0.0410%19 Aug →
anubis13–4-0.084%19 Aug →
cache10–13-0.1026%19 Aug →
inferno8–13-0.0323%16 Aug →
inferno11–13-0.0410%16 Aug →
inferno6–13-0.0913%10 Aug →
mirage4–13-0.110%6 Aug →
ancient9–13-0.0811%6 Aug →
inferno13–5-0.0713%6 Aug →
nuke8–13-0.029%6 Aug →
inferno9–13-0.0820%2 Aug →
cache5–13-0.087%2 Aug →
ancient8–13-0.086%1 Aug →
vertigo13–10-0.0614%1 Aug →
ancient15–15-0.076%1 Aug →
anubis14–16-0.0712%1 Aug →
overpass4–13-0.1014%15 Jun →
ancient8–13-0.018%15 Jun →
inferno13–9-0.0815%12 Jun →
inferno8–13-0.066%9 Jun →
ancient9–13-0.087%1 Jun →
anubis3–13-0.0215%26 May →
ancient10–13-0.0711%26 May →
nuke13–50.047%25 May →
anubis13–6-0.0221%25 May →
inferno13–3-0.0914%25 May →
overpass2–13-0.0514%24 May →
overpass13–7-0.0417%24 May →
nuke7–130.0115%24 May →
inferno6–13-0.0635%24 May →
dust25–13-0.079%23 May →
inferno9–13-0.1314%22 May →
nuke11–13-0.1015%22 May →
inferno5–9-0.0824%22 May →
overpass1–9-0.230%22 May →
ancient11–13-0.0716%21 May →
nuke15–15-0.068%21 May →
inferno2–13-0.0911%21 May →
anubis16–13-0.057%21 May →
inferno9–13-0.0612%21 May →
ancient13–7-0.027%18 May →
inferno13–9-0.038%18 May →
nuke13–3-0.054%18 May →
anubis13–7-0.0722%18 May →
inferno13–7-0.0515%18 May →
ancient6–13-0.0914%17 May →
nuke13–11-0.027%17 May →
ancient5–13-0.0814%15 May →
office11–13-0.083%15 May →
office8–13-0.084%15 May →
overpass16–12-0.078%14 May →
inferno10–13-0.088%14 May →
nuke5–13-0.0514%14 May →
inferno7–13-0.0312%14 May →
inferno8–13-0.0410%14 May →
inferno13–16-0.075%12 May →
inferno13–4-0.0214%12 May →
cache13–6-0.0616%12 May →
anubis5–13-0.0917%9 May →
inferno5–13-0.0310%9 May →
overpass13–9-0.019%8 May →
vertigo9–30.1215%8 May →
inferno7–9-0.179%8 May →
cache7–13-0.0619%8 May →
cache5–13-0.033%8 May →
anubis8–13-0.0713%6 May →
nuke10–13-0.0914%6 May →
inferno8–13-0.0416%5 May →
nuke13–1-0.0012%5 May →
mirage11–13-0.045%5 May →
overpass14–16-0.087%5 May →
overpass1–9-0.29100%5 May →
inferno2–9-0.2214%5 May →
ancient13–11-0.1016%4 May →
ancient9–13-0.0712%4 May →
nuke8–13-0.077%4 May →
ancient8–13-0.0610%4 May →
mirage4–13-0.0625%3 May →
anubis10–13-0.073%3 May →
inferno13–20.0217%2 May →
ancient13–11-0.0420%2 May →
overpass7–13-0.1110%1 May →
anubis13–7-0.066%1 May →
nuke13–4-0.106%1 May →
ancient6–13-0.093%1 May →
ancient16–12-0.0613%1 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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