STRÅSA — CS2 Stats

76561198841343698[U:1:881077970]

846Tracked matches62%Win rate2020Tracked since
2,245Hours in CS3Hrs last 2 wks
CSDB Rating3.8 Learning
Premier CS Rating11,910Blue band · top ~44.8% of ranked players (population est.)
CSDB Leaderboard#19687 of 28008 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate38.9%42.1%42.1%3.2% short
Shot accuracy10.6%12.9%12.1%1.5% short
Kill/death ratio0.731.000.990.26 short
Match win rate41.2%42.9%43.9%2.7% short

This profile sits below the typical Level 3 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSTRÅSAFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER11,910 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim39
Positioning41
Utility44

0–100 skill scores via Leetify.

Recent form

HOT53425Last 10053%Win rateWWWLWWWLWL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating

Player DNA

Aim3.9
Aggression4.4
Utility4.4
Positioning4.1
Opening Duels0.6
Clutch0.0

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 78% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; 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. 614ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% 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

Aim3.9
Positioning4.1
Utility4.4
Mechanics2.2
Opening Duels0.8
Win Impact9.0

Composite 3.8/10 (Learning), 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 rating-0.04−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time614ms−67ms
first ⅓ avg 681ms → last ⅓ avg 614ms
Headshot accuracy12.6%−3.3%
first ⅓ avg 15.9% → last ⅓ avg 12.6%

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

0.17Best rating — anubis 13–0
130Biggest win — anubis
5Longest win streak
W3Current streak
46In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 64% over 11cacheWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
dust2A29161355%-0.03
cacheC146843%-0.04
infernoB136746%-0.02
mirageA117464%-0.04
ancientB105550%-0.02
anubisB84450%-0.00
vertigoB63350%-0.04
nuke31233%-0.06
overpass220100%-0.08
office21150%-0.04
train220100%-0.04

Across the last 100 tracked matches.

Lifetime stats

41,822Lifetime kills
0.73K/D
2,976Matches
41.2%Match win rate
38.9%Headshot %
10.6%Shot accuracy
6,303MVPs
1,116Hours (in match)
3,345Bombs planted
892Bombs defused

Most-used weapons

Lifetime map wins

2,828dust2
2,813vertigo
2,796inferno
1,365nuke
1,135train
692office
144lake
86safehouse

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

Faceit stats

Combat

94Matches
46%Win rate
1.06Avg K/D
61.6ADR
45%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage520%0.6911.2
Inferno10%0.9625.0
Anubis10%0.508.0
Dust21100%0.829.0
Overpass10%0.7213.0

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.

12.2%Headshot accuracy
29.9%Accuracy (enemy spotted)
33.6%Spray accuracy
59.7%Counter-strafing
8.2°Preaim
614msReaction time
28.4%T opening success
36.6%CT opening success
0.61Enemies flashed / flash
2.4%Flash assists
8.25HE damage / grenade
7.29Flashes / 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 12.1789% — 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 28.4095% — below the 40% mark we flag

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.

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
vertigo13–70.0013%24 Aug
inferno13–9-0.044%20 Aug
ancient13–30.0313%13 Aug
cache8–13-0.1013%13 Aug
cache13–4-0.057%13 Aug
inferno13–7-0.057%11 Aug
dust213–7-0.0111%11 Aug
ancient8–13-0.057%7 Aug
inferno13–9-0.0014%7 Aug
dust20–13-0.087%6 Aug
anubis9–13-0.065%6 Aug
inferno13–30.0124%6 Aug
anubis10–13-0.0614%4 Aug
dust213–11-0.0515%3 Aug
dust213–60.0313%3 Aug
mirage13–9-0.059%3 Aug
nuke13–9-0.0310%2 Aug
dust213–3-0.0117%2 Aug
cache8–13-0.0610%2 Aug
dust211–13-0.0714%30 Jul
dust213–110.0216%30 Jul
vertigo13–7-0.0711%30 Jul
ancient3–13-0.086%30 Jul
vertigo13–5-0.0116%28 Jul
dust213–5-0.0621%28 Jul
vertigo10–13-0.0610%27 Jul
cache3–13-0.0115%27 Jul
inferno10–13-0.0615%27 Jul
dust216–13-0.0214%27 Jul
inferno12–120.0114%27 Jul
mirage4–10-0.0816%27 Jul
dust21–5-0.0329%27 Jul
anubis13–4-0.077%26 Jul
mirage6–13-0.0416%26 Jul
overpass13–11-0.1210%25 Jul
dust213–4-0.0229%25 Jul
cache10–13-0.0424%25 Jul
anubis11–13-0.0412%24 Jul
dust211–130.058%24 Jul
inferno16–13-0.0214%24 Jul
cache11–13-0.0313%23 Jul
dust214–16-0.039%23 Jul
anubis13–60.0815%23 Jul
cache13–7-0.0819%23 Jul
dust215–15-0.0217%23 Jul
dust26–13-0.1018%22 Jul
vertigo12–12-0.0318%22 Jul
nuke3–13-0.0813%22 Jul
dust26–13-0.0313%22 Jul
dust213–6-0.0324%21 Jul
inferno15–15-0.0217%21 Jul
dust213–5-0.0415%20 Jul
mirage13–50.048%20 Jul
anubis11–13-0.028%20 Jul
cache13–9-0.0222%20 Jul
dust213–9-0.0318%20 Jul
ancient13–60.0315%19 Jul
dust213–70.0314%19 Jul
inferno7–13-0.075%19 Jul
dust213–9-0.0218%19 Jul
mirage13–9-0.086%19 Jul
inferno10–130.0110%18 Jul
ancient13–8-0.0013%18 Jul
dust28–13-0.0412%17 Jul
ancient13–11-0.0412%17 Jul
inferno13–6-0.0316%17 Jul
anubis13–00.1716%17 Jul
cache13–80.0623%16 Jul
cache6–13-0.0812%16 Jul
dust213–50.0115%16 Jul
inferno13–160.0111%16 Jul
mirage13–8-0.0113%16 Jul
cache13–8-0.0121%16 Jul
dust28–00.0225%15 Jul
anubis13–60.009%15 Jul
ancient5–13-0.056%15 Jul
dust212–16-0.0927%15 Jul
office9–13-0.0616%14 Jul
dust24–13-0.0821%14 Jul
mirage13–9-0.0513%12 Jul
cache10–13-0.0715%30 Jun
office13–9-0.0115%30 Jun
dust27–13-0.0515%30 Jun
overpass13–7-0.0424%29 Jun
mirage9–13-0.0619%29 Jun
ancient6–13-0.0716%28 Jun
inferno6–13-0.0616%28 Jun
dust213–7-0.0613%28 Jun
ancient13–60.0718%24 Jun
nuke12–12-0.078%24 Jun
cache13–5-0.0418%24 Jun
dust28–13-0.0516%24 Jun
mirage13–7-0.0211%21 Jun
ancient10–13-0.0112%21 Jun
mirage13–3-0.0321%21 Jun
cache7–13-0.0611%21 Jun
train13–8-0.0320%21 Jun
train13–8-0.0519%15 Jun
mirage9–13-0.0023%15 Jun
vertigo8–13-0.084%15 Jun

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 →