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Overspirit

Overspirit — CS2 Stats

US76561198208771701[U:1:248505973]Steam profile ↗

1,204Tracked matches47%Win rate2020Tracked since
CSDB Rating4.9 Developing
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGOverspiritFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim44
Positioning52
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateWLWLLWWLWL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

Aim4.4
Aggression6.7
Utility5.7
Positioning5.2
Opening Duels2.5

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

Twistzz

Plays most like Twistzz 84% playstyle similarity

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

Where you differ: lower utility contribution; 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. 631ms 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

Aim4.4
Positioning5.2
Utility5.7
Mechanics6.7
Opening Duels2.5
Win Impact3.9

Composite 4.9/10 (Developing), 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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time636ms−59ms
first ⅓ avg 696ms → last ⅓ avg 636ms
Headshot accuracy11.5%+3.8%
first ⅓ avg 7.7% → last ⅓ avg 11.5%

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

0.09Best rating — ancient 13–1
13–1Biggest win — cache
4Longest win streak
8–6In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 67% over 21anubisWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
ancientC3012–1840%-0.03
infernoS2114–767%-0.02
nukeC187–1139%-0.04
anubisC114–736%-0.03
overpassC73–443%-0.03
cacheC52–340%0.02
mirage—41–325%-0.05
dust2—22–0100%0.03
poseidon—10–10%-0.29
train—11–0100%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Anubis 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.

11.7%Headshot accuracy
30.7%Accuracy (enemy spotted)
33.9%Spray accuracy
80.1%Counter-strafing
11.3°Preaim
631msReaction time
33.9%T opening success
46.4%CT opening success
0.71Enemies flashed / flash
6.3%Flash assists
8.26HE damage / grenade
13.07Flashes / 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 11.7147% — 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 33.8827% — below the 40% mark we flag

Spend your practice time on Anubis

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–9-0.0013%11 Aug →
anubis9–13-0.0820%31 Jul →
dust213–70.0011%30 Jul →
inferno5–130.0413%26 Jul →
ancient6–130.0021%19 Jul →
cache13–70.0220%19 Jul →
cache13–10.0812%19 Jul →
ancient10–13-0.1011%15 Jul →
ancient16–120.0511%14 Jul →
inferno8–13-0.0510%3 Jul →
anubis13–90.006%1 Jul →
inferno4–13-0.0611%24 Jun →
anubis16–14-0.0613%23 Jun →
ancient9–13-0.0112%23 Jun →
ancient13–16-0.039%22 Jun →
nuke4–13-0.0012%22 Jun →
overpass5–13-0.108%20 Jun →
ancient13–8-0.017%20 Jun →
cache9–13-0.016%20 Jun →
nuke7–13-0.0814%20 Jun →
ancient13–7-0.0110%17 Jun →
cache6–130.0110%17 Jun →
inferno13–9-0.0212%12 Jun →
ancient13–9-0.028%11 Jun →
ancient9–13-0.0511%7 Jun →
inferno13–40.0618%6 Jun →
ancient13–110.0110%6 Jun →
overpass13–100.0212%2 Jun →
inferno9–13-0.0514%2 Jun →
cache8–13-0.029%13 May →
ancient6–13-0.1110%11 Apr →
nuke10–13-0.0710%11 Apr →
inferno13–6-0.035%2 Apr →
nuke13–7-0.043%31 Mar →
nuke13–8-0.029%19 Mar →
ancient12–16-0.0310%19 Mar →
nuke13–40.0211%18 Mar →
inferno13–8-0.0014%16 Mar →
nuke9–13-0.0211%13 Mar →
ancient11–13-0.0315%13 Mar →
inferno13–10-0.049%13 Mar →
ancient13–7-0.0610%12 Mar →
overpass16–14-0.0320%10 Mar →
nuke7–13-0.044%10 Mar →
ancient13–9-0.0211%9 Mar →
anubis9–13-0.076%7 Mar →
overpass9–13-0.0511%7 Mar →
nuke13–6-0.106%7 Mar →
anubis8–13-0.037%3 Mar →
inferno13–11-0.0211%3 Mar →
mirage6–13-0.125%1 Mar →
inferno13–8-0.039%1 Mar →
nuke4–13-0.113%1 Mar →
nuke1–13-0.1117%1 Mar →
inferno13–3-0.0514%28 Feb →
nuke13–50.0112%27 Feb →
ancient9–13-0.0416%20 Feb →
inferno13–60.016%20 Feb →
inferno13–3-0.0213%19 Feb →
ancient13–10.0915%19 Feb →
nuke13–80.038%18 Feb →
poseidon1–9-0.297%18 Feb →
dust213–80.0513%16 Feb →
ancient5–6-0.035%16 Feb →
overpass15–15-0.014%15 Feb →
mirage14–16-0.037%15 Feb →
inferno11–13-0.026%15 Feb →
ancient10–13-0.083%15 Feb →
mirage16–140.005%15 Feb →
mirage9–13-0.048%13 Feb →
ancient7–13-0.075%12 Feb →
overpass11–13-0.058%12 Feb →
overpass13–4-0.0010%11 Feb →
ancient9–13-0.064%11 Feb →
ancient7–13-0.0410%11 Feb →
ancient5–13-0.0214%11 Feb →
ancient14–160.003%7 Feb →
nuke10–13-0.038%7 Feb →
ancient16–14-0.044%7 Feb →
nuke4–13-0.0511%7 Feb →
inferno13–11-0.0611%3 Feb →
anubis13–8-0.0210%3 Feb →
ancient2–13-0.023%28 Jan →
anubis5–13-0.070%27 Jan →
anubis15–15-0.0410%26 Jan →
inferno16–13-0.068%25 Jan →
inferno13–4-0.036%24 Jan →
anubis13–30.0210%24 Jan →
ancient6–13-0.098%23 Jan →
anubis6–13-0.067%19 Jan →
anubis1–50.050%19 Jan →
ancient15–15-0.038%14 Jan →
inferno13–60.0520%14 Jan →
nuke8–13-0.0611%16 Dec →
inferno10–130.0012%16 Dec →
nuke8–1-0.050%15 Dec →
nuke9–13-0.0311%15 Dec →
train13–60.019%15 Dec →
inferno11–130.003%14 Dec →
ancient13–30.0715%14 Dec →

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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