medium sized ghost

medium sized ghost — CS2 Stats

76561198290877458[U:1:330611730]Steam profile ↗✓ No bans

1,096Tracked matches65%Win rate2020Tracked since
2,665Hours in CS24Hrs last 2 wks
CSDB Rating5.3 DevelopingClutch Specialist
Ladder ranks via Leetify

Performance scores

Aim43
Positioning59
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY48–42–10Last 10048%Win rateWLLWWTTWWW

Last 10 vs previous 10: 0pp win rate · −0.04 avg rating · +1.8pp headshot accuracy · +13ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 564ms

Last 10

  • 6–2–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 588ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 581ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.9 against its own average).

Aim4.3
Utility4.8
Positioning5.9
Opening Duels2.1
Clutch9.4

Reliable in 1v1s

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

Twistzz

Plays most like Twistzz 69% 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 53% on T to 35% on CT — first contacts on the defending side are being lost.

Reaction time. 587ms 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

Aim4.3
Positioning5.9
Utility4.8
Mechanics5.2
Opening Duels3.5
Win Impact10.0

Composite 5.3/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time581ms−26ms
first ⅓ avg 608ms → last ⅓ avg 581ms
Headshot accuracy12.9%−2.0%
first ⅓ avg 14.9% → last ⅓ avg 12.9%

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.

Personal bests

0.16Best match rating · 5–11 · nuke, 17 Sept →
100%Best headshot accuracy · 0–4 · mirage, 3 Oct →
313msFastest reaction time · 5–13 · train, 13 Oct →
13–1Biggest win · anubis, 21 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–8In matches decided by ≤2 rounds
2Overtime games

Map breakdown

nukeBest map · 59% over 22vertigoWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
cacheB2211–1150%0.02
nukeA2213–959%0.03
anubisC177–1041%0.01
vertigoC145–936%0.02
infernoB105–550%0.01
ancient—43–175%0.01
dust2—32–167%0.02
train—30–30%0.04
shelter—22–0100%0.01
mirage—10–10%0.02
fachwerk—10–10%-0.11
boulder—10–10%-0.02

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

143,338Lifetime kills
2.11K/D · Top 1% of tracked players
8,107Matches
47.0%Match win rate · Top 50% of tracked players
65.7%Headshot % · Top 5% of tracked players
17.4%Shot accuracy · Top 25% of tracked players
9,610MVPs
1,631Hours (in match)
3,475Bombs planted
778Bombs defused

Most-used weapons

AK-4719,646
AWP10,286
P906,511
SG 5536,060
MP75,068
AUG4,760
UMP-454,452

Lifetime map wins

4,935inferno
4,084dust2
3,050nuke
1,644train
1,274vertigo
558cbble
474office
123italy

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

Faceit stats

Combat

16Matches
75%Win rate
0.88Avg K/D
73.0ADR
35%Headshot %

Clutches & streaks

67%1v1 clutch win
12%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis4100%1.0112.0
Ancient475%0.9316.0
Overpass250%1.0017.5
Nuke10%1.1317.0
Cache1100%0.8618.0
Mirage10%0.6712.0

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.

13.1%Headshot accuracy
30.9%Accuracy (enemy spotted)
36.4%Spray accuracy
73.4%Counter-strafing
12.5°Preaim
587msReaction time
53.5%T opening success
34.9%CT opening success
0.52Enemies flashed / flash
3.7%Flash assists
5.85HE damage / grenade
8.87Flashes / 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 12.5405° — 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 13.1344% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Vertigo

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 14 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–8-0.0311%4 Nov →
inferno9–13-0.0325%4 Nov →
ancient9–13-0.068%4 Nov →
cache13–70.1626%4 Nov →
nuke13–100.0311%3 Nov →
cache12–120.0217%3 Nov →
nuke12–12-0.017%3 Nov →
cache13–4-0.0014%2 Nov →
anubis13–9-0.082%2 Nov →
cache13–100.0315%2 Nov →
inferno13–60.0116%2 Nov →
nuke13–11-0.028%2 Nov →
vertigo13–90.1310%30 Oct →
dust211–130.0514%30 Oct →
cache9–13-0.0015%30 Oct →
dust213–30.0516%30 Oct →
train9–130.0813%29 Oct →
shelter13–110.038%29 Oct →
vertigo11–130.0511%28 Oct →
ancient13–60.038%28 Oct →
anubis12–120.0113%28 Oct →
nuke13–60.0533%28 Oct →
vertigo13–8-0.049%27 Oct →
nuke13–10-0.0713%27 Oct →
nuke13–100.0113%26 Oct →
nuke7–130.0411%26 Oct →
nuke12–120.0721%25 Oct →
cache13–50.078%25 Oct →
anubis6–13-0.0916%25 Oct →
cache11–130.026%25 Oct →
nuke13–40.1010%24 Oct →
anubis3–60.0417%24 Oct →
anubis5–00.010%24 Oct →
nuke13–20.0711%24 Oct →
cache9–13-0.0116%24 Oct →
vertigo11–13-0.0218%20 Oct →
vertigo13–70.098%20 Oct →
anubis11–130.0713%20 Oct →
cache13–80.0518%19 Oct →
anubis10–13-0.0510%19 Oct →
anubis9–13-0.0029%15 Oct →
nuke13–110.0515%15 Oct →
nuke13–5-0.014%15 Oct →
cache13–100.0612%15 Oct →
nuke7–130.0222%14 Oct →
cache5–13-0.0719%14 Oct →
train12–120.0818%14 Oct →
vertigo13–70.0436%14 Oct →
anubis13–6-0.017%14 Oct →
ancient13–90.037%14 Oct →
inferno13–50.0714%14 Oct →
nuke11–130.0115%13 Oct →
anubis13–50.1326%13 Oct →
train5–13-0.054%13 Oct →
inferno8–130.0718%13 Oct →
vertigo12–120.0416%12 Oct →
cache5–13-0.0524%12 Oct →
cache6–130.0423%12 Oct →
nuke13–90.0513%12 Oct →
cache13–16-0.0118%12 Oct →
inferno2–00.0910%5 Oct →
mirage0–40.02100%3 Oct →
vertigo12–12-0.0116%29 Sept →
vertigo5–130.0015%29 Sept →
vertigo3–13-0.0618%29 Sept →
cache13–8-0.0220%24 Sept →
vertigo7–13-0.0212%24 Sept →
anubis9–130.0118%24 Sept →
inferno16–120.0522%23 Sept →
anubis13–1-0.008%21 Sept →
anubis12–12-0.018%20 Sept →
cache13–40.0619%20 Sept →
anubis11–130.0618%19 Sept →
inferno11–13-0.0611%18 Sept →
nuke13–10-0.0316%18 Sept →
vertigo10–130.0110%17 Sept →
inferno13–40.0215%17 Sept →
nuke5–110.1618%17 Sept →
cache13–7-0.0218%16 Sept →
nuke13–110.027%16 Sept →
ancient13–70.0510%16 Sept →
anubis13–80.0314%16 Sept →
nuke6–130.0120%15 Sept →
inferno6–13-0.0813%15 Sept →
vertigo13–100.0216%15 Sept →
nuke2–8-0.0636%15 Sept →
anubis2–130.045%15 Sept →
shelter13–6-0.0216%14 Sept →
nuke9–130.109%14 Sept →
fachwerk3–13-0.115%14 Sept →
nuke13–110.016%14 Sept →
cache12–120.0418%14 Sept →
inferno3–13-0.0431%14 Sept →
dust213–8-0.0419%1 Sept →
boulder7–13-0.0211%31 Aug →
cache12–120.0315%31 Aug →
cache13–11-0.0215%31 Aug →
vertigo4–130.0114%24 Aug →
cache8–130.0616%24 Aug →
cache13–5-0.0114%22 Aug →

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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