Phantom ➷ ➸ ➹ ➺ — CS2 Stats

76561198176623937[U:1:216358209]

1,569Tracked matches55%Win rate2023Tracked since
1,240Hours in CS
CSDB Rating4.3 Developing
Premier CS Rating16,317Purple band · top ~23.2% of ranked players (population est.)
CSDB Leaderboard#10434 of 17257 tracked
FaceitLevel 3 · 903 ELOTop 90.6% of ranked FACEIT players
WingmanSilver Elite
Ladder ranks via Leetify

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CSDB.GGPhantom ➷ ➸ ➹ ➺FACEITLevel 3 · 903 ELOSTANDINGTop 90.6% of rankedPREMIER16,317 · Purple bandcsdb.gg/stats

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Performance scores

Aim54
Positioning45
Utility15

0–100 skill scores via Leetify.

Recent form

STEADY54433Last 10054%Win rateWLLLLWWLLW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim5.4
Aggression4.1
Utility1.5
Positioning4.5
Opening Duels1.6
Clutch5.0

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 77% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 557ms 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

Aim5.4
Positioning4.5
Utility1.5
Mechanics4.6
Opening Duels1.6
Win Impact6.7

Composite 4.3/10 (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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time564ms−42ms
first ⅓ avg 606ms → last ⅓ avg 564ms
Headshot accuracy16.3%+0.3%
first ⅓ avg 16.1% → last ⅓ avg 16.3%

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

0.13Best rating — cache 13–8
130Biggest win — anubis
6Longest win streak
1110In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 67% over 12infernoWeakest map · 39% over 18
MapGradePlayedRecordWin rateAvg rating
infernoC1871139%-0.01
dust2S1711665%0.01
ancientB168850%-0.02
nukeB136746%0.00
mirageA138562%-0.00
cacheS128467%0.02
anubisA106460%0.01
overpass1010%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

54,622Lifetime kills
0.99K/D
3,071Matches
47.0%Match win rate · Top 50% of tracked players
43.3%Headshot %
5.3%Shot accuracy
6,262MVPs
1,240Hours (in match)
1,668Bombs planted
629Bombs defused

Most-used weapons

AK-479,458
AWP6,666
SSG 083,437
XM10142,102
P902,021
Nova1,573

Lifetime map wins

10,042dust2
4,309inferno
3,274nuke
1,346vertigo
682train
82cbble
53office
20ar_shoots

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

Faceit stats

Combat

233Matches
48%Win rate
0.93Avg K/D
79.4ADR
45%Headshot %

Clutches & streaks

45%1v1 clutch win
22%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage5448%1.0114.7
Inferno4846%0.9314.5
Dust24048%0.8813.7
Ancient2642%0.9215.4
Nuke2143%0.9614.9
Anubis1735%0.8413.6
Cache1573%0.9413.5
Train667%0.8212.3

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.

16.6%Headshot accuracy
30.0%Accuracy (enemy spotted)
30.6%Spray accuracy
70.6%Counter-strafing
9.1°Preaim
557msReaction time
32.5%T opening success
40.6%CT opening success
0.25Enemies flashed / flash
0.0%Flash assists
6.11HE damage / grenade
0.64Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2457 — below the 0.5 mark we flag

    Grenade Lineups
  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 32.4966% — below the 40% mark we flag

Spend your practice time on Inferno

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

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–8-0.0310%26 Aug
nuke4–13-0.0413%25 Aug
ancient13–16-0.0214%23 Aug
inferno11–13-0.0410%23 Aug
nuke3–130.0114%23 Aug
ancient13–10-0.0631%23 Aug
inferno13–9-0.0327%22 Aug
mirage2–13-0.1115%22 Aug
ancient9–130.0314%22 Aug
cache13–7-0.0024%21 Aug
anubis13–0-0.055%21 Aug
dust213–40.0225%21 Aug
inferno15–15-0.0527%20 Aug
anubis13–100.0320%19 Aug
dust213–110.0811%19 Aug
anubis9–13-0.0027%15 Aug
mirage7–130.007%15 Aug
ancient13–6-0.1216%13 Aug
inferno11–130.0121%9 Aug
cache13–100.0111%9 Aug
dust211–130.0433%8 Aug
cache13–20.0311%8 Aug
ancient12–16-0.0414%7 Aug
anubis9–13-0.0221%5 Aug
dust213–50.0716%5 Aug
cache13–80.139%5 Aug
mirage13–6-0.058%5 Aug
ancient16–13-0.0218%4 Aug
inferno10–13-0.004%4 Aug
ancient13–11-0.0811%2 Aug
ancient13–11-0.0321%2 Aug
cache11–13-0.0121%2 Aug
anubis11–130.0412%1 Aug
inferno11–13-0.0511%1 Aug
mirage13–100.0111%1 Aug
dust213–4-0.0018%30 Jul
dust213–50.0229%29 Jul
inferno13–11-0.0310%26 Jul
inferno8–13-0.0713%26 Jul
dust25–13-0.128%23 Jul
ancient8–130.0516%23 Jul
mirage13–4-0.0211%23 Jul
dust213–16-0.0014%21 Jul
nuke13–70.0311%21 Jul
nuke4–13-0.0927%19 Jul
cache12–160.029%19 Jul
mirage15–15-0.0215%19 Jul
mirage13–110.0210%19 Jul
dust213–70.0525%18 Jul
inferno11–50.0110%18 Jul
inferno13–70.0324%18 Jul
nuke9–130.0018%18 Jul
dust213–100.0117%18 Jul
mirage13–70.0612%17 Jul
dust28–13-0.0421%17 Jul
anubis13–8-0.0017%17 Jul
inferno13–60.0321%17 Jul
dust29–13-0.0220%16 Jul
nuke13–90.0525%16 Jul
cache10–130.0220%15 Jul
ancient13–50.0413%14 Jul
anubis16–13-0.0111%12 Jul
cache11–13-0.0413%12 Jul
cache13–80.0023%12 Jul
nuke13–100.0313%12 Jul
cache13–40.0122%11 Jul
cache13–110.1121%11 Jul
inferno10–13-0.0119%11 Jul
nuke16–140.0416%10 Jul
mirage9–13-0.0312%9 Jul
anubis9–130.0122%8 Jul
overpass4–13-0.018%5 Jul
mirage13–40.1222%4 Jul
ancient13–50.088%4 Jul
nuke7–13-0.059%28 Jun
ancient13–8-0.013%26 Jun
dust213–10-0.0528%26 Jun
dust29–130.0238%18 Jun
inferno13–60.0922%18 Jun
nuke13–30.0317%13 Jun
inferno14–16-0.0612%11 Jun
dust213–110.0810%11 Jun
ancient11–130.067%6 Jun
nuke15–15-0.0220%6 Jun
inferno6–13-0.0223%6 Jun
inferno8–13-0.0613%5 Jun
nuke13–110.0415%4 Jun
mirage11–13-0.0421%3 Jun
nuke8–13-0.0310%3 Jun
ancient10–13-0.1215%3 Jun
cache13–11-0.0221%3 Jun
ancient5–13-0.0420%3 Jun
inferno13–110.0314%2 Jun
dust216–120.0013%13 May
dust213–100.0111%13 May
mirage13–50.0724%12 May
anubis13–70.0921%12 May
mirage13–90.0119%12 May
inferno13–16-0.056%10 May
ancient10–130.0214%10 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 →