dasPhantom

dasPhantom — CS2 Stats

76561198409856627[U:1:449590899]Steam profile ↗✓ No bans

623Tracked matches53%Win rate2020Tracked since
CSDB Rating3.7 LearningClutch Specialist
WingmanGold Nova I
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 52 days played since 24 Nov 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 7,530 -1,225 24 Nov4 Aug · 23 days played
6,6359,868peak 9,86824 Nov4 Aug
9,868Peak Premier in tracked matches
52Days played since 2025-11-24

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Performance scores

Aim30
Positioning47
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY44524Last 10044%Win rateLLWLWWWLWW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −1.7pp headshot accuracy · −73ms reaction

Win rate −10pp 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

  • 23 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 8%
  • Avg reaction 609ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 9%
  • Avg reaction 613ms

Last 20

  • 137 · 65% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 649ms

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 SpecialistLate-round 1vX conversion stands above the rest of this profile (+1.5 against its own average).

Aim3.0
Utility4.9
Positioning4.7
Opening Duels2.3
Clutch6.0

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

iM

Plays most like iM 64% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 45% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 653ms 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

Aim3.0
Positioning4.7
Utility4.9
Mechanics2.3
Opening Duels1.9
Win Impact6.1

Composite 3.7/10 (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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time655ms+43ms
first ⅓ avg 611ms → last ⅓ avg 655ms
Headshot accuracy9.8%−0.4%
first ⅓ avg 10.2% → last ⅓ avg 9.8%

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

0.07Best match rating · 10–13 · inferno, 18 Jun
25%Best headshot accuracy · 8–13 · inferno, 5 Dec
469msFastest reaction time · 11–13 · mirage, 4 Sept
13–3Biggest win · nuke, 29 Nov

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
96In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 73% over 11infernoWeakest map · 33% over 33
MapGradePlayedRecordWin rateAvg rating
infernoD33112233%-0.03
mirageC2071335%-0.02
ancientB157847%-0.03
nukeS118373%-0.01
dust2S107370%-0.02
anubisA74357%-0.03
overpass3030%-0.02
train1010%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 33). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3Matches
0%Win rate
0.73Avg K/D
67.1ADR
31%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient10%1.3822.0
Inferno10%0.5712.0
Mirage10%0.233.0

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.

9.2%Headshot accuracy
33.9%Accuracy (enemy spotted)
36.0%Spray accuracy
60.5%Counter-strafing
11.3°Preaim
653msReaction time
29.1%T opening success
45.4%CT opening success
0.61Enemies flashed / flash
6.1%Flash assists
7.42HE damage / grenade
6.67Flashes / 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 9.191% — 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 29.0821% — 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.

33% win rate across 33 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno10–13-0.0712%4 Sept
mirage11–13-0.087%4 Sept
inferno13–5-0.048%5 Aug
anubis9–13-0.068%4 Aug
anubis13–11-0.075%3 Aug
nuke13–8-0.0313%3 Aug
inferno13–8-0.048%2 Aug
mirage10–13-0.0311%2 Aug
inferno13–7-0.0313%1 Aug
nuke13–60.036%1 Aug
dust214–160.0114%31 Jul
inferno13–9-0.044%31 Jul
inferno10–13-0.0713%31 Jul
mirage13–110.019%31 Jul
dust213–70.0211%29 Jul
ancient13–9-0.0211%27 Jul
dust213–7-0.0618%26 Jul
nuke13–70.0211%26 Jul
mirage6–13-0.0515%24 Jul
mirage13–9-0.053%13 Jul
inferno9–13-0.0110%13 Jul
dust28–13-0.018%11 Jul
inferno12–16-0.033%11 Jul
dust22–13-0.0122%11 Jul
inferno4–13-0.020%10 Jul
mirage7–130.0411%29 Jun
mirage13–70.017%29 Jun
ancient8–130.0213%29 Jun
dust213–9-0.025%24 Jun
inferno13–7-0.050%23 Jun
ancient11–13-0.0513%23 Jun
anubis13–70.0416%22 Jun
ancient10–13-0.0416%22 Jun
nuke8–13-0.053%21 Jun
inferno12–12-0.086%21 Jun
nuke9–13-0.030%20 Jun
mirage13–80.058%18 Jun
inferno12–12-0.0819%18 Jun
inferno10–130.0712%18 Jun
mirage3–130.026%17 Jun
inferno8–13-0.045%17 Jun
ancient10–13-0.0610%15 Jun
mirage3–13-0.0413%12 Apr
dust213–7-0.0414%11 Apr
anubis5–13-0.0623%11 Apr
mirage10–13-0.0311%11 Apr
anubis13–7-0.0310%2 Apr
inferno13–8-0.0515%29 Mar
mirage11–13-0.057%29 Mar
dust27–3-0.0414%28 Mar
anubis13–11-0.054%28 Mar
inferno13–6-0.0324%28 Mar
ancient16–13-0.0313%23 Mar
inferno6–13-0.0819%20 Mar
mirage13–16-0.0019%20 Mar
ancient13–110.027%13 Mar
mirage13–11-0.034%13 Mar
inferno15–15-0.0410%12 Mar
anubis9–130.003%12 Mar
inferno14–16-0.069%4 Jan
nuke13–11-0.089%4 Jan
inferno9–13-0.0314%30 Dec
ancient7–13-0.0424%24 Dec
inferno13–60.017%23 Dec
mirage3–13-0.025%23 Dec
dust213–10-0.0213%18 Dec
ancient13–10-0.029%17 Dec
ancient8–13-0.075%16 Dec
inferno9–130.0120%16 Dec
mirage11–13-0.0713%15 Dec
ancient6–13-0.019%12 Dec
mirage13–5-0.049%12 Dec
nuke13–110.0413%12 Dec
inferno13–100.0115%6 Dec
ancient16–14-0.0510%6 Dec
inferno8–13-0.0325%5 Dec
nuke13–90.036%5 Dec
overpass9–13-0.0318%4 Dec
inferno9–13-0.066%4 Dec
inferno9–13-0.013%4 Dec
inferno4–130.0112%3 Dec
overpass8–13-0.038%2 Dec
inferno4–13-0.106%2 Dec
ancient3–13-0.1315%2 Dec
inferno15–15-0.098%30 Nov
mirage8–130.013%30 Nov
ancient13–90.0111%29 Nov
nuke13–3-0.028%29 Nov
inferno13–11-0.058%29 Nov
nuke13–50.016%27 Nov
dust213–30.037%27 Nov
inferno16–130.0211%27 Nov
ancient13–8-0.0311%26 Nov
inferno7–13-0.0213%26 Nov
mirage13–80.0211%26 Nov
mirage10–13-0.0414%25 Nov
overpass8–130.019%25 Nov
train2–13-0.027%25 Nov
nuke4–13-0.058%24 Nov
inferno8–13-0.007%24 Nov

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 →