Fallon Phoenix

Fallon Phoenix — CS2 Stats

76561197961208539[U:1:942811]Steam profile ↗

2,595Tracked matches41%Win rate2020Tracked since
1,960Hours in CS
CSDB Rating2.7 Learning
Premier CS Rating10,828Blue band · top ~50.5% of ranked players (population est.)
CSDB Leaderboard#18145 of 25172 tracked
FaceitLevel 4 · 818 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 4 medianLevel 5 medianvs Level 5
Headshot rate55.7%42.5%44.2%above
Shot accuracy5.3%10.9%11.2%5.9% short
Kill/death ratio1.140.991.04above
Match win rate44.4%44.2%45.3%meets

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFallon PhoenixFACEITLevel 4 · 818 ELOSTANDINGTop 81.0% of rankedPREMIER10,828 · Blue bandcsdb.gg/stats

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Performance scores

Aim22
Positioning37
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY51454Last 10051%Win rateLWWLLWLWWL

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

Player DNA

Aim2.2
Aggression3.3
Utility5.3
Positioning3.7
Opening Duels0.4
Clutch4.0

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 73% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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. 634ms 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

Aim2.2
Positioning3.7
Utility5.3
Mechanics2.2
Opening Duels1.1
Win Impact2.1

Composite 2.7/10 (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-0.03−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time637ms−17ms
first ⅓ avg 654ms → last ⅓ avg 637ms
Headshot accuracy10.5%−2.6%
first ⅓ avg 13.1% → last ⅓ avg 10.5%

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

0.08Best rating — ancient 13–4
132Biggest win — dust2
6Longest win streak
108In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 83% over 6infernoWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
ancientA2213959%-0.02
mirageA22121055%-0.03
dust2C1981142%-0.03
nukeC125742%-0.03
infernoC104640%-0.01
anubisS65183%0.00
cacheC52340%-0.06
overpass31233%-0.06
office110100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

98,440Lifetime kills
1.14K/D · Top 25% of Level 4 players
4,376Matches
44.4%Match win rate · Top 50% of Level 4 players
55.7%Headshot % · Top 10% of Level 4 players
5.3%Shot accuracy
7,432MVPs
1,960Hours (in match)
4,963Bombs planted
1,000Bombs defused

Most-used weapons

Lifetime map wins

10,664dust2
5,704nuke
5,663inferno
1,902vertigo
1,240office
1,210train
95cbble
25italy

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

Faceit stats

Combat

742Matches
50%Win rate
0.84Avg K/D
73.4ADR
40%Headshot %

Clutches & streaks

40%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage20152%0.8512.3
Dust214848%0.8513.3
Ancient9657%0.8213.2
Nuke9450%0.8413.1
Inferno8345%0.8112.8
Anubis6050%0.9314.1
Train3534%0.7612.2
Vertigo1457%0.7914.2

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.

10.3%Headshot accuracy
29.0%Accuracy (enemy spotted)
32.0%Spray accuracy
59.8%Counter-strafing
11.9°Preaim
634msReaction time
24.8%T opening success
38.6%CT opening success
0.65Enemies flashed / flash
3.8%Flash assists
9.70HE damage / grenade
9.55Flashes / 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 10.3447% — 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 24.8494% — 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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient7–13-0.0413%29 May
ancient13–6-0.036%29 May
mirage13–7-0.084%29 May
ancient11–13-0.0411%29 May
dust23–13-0.019%28 May
inferno13–110.056%28 May
mirage10–13-0.0111%28 May
inferno13–100.0118%28 May
nuke13–100.0418%27 May
overpass9–13-0.036%27 May
dust210–13-0.077%27 May
mirage11–13-0.0411%27 May
mirage16–14-0.0613%25 May
ancient13–4-0.0510%25 May
mirage11–13-0.0212%24 May
inferno9–13-0.057%24 May
nuke4–13-0.039%24 May
dust213–80.0110%24 May
mirage5–13-0.069%23 May
nuke11–13-0.0110%23 May
mirage11–13-0.100%22 May
ancient7–13-0.016%22 May
dust28–13-0.0215%22 May
dust213–20.0715%21 May
dust216–14-0.0512%21 May
mirage13–5-0.0611%21 May
ancient13–40.0314%21 May
ancient4–13-0.100%21 May
mirage5–13-0.0510%20 May
nuke15–150.0320%20 May
inferno8–13-0.0318%20 May
mirage11–13-0.0115%19 May
dust213–10-0.0510%19 May
ancient13–80.0416%19 May
mirage13–7-0.089%19 May
dust210–13-0.0620%19 May
inferno11–13-0.0315%18 May
inferno6–13-0.0411%18 May
dust213–90.039%18 May
ancient13–40.0813%17 May
nuke1–13-0.0719%16 May
dust28–13-0.0622%16 May
ancient12–160.0115%16 May
mirage13–30.0115%16 May
dust26–13-0.0413%8 May
mirage3–13-0.026%8 May
nuke9–13-0.0512%8 May
dust213–10-0.029%8 May
mirage15–15-0.1114%8 May
overpass10–13-0.098%7 May
office13–80.028%7 May
mirage7–13-0.046%7 May
anubis11–13-0.0414%7 May
ancient13–16-0.0614%7 May
nuke13–10-0.052%6 May
anubis13–10-0.0214%6 May
nuke6–13-0.0512%3 May
ancient13–11-0.0423%3 May
ancient12–12-0.058%1 May
cache3–13-0.0613%1 May
cache3–13-0.063%1 May
nuke13–10-0.1027%1 May
dust20–13-0.0914%1 May
dust213–6-0.0211%30 Apr
ancient16–14-0.048%30 Apr
ancient13–6-0.078%29 Apr
cache13–5-0.0710%29 Apr
cache12–12-0.0920%29 Apr
cache13–5-0.0325%29 Apr
anubis13–100.037%28 Apr
overpass16–13-0.046%26 Apr
ancient13–80.0412%26 Apr
ancient13–90.0214%26 Apr
ancient4–13-0.087%25 Apr
inferno4–13-0.0214%25 Apr
mirage13–9-0.0211%25 Apr
ancient13–10-0.049%24 Apr
mirage13–50.0610%22 Apr
mirage16–14-0.0210%22 Apr
nuke13–10-0.0312%22 Apr
dust28–13-0.0311%22 Apr
mirage13–110.0016%21 Apr
mirage13–70.0213%20 Apr
ancient6–13-0.0416%19 Apr
dust27–13-0.0618%15 Apr
ancient16–12-0.0216%15 Apr
dust210–10.0317%15 Apr
dust213–16-0.0412%14 Apr
nuke8–13-0.028%14 Apr
inferno13–8-0.0113%13 Apr
nuke13–11-0.0411%13 Apr
inferno2–13-0.057%9 Apr
anubis13–20.0414%9 Apr
dust29–13-0.049%9 Apr
mirage13–10-0.0321%8 Apr
anubis13–11-0.0516%8 Apr
ancient13–10-0.0117%8 Apr
mirage13–110.0010%7 Apr
inferno13–100.0616%6 Apr
anubis16–130.0415%6 Apr

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 →