PHAKER

PHAKER — CS2 Stats

76561198078025453[U:1:117759725]Steam profile ↗✓ No bans

957Tracked matches47%Win rate2020Tracked since
CSDB Rating6.7 SolidPositional Player
CSDB Leaderboard#62571 of 258958 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 21,538 -3,461 29 Apr – 3 Oct · 16 days played
19,87926,935peak 26,93529 Apr3 Oct
27,151Peak Premier in tracked matches
51Days played since 2025-04-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGPHAKERFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim83
Positioning71
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateLLWLLWLWWL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +3.6pp headshot accuracy · −25ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 28%
  • Avg reaction 481ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 466ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 479ms

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: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim8.3
Utility6.1
Positioning7.1
Opening Duels5.6
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.

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 93% playstyle similarity

Most alike: positioning profile, opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.3
Positioning7.1
Utility6.1
Mechanics5.6
Opening Duels6.1
Win Impact3.9

Composite 6.7/10 (Solid), 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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time473ms−73ms
first ⅓ avg 546ms → last ⅓ avg 473ms
Headshot accuracy22.8%−1.3%
first ⅓ avg 24.1% → last ⅓ avg 22.8%

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

0.18Best match rating · 13–6 · ancient, 16 Jul →
40%Best headshot accuracy · 0–4 · dust2, 11 May →
273msFastest reaction time · 8–2 · inferno, 11 May →
13–1Biggest win · inferno, 26 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
8–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 68% over 25anubisWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
infernoS2517–868%0.02
dust2C229–1341%0.01
anubisD175–1229%-0.01
ancientS1510–567%0.01
mirageC94–544%-0.02
cacheA85–363%0.01
train—22–0100%0.01
nuke—11–0100%0.05
grail—10–10%0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

637Matches
54%Win rate
1.05Avg K/D
78.7ADR
56%Headshot %

Clutches & streaks

40%1v1 clutch win
16%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust211149%1.0915.0
Anubis10447%1.0315.1
Inferno9964%1.1314.6
Ancient8456%1.0315.8
Cache3757%1.1516.1
Mirage1850%1.1514.8
Train1155%0.9713.4
Nuke683%1.2518.7

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.

22.7%Headshot accuracy
33.5%Accuracy (enemy spotted)
36.1%Spray accuracy
75.3%Counter-strafing
8.3°Preaim
469msReaction time
60.0%T opening success
48.6%CT opening success
0.47Enemies flashed / flash
4.8%Flash assists
7.19HE damage / grenade
11.25Flashes / 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 0.4715 — below the 0.5 mark we flag

    Grenade Lineups →
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.

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache3–13-0.0316%30 Oct →
anubis3–130.0325%30 Oct →
inferno13–40.0429%27 Oct →
anubis9–13-0.0538%24 Oct →
dust211–130.0533%23 Oct →
cache13–110.0329%20 Oct →
inferno8–13-0.0121%20 Oct →
inferno13–9-0.0313%18 Oct →
inferno13–70.0429%15 Oct →
inferno10–13-0.0118%10 Oct →
cache11–13-0.0126%10 Oct →
cache13–11-0.0433%9 Oct →
inferno9–130.0220%9 Oct →
ancient19–170.0018%9 Oct →
anubis4–13-0.0820%9 Oct →
inferno9–13-0.0111%9 Oct →
dust23–13-0.0833%3 Oct →
anubis9–13-0.0112%3 Oct →
ancient16–12-0.0411%2 Oct →
inferno13–110.0532%29 Sept →
anubis16–130.0518%29 Sept →
cache13–80.0733%28 Sept →
anubis3–13-0.058%28 Sept →
inferno13–10.1321%26 Sept →
dust211–13-0.0219%26 Sept →
dust213–40.0515%25 Sept →
anubis16–12-0.0119%21 Sept →
dust28–130.0131%16 Sept →
dust213–60.0429%16 Sept →
inferno8–130.0322%15 Sept →
inferno13–40.1228%15 Sept →
dust26–13-0.0226%14 Sept →
ancient6–13-0.0317%12 Sept →
ancient13–110.0016%8 Sept →
anubis12–160.0422%8 Sept →
ancient4–13-0.0813%5 Sept →
nuke13–90.0514%4 Sept →
dust213–20.1225%4 Sept →
ancient10–13-0.0018%3 Sept →
anubis6–13-0.0321%3 Sept →
ancient11–130.0136%3 Sept →
inferno13–80.0415%3 Sept →
inferno13–60.1031%1 Sept →
inferno16–14-0.0125%30 Aug →
anubis6–13-0.0439%29 Aug →
dust214–16-0.0235%28 Aug →
dust22–13-0.0034%17 Aug →
mirage3–10-0.0037%16 Aug →
inferno8–13-0.0019%14 Aug →
anubis3–130.0011%11 Aug →
dust24–13-0.0317%9 Aug →
dust213–50.1035%7 Aug →
inferno13–5-0.0320%7 Aug →
ancient16–140.0023%7 Aug →
cache13–7-0.0522%7 Aug →
inferno4–130.0119%6 Aug →
mirage13–100.0125%3 Aug →
cache13–60.0833%3 Aug →
cache4–50.0617%3 Aug →
ancient13–60.1835%16 Jul →
mirage6–13-0.0528%16 Jul →
inferno10–40.1236%16 Jul →
inferno9–130.0236%12 Feb →
mirage12–120.0127%26 Dec →
dust213–80.0115%26 Dec →
dust28–13-0.0814%31 Aug →
ancient13–100.0437%31 Aug →
ancient13–70.0329%23 May →
ancient13–6-0.0214%20 May →
train13–60.0228%19 May →
anubis13–40.0218%14 May →
inferno13–30.0123%14 May →
anubis13–30.0522%14 May →
anubis8–13-0.0626%13 May →
dust211–13-0.0333%11 May →
anubis13–30.0734%11 May →
mirage13–80.0411%11 May →
dust20–40.0140%11 May →
inferno8–2-0.0319%11 May →
dust20–13-0.0433%11 May →
anubis1–13-0.0323%11 May →
ancient13–40.0321%11 May →
ancient13–60.0614%11 May →
inferno13–60.0020%11 May →
mirage5–13-0.0538%11 May →
grail2–80.0921%11 May →
dust20–13-0.0640%10 May →
inferno13–5-0.0317%10 May →
mirage13–7-0.0611%10 May →
ancient5–13-0.0223%10 May →
dust213–20.0517%10 May →
mirage4–13-0.0521%10 May →
dust213–50.0226%7 May →
dust213–9-0.0238%7 May →
dust213–30.0436%7 May →
train13–9-0.0126%2 May →
inferno13–10-0.0018%2 May →
mirage16–14-0.0314%1 May →
anubis6–13-0.0317%29 Apr →
inferno13–20.0526%29 Apr →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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