Dax

Dax — CS2 Stats

76561197961305418[U:1:1039690]Steam profile ↗✓ No bans

1,295Tracked matches60%Win rate2020Tracked since
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating22,537Top 25% of 212,133 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)
CSDB Leaderboard#49385 of 259060 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,537 +1,830 22 Jul – 28 Oct · 39 days played
20,70724,441peak 24,44122 Jul28 Oct
Faceit ELO: 1,270 +0 29 Aug – 19 Sept · 6 observations
1,2701,270peak 1,27029 Aug19 Sept
24,528Peak Premier in tracked matches
1,270Highest Faceit ELO seen on CSDB
43Days played since 2026-07-17

Premier CS Rating

  • 1,904 below peak (24,441)
  • -887 over 30 days · declining
  • +1,084 over 90 days
  • Next: Red band at 25,000 — 2,463 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-29
  • Purple band first seen 2026-08-29

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.

Share this profile

CSDB.GGDaxFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER22,537 · Pink bandPEAK ELO1,270csdb.gg/stats

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Performance scores

Aim60
Positioning51
Utility50

0–100 skill scores via Leetify.

Recent form

HOT58–41–1Last 10058%Win rateWWWWWWWLLW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · +1.8pp headshot accuracy · +2ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 541ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 538ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 537ms

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).

Aim6.0
Utility5.0
Positioning5.1
Opening Duels1.8
Clutch2.8

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 86% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Counter-strafing. Only 67% 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

Aim6.0
Positioning5.1
Utility5.0
Mechanics3.8
Opening Duels2.2
Win Impact8.3

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time546ms−42ms
first ⅓ avg 588ms → last ⅓ avg 546ms
Headshot accuracy16.7%+0.8%
first ⅓ avg 15.9% → last ⅓ avg 16.7%

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

0.11Best match rating · 13–6 · nuke, 14 Aug →
54%Best headshot accuracy · 2–13 · dust2, 25 Aug →
344msFastest reaction time · 7–13 · ancient, 12 Aug →
13–1Biggest win · inferno, 21 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W7Current streak
8–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 82% over 11mirageWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
ancientB2513–1252%-0.01
nukeA1710–759%-0.02
anubisA169–756%-0.01
dust2B158–753%-0.02
infernoS119–282%-0.01
cacheS96–367%-0.01
mirageC73–443%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (43% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

312Matches
53%Win rate
1.03Avg K/D
76.8ADR
43%Headshot %

Clutches & streaks

34%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage4643%1.0015.0
Anubis4166%1.1515.5
Ancient3743%0.9815.3
Nuke3583%1.1016.3
Vertigo2060%0.9814.4
Inferno2050%0.9513.8
Dust21735%0.8613.2
Overpass650%0.8512.0

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.

15.1%Headshot accuracy
33.3%Accuracy (enemy spotted)
37.7%Spray accuracy
67.2%Counter-strafing
9.7°Preaim
537msReaction time
37.3%T opening success
40.6%CT opening success
0.56Enemies flashed / flash
3.2%Flash assists
7.11HE damage / grenade
9.47Flashes / 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

    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 37.3101% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–6-0.0411%28 Oct →
ancient16–130.0114%26 Oct →
nuke13–100.0217%26 Oct →
dust213–50.0117%7 Oct →
mirage13–60.0321%7 Oct →
ancient13–11-0.0122%5 Oct →
nuke13–100.0010%5 Oct →
dust26–13-0.0519%5 Oct →
dust28–13-0.058%30 Sept →
dust213–40.0023%30 Sept →
dust22–13-0.0910%30 Sept →
cache16–13-0.0315%27 Sept →
nuke13–70.0121%27 Sept →
anubis13–80.0117%23 Sept →
ancient13–30.1022%23 Sept →
mirage12–16-0.0611%17 Sept →
ancient4–13-0.0513%14 Sept →
anubis3–13-0.0319%14 Sept →
ancient13–10-0.0414%14 Sept →
mirage10–13-0.052%13 Sept →
nuke13–5-0.048%13 Sept →
ancient5–13-0.0417%13 Sept →
ancient13–60.0423%8 Sept →
dust214–16-0.0323%7 Sept →
ancient13–100.0325%7 Sept →
dust213–50.0410%1 Sept →
mirage11–13-0.077%1 Sept →
anubis13–11-0.0316%31 Aug →
inferno11–13-0.078%28 Aug →
nuke6–13-0.0512%28 Aug →
ancient9–13-0.0432%25 Aug →
anubis4–13-0.049%25 Aug →
dust22–13-0.0754%25 Aug →
anubis6–13-0.0127%24 Aug →
dust213–8-0.0122%23 Aug →
ancient9–13-0.0812%22 Aug →
anubis13–90.0515%22 Aug →
ancient13–16-0.0511%22 Aug →
inferno13–10.0213%21 Aug →
anubis15–15-0.0117%21 Aug →
nuke13–4-0.0316%21 Aug →
dust213–10-0.0317%19 Aug →
anubis13–50.0122%19 Aug →
inferno7–6-0.0618%17 Aug →
anubis13–11-0.003%17 Aug →
inferno9–40.027%17 Aug →
ancient10–130.0324%15 Aug →
inferno13–6-0.0117%15 Aug →
nuke13–60.1118%14 Aug →
inferno13–30.0513%14 Aug →
nuke10–13-0.0221%14 Aug →
anubis13–6-0.0515%13 Aug →
dust213–8-0.0217%13 Aug →
cache13–60.0212%12 Aug →
dust213–30.0311%12 Aug →
ancient7–13-0.039%12 Aug →
ancient8–130.0017%10 Aug →
anubis7–130.0721%10 Aug →
ancient3–13-0.0615%7 Aug →
nuke10–13-0.0316%7 Aug →
anubis13–9-0.0318%6 Aug →
ancient13–11-0.0010%6 Aug →
anubis3–13-0.099%4 Aug →
inferno6–13-0.0716%4 Aug →
cache13–80.0111%3 Aug →
ancient16–14-0.0210%3 Aug →
nuke6–13-0.0415%1 Aug →
inferno13–10.016%1 Aug →
nuke8–13-0.055%1 Aug →
nuke13–100.0120%31 Jul →
cache16–14-0.0516%30 Jul →
cache11–130.0312%30 Jul →
nuke13–70.0518%30 Jul →
anubis13–60.0314%29 Jul →
ancient4–13-0.0911%29 Jul →
inferno13–100.0412%27 Jul →
ancient10–13-0.0311%27 Jul →
inferno13–7-0.0533%27 Jul →
anubis11–13-0.049%27 Jul →
inferno13–70.0320%26 Jul →
cache10–13-0.0222%26 Jul →
nuke13–8-0.0415%25 Jul →
mirage8–13-0.0315%25 Jul →
ancient6–13-0.0815%25 Jul →
ancient13–50.0620%25 Jul →
nuke4–13-0.0825%24 Jul →
mirage13–70.0311%24 Jul →
dust28–13-0.0214%24 Jul →
dust213–70.0316%22 Jul →
cache9–13-0.0413%22 Jul →
ancient13–70.0210%22 Jul →
cache13–6-0.0219%21 Jul →
ancient13–110.0419%21 Jul →
nuke14–16-0.0613%21 Jul →
cache13–10-0.018%20 Jul →
dust214–160.0223%20 Jul →
ancient13–8-0.0123%17 Jul →
ancient13–60.0023%17 Jul →
anubis13–40.0215%17 Jul →
mirage13–70.0317%17 Jul →

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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