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the dazzler — CS2 Stats

76561198093509543[U:1:133243815]✓ No bans

525Tracked matches67%Win rate2024Tracked since
CSDB Rating4.8 DevelopingClutch Specialist
FaceitLevel 4 · 1,008 ELOTop 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

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CSDB.GGthe dazzlerFACEITLevel 4 · 1,008 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim43
Positioning46
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY45–49–6Last 10045%Win rateLWTLWWWLWT

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

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim4.3
Aggression3.8
Utility5.4
Positioning4.6
Opening Duels1.2
Clutch10.0

Strong CT-side openerReliable in 1v1s

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 82% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

T-side openings. Opening success drops from 43% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 723ms 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

Aim4.3
Positioning4.6
Utility5.4
Mechanics7.7
Opening Duels1.6
Win Impact10.0

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time721ms−4ms
first ⅓ avg 725ms → last ⅓ avg 721ms
Headshot accuracy16.5%−3.3%
first ⅓ avg 19.8% → last ⅓ avg 16.5%

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

0.15Best rating — nuke 5–1
13–0Biggest win — inferno
5Longest win streak
11–9In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 62% over 26ancientWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
cacheA2616–1062%-0.02
mirageB209–1145%-0.02
ancientC166–1038%-0.03
infernoB147–750%-0.03
anubisC94–544%-0.03
nuke—40–40%0.00
dust2—41–325%-0.03
train—31–233%-0.01
office—20–20%-0.06
overpass—11–0100%-0.02
vertigo—10–10%0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

25Matches
52%Win rate
1.04Avg K/D
48.4ADR
34%Headshot %

Clutches & streaks

100%1v1 clutch win
22%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage450%0.617.8
Anubis367%0.9311.3
Nuke1100%0.569.0
Inferno1100%0.386.0

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.

16.4%Headshot accuracy
29.8%Accuracy (enemy spotted)
35.5%Spray accuracy
84.6%Counter-strafing
11.7°Preaim
723msReaction time
26.2%T opening success
43.2%CT opening success
0.48Enemies flashed / flash
7.4%Flash assists
9.55HE damage / grenade
10.13Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 722.8555ms — above the 700ms mark we flag

    Aim Training →
  2. 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 0.4798 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 26.1637% — below the 40% mark we flag

Spend your practice time on Ancient

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

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–130.0221%4 Aug →
cache13–90.0910%4 Aug →
inferno12–12-0.1014%25 Jul →
anubis10–13-0.077%25 Jul →
anubis13–60.0213%22 Jul →
inferno13–7-0.009%20 Jul →
cache13–110.0020%19 Jul →
ancient11–13-0.0410%2 Jul →
anubis13–8-0.0111%29 Jun →
mirage12–12-0.0211%27 Jun →
anubis13–8-0.0323%27 Jun →
mirage9–13-0.0413%27 Jun →
cache13–70.0725%27 Jun →
inferno1–13-0.0936%27 Jun →
inferno13–7-0.0222%25 Jun →
ancient8–13-0.0514%20 Jun →
cache4–13-0.0712%18 Jun →
ancient13–8-0.069%18 Jun →
train13–8-0.0116%17 Jun →
cache13–9-0.0030%16 Jun →
mirage8–13-0.0017%16 Jun →
cache13–11-0.0119%7 Jun →
cache13–40.0445%6 Jun →
cache13–9-0.068%30 May →
cache13–5-0.0410%27 May →
mirage6–3-0.0721%27 May →
ancient7–13-0.0515%27 May →
ancient13–11-0.048%27 May →
inferno12–12-0.0814%26 May →
cache13–10-0.0324%24 May →
mirage13–7-0.045%24 May →
train4–130.0220%24 May →
ancient11–13-0.0313%23 May →
inferno11–13-0.0413%23 May →
cache13–3-0.0212%23 May →
nuke7–13-0.0630%22 May →
cache6–13-0.0313%22 May →
mirage0–5-0.090%22 May →
overpass13–9-0.0217%22 May →
office11–13-0.115%13 May →
cache8–13-0.0214%13 May →
cache8–13-0.075%8 May →
cache13–90.0314%8 May →
cache13–5-0.0317%8 May →
cache9–13-0.0117%8 May →
cache11–130.0319%7 May →
cache13–8-0.118%7 May →
cache13–10-0.0224%7 May →
cache13–11-0.0012%6 May →
anubis13–40.0315%3 May →
cache13–110.0121%3 May →
dust25–130.0014%2 May →
ancient15–150.0518%2 May →
inferno1–13-0.0925%2 May →
cache9–13-0.019%2 May →
nuke7–13-0.0024%2 May →
inferno1–1-0.100%2 May →
ancient13–20.0415%2 May →
inferno16–140.0216%2 May →
cache4–13-0.0215%2 May →
cache11–13-0.0816%2 May →
cache6–13-0.127%29 Apr →
nuke5–13-0.0829%13 Apr →
train5–13-0.0519%13 Apr →
ancient13–7-0.0210%4 Apr →
mirage13–160.0016%4 Apr →
mirage10–13-0.0710%27 Feb →
anubis11–13-0.049%27 Feb →
ancient10–13-0.0615%25 Feb →
inferno6–13-0.0212%25 Feb →
ancient14–16-0.0310%7 Feb →
dust28–13-0.0315%6 Feb →
inferno13–6-0.0022%6 Feb →
nuke5–10.1589%6 Feb →
inferno13–00.0475%6 Feb →
mirage13–11-0.0014%6 Feb →
anubis8–13-0.0212%29 Jan →
ancient13–7-0.0216%29 Jan →
anubis11–13-0.056%26 Jan →
ancient13–10.0617%26 Jan →
vertigo12–120.0813%26 Jan →
mirage13–70.029%26 Jan →
mirage13–100.0116%19 Jan →
office10–13-0.0115%19 Jan →
inferno13–90.0720%18 Jan →
ancient12–12-0.0413%18 Jan →
mirage13–11-0.0321%18 Jan →
mirage1–90.006%17 Jan →
mirage13–20.0125%17 Jan →
mirage13–5-0.0322%15 Jan →
ancient5–13-0.083%15 Jan →
inferno6–13-0.0415%15 Jan →
dust26–13-0.0322%15 Jan →
anubis4–13-0.0620%14 Jan →
mirage9–130.0418%14 Jan →
mirage10–13-0.0238%14 Jan →
mirage8–13-0.0617%14 Jan →
dust213–11-0.0521%13 Jan →
mirage13–11-0.0719%13 Jan →
ancient2–13-0.0310%13 Jan →

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 →

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