. — CS2 Stats

76561198044355289[U:1:84089561]

898Tracked matches37%Win rate2021Tracked since
CSDB Rating4.4 DevelopingPassive Rifler
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

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CSDB.GG.FACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim67
Positioning31
Utility28

0–100 skill scores via Leetify.

Recent form

COLD46486Last 10046%Win rateLLLLLWLLWL

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.7
Aggression2.6
Utility2.8
Positioning3.1
Opening Duels0.0
Clutch0.0

Limited utility dependence

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: opening-duel success, opening-fight frequency.

Where you differ: lower positioning profile; lower utility contribution.

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

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 635ms 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

Aim6.7
Positioning3.1
Utility2.8
Mechanics8.0
Opening Duels0.4
Win Impact0.6

Composite 4.4/10 (Developing), 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-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time661ms−47ms
first ⅓ avg 708ms → last ⅓ avg 661ms
Headshot accuracy16.2%+1.1%
first ⅓ avg 15.1% → last ⅓ avg 16.2%

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

0.24Best rating — poseidon 9–1
131Biggest win — overpass
10Longest win streak
L5Current streak
73In matches decided by ≤2 rounds
4Overtime games

Map breakdown

vertigoBest map · 64% over 11infernoWeakest map · 33% over 24
MapGradePlayedRecordWin rateAvg rating
infernoD2481633%-0.04
anubisB189950%-0.02
ancientA1610663%-0.03
overpassD124833%-0.01
vertigoA117464%-0.04
dust241325%-0.04
poseidon43175%0.11
nuke31233%-0.02
cache3030%-0.04
mirage32167%-0.02
sanctum21150%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

90Matches
46%Win rate
0.84Avg K/D
70.8ADR
47%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo1861%1.0214.8
Ancient1765%1.0813.5
Inferno1242%0.8412.4
Anubis1136%0.8512.3
Nuke650%0.6212.2
Dust240%0.5711.3
Mirage475%0.8812.3

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.

15.9%Headshot accuracy
36.3%Accuracy (enemy spotted)
38.1%Spray accuracy
85.8%Counter-strafing
11.1°Preaim
635msReaction time
21.3%T opening success
33.2%CT opening success
0.37Enemies flashed / flash
5.0%Flash assists
7.43HE damage / grenade
3.35Flashes / 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 0.3715 — below the 0.5 mark we flag

    Grenade Lineups
  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 21.289% — 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 24 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis7–13-0.0719%29 Aug
nuke7–13-0.086%29 Aug
cache9–13-0.0617%27 Aug
inferno5–13-0.0342%27 Aug
inferno4–13-0.0915%26 Aug
inferno13–11-0.0312%26 Aug
ancient4–13-0.073%24 Aug
inferno7–13-0.087%24 Aug
anubis13–80.0318%24 Aug
dust20–13-0.1133%16 Aug
ancient13–7-0.0216%15 Aug
overpass4–13-0.0618%15 Aug
anubis13–7-0.0410%15 Aug
anubis11–13-0.0517%15 Aug
overpass6–13-0.0433%15 Aug
anubis8–13-0.0316%13 Aug
ancient13–100.0017%13 Aug
vertigo13–9-0.0317%10 Aug
anubis4–13-0.0618%10 Aug
ancient8–50.0135%10 Aug
mirage2–13-0.075%8 Aug
mirage13–40.0117%8 Aug
ancient7–1-0.080%8 Aug
cache10–13-0.0416%8 Aug
overpass13–1-0.0418%6 Aug
vertigo5–13-0.0517%6 Aug
anubis6–130.0011%5 Aug
ancient13–7-0.0510%5 Aug
inferno6–13-0.016%4 Aug
ancient3–9-0.038%4 Aug
cache15–15-0.0316%1 Aug
inferno16–14-0.0118%1 Aug
anubis4–13-0.0722%30 Jul
vertigo13–110.0114%30 Jul
inferno7–13-0.0414%30 Jul
inferno12–12-0.0127%29 Jul
ancient13–10-0.0317%29 Jul
vertigo13–50.0412%29 Jul
inferno13–11-0.0522%27 Jul
vertigo13–70.0313%22 Jul
anubis13–10-0.0116%22 Jul
vertigo13–3-0.050%20 Jul
ancient13–9-0.0513%20 Jul
anubis13–11-0.0314%20 Jul
mirage13–3-0.0012%20 May
anubis13–7-0.0320%9 May
overpass6–13-0.0317%18 Apr
inferno3–13-0.0332%28 Mar
inferno13–10-0.0314%23 Mar
inferno13–2-0.0813%23 Mar
dust213–70.0416%22 Mar
overpass5–13-0.049%22 Mar
overpass13–10-0.039%22 Mar
inferno15–15-0.1011%21 Mar
overpass13–20.0017%21 Mar
inferno13–9-0.0329%9 Mar
inferno8–13-0.0919%22 Feb
nuke13–50.0220%22 Feb
anubis13–100.0414%20 Feb
dust26–13-0.0617%20 Feb
overpass6–90.0212%15 Feb
vertigo9–30.047%15 Feb
inferno4–9-0.138%15 Feb
nuke4–90.0118%15 Feb
sanctum9–10.1518%15 Feb
poseidon8–80.099%15 Feb
poseidon9–10.249%14 Feb
vertigo4–9-0.2113%14 Feb
inferno9–6-0.0117%14 Feb
overpass13–70.0719%7 Feb
dust211–13-0.047%7 Feb
vertigo3–9-0.1410%6 Feb
inferno5–9-0.0310%6 Feb
ancient13–80.0219%3 Feb
ancient7–13-0.0531%3 Feb
inferno6–9-0.0224%2 Feb
overpass9–130.0316%1 Feb
inferno8–13-0.0014%1 Feb
anubis16–13-0.029%30 Jan
ancient5–13-0.0520%30 Jan
inferno10–13-0.0113%28 Jan
ancient13–110.0119%28 Jan
overpass5–13-0.0515%28 Jan
inferno5–9-0.0721%27 Jan
poseidon9–60.089%27 Jan
sanctum8–8-0.003%26 Jan
poseidon9–20.0621%25 Jan
anubis13–30.0113%25 Jan
ancient13–40.0115%25 Jan
inferno13–110.0117%24 Jan
overpass10–130.0224%24 Jan
ancient2–13-0.1113%23 Jan
anubis13–40.0116%23 Jan
anubis7–13-0.0428%18 Jan
inferno3–13-0.0913%18 Jan
vertigo12–12-0.0313%17 Jan
vertigo13–6-0.028%13 Jan
ancient4–13-0.0312%13 Jan
anubis5–13-0.078%13 Jan
anubis11–13-0.0111%12 Jan

Match data via Leetify.

Recent teammates

Milestones

500 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →