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Smooth — CS2 Stats

76561198067290962[U:1:107025234]

5,205Tracked matches67%Win rate2020Tracked since
CSDB Rating5.6 SolidPassive Rifler
Premier CS Rating18,758Purple band · top ~13.4% of ranked players (population est.)
CSDB Leaderboard#3451 of 6684 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGSmoothPREMIER18,758 · Purple bandcsdb.gg/stats

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Performance scores

Aim65
Positioning41
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateWWLWLWWWLL

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

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim6.5
Aggression2.8
Utility6.1
Positioning4.1
Opening Duels0.0
Clutch3.6

Strong CT-side opener

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: 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

T-side openings. Opening success drops from 36% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 586ms 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

Aim6.5
Positioning4.1
Utility6.1
Mechanics5.7
Opening Duels0.7
Win Impact10.0

Composite 5.6/10 (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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time591ms−42ms
first ⅓ avg 633ms → last ⅓ avg 591ms
Headshot accuracy16.5%+0.8%
first ⅓ avg 15.7% → 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

0.17Best rating — inferno 13–4
13–2Biggest win — nuke
4Longest win streak
W2Current streak
9–3In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 71% over 21mirageWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
nukeA2313–1057%-0.02
infernoS2115–671%0.00
anubisS1611–569%-0.01
ancientD155–1033%-0.00
cacheD113–827%-0.01
mirageD50–50%-0.03
dust2—41–325%-0.04
overpass—20–20%-0.07
debris—10–10%-0.07
vertigo—11–0100%0.09
poseidon—10–10%-0.10

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

712Matches
50%Win rate
0.93Avg K/D
75.3ADR
36%Headshot %

Clutches & streaks

38%1v1 clutch win
17%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis16162%0.9513.3
Nuke13154%1.0014.7
Ancient9043%0.9013.8
Inferno8533%0.8313.0
Vertigo5542%1.0114.8
Mirage2726%0.8312.9
Train1861%0.9815.9
Overpass944%0.7611.9

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
34.6%Accuracy (enemy spotted)
36.9%Spray accuracy
75.6%Counter-strafing
9.5°Preaim
586msReaction time
20.7%T opening success
35.9%CT opening success
0.62Enemies flashed / flash
8.4%Flash assists
10.81HE damage / grenade
6.49Flashes / 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 20.7338% — 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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–9-0.079%28 Aug →
nuke13–6-0.0318%28 Aug →
inferno11–13-0.0017%28 Aug →
inferno13–110.0226%27 Aug →
dust23–13-0.0625%27 Aug →
nuke13–11-0.0213%26 Aug →
ancient13–6-0.0916%26 Aug →
anubis13–50.0430%26 Aug →
anubis13–16-0.0317%26 Aug →
ancient9–13-0.0514%25 Aug →
ancient13–10-0.0217%25 Aug →
cache10–13-0.0025%25 Aug →
ancient13–50.1216%25 Aug →
nuke13–5-0.0222%25 Aug →
anubis13–7-0.0715%25 Aug →
inferno16–120.0314%24 Aug →
nuke9–130.029%24 Aug →
nuke8–13-0.0612%24 Aug →
cache13–40.0514%24 Aug →
nuke13–10-0.0215%23 Aug →
inferno13–100.0022%23 Aug →
anubis13–70.0319%23 Aug →
mirage5–13-0.098%23 Aug →
inferno13–40.1732%22 Aug →
dust213–3-0.0518%21 Aug →
inferno13–40.0111%21 Aug →
ancient9–13-0.0521%20 Aug →
anubis13–7-0.004%20 Aug →
nuke13–16-0.067%19 Aug →
nuke13–2-0.0014%19 Aug →
anubis22–200.0316%18 Aug →
dust212–16-0.0318%17 Aug →
inferno5–130.0212%17 Aug →
ancient16–130.0216%17 Aug →
anubis13–100.0414%17 Aug →
inferno13–9-0.0321%17 Aug →
ancient9–13-0.0718%17 Aug →
ancient9–13-0.0417%16 Aug →
inferno13–100.0321%16 Aug →
nuke13–50.0515%16 Aug →
nuke13–90.0523%15 Aug →
ancient8–13-0.0216%14 Aug →
cache13–80.0413%14 Aug →
debris5–9-0.0726%14 Aug →
dust26–13-0.0411%13 Aug →
anubis10–13-0.0418%13 Aug →
inferno4–9-0.0926%12 Aug →
inferno6–9-0.134%12 Aug →
inferno9–50.0118%12 Aug →
cache9–13-0.022%8 Aug →
anubis13–60.0322%8 Aug →
inferno8–80.0523%8 Aug →
nuke10–13-0.0312%7 Aug →
anubis8–13-0.047%7 Aug →
cache0–13-0.0725%7 Aug →
nuke14–16-0.0110%7 Aug →
ancient10–13-0.0013%7 Aug →
mirage5–13-0.0311%6 Aug →
inferno16–140.0113%6 Aug →
ancient3–13-0.0115%6 Aug →
ancient13–70.0319%6 Aug →
cache10–130.0521%6 Aug →
nuke8–13-0.0211%6 Aug →
nuke10–13-0.0829%5 Aug →
mirage7–130.0610%5 Aug →
inferno9–4-0.0122%4 Aug →
inferno9–20.0729%4 Aug →
nuke8–80.0315%4 Aug →
vertigo9–30.0940%4 Aug →
inferno9–20.059%4 Aug →
inferno9–7-0.0313%4 Aug →
nuke16–140.0011%4 Aug →
ancient10–130.0510%2 Aug →
anubis13–11-0.0212%2 Aug →
nuke4–13-0.0114%2 Aug →
inferno13–10-0.0215%2 Aug →
anubis13–7-0.0215%2 Aug →
nuke13–11-0.0325%2 Aug →
ancient9–13-0.0127%2 Aug →
overpass7–13-0.0910%2 Aug →
nuke5–2-0.018%2 Aug →
overpass7–13-0.0523%2 Aug →
nuke7–13-0.0211%1 Aug →
cache13–8-0.0215%31 Jul →
mirage6–13-0.0513%31 Jul →
anubis12–12-0.0615%31 Jul →
poseidon8–8-0.1017%31 Jul →
mirage9–13-0.0516%31 Jul →
cache10–13-0.0233%31 Jul →
nuke13–80.0326%31 Jul →
cache5–13-0.0423%30 Jul →
inferno4–10.0113%30 Jul →
ancient8–130.0919%30 Jul →
anubis11–13-0.0515%28 Jul →
cache6–13-0.017%28 Jul →
anubis13–7-0.0517%28 Jul →
nuke16–14-0.0516%28 Jul →
inferno5–13-0.083%27 Jul →
cache3–13-0.060%27 Jul →
anubis13–7-0.0114%27 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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