˗ˏˋ✦ SmiLoDon ✦ˎˊ˗

˗ˏˋ✦ SmiLoDon ✦ˎˊ˗ — CS2 Stats

MY76561198011956706[U:1:51690978]Steam profile ↗✓ No bans

941Tracked matches46%Win rate2020Tracked since
CSDB Rating4.7 Developing
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG˗ˏˋ✦ SmiLoDon ✦ˎˊ˗FACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim54
Positioning42
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY48484Last 10048%Win rateLWLWLWWLLT

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

Player DNA

Aim5.4
Aggression3.6
Utility6.0
Positioning4.2
Opening Duels0.0

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 78% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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

Strengths

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 630ms 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

Aim5.4
Positioning4.2
Utility6.0
Mechanics6.0
Opening Duels0.4
Win Impact3.8

Composite 4.7/10 (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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time626ms−28ms
first ⅓ avg 654ms → last ⅓ avg 626ms
Headshot accuracy11.6%+1.5%
first ⅓ avg 10.1% → last ⅓ avg 11.6%

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

0.10Best rating — inferno 13–8
130Biggest win — dust2
6Longest win streak
93In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 57% over 37ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A37211657%-0.01
infernoA22121055%-0.01
mirageD1641225%-0.02
overpassD93633%-0.02
ancientD51420%-0.04
cache41325%0.01
nuke43175%0.00
train220100%-0.00
vertigo110100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

194Matches
51%Win rate
1.26Avg K/D
ADR
26%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLW

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.

11.7%Headshot accuracy
34.7%Accuracy (enemy spotted)
38.5%Spray accuracy
76.9%Counter-strafing
10.4°Preaim
630msReaction time
33.2%T opening success
20.4%CT opening success
0.77Enemies flashed / flash
5.0%Flash assists
12.45HE damage / grenade
9.84Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.6811% — below the 15% mark we flag

    Aim Training
  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 33.1503% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust22–130.019%30 Aug
mirage13–11-0.0123%30 Aug
inferno7–13-0.0113%22 Aug
dust213–50.047%21 Aug
dust27–13-0.068%21 Aug
inferno13–20.0713%25 Jul
inferno13–40.0014%25 Jul
cache9–13-0.0216%25 Jul
inferno4–13-0.0421%11 Jul
dust212–120.0214%11 Jul
dust27–13-0.027%10 Jul
dust213–10-0.0213%13 Jun
inferno16–14-0.0415%13 Jun
ancient7–13-0.0811%13 Jun
inferno13–9-0.0214%12 Jun
overpass7–13-0.054%12 Jun
cache13–20.0913%12 Jun
dust213–30.0218%12 Jun
dust212–12-0.038%4 Jun
overpass7–13-0.0411%4 Jun
dust26–13-0.0215%3 Jun
inferno13–11-0.088%3 Jun
mirage3–13-0.080%3 Jun
dust213–40.0614%29 May
cache6–130.009%23 May
mirage6–130.0415%23 May
dust213–30.0210%23 May
dust24–13-0.0714%22 May
cache8–13-0.0210%22 May
dust213–90.053%25 Apr
overpass7–13-0.0011%24 Apr
overpass13–9-0.039%24 Apr
mirage6–130.0114%24 Apr
dust28–13-0.016%17 Apr
inferno12–120.0216%17 Apr
overpass9–13-0.0821%10 Apr
nuke13–11-0.049%10 Apr
dust213–00.0529%10 Apr
inferno13–11-0.048%4 Apr
mirage4–13-0.076%4 Apr
dust27–13-0.073%4 Apr
inferno16–12-0.0210%3 Apr
ancient6–13-0.048%3 Apr
mirage13–30.0313%3 Apr
dust213–11-0.036%3 Apr
mirage13–80.0210%2 Apr
dust213–10.0322%2 Apr
inferno10–13-0.0120%28 Mar
dust26–13-0.0810%28 Mar
overpass13–90.0618%28 Mar
ancient5–13-0.0111%27 Mar
inferno13–16-0.079%27 Mar
dust213–10-0.039%22 Mar
overpass12–16-0.0210%22 Mar
dust25–13-0.040%22 Mar
dust213–10-0.0714%20 Mar
dust213–60.0111%20 Mar
inferno6–13-0.039%20 Mar
inferno13–8-0.037%20 Mar
dust210–13-0.0119%14 Mar
inferno8–130.000%14 Mar
mirage13–16-0.036%14 Mar
nuke9–130.044%13 Mar
mirage10–13-0.0214%13 Mar
overpass16–120.0411%13 Mar
dust213–9-0.026%7 Mar
inferno13–7-0.019%7 Mar
inferno13–6-0.046%7 Mar
dust213–70.028%6 Mar
dust213–80.0213%6 Mar
mirage5–13-0.057%6 Mar
dust213–70.0017%6 Mar
dust25–130.0116%28 Feb
mirage2–13-0.0510%28 Feb
inferno10–13-0.0318%28 Feb
inferno13–110.087%27 Feb
dust215–150.038%27 Feb
mirage11–13-0.028%20 Feb
dust213–8-0.009%20 Feb
mirage10–13-0.068%17 Feb
nuke13–90.0115%17 Feb
dust213–6-0.022%17 Feb
dust213–40.0720%14 Feb
nuke13–10-0.014%14 Feb
dust27–130.0815%14 Feb
inferno8–130.0415%6 Feb
dust29–13-0.0418%6 Feb
mirage13–40.0314%6 Feb
inferno7–13-0.034%6 Feb
ancient13–8-0.018%30 Jan
mirage5–13-0.043%30 Jan
dust213–11-0.047%30 Jan
dust213–7-0.0810%16 Jan
overpass8–13-0.037%3 Jan
vertigo13–110.0311%3 Jan
mirage11–13-0.0311%3 Jan
train13–80.017%3 Jan
ancient11–13-0.068%2 Jan
inferno13–80.109%2 Jan
train13–10-0.0110%1 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 →