s1mpulse — CS2 Stats

76561199125813005[U:1:1165547277]

493Tracked matches33%Win rate2023Tracked since
964Hours in CS15Hrs last 2 wks
CSDB Rating2.9 Learning
FaceitLevel 3 · 862 ELOTop 90.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

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CSDB.GGs1mpulseFACEITLevel 3 · 862 ELOSTANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim38
Positioning40
Utility22

0–100 skill scores via Leetify.

Recent form

COLD37558Last 10037%Win rateLWLLTLLLLT

Last 10 vs previous 10: -50pp win rate · +0.01 avg rating

Player DNA

Aim3.8
Aggression4.8
Utility2.2
Positioning4.0
Opening Duels0.5
Clutch4.0

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 74% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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

Reaction time. 620ms 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

Aim3.8
Positioning4.0
Utility2.2
Mechanics5.7
Opening Duels0.6
Win Impact0.0

Composite 2.9/10 (Learning), 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-0.03−0.04
first ⅓ avg 0.00 → last ⅓ avg -0.03
Reaction time633ms−28ms
first ⅓ avg 660ms → last ⅓ avg 633ms
Headshot accuracy16.4%−0.4%
first ⅓ avg 16.8% → last ⅓ avg 16.4%

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

0.16Best rating — inferno 8–8
130Biggest win — cache
5Longest win streak
63In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 70% over 10mirageWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
cacheD1851328%-0.01
nukeB168850%-0.02
infernoC156940%-0.01
dust2D123925%-0.03
mirageD112918%-0.02
ancientS107370%-0.00
overpassD82625%-0.02
anubisD72529%-0.01
office21150%-0.06
debris110100%0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,447Lifetime kills
1.34K/D · Top 10% of tracked players
986Matches
37.6%Match win rate
53.1%Headshot % · Top 25% of tracked players
0.0%Shot accuracy
1,877MVPs
503Hours (in match)
731Bombs planted
369Bombs defused

Most-used weapons

Lifetime map wins

1,003inferno
930dust2
680nuke
455vertigo
45office
44train
15italy
14cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

21Matches
24%Win rate
0.56Avg K/D
56.6ADR
43%Headshot %

Clutches & streaks

40%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke714%0.579.4
Ancient617%0.558.3
Mirage540%0.559.0
Anubis20%0.527.5
Dust21100%0.6911.0

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.

14.9%Headshot accuracy
27.2%Accuracy (enemy spotted)
26.3%Spray accuracy
75.8%Counter-strafing
10.1°Preaim
620msReaction time
29.6%T opening success
34.8%CT opening success
0.26Enemies flashed / flash
1.0%Flash assists
3.03HE damage / grenade
4.30Flashes / 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 14.9267% — below the 15% 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 0.2551 — 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 29.5755% — 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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
cache8–13-0.027%27 Aug
ancient2–00.1150%27 Aug
mirage8–13-0.0819%26 Aug
cache10–13-0.0726%26 Aug
dust212–12-0.098%25 Aug
dust26–13-0.0511%25 Aug
mirage10–13-0.0416%25 Aug
ancient9–13-0.0315%25 Aug
ancient8–13-0.0617%25 Aug
inferno12–12-0.0412%22 Aug
nuke13–70.0221%22 Aug
cache1–13-0.100%22 Aug
nuke8–8-0.1520%22 Aug
inferno9–7-0.0017%22 Aug
nuke13–5-0.0119%22 Aug
debris9–30.0629%22 Aug
ancient13–4-0.0714%2 Aug
dust213–7-0.0428%2 Aug
inferno10–13-0.0711%30 Jul
nuke8–13-0.0811%27 Jul
anubis13–7-0.0326%27 Jul
nuke7–13-0.0326%22 Jul
anubis8–13-0.0513%22 Jul
dust212–12-0.0813%15 Jul
mirage7–13-0.0510%15 Jul
nuke7–13-0.0424%13 Jul
nuke13–7-0.0725%13 Jul
inferno8–13-0.0412%6 Jul
inferno13–40.035%6 Jul
mirage9–130.0213%6 Jul
inferno13–80.053%16 May
cache10–130.0113%16 May
overpass6–13-0.068%10 May
inferno6–13-0.0313%10 May
cache8–130.1319%9 May
cache6–130.0714%9 May
cache8–130.0317%6 May
cache3–130.0122%3 May
dust27–13-0.074%29 Apr
cache13–00.0218%29 Apr
cache4–13-0.083%29 Apr
cache13–11-0.086%29 Apr
cache6–13-0.0029%29 Apr
cache6–13-0.068%29 Apr
cache11–13-0.045%29 Apr
cache9–130.0618%29 Apr
cache13–9-0.047%29 Apr
cache13–10-0.0222%28 Apr
cache13–90.009%28 Apr
dust213–9-0.035%24 Apr
anubis9–13-0.0117%24 Apr
ancient13–10-0.0314%23 Apr
nuke13–20.0517%22 Apr
office10–13-0.0616%11 Apr
dust29–130.0213%10 Apr
nuke8–13-0.0516%8 Apr
overpass3–13-0.050%5 Apr
nuke13–3-0.0141%5 Apr
inferno13–11-0.1119%2 Apr
anubis3–13-0.0022%1 Apr
ancient13–30.1518%1 Apr
ancient13–2-0.0320%1 Apr
mirage2–13-0.066%1 Apr
mirage10–13-0.0115%30 Mar
mirage13–80.0614%30 Mar
dust24–13-0.144%29 Mar
dust29–13-0.0113%29 Mar
dust213–80.037%28 Mar
dust210–13-0.0313%28 Mar
mirage14–160.0717%25 Mar
mirage12–12-0.0612%23 Mar
nuke13–40.0221%23 Mar
overpass3–13-0.0414%23 Mar
anubis13–50.0716%23 Mar
inferno7–13-0.0020%23 Mar
anubis11–13-0.0112%20 Mar
overpass13–11-0.0413%20 Mar
nuke4–13-0.0121%19 Mar
overpass6–13-0.0116%19 Mar
nuke13–100.0211%19 Mar
inferno13–8-0.0420%19 Mar
mirage13–8-0.0419%19 Mar
overpass6–130.0524%19 Mar
nuke12–120.0022%18 Mar
ancient13–10-0.043%18 Mar
overpass10–13-0.0115%18 Mar
nuke1–9-0.1413%17 Mar
nuke13–20.1541%17 Mar
inferno6–13-0.0014%16 Mar
inferno8–80.1617%15 Mar
ancient6–13-0.015%12 Mar
anubis8–13-0.0214%12 Mar
office13–7-0.0618%12 Mar
overpass13–100.0417%11 Mar
inferno12–12-0.0318%11 Mar
ancient13–11-0.0116%11 Mar
dust28–130.1038%10 Mar
inferno13–6-0.0017%10 Mar
mirage7–130.0115%10 Mar
inferno6–13-0.0117%10 Mar

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →