Smash ☰

Smash ☰ — CS2 Stats

76561199475021944[U:1:1514756216]Steam profile ↗✓ No bans

868Tracked matches38%Win rate2023Tracked since
1,032Hours in CS1Hrs last 2 wks
CSDB Rating5.6 SolidPositional Player
Ladder ranks via Leetify

Performance scores

Aim76
Positioning58
Utility54

0–100 skill scores via Leetify.

Recent form

COLD45–52–3Last 10045%Win rateLLLWTLLWLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −1.6pp headshot accuracy · −181ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 16%
  • Avg reaction 467ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 490ms

Last 20

  • 5–14–1 · 25% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 580ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.8 against its own average).

Aim7.6
Utility5.4
Positioning5.8
Opening Duels0.7
Clutch0.0

Effective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

iM

Plays most like iM 86% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 0.83 enemies blinded per flash — utility that consistently lands.

Areas to improve

CT openings. Opening success drops from 53% on T to 33% on CT — first contacts on the defending side are being lost.

Reaction time. 584ms 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

Aim7.6
Positioning5.8
Utility5.4
Mechanics6.2
Opening Duels3.3
Win Impact1.0

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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time586ms−96ms
first ⅓ avg 682ms → last ⅓ avg 586ms
Headshot accuracy17.1%+4.2%
first ⅓ avg 12.8% → last ⅓ avg 17.1%

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.

Personal bests

0.09Best match rating · 13–7 · dust2, 11 Sept →
37%Best headshot accuracy · 13–9 · dust2, 10 Sept →
328msFastest reaction time · 9–13 · ancient, 26 Jul →
13–2Biggest win · mirage, 9 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
9–10In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 51% over 47ancientWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B4724–2351%-0.02
mirageC2811–1739%-0.01
ancientD123–925%-0.02
anubis—42–250%-0.01
nuke—32–167%0.01
cache—32–167%0.04
overpass—31–233%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,289Lifetime kills
0.90K/D
1,270Matches
45.9%Match win rate
44.7%Headshot %
1.7%Shot accuracy
2,317MVPs
502Hours (in match)
1,214Bombs planted
224Bombs defused

Most-used weapons

Lifetime map wins

5,872dust2
671inferno
624vertigo
396nuke
85train
1italy
1office
1ar_baggage

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

Faceit stats

Combat

2Matches
0%Win rate
0.34Avg K/D
49.1ADR
57%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis10%0.447.0
Mirage10%0.233.0

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.

17.4%Headshot accuracy
36.3%Accuracy (enemy spotted)
36.1%Spray accuracy
77.9%Counter-strafing
7.4°Preaim
584msReaction time
52.7%T opening success
33.4%CT opening success
0.83Enemies flashed / flash
9.9%Flash assists
8.33HE damage / grenade
5.55Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 33.4332% — 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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.095%13 Nov →
nuke6–13-0.0515%1 Nov →
mirage4–13-0.0714%22 Sept →
anubis8–5-0.0817%22 Sept →
mirage15–15-0.0030%22 Sept →
dust22–13-0.0817%22 Sept →
mirage11–13-0.0217%21 Sept →
dust213–90.0116%21 Sept →
mirage13–16-0.0713%17 Sept →
anubis11–130.009%16 Sept →
mirage10–130.0120%14 Sept →
dust23–13-0.0423%13 Sept →
dust213–11-0.039%12 Sept →
dust22–13-0.0717%12 Sept →
mirage6–13-0.0712%12 Sept →
dust210–13-0.0224%12 Sept →
mirage13–9-0.118%11 Sept →
dust210–13-0.0522%11 Sept →
dust213–70.0924%11 Sept →
dust26–13-0.0411%11 Sept →
mirage10–130.049%11 Sept →
dust213–9-0.0137%10 Sept →
ancient13–11-0.0126%10 Sept →
dust213–6-0.0016%10 Sept →
ancient8–13-0.0313%9 Sept →
dust216–12-0.0423%9 Sept →
mirage13–50.0319%28 Aug →
mirage11–13-0.0618%24 Aug →
cache13–70.0418%22 Aug →
dust25–13-0.0911%18 Aug →
mirage12–12-0.0615%18 Aug →
dust213–3-0.0318%18 Aug →
dust213–4-0.0417%18 Aug →
dust213–90.0318%17 Aug →
dust213–90.0328%17 Aug →
anubis13–90.0616%17 Aug →
dust213–60.0018%17 Aug →
ancient9–13-0.0512%16 Aug →
dust211–13-0.026%14 Aug →
dust29–13-0.0712%8 Aug →
ancient11–13-0.0110%26 Jul →
ancient9–13-0.0111%26 Jul →
dust210–13-0.0016%26 Jul →
mirage16–140.0519%26 Jul →
nuke13–60.0218%25 Jul →
dust211–13-0.0219%25 Jul →
cache11–130.0313%25 Jul →
dust22–13-0.0611%25 Jul →
dust213–8-0.0314%25 Jul →
mirage13–11-0.027%23 Jul →
cache13–100.0410%23 Jul →
ancient9–13-0.034%23 Jul →
dust213–6-0.047%23 Jul →
dust213–8-0.0225%21 Jul →
dust213–5-0.0121%21 Jul →
dust213–8-0.016%21 Jul →
nuke16–140.077%21 Jul →
mirage13–60.0118%21 Jul →
ancient5–13-0.0415%19 Jul →
mirage16–140.0211%19 Jul →
dust28–13-0.0111%18 Jul →
mirage13–50.0317%18 Jul →
ancient13–70.0211%18 Jul →
anubis12–16-0.048%18 Jul →
mirage10–13-0.0212%17 Jul →
dust213–60.0714%17 Jul →
ancient8–13-0.0410%15 Jul →
dust26–13-0.0022%15 Jul →
dust25–13-0.074%14 Jul →
mirage14–160.0110%14 Jul →
mirage5–130.0214%14 Jul →
dust213–11-0.0215%13 Jul →
mirage7–13-0.0016%9 Jul →
mirage13–20.012%9 Jul →
dust23–130.0113%9 Jul →
dust213–8-0.059%9 Jul →
mirage6–13-0.066%29 Apr →
ancient6–13-0.1016%29 Apr →
mirage7–13-0.0317%28 Apr →
dust215–15-0.0119%28 Apr →
dust28–13-0.067%22 Apr →
overpass4–13-0.055%22 Apr →
dust25–13-0.029%21 Apr →
dust211–130.0015%21 Apr →
dust213–90.0511%20 Apr →
dust213–9-0.0616%20 Apr →
dust213–5-0.039%20 Apr →
dust28–13-0.0510%17 Apr →
ancient13–80.0515%17 Apr →
dust213–5-0.008%14 Apr →
mirage13–100.0617%13 Apr →
overpass13–11-0.0116%11 Apr →
dust29–13-0.0414%7 Apr →
dust213–8-0.0515%7 Apr →
dust24–13-0.0523%7 Apr →
mirage16–140.0619%26 Mar →
ancient14–160.0217%24 Mar →
overpass8–13-0.017%24 Mar →
mirage13–60.0111%24 Mar →
mirage7–13-0.0015%17 Mar →

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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