smagarn

smagarn — CS2 Stats

76561198015692765[U:1:55427037]Steam profile ↗✓ No bans

1,288Tracked matches42%Win rate2023Tracked since
CSDB Rating3.5 LearningPositional Player
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (24 days ago). Ranks are recorded once per day this page is viewed.

+8Tracked matches · now 1,288
−2.5ppWin rate · 44.8% → 42.3%

Rating over time

Premier CS Rating: 13,706 +531 20 Apr – 4 Oct · 10 days played
11,56915,424peak 15,42420 Apr4 Oct
15,531Peak Premier in tracked matches
43Days played since 2026-04-19

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim46
Positioning36
Utility29

0–100 skill scores via Leetify.

Recent form

COLD45–47–8Last 10045%Win rateLLWTWTWTLT

Last 10 vs previous 10: 0pp win rate · +0.04 avg rating · −2.3pp headshot accuracy · −1ms reaction

Win rate 0pp 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 11%
  • Avg reaction 572ms

Last 10

  • 3–3–4 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 568ms

Last 20

  • 6–10–4 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 568ms

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 against its own average).

Aim4.6
Utility2.9
Positioning3.6
Opening Duels0.0
Clutch0.0

Strong CT-side openerLimited 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.

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 88% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Areas to improve

T-side openings. Opening success drops from 36% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 593ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.6
Positioning3.6
Utility2.9
Mechanics4.1
Opening Duels0.7
Win Impact2.4

Composite 3.5/10 (Learning), 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-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time603ms−71ms
first ⅓ avg 674ms → last ⅓ avg 603ms
Headshot accuracy11.6%+0.6%
first ⅓ avg 11.1% → 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.

Personal bests

0.10Best match rating · 13–2 · nuke, 28 Aug →
33%Best headshot accuracy · 9–3 · inferno, 10 Jun →
438msFastest reaction time · 9–13 · mirage, 10 Sept →
13–1Biggest win · dust2, 7 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
9–15In matches decided by ≤2 rounds
15Overtime games

Map breakdown

dust2Best map · 56% over 18infernoWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB2312–1152%-0.02
dust2A1810–856%-0.02
nukeB179–853%-0.01
infernoD133–1023%-0.02
anubisA116–555%-0.01
cacheC104–640%-0.04
ancient—40–40%-0.06
cache_b—31–233%-0.01
overpass—10–10%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2Matches
0%Win rate
0.75Avg K/D
77.6ADR
49%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage10%0.547.0
Ancient10%0.9622.0

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.

11.5%Headshot accuracy
36.2%Accuracy (enemy spotted)
38.7%Spray accuracy
68.7%Counter-strafing
12.7°Preaim
593msReaction time
20.1%T opening success
35.8%CT opening success
0.21Enemies flashed / flash
0.7%Flash assists
8.66HE damage / grenade
1.97Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.724° — above the 12° mark we flag

    Aim Training →
  2. 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 11.4909% — below the 15% mark we flag

    Aim Training →
  3. 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 0.2082 — below the 0.5 mark we flag

    Grenade Lineups →
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.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache10–13-0.0411%26 Oct →
dust28–13-0.0310%19 Oct →
mirage13–11-0.0216%19 Oct →
inferno12–120.0010%11 Oct →
mirage13–70.088%11 Oct →
mirage12–120.0011%10 Oct →
nuke13–110.029%9 Oct →
dust212–120.0311%9 Oct →
dust27–13-0.028%25 Sept →
inferno12–120.0318%25 Sept →
nuke12–30.0314%24 Sept →
inferno8–130.0016%24 Sept →
inferno3–10-0.0721%18 Sept →
cache5–13-0.106%18 Sept →
anubis13–110.0213%17 Sept →
nuke8–130.0011%17 Sept →
cache11–13-0.0612%10 Sept →
mirage13–8-0.0311%10 Sept →
mirage9–13-0.0823%10 Sept →
ancient14–16-0.065%10 Sept →
dust214–16-0.0513%3 Sept →
mirage7–13-0.0611%3 Sept →
cache13–16-0.0720%3 Sept →
inferno14–16-0.083%28 Aug →
anubis13–50.0411%28 Aug →
mirage13–80.014%28 Aug →
cache13–6-0.037%28 Aug →
ancient11–13-0.0419%28 Aug →
mirage13–10-0.055%28 Aug →
dust213–60.0010%28 Aug →
nuke13–20.1011%28 Aug →
dust213–4-0.0219%20 Aug →
nuke13–4-0.026%20 Aug →
inferno5–13-0.099%20 Aug →
mirage11–130.0115%17 Aug →
cache10–13-0.057%12 Aug →
mirage13–8-0.0713%11 Aug →
dust213–100.009%11 Aug →
anubis7–13-0.0612%11 Aug →
mirage13–8-0.0214%11 Aug →
nuke4–13-0.0412%10 Aug →
nuke13–70.007%7 Aug →
dust213–1-0.0614%7 Aug →
ancient15–15-0.0513%7 Aug →
nuke11–13-0.0310%7 Aug →
anubis7–13-0.0713%7 Aug →
mirage13–11-0.0116%1 Aug →
anubis13–10.079%1 Aug →
nuke13–160.0313%1 Aug →
nuke16–14-0.0211%1 Aug →
mirage11–13-0.0312%1 Aug →
dust27–13-0.0416%1 Aug →
mirage8–13-0.019%31 Jul →
dust213–70.0513%31 Jul →
inferno10–13-0.0312%31 Jul →
mirage11–130.0215%31 Jul →
nuke13–100.0311%30 Jul →
mirage15–15-0.0512%30 Jul →
dust213–5-0.0014%30 Jul →
dust213–3-0.0312%14 Jun →
inferno9–30.0533%10 Jun →
inferno13–10-0.018%9 Jun →
nuke17–19-0.078%9 Jun →
inferno13–60.0214%4 Jun →
cache13–20.0026%4 Jun →
dust213–7-0.058%3 Jun →
mirage12–12-0.0711%3 Jun →
dust213–11-0.0519%2 Jun →
anubis6–13-0.0810%1 Jun →
ancient3–13-0.087%26 May →
anubis13–2-0.033%26 May →
nuke14–160.0415%26 May →
nuke13–6-0.068%22 May →
inferno9–13-0.0512%21 May →
cache11–130.019%20 May →
cache13–11-0.0513%17 May →
cache13–8-0.0510%4 May →
anubis13–160.0113%27 Apr →
cache_b11–13-0.0214%26 Apr →
cache_b5–13-0.024%25 Apr →
dust24–13-0.0411%25 Apr →
mirage10–13-0.0212%25 Apr →
mirage13–50.028%24 Apr →
cache_b13–50.018%24 Apr →
inferno8–130.0114%23 Apr →
overpass14–160.0217%23 Apr →
mirage13–50.016%23 Apr →
anubis14–160.008%22 Apr →
dust212–160.0218%22 Apr →
mirage13–110.0110%22 Apr →
anubis13–2-0.016%22 Apr →
anubis19–170.019%21 Apr →
mirage13–8-0.026%21 Apr →
dust213–10.037%21 Apr →
nuke8–13-0.018%21 Apr →
mirage12–12-0.0116%20 Apr →
dust23–13-0.0318%20 Apr →
nuke13–8-0.0613%20 Apr →
inferno4–13-0.0614%20 Apr →
nuke2–13-0.0820%19 Apr →

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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