Mattstorm

Mattstorm — CS2 Stats

AU76561198130857343[U:1:170591615]Steam profile ↗✓ No bans

1,063Tracked matches61%Win rate2020Tracked since
2,424Hours in CS10Hrs last 2 wks
CSDB Rating5.4 DevelopingSupport
Premier CS Rating22,178Top 50% of 210,367 CSDB-tracked playersPink band · top ~6.1% of ranked players (population est.)
CSDB Leaderboard#53446 of 257426 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

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

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,178 +2,352 5 Aug – 24 Oct · 33 days played
19,82622,178peak 22,1785 Aug24 Oct
22,178Peak Premier in tracked matches
35Days played since 2026-08-05

Premier CS Rating

  • At peak — 22,178
  • +2,313 over 30 days · improving
  • +2,352 over 90 days
  • Next: Red band at 25,000 — 2,822 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-10
  • Purple band first seen 2026-09-10

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

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,492), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate43.1%41.8%42.7%meets
Shot accuracy15.4%12.2%11.2%above
Kill/death ratio0.870.980.990.12 short
Match win rate39.6%43.3%43.9%4.3% short

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMattstormFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER22,178 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim47
Positioning53
Utility55

0–100 skill scores via Leetify.

Recent form

HOT54–36–10Last 10054%Win rateWWWLWLLWWW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +3.3pp headshot accuracy · +81ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 29%
  • Avg reaction 703ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 25%
  • Avg reaction 670ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 629ms

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: Support — Utility contribution stands above the rest of this profile (+1.4 against its own average).

Aim4.7
Utility5.5
Positioning5.3
Opening Duels1.4

Limited 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

ZywOo

Plays most like ZywOo 72% 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

CT openings. Opening success drops from 56% on T to 33% on CT — first contacts on the defending side are being lost.

Reaction time. 621ms 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

Aim4.7
Positioning5.3
Utility5.5
Mechanics4.9
Opening Duels3.6
Win Impact8.6

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 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 time615ms+23ms
first ⅓ avg 592ms → last ⅓ avg 615ms
Headshot accuracy24.2%+4.3%
first ⅓ avg 19.8% → last ⅓ avg 24.2%

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

0.20Best match rating · 9–0 · inferno, 26 Aug →
100%Best headshot accuracy · 4–0 · cache, 2 Sept →
328msFastest reaction time · 4–0 · cache, 2 Sept →
13–1Biggest win · mirage, 19 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W3Current streak
8–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 62% over 26anubisWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
infernoA2616–1062%-0.03
cacheA1710–759%-0.03
ancientB178–947%-0.03
mirageA169–756%-0.02
nukeB126–650%-0.02
anubisC52–340%-0.04
dust2—42–250%-0.04
rush_001—11–0100%0.10
debris—10–10%-0.05
vertigo—10–10%-0.17

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

61,922Lifetime kills
0.87K/D
4,170Matches
39.6%Match win rate
43.1%Headshot % · Top 50% of Level 3 players
15.4%Shot accuracy · Top 50% of Level 3 players
6,616MVPs
1,680Hours (in match)
3,418Bombs planted
1,016Bombs defused

Most-used weapons

AK-4716,448
AWP6,686
MP91,956
P901,862
MAC-101,668
UMP-451,607

Lifetime map wins

8,068inferno
3,048dust2
1,798train
1,438nuke
919vertigo
372cbble
206lake
81safehouse

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

22.9%Headshot accuracy
27.4%Accuracy (enemy spotted)
31.5%Spray accuracy
71.8%Counter-strafing
11.1°Preaim
621msReaction time
56.1%T opening success
32.5%CT opening success
0.57Enemies flashed / flash
11.8%Flash assists
9.43HE damage / grenade
3.29Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.294 — below the 4 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 32.5403% — below the 40% mark we flag

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–10-0.0714%24 Oct →
nuke13–20.0523%24 Oct →
inferno13–5-0.0835%24 Oct →
cache11–13-0.0544%24 Oct →
ancient13–20.0227%24 Oct →
ancient10–13-0.0013%20 Oct →
dust28–13-0.0516%20 Oct →
inferno13–40.0219%19 Oct →
mirage13–4-0.0435%19 Oct →
ancient13–8-0.0624%19 Oct →
rush_0014–00.1031%19 Oct →
dust213–6-0.039%18 Oct →
dust213–10-0.0422%12 Oct →
ancient13–11-0.0817%5 Oct →
cache7–13-0.0229%30 Sept →
anubis5–13-0.0515%30 Sept →
mirage13–7-0.0536%30 Sept →
mirage13–9-0.0316%29 Sept →
nuke7–9-0.1920%29 Sept →
ancient16–14-0.0321%28 Sept →
inferno7–9-0.0527%28 Sept →
inferno10–13-0.0220%28 Sept →
ancient13–110.0129%28 Sept →
nuke10–13-0.0119%28 Sept →
mirage6–13-0.0620%28 Sept →
dust22–13-0.0229%28 Sept →
cache13–80.0223%10 Sept →
inferno13–9-0.0538%10 Sept →
inferno9–50.1740%8 Sept →
inferno9–50.0830%8 Sept →
debris8–8-0.0520%7 Sept →
nuke15–15-0.0813%7 Sept →
ancient13–11-0.0324%7 Sept →
cache1–13-0.0233%7 Sept →
inferno9–5-0.1218%7 Sept →
inferno9–3-0.0417%7 Sept →
cache15–15-0.0116%6 Sept →
mirage8–13-0.0124%6 Sept →
ancient9–130.0015%6 Sept →
inferno6–13-0.0718%2 Sept →
mirage4–13-0.0520%2 Sept →
ancient15–15-0.0220%2 Sept →
inferno13–5-0.0817%2 Sept →
cache4–00.00100%2 Sept →
mirage10–5-0.0729%31 Aug →
ancient16–13-0.0117%31 Aug →
inferno9–7-0.1414%31 Aug →
inferno8–8-0.0419%31 Aug →
inferno0–9-0.1827%31 Aug →
inferno9–7-0.0510%30 Aug →
inferno9–3-0.0217%30 Aug →
mirage8–13-0.0342%30 Aug →
cache13–7-0.0515%29 Aug →
ancient7–13-0.0521%29 Aug →
cache13–5-0.0620%29 Aug →
ancient15–15-0.0014%28 Aug →
inferno9–00.2018%26 Aug →
anubis9–13-0.0411%26 Aug →
cache10–13-0.0517%25 Aug →
nuke9–130.0326%24 Aug →
inferno5–13-0.0021%24 Aug →
nuke13–11-0.0623%24 Aug →
mirage13–80.0024%24 Aug →
cache13–5-0.0317%24 Aug →
inferno13–8-0.0414%23 Aug →
cache15–15-0.0219%22 Aug →
cache10–13-0.0522%20 Aug →
inferno13–4-0.0416%20 Aug →
nuke11–13-0.058%19 Aug →
mirage13–1-0.0312%19 Aug →
inferno4–9-0.023%19 Aug →
anubis5–13-0.099%17 Aug →
mirage13–60.0014%17 Aug →
inferno9–10.0223%17 Aug →
nuke9–10.1218%17 Aug →
cache13–30.0224%15 Aug →
inferno9–13-0.0117%15 Aug →
nuke13–90.0122%15 Aug →
anubis13–70.0330%15 Aug →
ancient8–13-0.0523%15 Aug →
inferno13–8-0.0120%14 Aug →
ancient5–13-0.0918%14 Aug →
mirage13–20.1023%14 Aug →
mirage13–16-0.0321%14 Aug →
cache13–10-0.0331%13 Aug →
ancient13–11-0.0315%13 Aug →
ancient15–15-0.0516%12 Aug →
inferno6–13-0.0620%11 Aug →
mirage13–90.0120%9 Aug →
cache3–00.0150%9 Aug →
inferno15–15-0.0510%9 Aug →
mirage15–15-0.0417%8 Aug →
vertigo4–9-0.1750%7 Aug →
nuke13–9-0.0022%7 Aug →
cache13–10-0.0524%7 Aug →
nuke9–13-0.0315%7 Aug →
ancient11–13-0.0319%5 Aug →
anubis13–8-0.0314%5 Aug →
nuke13–10-0.0122%5 Aug →
mirage6–13-0.0513%5 Aug →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.