matt.

matt. — CS2 Stats

76561197961448150[U:1:1182422]Steam profile ↗✓ No bans

1,677Tracked matches31%Win rate2021Tracked since
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating15,369Purple band · top ~26.9% of ranked players (population est.)
FaceitLevel 4 · 992 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGmatt.FACEITLevel 4 · 992 ELOSTANDINGTop 81.0% of rankedPREMIER15,369 · Purple bandcsdb.gg/stats

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Performance scores

Aim57
Positioning59
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY41–55–4Last 10041%Win rateWLWLWLLLWL

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · +5.9pp headshot accuracy · −53ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 28%
  • Avg reaction 519ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 550ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 577ms

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 (+1.8 against its own average).

Aim5.7
Utility5.6
Positioning5.9
Opening Duels2.5
Clutch2.6

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

Twistzz

Plays most like Twistzz 78% 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

Reaction time. 611ms 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

Aim5.7
Positioning5.9
Utility5.6
Mechanics6.9
Opening Duels3.9
Win Impact0.0

Composite 5.2/10 (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 -0.01 → last ⅓ avg -0.01
Reaction time603ms+10ms
first ⅓ avg 594ms → last ⅓ avg 603ms
Headshot accuracy22.3%+0.0%
first ⅓ avg 22.3% → last ⅓ avg 22.3%

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

0.16Best match rating · 11–13 · cache, 14 Oct →
52%Best headshot accuracy · 13–8 · cache, 14 Nov →
414msFastest reaction time · 13–3 · vertigo, 14 Nov →
13–3Biggest win · vertigo, 14 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 60% over 15infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
nukeB2010–1050%-0.02
cacheB189–950%0.00
mirageD154–1127%-0.01
anubisA159–660%-0.00
dust2C135–838%-0.02
ancientD82–625%0.00
infernoD71–614%-0.02
train—20–20%-0.04
vertigo—11–0100%0.06
rush_001—10–10%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

214Matches
47%Win rate
0.86Avg K/D
71.0ADR
57%Headshot %

Clutches & streaks

33%1v1 clutch win
18%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage5946%0.8313.0
Nuke4149%0.8413.1
Ancient3259%0.7813.0
Anubis2730%0.8714.5
Dust22548%1.1615.9
Inferno1258%0.9214.6
Train956%0.6811.3
Overpass633%0.7410.7

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.

22.5%Headshot accuracy
29.1%Accuracy (enemy spotted)
25.1%Spray accuracy
81.2%Counter-strafing
9.8°Preaim
611msReaction time
51.0%T opening success
40.6%CT opening success
0.58Enemies flashed / flash
3.6%Flash assists
7.04HE damage / grenade
13.39Flashes / match

Recommended for you

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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–90.0621%14 Nov →
anubis8–13-0.0725%14 Nov →
cache13–80.0552%14 Nov →
train11–13-0.0415%14 Nov →
nuke13–80.0325%14 Nov →
mirage5–13-0.0818%14 Nov →
dust29–130.0422%14 Nov →
anubis4–13-0.0321%14 Nov →
vertigo13–30.0635%14 Nov →
train10–13-0.0513%13 Nov →
nuke6–13-0.0914%10 Nov →
nuke13–10-0.0522%10 Nov →
anubis13–110.0125%9 Nov →
ancient4–130.0615%8 Nov →
mirage6–13-0.0416%8 Nov →
nuke13–16-0.0124%8 Nov →
nuke15–150.0223%8 Nov →
mirage9–13-0.0316%7 Nov →
cache10–130.0422%6 Nov →
mirage9–130.0811%6 Nov →
ancient13–100.0124%6 Nov →
nuke7–13-0.0721%31 Oct →
mirage4–13-0.0545%31 Oct →
dust213–11-0.0215%31 Oct →
cache13–11-0.0722%31 Oct →
cache2–13-0.0230%31 Oct →
ancient9–130.0227%31 Oct →
inferno8–13-0.0625%30 Oct →
nuke10–13-0.0122%29 Oct →
nuke3–13-0.0317%28 Oct →
anubis16–13-0.0118%25 Oct →
mirage10–13-0.0617%25 Oct →
anubis13–9-0.0321%25 Oct →
mirage13–80.0125%25 Oct →
nuke13–7-0.0218%25 Oct →
cache13–110.0225%25 Oct →
cache6–13-0.0222%24 Oct →
anubis7–130.0120%24 Oct →
nuke13–110.0417%24 Oct →
nuke13–6-0.0322%24 Oct →
anubis13–100.0421%24 Oct →
nuke16–120.0022%23 Oct →
nuke13–5-0.0222%23 Oct →
rush_0017–80.0123%23 Oct →
dust24–13-0.1017%23 Oct →
mirage13–110.0117%23 Oct →
cache11–13-0.0224%22 Oct →
dust28–130.0321%22 Oct →
nuke13–60.0224%22 Oct →
dust29–13-0.0115%21 Oct →
mirage9–13-0.0214%17 Oct →
dust22–13-0.0516%17 Oct →
anubis13–10-0.0112%16 Oct →
inferno10–13-0.0521%15 Oct →
cache11–13-0.0122%15 Oct →
anubis13–6-0.0322%15 Oct →
ancient11–13-0.0032%15 Oct →
cache11–130.1614%14 Oct →
cache13–70.0420%11 Oct →
inferno2–130.0019%11 Oct →
nuke14–160.0216%11 Oct →
anubis13–10-0.0324%10 Oct →
ancient10–13-0.0227%10 Oct →
nuke6–13-0.0234%10 Oct →
dust23–13-0.135%10 Oct →
mirage11–130.0219%9 Oct →
mirage13–10-0.0329%9 Oct →
dust213–50.0224%9 Oct →
dust212–16-0.0217%9 Oct →
inferno13–11-0.0525%9 Oct →
nuke9–13-0.0515%6 Oct →
cache13–5-0.0418%6 Oct →
dust213–9-0.0024%4 Oct →
nuke9–13-0.0133%4 Oct →
mirage15–15-0.0026%4 Oct →
cache6–13-0.0523%4 Oct →
anubis8–13-0.0017%3 Oct →
inferno11–130.0026%3 Oct →
anubis13–70.1026%3 Oct →
dust213–70.0223%3 Oct →
anubis13–160.0028%3 Oct →
dust215–15-0.0329%3 Oct →
ancient13–3-0.0311%3 Oct →
cache13–50.0524%2 Oct →
inferno10–130.0117%30 Sept →
inferno9–13-0.0331%30 Sept →
ancient1–130.0224%30 Sept →
nuke13–60.0312%26 Sept →
anubis13–160.0212%26 Sept →
cache8–130.0120%26 Sept →
anubis13–100.0116%26 Sept →
cache15–15-0.0415%26 Sept →
nuke13–6-0.0614%26 Sept →
mirage8–130.0228%26 Sept →
cache13–10-0.0330%26 Sept →
dust213–11-0.0321%26 Sept →
ancient7–13-0.0443%23 Sept →
cache13–40.0224%23 Sept →
mirage7–13-0.0519%23 Sept →
cache13–6-0.0322%23 Sept →

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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