Matfor23

Matfor23 — CS2 Stats

CA76561199118916776[U:1:1158651048]Steam profile ↗✓ No bans

915Tracked matches43%Win rate2021Tracked since
1,766Hours in CS1Hrs last 2 wks
CSDB Rating5.6 SolidClutch Specialist
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

+9Tracked matches · now 915
+6.2ppWin rate · 36.7% → 42.9%

Rating over time

Premier CS Rating: 20,348 -694 29 Nov – 11 Jan · 15 days played
20,34821,633peak 21,63329 Nov11 Jan
21,633Peak Premier in tracked matches
1,019Highest Faceit ELO seen on CSDB
50Days played since 2025-11-23

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,312), 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 4 medianLevel 5 medianvs Level 5
Headshot rate66.0%42.7%43.7%above
Shot accuracy15.9%11.3%12.0%above
Kill/death ratio1.060.991.02above
Match win rate48.5%43.9%44.7%above

Across every metric we can compare, this profile already matches the typical Level 5 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGMatfor23FACEITLevel 4STANDINGTop 81.0% of rankedPEAK ELO1,019csdb.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

Aim76
Positioning54
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateWWWTLTWWLL

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating · +7.0pp headshot accuracy · +75ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 36%
  • Avg reaction 722ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 33%
  • Avg reaction 721ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 29%
  • Avg reaction 684ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.1 against its own average).

Aim7.6
Utility5.1
Positioning5.4
Opening Duels0.2
Clutch6.4

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

b1t

Plays most like b1t 85% 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

Areas to improve

Reaction time. 678ms 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
Positioning5.4
Utility5.1
Mechanics7.9
Opening Duels0.3
Win Impact2.6

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-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time667ms−13ms
first ⅓ avg 680ms → last ⅓ avg 667ms
Headshot accuracy30.7%+3.0%
first ⅓ avg 27.7% → last ⅓ avg 30.7%

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

0.11Best match rating · 13–11 · mirage, 4 Apr →
100%Best headshot accuracy · 0–5 · inferno, 24 Dec →
391msFastest reaction time · 5–13 · inferno, 11 Jan →
13–0Biggest win · ancient, 2 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W3Current streak
10–4In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 50% over 24nukeWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB2813–1546%-0.01
dust2B2412–1250%-0.00
mirageB2211–1150%-0.01
nukeC114–736%-0.02
cache—41–325%-0.03
ancient—43–175%0.01
overpass—31–233%-0.01
anubis—20–20%-0.06
fachwerk—10–10%-0.06
vertigo—11–0100%0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

59,592Lifetime kills
1.06K/D · Top 50% of Level 4 players
1,939Matches
48.5%Match win rate · Top 25% of Level 4 players
66.0%Headshot % · Top 5% of Level 4 players
15.9%Shot accuracy · Top 25% of Level 4 players
4,435MVPs
2,065Hours (in match)
1,506Bombs planted
526Bombs defused

Most-used weapons

AK-4731,012
AWP2,651
SSG 081,858
Knife604
MP9602

Lifetime map wins

3,498inferno
2,970dust2
1,728nuke
1,297vertigo
316train
95lake
71cbble
66office

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

Faceit stats

Combat

210Matches
50%Win rate
1.16Avg K/D
88.5ADR
49%Headshot %

Clutches & streaks

52%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1050%1.1316.9
Ancient667%1.9919.7
Dust2560%1.4819.4
Inferno450%1.2616.8
Nuke3100%1.0715.7
Vertigo1100%1.6922.0
Cache1100%0.7512.0

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.

30.0%Headshot accuracy
31.2%Accuracy (enemy spotted)
42.5%Spray accuracy
85.7%Counter-strafing
10.8°Preaim
678msReaction time
28.5%T opening success
32.6%CT opening success
0.56Enemies flashed / flash
4.5%Flash assists
9.58HE damage / grenade
9.36Flashes / 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

    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 28.4593% — below the 40% mark we flag

Spend your practice time on Nuke

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage16–130.0132%5 Oct →
inferno13–30.0134%3 Oct →
dust213–6-0.0556%3 Oct →
dust212–12-0.0318%29 Sept →
dust25–13-0.0538%12 Sept →
cache12–12-0.0141%12 Sept →
dust213–50.1120%9 Sept →
dust213–70.0429%9 Sept →
mirage10–13-0.0623%30 Aug →
inferno10–13-0.0537%28 Jul →
cache8–13-0.0827%28 Jul →
mirage16–13-0.0125%27 Jul →
dust26–13-0.0723%27 Jul →
dust213–160.0326%20 Jul →
inferno3–13-0.0427%20 Jul →
ancient8–13-0.0525%12 Jul →
fachwerk4–13-0.0626%12 Jul →
anubis9–13-0.0419%8 Jul →
inferno4–13-0.0844%8 Jul →
mirage8–130.0216%7 Jul →
mirage7–130.0331%7 Jul →
cache10–130.0028%7 Jul →
mirage13–8-0.0721%7 Jul →
cache13–9-0.0220%6 Jul →
inferno13–110.0339%13 Jun →
mirage7–13-0.1345%13 Jun →
nuke13–11-0.0238%10 Jun →
dust213–5-0.0138%10 Jun →
nuke4–13-0.0632%8 Jun →
inferno13–9-0.0127%8 Jun →
overpass8–13-0.0131%7 Jun →
inferno5–9-0.0121%18 Apr →
nuke9–50.0953%18 Apr →
mirage13–110.1140%4 Apr →
ancient13–00.0124%2 Apr →
ancient13–50.0729%2 Apr →
vertigo13–90.0736%2 Apr →
nuke2–130.0328%2 Apr →
dust26–130.1036%2 Apr →
inferno4–13-0.0429%18 Mar →
mirage13–100.0426%14 Mar →
dust213–70.0340%12 Mar →
overpass13–70.0224%11 Mar →
inferno13–30.1022%11 Mar →
dust213–10-0.0014%8 Mar →
ancient13–40.0110%6 Mar →
dust213–20.1126%6 Mar →
anubis6–13-0.0738%3 Mar →
dust213–11-0.0521%3 Mar →
inferno13–11-0.0237%3 Mar →
mirage10–13-0.0221%2 Mar →
nuke7–13-0.0323%2 Mar →
inferno13–4-0.0325%1 Mar →
mirage13–11-0.0514%27 Feb →
inferno13–16-0.0733%27 Feb →
mirage15–150.0241%27 Feb →
inferno9–20.0839%27 Feb →
nuke5–9-0.0148%26 Feb →
inferno13–110.0320%25 Feb →
inferno5–13-0.038%11 Jan →
mirage11–130.0033%11 Jan →
overpass9–13-0.0529%11 Jan →
inferno4–13-0.0730%11 Jan →
mirage6–13-0.0526%11 Jan →
inferno13–6-0.0126%10 Jan →
dust213–40.0738%10 Jan →
mirage10–130.0234%10 Jan →
nuke11–13-0.0330%10 Jan →
mirage13–9-0.0313%10 Jan →
mirage11–13-0.0516%9 Jan →
nuke13–5-0.0113%8 Jan →
dust215–150.0420%8 Jan →
inferno13–50.0318%8 Jan →
mirage13–7-0.0242%7 Jan →
dust213–10-0.0319%7 Jan →
dust29–13-0.0121%2 Jan →
mirage8–13-0.0426%2 Jan →
inferno11–13-0.0417%31 Dec →
dust22–13-0.0427%24 Dec →
inferno13–50.0221%24 Dec →
inferno0–50.00100%24 Dec →
dust210–13-0.0516%24 Dec →
dust23–13-0.0124%23 Dec →
dust210–13-0.0726%23 Dec →
dust213–11-0.0222%22 Dec →
mirage13–11-0.0328%22 Dec →
inferno9–13-0.0824%20 Dec →
dust210–13-0.0921%12 Dec →
inferno13–80.0229%12 Dec →
inferno13–8-0.0619%11 Dec →
nuke13–8-0.0127%11 Dec →
nuke9–13-0.0823%11 Dec →
inferno9–13-0.0228%11 Dec →
inferno10–130.0328%5 Dec →
inferno12–16-0.0434%30 Nov →
mirage13–110.0735%29 Nov →
mirage13–70.0131%29 Nov →
dust213–9-0.0553%24 Nov →
inferno7–13-0.0343%23 Nov →
nuke3–13-0.0618%23 Nov →

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 →

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