Mathias "Guds gåva"

Mathias "Guds gåva" — CS2 Stats

SE76561199847154385[U:1:1886888657]Steam profile ↗✓ No bans

301Tracked matches40%Win rate2025Tracked since
237Hours in CS31Hrs last 2 wks
CSDB Rating5.1 DevelopingSupport
WingmanGold Nova Master
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 43 days played since 21 Dec 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 17,172 -814 23 Dec17 May · 12 days played
16,69320,120peak 20,12023 Dec17 May
20,120Peak Premier in tracked matches
43Days played since 2025-12-21

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

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches6
Win rate50%
K/D1.41
Headshot %56%

Measured 12 Sep 202618 Sep 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim76
Positioning40
Utility47

0–100 skill scores via Leetify.

Recent form

COLD49501Last 10049%Win rateLLLWWLLLLL

Last 10 vs previous 10: −20pp win rate · +0.03 avg rating · +5.2pp headshot accuracy · +59ms reaction

Win rate down 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 (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 566ms

Last 10

  • 28 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 567ms

Last 20

  • 614 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 537ms

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

Aim7.6
Utility4.7
Positioning4.0
Opening Duels1.1

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

device

Plays most like device 94% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

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
Positioning4.0
Utility4.7
Mechanics6.6
Opening Duels1.1
Win Impact1.7

Composite 5.1/10 (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 rating0.00−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time556ms−98ms
first ⅓ avg 654ms → last ⅓ avg 556ms
Headshot accuracy21.1%−1.9%
first ⅓ avg 23.0% → last ⅓ avg 21.1%

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

0.29Best match rating · 9–4 · inferno, 23 Jan
75%Best headshot accuracy · 13–1 · anubis, 25 Dec
375msFastest reaction time · 10–13 · anubis, 21 Aug
13–1Biggest win · anubis, 25 Dec

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
95In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 73% over 15ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C2071335%-0.02
infernoS1511473%0.04
nukeB126650%0.04
anubisC114736%0.01
mirageS118373%0.01
ancientD82625%-0.01
cacheB84450%0.00
officeD62433%0.03
overpass330100%0.04
vertigo2020%0.05
stronghold110100%0.16
alpine110100%0.04
train1010%0.03
rooftop1010%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

6,095Lifetime kills
1.18K/D · Top 25% of tracked players
342Matches
52.9%Match win rate · Top 10% of tracked players
53.8%Headshot % · Top 25% of tracked players
0.0%Shot accuracy
1,020MVPs
113Hours (in match)
323Bombs planted
87Bombs defused

Most-used weapons

Lifetime map wins

567inferno
414nuke
359dust2
179office
104train
103vertigo
18italy
1ar_shoots

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.

20.0%Headshot accuracy
32.6%Accuracy (enemy spotted)
36.0%Spray accuracy
79.7%Counter-strafing
8.3°Preaim
545msReaction time
38.8%T opening success
28.4%CT opening success
0.53Enemies flashed / flash
5.7%Flash assists
5.80HE damage / grenade
11.38Flashes / 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 38.8074% — 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 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis5–130.0034%16 Sept
office0–4-0.0533%16 Sept
anubis4–130.0116%16 Sept
office13–40.1114%15 Sept
nuke13–50.0529%15 Sept
ancient9–13-0.0723%10 Sept
anubis5–130.0519%5 Sept
cache6–13-0.0520%5 Sept
office3–13-0.0112%5 Sept
office5–130.0739%5 Sept
office5–130.0342%5 Sept
ancient13–60.1021%22 Aug
mirage16–13-0.0327%22 Aug
ancient7–13-0.0320%21 Aug
anubis10–13-0.029%21 Aug
cache13–8-0.076%14 Aug
dust29–13-0.0111%14 Aug
cache5–13-0.0821%14 Aug
dust213–7-0.0216%14 Aug
dust210–13-0.0413%14 Aug
nuke9–13-0.0318%9 Aug
dust22–13-0.0215%9 Aug
dust20–13-0.050%9 Aug
ancient13–2-0.0417%8 Aug
dust213–10-0.0419%2 Aug
cache5–130.0514%1 Aug
mirage13–90.0619%28 Jul
cache13–110.0336%28 Jul
cache13–40.0426%24 Jul
inferno13–11-0.0317%7 Jul
cache13–20.0624%7 Jul
inferno13–20.1129%7 Jul
cache7–130.0438%7 Jul
nuke13–110.0324%17 May
nuke9–50.1124%17 May
nuke15–150.067%14 May
inferno16–140.0525%14 May
anubis9–130.0120%9 May
ancient10–130.0230%19 Mar
nuke13–7-0.0119%19 Mar
inferno9–10.2247%12 Mar
dust211–13-0.0515%12 Mar
mirage13–20.0322%12 Mar
dust26–13-0.0521%7 Mar
ancient2–130.000%6 Mar
ancient6–13-0.0420%6 Mar
dust24–13-0.0418%6 Mar
dust213–7-0.0316%26 Feb
ancient4–13-0.0119%25 Feb
inferno13–40.0126%19 Feb
mirage13–11-0.0227%19 Feb
inferno12–160.0222%18 Feb
mirage13–90.0214%15 Feb
office13–80.0324%15 Feb
mirage7–130.0337%14 Feb
dust211–13-0.0426%14 Feb
dust23–120.0422%13 Feb
nuke10–130.0019%13 Feb
anubis5–130.0316%12 Feb
dust212–160.0326%6 Feb
nuke11–130.0034%6 Feb
mirage7–13-0.0524%5 Feb
inferno13–110.0222%2 Feb
anubis13–8-0.0027%31 Jan
dust216–140.0124%31 Jan
overpass13–4-0.0121%31 Jan
inferno13–90.0314%30 Jan
nuke13–60.0224%30 Jan
anubis8–13-0.0313%30 Jan
inferno9–40.2931%23 Jan
nuke6–9-0.0726%23 Jan
overpass9–40.1334%23 Jan
anubis13–40.0114%23 Jan
stronghold13–20.1612%23 Jan
alpine13–60.0413%23 Jan
dust26–13-0.0519%23 Jan
mirage13–110.0217%15 Jan
dust213–8-0.0324%15 Jan
inferno4–13-0.0817%15 Jan
mirage13–80.0419%14 Jan
dust26–130.0541%14 Jan
inferno13–50.0328%13 Jan
inferno11–13-0.0223%13 Jan
mirage13–11-0.0325%13 Jan
dust213–9-0.0317%27 Dec
train7–130.0320%27 Dec
vertigo9–130.039%26 Dec
anubis13–40.0241%26 Dec
nuke11–130.0913%26 Dec
dust24–13-0.0521%25 Dec
dust213–90.0232%25 Dec
inferno13–60.039%25 Dec
rooftop1–9-0.0144%25 Dec
inferno4–9-0.060%25 Dec
anubis13–10.0775%25 Dec
overpass16–130.0124%23 Dec
inferno5–00.058%21 Dec
nuke13–50.1724%21 Dec
mirage10–130.0127%21 Dec
vertigo8–130.0714%21 Dec

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →