Мамут Рахал

Мамут Рахал — CS2 Stats

RU76561198040265708[U:1:79999980]Steam profile ↗✓ No bans

534Tracked matches47%Win rate2020Tracked since
6,034Hours in CS
CSDB Rating5.7 SolidAll-Rounder
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,304), 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 10 median
Headshot rate51.6%50.9%
Shot accuracy21.4%13.7%
Kill/death ratio0.921.09
Match win rate50.8%48.4%

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CSDB.GGМамут РахалFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim72
Positioning59
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY48–52Last 10048%Win rateWWLLWLLLWW

Last 10 vs previous 10: 0pp win rate · +0.04 avg rating · −1.1pp headshot accuracy · +38ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 26%
  • Avg reaction 556ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 570ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 551ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.2
Utility5.7
Positioning5.9
Opening Duels4.1

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

NiKo

Plays most like NiKo 88% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.2
Positioning5.9
Utility5.7
Mechanics5.3
Opening Duels3.2
Win Impact3.9

Composite 5.7/10 (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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time556ms+25ms
first ⅓ avg 530ms → last ⅓ avg 556ms
Headshot accuracy25.5%+2.0%
first ⅓ avg 23.5% → last ⅓ avg 25.5%

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

0.14Best match rating · 16–2 · overpass, 7 Nov →
40%Best headshot accuracy · 14–16 · dust2, 15 Oct →
375msFastest reaction time · 5–16 · vertigo, 11 Oct →
16–2Biggest win · overpass, 7 Nov →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W2Current streak
2–6In matches decided by ≤2 rounds
99Overtime games

Map breakdown

nukeBest map · 70% over 10infernoWeakest map · 33% over 21
MapGradePlayedRecordWin rateAvg rating
mirageA2917–1259%0.01
infernoD217–1433%-0.02
dust2C176–1135%0.01
nukeS107–370%0.00
ancientC73–443%-0.02
vertigoD62–433%-0.02
trainA53–260%0.00
overpassA53–260%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

349,775Lifetime kills
0.92K/D
10,152Matches
50.8%Match win rate · Top 50% of Level 10 players
51.6%Headshot % · Top 50% of Level 10 players
21.4%Shot accuracy · Top 5% of Level 10 players
33,169MVPs
6,034Hours (in match)
11,239Bombs planted
3,714Bombs defused

Most-used weapons

AK-47132,283
AWP60,913
Glock-1810,332
P2508,170
Knife6,954
SG 5534,664
UMP-454,633

Lifetime map wins

21,781inferno
20,265dust2
20,048train
8,250nuke
6,230cbble
3,382vertigo
188office
156aztec

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.

24.9%Headshot accuracy
35.0%Accuracy (enemy spotted)
36.8%Spray accuracy
73.8%Counter-strafing
12.0°Preaim
541msReaction time
37.1%T opening success
48.2%CT opening success
0.54Enemies flashed / flash
5.7%Flash assists
7.92HE damage / grenade
14.04Flashes / 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 12.0349° — above the 12° mark we flag

    Aim Training →
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.

33% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno16–50.0131%25 Jan →
nuke16–100.0622%25 Jan →
inferno4–16-0.0626%21 Jan →
inferno11–16-0.0522%13 Jan →
mirage16–120.0427%30 Dec →
mirage13–160.0037%30 Dec →
dust210–160.0119%30 Dec →
inferno8–16-0.0626%27 Dec →
dust216–70.0718%26 Dec →
mirage16–130.0817%26 Dec →
nuke16–13-0.0117%26 Dec →
inferno11–16-0.0329%24 Dec →
inferno15–19-0.0440%24 Dec →
inferno16–13-0.1020%24 Dec →
dust212–16-0.0531%14 Dec →
inferno19–160.0431%11 Dec →
inferno16–11-0.0135%9 Dec →
vertigo7–16-0.0922%9 Dec →
nuke22–25-0.0219%6 Dec →
mirage16–30.0012%2 Dec →
train16–110.0223%29 Nov →
inferno12–160.0224%26 Nov →
ancient5–16-0.0938%26 Nov →
nuke11–00.0532%25 Nov →
mirage16–70.0825%25 Nov →
nuke9–16-0.0410%18 Nov →
mirage8–16-0.0021%18 Nov →
nuke11–16-0.0312%18 Nov →
ancient11–16-0.0524%17 Nov →
inferno16–11-0.0138%17 Nov →
mirage16–110.0427%13 Nov →
inferno10–16-0.0632%11 Nov →
mirage13–160.0632%8 Nov →
overpass16–20.146%7 Nov →
inferno15–19-0.0321%29 Oct →
inferno14–16-0.0431%25 Oct →
mirage16–100.0126%24 Oct →
mirage16–10-0.0032%24 Oct →
dust214–160.0540%15 Oct →
mirage13–160.0525%14 Oct →
ancient16–11-0.0122%14 Oct →
dust211–160.0218%14 Oct →
inferno14–160.0330%13 Oct →
mirage16–140.0032%13 Oct →
overpass16–10-0.0124%11 Oct →
dust211–160.0930%11 Oct →
vertigo5–16-0.0117%11 Oct →
overpass10–16-0.0413%2 Oct →
train19–160.0021%5 Sept →
overpass16–120.0627%1 Sept →
inferno16–11-0.0125%28 Aug →
mirage9–160.0032%26 Aug →
mirage12–160.0029%26 Aug →
dust216–120.0027%26 Aug →
mirage16–60.0024%14 Aug →
mirage16–70.0025%13 Aug →
mirage17–190.0023%10 Aug →
inferno15–19-0.0620%9 Aug →
inferno5–160.0029%3 Aug →
mirage16–60.0032%2 Aug →
ancient14–16-0.0126%2 Aug →
mirage16–110.0013%30 Jun →
dust216–120.0028%28 Jun →
mirage4–160.0016%28 Jun →
vertigo16–30.0025%28 Jun →
dust25–160.0038%28 Jun →
ancient14–160.0019%28 Jun →
mirage16–40.0026%28 Jun →
train12–160.0013%28 Jun →
mirage1–160.0024%24 Jun →
train6–160.0039%24 Jun →
mirage13–160.0023%14 Jun →
mirage9–160.0016%14 Jun →
dust25–160.0026%14 Jun →
dust25–160.0036%14 Jun →
dust216–190.0020%14 Jun →
dust215–110.0040%14 Jun →
ancient16–90.0020%14 Jun →
nuke16–140.0021%14 Jun →
dust216–80.0024%14 Jun →
mirage16–120.0024%14 Jun →
vertigo13–160.0030%8 Jun →
vertigo5–160.0031%4 Jun →
mirage13–160.0014%4 Jun →
overpass10–160.0039%4 Jun →
inferno10–160.0018%4 Jun →
nuke16–80.0017%4 Jun →
inferno8–160.0017%4 Jun →
mirage16–110.0016%2 Jun →
dust211–160.0020%2 Jun →
dust216–110.0030%1 Jun →
ancient16–100.0025%29 May →
mirage17–70.0020%29 May →
mirage16–80.0013%29 May →
inferno16–110.0024%28 May →
nuke16–110.0014%28 May →
train16–40.0020%28 May →
vertigo19–160.0023%28 May →
nuke16–80.0024%28 May →
dust23–160.0026%28 May →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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