Mohis

Mohis — CS2 Stats

FI76561197994614703[U:1:34348975]Steam profile ↗VAC banned

1,013Tracked matches53%Win rate2020Tracked since
4,649Hours in CS4Hrs last 2 wks
CSDB Rating6.9 SolidSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,175 → 2,175
+4Tracked matches · now 1,013
0.0ppWin rate · 53.3% → 53.3%

Rating over time

Premier CS Rating: 24,237 -1,329 27 Nov – 17 Jun · 19 days played
21,66226,173peak 26,17327 Nov17 Jun
Faceit ELO: 2,175 +0 20 Sept – 3 Oct · 2 observations
2,1752,175peak 2,17520 Sept3 Oct
26,641Peak Premier in tracked matches
2,175Highest Faceit ELO seen on CSDB
37Days played since 2025-11-27

Faceit ELO

  • At peak — 2,175
  • Next: 2,500 ELO at 2,500 — 325 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-20
  • Level 9 first seen 2026-09-20

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches5——
Win rate40%——
K/D1.10——
Headshot %50%——

Measured 10 Sep 2026 → 13 Oct 2026; no observation near 60 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.

Share this profile

CSDB.GGMohisPEAK ELO2,175csdb.gg/stats

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Performance scores

Aim87
Positioning62
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateLLWWWLWWWL

Last 10 vs previous 10: +30pp win rate · −0.03 avg rating · −3.7pp headshot accuracy · −73ms reaction

Win rate up 30pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 444ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 451ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 488ms

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 (+1.5 against its own average).

Aim8.7
Utility6.5
Positioning6.2
Opening Duels4.5
Clutch3.0

Sharp aimer

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 94% playstyle similarity

Most alike: utility contribution, 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

T-side openings. Opening success drops from 54% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.7
Positioning6.2
Utility6.5
Mechanics7.6
Opening Duels3.2
Win Impact6.1

Composite 6.9/10 (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 rating0.02+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time506ms−29ms
first ⅓ avg 535ms → last ⅓ avg 506ms
Headshot accuracy17.5%+0.6%
first ⅓ avg 16.9% → last ⅓ avg 17.5%

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

0.13Best match rating · 10–13 · nuke, 17 Jun →
35%Best headshot accuracy · 13–10 · nuke, 6 Jan →
391msFastest reaction time · 8–13 · anubis, 13 Oct →
13–2Biggest win · ancient, 20 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
6–3In matches decided by ≤2 rounds
13Overtime games

Map breakdown

overpassBest map · 70% over 10anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
nukeA2314–961%0.01
ancientC198–1142%0.00
mirageB179–853%0.01
overpassS107–370%0.02
infernoD103–730%-0.02
anubisD72–529%-0.03
cacheD72–529%0.04
dust2A74–357%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

168,128Lifetime kills
0.99K/D
5,099Matches
48.1%Match win rate · Top 50% of tracked players
54.8%Headshot % · Top 25% of tracked players
18.0%Shot accuracy · Top 10% of tracked players
12,082MVPs
3,480Hours (in match)
7,024Bombs planted
1,861Bombs defused

Most-used weapons

AK-4762,459
AWP10,840
P2503,636
FAMAS2,596
Knife2,045

Lifetime map wins

9,513inferno
6,282dust2
4,345train
2,247cbble
2,247nuke
488vertigo
21aztec
18italy

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

Faceit stats

Combat

1,914Matches
52%Win rate
1.16Avg K/D
84.0ADR
46%Headshot %

Clutches & streaks

35%1v1 clutch win
25%1v2 clutch win
14Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage9053%1.1115.7
Ancient5850%1.2917.3
Anubis5444%1.2516.8
Nuke4856%1.3416.0
Inferno4360%1.2417.0
Dust23053%1.1817.4
Vertigo1844%1.1114.6
Overpass1354%1.2416.0

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.

17.4%Headshot accuracy
39.7%Accuracy (enemy spotted)
40.3%Spray accuracy
84.2%Counter-strafing
8.9°Preaim
509msReaction time
31.7%T opening success
53.6%CT opening success
0.65Enemies flashed / flash
5.1%Flash assists
7.08HE damage / grenade
14.92Flashes / 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 31.7127% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage12–160.0114%13 Oct →
anubis8–13-0.0015%13 Oct →
cache13–80.0217%13 Oct →
mirage13–110.0820%11 Oct →
anubis13–10-0.0112%20 Jul →
nuke11–13-0.035%20 Jul →
ancient13–20.0517%20 Jul →
nuke13–8-0.0615%20 Jul →
mirage13–10-0.0213%20 Jul →
ancient5–13-0.0829%20 Jul →
ancient10–13-0.0115%19 Jul →
ancient11–130.0631%7 Jul →
cache5–13-0.0021%7 Jul →
mirage13–60.0223%6 Jul →
mirage7–13-0.0226%3 Jul →
nuke10–130.1319%17 Jun →
ancient13–110.0015%17 Jun →
anubis6–13-0.0515%17 Jun →
ancient13–80.0714%17 Jun →
ancient8–130.0514%16 Jun →
nuke13–100.0020%16 Jun →
ancient13–40.0311%16 Jun →
overpass13–100.0714%16 Jun →
mirage19–16-0.0112%16 Jun →
dust213–80.0431%16 Jun →
nuke13–50.038%14 May →
cache9–130.0213%11 May →
cache10–130.0422%11 May →
cache10–130.0424%11 May →
cache13–70.1222%11 May →
nuke13–10-0.0116%8 May →
anubis13–100.0116%6 May →
ancient6–13-0.0417%6 May →
cache13–160.0513%6 May →
mirage13–80.0518%25 Apr →
overpass5–13-0.0121%25 Apr →
mirage3–13-0.0222%24 Apr →
mirage15–15-0.0318%11 Apr →
overpass13–6-0.025%31 Mar →
nuke13–100.0431%31 Mar →
dust27–130.0021%26 Mar →
inferno13–4-0.0913%25 Mar →
nuke2–13-0.0621%25 Mar →
dust212–160.0231%25 Mar →
overpass6–130.0011%25 Mar →
overpass5–130.0720%25 Mar →
anubis2–13-0.0213%24 Mar →
inferno7–13-0.0213%24 Mar →
ancient5–13-0.0523%24 Mar →
nuke13–70.0426%17 Mar →
inferno13–70.0119%17 Mar →
mirage7–13-0.0124%17 Mar →
inferno10–13-0.0414%17 Mar →
mirage13–110.0322%17 Mar →
inferno3–130.0619%3 Mar →
mirage8–130.0222%3 Mar →
nuke13–160.0619%3 Mar →
anubis6–13-0.0814%2 Mar →
nuke10–13-0.0311%2 Mar →
nuke13–110.0126%25 Feb →
overpass16–130.0516%24 Feb →
nuke6–13-0.0619%24 Feb →
overpass13–5-0.0319%24 Feb →
ancient10–13-0.0113%24 Feb →
ancient5–130.0116%24 Feb →
nuke13–20.0521%24 Feb →
nuke13–30.0518%24 Feb →
ancient13–90.0116%24 Feb →
overpass13–80.0124%24 Feb →
ancient13–60.0419%23 Feb →
dust213–10-0.0018%18 Feb →
mirage13–80.0724%18 Feb →
nuke15–150.0112%17 Feb →
inferno16–14-0.0216%16 Feb →
mirage13–90.0115%16 Feb →
ancient9–13-0.0813%16 Feb →
ancient10–13-0.0219%15 Feb →
overpass13–80.0112%15 Feb →
mirage13–6-0.0114%15 Feb →
inferno10–130.0216%15 Feb →
nuke13–70.0120%2 Feb →
overpass13–30.0211%2 Feb →
dust210–13-0.0322%2 Feb →
mirage10–130.0219%2 Feb →
ancient16–120.1112%2 Feb →
dust216–130.0616%1 Feb →
anubis6–13-0.0910%1 Feb →
nuke13–20.0810%1 Feb →
nuke13–70.0510%1 Feb →
nuke12–160.0016%1 Feb →
dust213–10-0.0019%16 Jan →
inferno8–13-0.0427%16 Jan →
ancient10–13-0.0413%16 Jan →
inferno4–13-0.0419%6 Jan →
mirage4–130.0626%6 Jan →
nuke13–10-0.0235%6 Jan →
ancient16–14-0.008%18 Dec →
nuke7–13-0.0314%18 Dec →
nuke13–3-0.0233%10 Dec →
inferno11–13-0.000%27 Nov →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 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.