-FerM

-FerM — CS2 Stats

SE76561198130152425[U:1:169886697]Steam profile ↗✓ No bans

1,489Tracked matches50%Win rate2020Tracked since
2,310Hours in CS
CSDB Rating5.2 DevelopingAll-Rounder
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,489 tracked matches. Play, then come back: the next observation lands here.

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. 45 days played since 23 Jan 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

1,981Highest Faceit ELO seen on CSDB
45Days played since 2026-01-23

Faceit ELO

  • At peak — 1,981
  • Next: Level 10 at 2,001 20 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-31
  • Level 8 first seen 2026-08-31

CSDB’s own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GG-FerMPEAK ELO1,981csdb.gg/stats

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Performance scores

Aim63
Positioning53
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY4852Last 10048%Win rateLWLLLWWWWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −1.6pp headshot accuracy · +2ms reaction

Win rate +10pp 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

  • 14 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 639ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 610ms

Last 20

  • 119 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 609ms

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-RounderNo style dimension stands clear of the others in this profile.

Aim6.3
Utility4.8
Positioning5.3
Opening Duels4.2
Clutch3.8

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

iM

Plays most like iM 90% playstyle similarity

Most alike: opening-duel success, utility contribution.

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 →

Strengths & areas to improve

Areas to improve

Reaction time. 619ms 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

Aim6.3
Positioning5.3
Utility4.8
Mechanics6.3
Opening Duels3.2
Win Impact5.0

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time610ms−42ms
first ⅓ avg 652ms → last ⅓ avg 610ms
Headshot accuracy13.6%+7.2%
first ⅓ avg 6.4% → last ⅓ avg 13.6%

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 · 13–4 · anubis, 4 Feb
32%Best headshot accuracy · 13–16 · mirage, 4 Mar
438msFastest reaction time · 11–13 · inferno, 11 Apr
13–2Biggest win · dust2, 11 Apr

Across the last 100 tracked matches.

Highlights

6Longest win streak
105In matches decided by ≤2 rounds
17Overtime games

Map breakdown

overpassBest map · 85% over 13mirageWeakest map · 32% over 22
MapGradePlayedRecordWin rateAvg rating
mirageD2271532%-0.00
dust2C1871139%-0.01
overpassS1311285%0.02
infernoB137654%-0.02
ancientD124833%-0.03
anubisA117464%0.01
cache_bA74357%-0.01
vertigo2020%-0.03
nuke21150%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (32% over 22). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

108,759Lifetime kills
1.05K/D · Top 50% of tracked players
5,207Matches
45.6%Match win rate · Top 50% of tracked players
33.9%Headshot %
13.6%Shot accuracy · Top 50% of tracked players
13,341MVPs
2,310Hours (in match)
5,906Bombs planted
1,391Bombs defused

Most-used weapons

AK-4734,242
AWP11,462
P2506,238
P903,376
Knife2,030

Lifetime map wins

7,822inferno
6,238dust2
5,619nuke
2,174vertigo
1,409train
592cbble
311assault
299office

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

Faceit stats

Combat

881Matches
52%Win rate
1.11Avg K/D
84.2ADR
39%Headshot %

Clutches & streaks

39%1v1 clutch win
18%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage22951%1.1117.1
Dust212953%0.9715.8
Ancient12852%1.0516.1
Nuke6545%1.0015.6
Anubis6048%1.1217.7
Inferno5657%1.0216.1
Overpass4757%1.1217.2
Train2250%1.0617.1

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.

13.7%Headshot accuracy
35.5%Accuracy (enemy spotted)
37.1%Spray accuracy
78.4%Counter-strafing
9.3°Preaim
619msReaction time
42.5%T opening success
43.0%CT opening success
0.50Enemies flashed / flash
8.2%Flash assists
7.89HE damage / grenade
6.11Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.7237% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4955 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Mirage

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

32% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust24–13-0.0614%29 Aug
overpass9–60.124%28 Aug
dust213–16-0.0514%22 Jul
mirage13–16-0.0117%16 May
dust25–13-0.0824%15 May
ancient13–6-0.0115%7 May
mirage13–11-0.0910%24 Apr
inferno13–10-0.066%15 Apr
anubis13–11-0.056%11 Apr
dust213–20.0011%11 Apr
overpass19–17-0.017%11 Apr
mirage6–13-0.0819%11 Apr
inferno11–13-0.077%11 Apr
overpass13–9-0.038%11 Apr
dust24–13-0.0712%11 Apr
overpass15–19-0.0211%11 Apr
inferno13–10-0.0511%11 Apr
mirage13–10-0.0314%11 Apr
dust213–20.1120%10 Apr
mirage7–130.0227%10 Apr
mirage13–110.0513%5 Apr
ancient5–13-0.0611%4 Apr
anubis8–13-0.0317%3 Apr
dust213–110.0529%2 Apr
ancient11–13-0.0716%1 Apr
mirage13–100.0713%27 Mar
ancient7–13-0.0211%27 Mar
inferno2–13-0.0410%27 Mar
overpass13–60.045%27 Mar
mirage13–100.0813%25 Mar
mirage5–130.0630%21 Mar
inferno13–80.0813%19 Mar
overpass13–60.0010%17 Mar
mirage9–13-0.0017%16 Mar
inferno13–8-0.088%14 Mar
dust222–180.0119%12 Mar
anubis13–30.1215%11 Mar
inferno16–130.0114%8 Mar
mirage13–100.0718%8 Mar
mirage7–13-0.0411%8 Mar
dust213–30.059%7 Mar
ancient10–130.005%7 Mar
mirage13–160.0632%4 Mar
ancient13–100.0319%3 Mar
inferno6–13-0.0619%27 Feb
ancient6–13-0.0811%25 Feb
ancient9–13-0.097%25 Feb
ancient13–16-0.0313%21 Feb
dust210–13-0.0121%21 Feb
ancient13–70.0310%20 Feb
dust27–13-0.0414%16 Feb
inferno19–22-0.0117%16 Feb
dust216–13-0.0225%12 Feb
mirage13–16-0.0114%7 Feb
mirage3–13-0.0816%7 Feb
dust210–13-0.0619%6 Feb
cache_b13–9-0.0520%6 Feb
inferno13–30.0118%6 Feb
mirage8–13-0.0023%6 Feb
overpass16–140.0516%6 Feb
anubis3–13-0.053%6 Feb
inferno13–5-0.0321%5 Feb
vertigo4–13-0.045%4 Feb
anubis13–40.139%4 Feb
cache_b13–8-0.0318%4 Feb
mirage10–13-0.077%4 Feb
anubis13–70.0419%1 Feb
overpass11–13-0.0212%1 Feb
dust26–13-0.0714%1 Feb
mirage4–13-0.0219%1 Feb
cache_b9–13-0.0013%1 Feb
cache_b13–16-0.0327%31 Jan
nuke13–100.017%31 Jan
overpass13–60.1020%31 Jan
ancient13–100.0114%31 Jan
anubis5–13-0.085%31 Jan
mirage8–13-0.0214%31 Jan
dust213–100.0327%28 Jan
overpass13–11-0.0425%28 Jan
inferno14–16-0.048%26 Jan
anubis7–13-0.027%26 Jan
cache_b4–13-0.000%25 Jan
overpass13–110.020%24 Jan
mirage15–19-0.010%24 Jan
inferno10–130.010%24 Jan
dust210–13-0.050%24 Jan
overpass13–110.050%24 Jan
nuke10–130.040%24 Jan
anubis13–110.020%24 Jan
mirage13–30.100%24 Jan
cache_b13–80.000%24 Jan
cache_b13–80.030%24 Jan
overpass16–130.010%24 Jan
mirage5–13-0.040%24 Jan
anubis13–50.070%24 Jan
vertigo8–13-0.010%23 Jan
ancient4–13-0.090%23 Jan
dust210–130.020%23 Jan
anubis13–40.030%23 Jan
dust217–190.030%23 Jan

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 →