t0mN

t0mN — CS2 Stats

DE76561198165348657[U:1:205082929]Steam profile ↗✓ No bans

3,047Tracked matches54%Win rate2020Tracked since
CSDB Rating5.0 DevelopingSupport
WingmanSupreme Master First Class
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 17,740 -1,858 26 Feb – 9 Jun · 13 days played
17,49919,598peak 19,59826 Feb9 Jun
19,703Peak Premier in tracked matches
1,676Highest Faceit ELO seen on CSDB
55Days played since 2026-02-21

Faceit ELO

  • At peak — 1,676
  • Next: Level 9 at 1,751 — 75 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

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

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CSDB.GGt0mNPEAK ELO1,676csdb.gg/stats

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Performance scores

Aim73
Positioning39
Utility42

0–100 skill scores via Leetify.

Recent form

COLD48–45–7Last 10048%Win rateLWLTWLLLLW

Last 10 vs previous 10: −40pp win rate · +0.00 avg rating · +0.1pp headshot accuracy · +124ms reaction

Win rate down 40pp 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 (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 678ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 691ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 629ms

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 (+0.9 against its own average).

Aim7.3
Utility4.2
Positioning3.9
Opening Duels2.5
Clutch2.6

Limited utility dependence

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 91% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution; lower positioning 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

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 644ms 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

Aim7.3
Positioning3.9
Utility4.2
Mechanics5.9
Opening Duels1.6
Win Impact6.2

Composite 5.0/10 (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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time644ms+12ms
first ⅓ avg 632ms → last ⅓ avg 644ms
Headshot accuracy22.4%−0.3%
first ⅓ avg 22.7% → last ⅓ avg 22.4%

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

0.21Best match rating · 11–13 · ancient, 15 Aug →
50%Best headshot accuracy · 1–7 · office, 14 May →
383msFastest reaction time · 4–0 · mirage, 26 Feb →
13–2Biggest win · nuke, 2 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 73% over 11mirageWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
infernoA159–660%0.02
mirageD132–1115%-0.01
dust2D134–931%-0.01
cacheS118–373%-0.00
ancientC73–443%0.02
overpassS64–267%0.02
anubisA53–260%0.02
vertigoA53–260%-0.00
nuke—31–233%0.05
office—31–233%0.02
fachwerk—32–167%-0.01
train—21–150%-0.05
warden—21–150%0.02
poseidon—21–150%-0.04
insertion2—21–150%-0.05
pango—21–150%0.01
fjords—22–0100%0.01
boulder—11–0100%-0.03
sanctum—10–10%-0.18
stronghold—10–10%0.04
breach—10–10%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (15% over 13). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

894Matches
53%Win rate
0.98Avg K/D
72.2ADR
51%Headshot %

Clutches & streaks

33%1v1 clutch win
16%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust25650%0.9213.7
Inferno3884%1.0615.3
Mirage3762%1.0915.2
Cache2450%1.0516.3
Overpass2268%1.0914.1
Ancient1953%0.9814.9
Anubis1457%1.1518.4
Nuke922%1.0114.6

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.

22.3%Headshot accuracy
38.6%Accuracy (enemy spotted)
42.0%Spray accuracy
76.6%Counter-strafing
11.1°Preaim
644msReaction time
29.9%T opening success
42.7%CT opening success
0.43Enemies flashed / flash
10.2%Flash assists
8.30HE damage / grenade
4.80Flashes / 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. 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 0.4344 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 29.9306% — below the 40% mark we flag

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.

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.0114%31 Oct →
inferno13–100.0831%9 Sept →
nuke8–130.0514%9 Sept →
office12–120.0225%2 Sept →
fachwerk13–9-0.0021%1 Sept →
cache5–130.0227%1 Sept →
inferno6–130.0013%28 Aug →
nuke7–13-0.0315%28 Aug →
fachwerk8–13-0.0618%27 Aug →
fachwerk13–50.0533%27 Aug →
boulder13–7-0.0321%27 Aug →
cache8–13-0.0223%27 Aug →
inferno13–100.0118%27 Aug →
cache7–3-0.0414%27 Aug →
cache13–8-0.0638%27 Aug →
dust213–90.1037%20 Aug →
ancient13–110.0016%16 Aug →
anubis13–10-0.0013%15 Aug →
ancient11–130.2120%15 Aug →
train12–12-0.0811%15 Aug →
train13–7-0.0215%15 Aug →
anubis7–130.0714%11 Aug →
inferno4–11-0.0120%11 Aug →
cache13–40.0219%5 Aug →
cache3–13-0.0519%3 Aug →
mirage2–90.0025%3 Aug →
vertigo13–11-0.0636%30 Jul →
vertigo13–5-0.0743%30 Jul →
dust25–130.0519%25 Jul →
cache13–80.0335%25 Jul →
cache13–70.0131%24 Jul →
cache13–50.0426%24 Jul →
inferno2–13-0.0014%24 Jul →
warden11–130.0228%6 Jul →
dust215–15-0.0315%2 Jul →
mirage14–160.0118%2 Jul →
inferno9–130.0223%9 Jun →
ancient11–130.0116%7 Jun →
vertigo13–40.1628%6 Jun →
mirage3–13-0.0319%4 Jun →
mirage13–110.0131%3 Jun →
inferno7–13-0.0240%1 Jun →
ancient13–80.0026%1 Jun →
anubis13–3-0.0222%30 May →
poseidon9–60.0615%25 May →
inferno9–60.1216%25 May →
sanctum6–9-0.1814%25 May →
dust210–13-0.0513%14 May →
office1–7-0.0250%14 May →
office13–30.0545%14 May →
inferno13–90.0318%12 May →
mirage10–130.0422%9 May →
mirage9–13-0.0215%9 May →
inferno13–9-0.0424%9 May →
cache13–50.0215%4 May →
cache13–110.0021%4 May →
inferno13–30.0118%3 May →
inferno13–100.0611%3 May →
dust210–13-0.0315%2 May →
nuke13–20.1211%2 May →
dust23–13-0.0622%1 May →
ancient13–8-0.0137%30 Apr →
mirage7–13-0.0018%30 Apr →
dust24–13-0.0117%29 Apr →
inferno13–80.0426%22 Apr →
mirage9–13-0.0513%22 Apr →
inferno8–130.0031%21 Apr →
overpass13–70.0118%21 Apr →
vertigo8–13-0.0324%18 Apr →
mirage10–13-0.065%18 Apr →
dust213–7-0.0029%16 Apr →
inferno13–80.0232%16 Apr →
dust213–2-0.0129%10 Apr →
mirage8–13-0.0218%9 Apr →
dust215–15-0.0616%9 Apr →
vertigo12–12-0.0130%8 Apr →
dust211–130.0125%8 Apr →
overpass8–13-0.1013%8 Apr →
anubis12–120.0214%4 Apr →
anubis13–30.0428%4 Apr →
poseidon6–9-0.1438%24 Mar →
mirage14–16-0.0130%19 Mar →
stronghold12–120.0418%15 Mar →
warden13–90.0218%15 Mar →
overpass13–60.2024%12 Mar →
breach8–13-0.0620%4 Mar →
insertion213–9-0.084%3 Mar →
pango13–110.0125%3 Mar →
insertion26–13-0.0316%2 Mar →
pango11–130.0025%2 Mar →
fjords13–40.0127%1 Mar →
fjords13–90.0121%28 Feb →
ancient5–13-0.0429%26 Feb →
mirage4–00.0550%26 Feb →
dust23–13-0.0332%26 Feb →
ancient7–13-0.0616%25 Feb →
dust213–80.0114%25 Feb →
overpass4–13-0.0118%22 Feb →
overpass13–5-0.0316%22 Feb →
overpass13–80.0427%21 Feb →

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 →

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