Rage

Rage — CS2 Stats

DK76561199083308593[U:1:1123042865]Steam profile ↗✓ No bans

442Tracked matches30%Win rate2024Tracked since
CSDB Rating1.8 LearningSupport
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 442 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. 29 days played since 30 Oct 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 1,000 -264 30 Oct12 Jan · 9 days played
1,0001,685peak 1,68530 Oct12 Jan
1,685Peak Premier in tracked matches
742Highest Faceit ELO seen on CSDB
29Days played since 2025-10-30

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.

Share this profile

CSDB.GGRageFACEITLevel 2STANDINGTop 97.9% of rankedPEAK ELO742csdb.gg/stats

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Performance scores

Aim15
Positioning19
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY24733Last 10024%Win rateLWWLLLWWLL

Last 10 vs previous 10: +10pp win rate · +0.05 avg rating · −12.9pp headshot accuracy · −20ms 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

  • 23 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 733ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 9%
  • Avg reaction 700ms

Last 20

  • 713 · 35% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 15%
  • Avg reaction 710ms

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 (+1.9 against its own average).

Aim1.5
Utility3.1
Positioning1.9
Opening Duels0.0
Clutch0.0

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

jL

Plays most like jL 71% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 703ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.5
Positioning1.9
Utility3.1
Mechanics3.4
Opening Duels0.0
Win Impact0.0

Composite 1.8/10 (Learning), 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-0.06+0.01
first ⅓ avg -0.08 → last ⅓ avg -0.06
Reaction time701ms−61ms
first ⅓ avg 763ms → last ⅓ avg 701ms
Headshot accuracy12.8%+1.4%
first ⅓ avg 11.4% → last ⅓ avg 12.8%

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

0.02Best match rating · 13–5 · nuke, 29 Aug
100%Best headshot accuracy · 13–9 · inferno, 30 Jul
484msFastest reaction time · 8–13 · ancient, 4 Dec
13–2Biggest win · overpass, 25 Dec

Across the last 100 tracked matches.

Highlights

2Longest win streak
15In matches decided by ≤2 rounds
3Overtime games

Map breakdown

trainBest map · 40% over 10vertigoWeakest map · 13% over 15
MapGradePlayedRecordWin rateAvg rating
nukeD2161529%-0.06
vertigoD1521313%-0.07
ancientD1531220%-0.08
infernoD1541127%-0.08
trainC104640%-0.07
anubisD81713%-0.11
overpassD71614%-0.07
golden31233%-0.06
cache21150%-0.08
mirage2020%-0.04
dust221150%-0.03

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (13% over 15). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8Matches
12%Win rate
0.40Avg K/D
42.4ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
33%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient40%0.408.8
Inferno333%0.417.7
Train10%0.408.0

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.

14.2%Headshot accuracy
26.4%Accuracy (enemy spotted)
34.0%Spray accuracy
65.2%Counter-strafing
15.2°Preaim
703msReaction time
6.5%T opening success
15.1%CT opening success
0.30Enemies flashed / flash
4.6%Flash assists
10.41HE damage / grenade
2.07Flashes / 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 15.1751° — above the 12° mark we flag

    Aim Training
  2. 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 14.2361% — below the 15% mark we flag

    Aim Training
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 703.4531ms — above the 700ms mark we flag

    Aim Training
Spend your practice time on Vertigo

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

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

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo3–13-0.1211%12 Sept
cache13–8-0.037%29 Aug
nuke13–50.0218%29 Aug
ancient7–13-0.0414%29 Aug
mirage6–13-0.038%29 Aug
anubis8–13-0.094%29 Aug
inferno13–7-0.079%14 Aug
ancient13–4-0.017%14 Aug
train0–8-0.020%7 Aug
inferno3–13-0.0710%7 Aug
cache5–13-0.1320%7 Aug
vertigo3–13-0.110%7 Aug
ancient16–12-0.058%7 Aug
nuke13–10-0.0612%7 Aug
nuke11–13-0.0612%7 Aug
ancient7–13-0.085%7 Aug
train5–13-0.1511%30 Jul
ancient10–13-0.1029%30 Jul
inferno13–9-0.09100%30 Jul
anubis9–13-0.0820%30 Jul
anubis10–13-0.1017%30 Jul
nuke7–13-0.038%30 Jan
inferno3–13-0.110%30 Jan
nuke1–13-0.0513%30 Jan
nuke4–12-0.064%14 Jan
ancient4–13-0.0811%12 Jan
dust213–4-0.0411%12 Jan
nuke13–8-0.049%12 Jan
vertigo3–13-0.063%12 Jan
inferno3–13-0.0818%12 Jan
anubis7–13-0.0811%10 Jan
dust25–13-0.018%10 Jan
vertigo13–5-0.007%10 Jan
mirage11–13-0.049%10 Jan
golden2–13-0.073%10 Jan
nuke11–13-0.088%10 Jan
vertigo5–13-0.110%9 Jan
nuke3–13-0.116%9 Jan
ancient3–13-0.0919%7 Jan
inferno6–13-0.1217%7 Jan
nuke13–10-0.0718%6 Jan
overpass5–13-0.038%6 Jan
train13–8-0.039%4 Jan
train1–13-0.1217%4 Jan
train13–5-0.0316%3 Jan
train7–13-0.025%3 Jan
ancient1–13-0.070%3 Jan
inferno4–13-0.0614%3 Jan
vertigo6–13-0.085%30 Dec
overpass9–13-0.0821%30 Dec
inferno6–13-0.085%30 Dec
nuke13–10-0.0811%25 Dec
vertigo13–8-0.058%25 Dec
ancient8–13-0.1216%25 Dec
nuke10–13-0.0815%25 Dec
overpass13–20.0014%25 Dec
anubis12–12-0.1012%25 Dec
vertigo11–13-0.0417%21 Dec
overpass5–13-0.080%19 Dec
vertigo1–13-0.1010%19 Dec
ancient8–13-0.0824%19 Dec
train4–13-0.1210%19 Dec
anubis13–7-0.115%12 Dec
nuke4–13-0.060%12 Dec
inferno2–13-0.0340%11 Dec
nuke5–13-0.1016%11 Dec
vertigo3–13-0.0613%11 Dec
train13–10-0.1213%11 Dec
vertigo8–13-0.107%5 Dec
ancient16–13-0.0712%5 Dec
inferno13–10-0.0110%5 Dec
vertigo3–9-0.1233%5 Dec
inferno13–7-0.0713%4 Dec
ancient4–13-0.097%4 Dec
ancient8–13-0.0713%4 Dec
nuke5–13-0.068%4 Dec
nuke6–13-0.049%1 Dec
inferno3–13-0.130%28 Nov
anubis2–13-0.210%28 Nov
inferno0–13-0.1031%28 Nov
overpass1–13-0.130%28 Nov
nuke13–10-0.0722%28 Nov
vertigo1–13-0.0113%19 Nov
nuke12–12-0.0420%19 Nov
golden5–13-0.053%19 Nov
inferno5–13-0.070%19 Nov
vertigo11–13-0.1420%14 Nov
ancient9–13-0.137%14 Nov
overpass1–13-0.080%14 Nov
vertigo6–13-0.028%14 Nov
anubis3–13-0.0915%14 Nov
train7–13-0.089%14 Nov
golden13–8-0.0612%14 Nov
nuke7–13-0.0416%14 Nov
inferno12–12-0.099%14 Nov
nuke10–13-0.0415%4 Nov
train13–11-0.0617%31 Oct
ancient6–13-0.0714%31 Oct
nuke4–13-0.029%31 Oct
overpass13–16-0.1013%30 Oct

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 →