RealityBait

RealityBait — CS2 Stats

76561198924343136[U:1:964077408]Steam profile ↗✓ No bans

4,195Tracked matches62%Win rate2021Tracked since
CSDB Rating7.0 StrongPositional Player
CSDB Leaderboard#35353 of 225458 tracked
FaceitLevel 9 · 2,207 ELOTop 20.7% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 70 days played since 16 Dec 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 23,347 -1,652 7 Jan13 May · 5 days played
22,72724,999peak 24,9997 Jan13 May
24,999Peak Premier in tracked matches
2,207Highest Faceit ELO seen on CSDB
70Days played since 2025-12-16

Faceit ELO

  • At peak — 2,207
  • Next: 2,500 ELO at 2,500 293 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

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.GGRealityBaitFACEITLevel 9 · 2,207 ELOSTANDINGTop 20.7% of rankedPEAK ELO2,207csdb.gg/stats

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Performance scores

Aim80
Positioning64
Utility49

0–100 skill scores via Leetify.

Recent form

HOT50464Last 10050%Win rateWLWWWWLWWL

Last 10 vs previous 10: +30pp win rate · −0.03 avg rating · −1.4pp headshot accuracy · −6ms 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

  • 41 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 31%
  • Avg reaction 592ms

Last 10

  • 73 · 70% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 30%
  • Avg reaction 599ms

Last 20

  • 1181 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 30%
  • Avg reaction 602ms

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: Positional PlayerPositioning stands above the rest of this profile (+1.5 against its own average).

Aim8.0
Utility4.9
Positioning6.4
Opening Duels4.8
Clutch3.4

Excellent counter-strafing

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 94% playstyle similarity

Most alike: positioning profile, 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

Areas to improve

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

T-side openings. Opening success drops from 55% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 624ms 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

Aim8.0
Positioning6.4
Utility4.9
Mechanics8.6
Opening Duels4.0
Win Impact9.0

Composite 7.0/10 (Strong), 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 -0.02 → last ⅓ avg -0.01
Reaction time633ms−36ms
first ⅓ avg 670ms → last ⅓ avg 633ms
Headshot accuracy29.3%+3.0%
first ⅓ avg 26.3% → last ⅓ avg 29.3%

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 · 13–8 · inferno, 12 Apr
57%Best headshot accuracy · 13–10 · dust2, 21 Mar
438msFastest reaction time · 13–8 · inferno, 10 May
13–0Biggest win · mirage, 6 May

Across the last 100 tracked matches.

Highlights

8Longest win streak
78In matches decided by ≤2 rounds
12Overtime games

Map breakdown

overpassBest map · 80% over 5mirageWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
ancientC25111444%-0.01
nukeB126650%-0.01
anubisC125742%-0.01
infernoA127558%-0.00
mirageD124833%-0.02
dust2A117464%-0.01
overpassS54180%-0.01
vertigo41325%-0.02
cache330100%-0.03
train32167%-0.03
poseidon1010%-0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,020Matches
51%Win rate
1.00Avg K/D
75.3ADR
57%Headshot %

Clutches & streaks

37%1v1 clutch win
18%1v2 clutch win
22Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient80556%1.0616.8
Mirage49448%0.9215.2
Anubis43650%1.0115.9
Vertigo30051%1.0617.3
Inferno28044%0.9214.8
Nuke26852%0.9915.8
Dust218542%0.8914.7
Overpass16251%1.0116.8

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.

29.3%Headshot accuracy
36.1%Accuracy (enemy spotted)
35.5%Spray accuracy
88.7%Counter-strafing
12.0°Preaim
624msReaction time
37.1%T opening success
54.6%CT opening success
0.42Enemies flashed / flash
11.9%Flash assists
11.57HE damage / grenade
5.65Flashes / 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 12.0429° — above the 12° 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 0.4193 — 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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–10-0.0837%11 Sept
ancient11–13-0.0224%3 Sept
ancient13–110.0128%31 Aug
nuke22–18-0.0126%30 Aug
ancient16–12-0.0338%30 Aug
cache13–5-0.0241%9 Jul
dust28–13-0.0620%26 Jun
anubis13–10-0.0128%26 Jun
overpass13–6-0.0835%15 Jun
anubis12–160.0319%14 Jun
nuke8–13-0.0644%12 Jun
inferno14–160.0132%10 Jun
ancient13–80.1035%9 Jun
anubis6–13-0.0225%4 Jun
ancient11–130.0938%3 Jun
nuke9–50.0224%3 Jun
vertigo12–12-0.0627%3 Jun
inferno13–1-0.1025%28 May
ancient13–70.0537%25 May
nuke14–16-0.0324%22 May
dust213–5-0.0348%20 May
ancient13–7-0.0137%20 May
nuke7–13-0.0224%14 May
nuke13–4-0.0230%13 May
inferno16–14-0.0037%13 May
inferno10–13-0.0215%11 May
inferno13–8-0.0419%10 May
dust28–13-0.0331%6 May
mirage13–0-0.010%6 May
mirage13–80.0131%6 May
inferno13–80.0317%5 May
dust213–90.0540%4 May
anubis13–90.0035%4 May
inferno13–70.0335%4 May
overpass13–60.0832%3 May
ancient13–6-0.0423%3 May
anubis13–16-0.0816%3 May
ancient4–13-0.0523%30 Apr
mirage7–13-0.0329%26 Apr
ancient5–13-0.0328%25 Apr
nuke13–8-0.0025%25 Apr
mirage13–9-0.0115%14 Apr
inferno13–80.1330%12 Apr
ancient15–150.0129%11 Apr
dust213–5-0.0240%11 Apr
inferno7–13-0.0427%10 Apr
vertigo6–13-0.0536%9 Apr
vertigo7–130.0346%9 Apr
anubis8–13-0.0248%5 Apr
nuke8–13-0.0034%5 Apr
mirage13–50.0433%4 Apr
vertigo13–40.0148%3 Apr
cache13–20.0040%3 Apr
ancient4–13-0.0728%2 Apr
dust25–13-0.0441%29 Mar
nuke13–100.0043%29 Mar
anubis9–130.0326%27 Mar
dust213–40.0921%26 Mar
ancient13–100.0317%26 Mar
dust213–10-0.0357%21 Mar
anubis6–130.0128%20 Mar
poseidon6–9-0.0840%19 Mar
mirage4–13-0.0136%19 Mar
mirage7–13-0.0911%10 Mar
overpass13–110.0322%9 Mar
mirage12–160.0222%4 Mar
nuke13–110.0126%4 Mar
ancient2–13-0.0729%1 Mar
anubis13–60.0233%21 Feb
ancient7–130.0125%21 Feb
ancient7–130.0034%20 Feb
ancient1–13-0.0613%15 Feb
ancient13–8-0.0412%15 Feb
mirage13–16-0.0029%15 Feb
mirage11–13-0.0229%13 Feb
ancient13–100.0423%10 Feb
nuke11–13-0.0430%9 Feb
anubis16–14-0.0421%26 Jan
overpass13–4-0.0624%22 Jan
overpass12–12-0.0133%17 Jan
anubis13–8-0.0426%16 Jan
ancient5–130.0042%13 Jan
inferno13–110.0325%13 Jan
ancient15–15-0.0230%13 Jan
anubis7–7-0.0422%9 Jan
mirage7–13-0.0533%9 Jan
train13–80.0129%7 Jan
dust213–80.0533%7 Jan
inferno6–13-0.0335%7 Jan
train13–5-0.0123%4 Jan
ancient9–13-0.0431%3 Jan
dust213–6-0.0222%1 Jan
dust28–13-0.0730%1 Jan
ancient6–13-0.1022%27 Dec
nuke5–13-0.0245%24 Dec
ancient13–3-0.0116%22 Dec
train2–13-0.0821%20 Dec
mirage6–13-0.039%19 Dec
ancient13–110.0417%18 Dec
inferno11–13-0.0321%16 Dec

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 →