cheat

cheat — CS2 Stats

76561198819762862[U:1:859497134]Steam profile ↗✓ No bans

1,882Tracked matches59%Win rate2020Tracked since
CSDB Rating6.4 SolidPositional Player
Premier CS Rating21,458Top 50% of 215,386 CSDB-tracked playersPink band · top ~6.9% of ranked players (population est.)
CSDB Leaderboard#64776 of 261550 tracked
FaceitLevel 7 · 1,554 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−486Premier CS Rating · 21,944 → 21,458

Rating over time

Premier CS Rating: 21,458 +740 1 Sept – 14 Nov · 31 days played
17,13822,468peak 22,4681 Sept14 Nov
Faceit ELO: 1,554 +0 1 Sept – 10 Nov · 7 observations
1,5541,554peak 1,5541 Sept10 Nov
22,639Peak Premier in tracked matches
1,554Highest Faceit ELO seen on CSDB
33Days played since 2026-09-01

Faceit ELO

  • At peak — 1,554
  • Next: Level 9 at 1,751 — 197 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-01
  • Level 7 first seen 2026-09-01

Premier CS Rating

  • 1,010 below peak (22,468)
  • +2,064 over 30 days · improving
  • Next: Red band at 25,000 — 3,542 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

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.GGcheatFACEITLevel 7 · 1,554 ELOSTANDINGTop 42.3% of rankedPREMIER21,458 · Pink bandPEAK ELO1,554csdb.gg/stats

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Performance scores

Aim58
Positioning74
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateLWWLWWWWLL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −0.4pp headshot accuracy · −66ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 480ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 491ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 524ms

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 Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim5.8
Utility6.2
Positioning7.4
Opening Duels6.0
Clutch2.8

Effective flashes

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 79% 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

Strengths

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

Counter-strafing. Only 67% 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

Aim5.8
Positioning7.4
Utility6.2
Mechanics3.9
Opening Duels7.3
Win Impact7.9

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time527ms+41ms
first ⅓ avg 485ms → last ⅓ avg 527ms
Headshot accuracy18.0%+1.6%
first ⅓ avg 16.3% → last ⅓ avg 18.0%

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

0.15Best match rating · 13–4 · cache, 28 Oct →
31%Best headshot accuracy · 6–13 · mirage, 3 Nov →
344msFastest reaction time · 13–9 · italy, 24 Oct →
13–4Biggest win · vertigo, 12 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
13–4In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 58% over 12ancientWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB2312–1152%-0.01
dust2C198–1142%-0.01
cacheB136–746%0.00
infernoA127–558%-0.02
nukeA127–558%-0.01
anubisC94–544%0.01
ancientC52–340%0.02
train—30–30%-0.05
vertigo—11–0100%0.10
italy—11–0100%0.11
overpass—10–10%-0.01
fachwerk—10–10%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

795Matches
50%Win rate
1.04Avg K/D
78.3ADR
45%Headshot %

Clutches & streaks

34%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage27851%1.0114.9
Ancient12651%1.1016.3
Dust210144%0.9514.3
Anubis8248%1.0214.9
Nuke7752%1.0916.0
Inferno6450%1.0615.8
Vertigo2450%1.0215.2
Cache1560%1.2716.4

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.

17.8%Headshot accuracy
31.9%Accuracy (enemy spotted)
33.8%Spray accuracy
67.4%Counter-strafing
10.3°Preaim
517msReaction time
66.1%T opening success
52.3%CT opening success
0.70Enemies flashed / flash
4.6%Flash assists
8.73HE damage / grenade
8.64Flashes / match

Recommended for you

Spend your practice time on Ancient

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0524%14 Nov →
dust216–13-0.0020%13 Nov →
dust213–110.0519%13 Nov →
mirage11–13-0.0216%13 Nov →
mirage13–10-0.049%13 Nov →
mirage13–60.0213%12 Nov →
vertigo13–40.1028%12 Nov →
inferno13–70.0120%12 Nov →
ancient9–130.0915%12 Nov →
nuke8–13-0.0213%12 Nov →
mirage13–11-0.0521%11 Nov →
nuke13–70.0129%11 Nov →
dust213–80.0120%10 Nov →
ancient13–100.0118%10 Nov →
mirage16–13-0.0216%9 Nov →
ancient9–13-0.0218%9 Nov →
nuke19–170.0110%8 Nov →
dust213–90.0113%8 Nov →
nuke6–13-0.0322%8 Nov →
anubis4–13-0.0117%7 Nov →
cache4–13-0.0113%7 Nov →
train4–13-0.0718%6 Nov →
mirage12–120.0224%6 Nov →
mirage6–130.0231%3 Nov →
anubis13–90.0415%3 Nov →
inferno13–9-0.039%1 Nov →
mirage11–13-0.0413%1 Nov →
nuke7–13-0.0122%1 Nov →
inferno13–110.0022%1 Nov →
anubis13–100.0315%31 Oct →
nuke13–6-0.0512%31 Oct →
mirage10–130.0424%31 Oct →
inferno13–6-0.0015%30 Oct →
dust21–13-0.0424%30 Oct →
cache16–14-0.0217%30 Oct →
cache13–40.1526%28 Oct →
anubis13–60.0714%28 Oct →
dust210–13-0.0922%26 Oct →
inferno9–130.0222%26 Oct →
dust26–13-0.0523%26 Oct →
italy13–90.1116%24 Oct →
train8–13-0.0510%24 Oct →
inferno13–6-0.0411%21 Oct →
mirage5–130.0328%21 Oct →
cache13–7-0.0215%21 Oct →
nuke13–100.0029%21 Oct →
inferno13–80.0213%21 Oct →
mirage13–8-0.0320%21 Oct →
dust213–60.0030%21 Oct →
inferno5–13-0.0713%20 Oct →
cache10–130.0428%20 Oct →
ancient10–13-0.0217%20 Oct →
mirage13–11-0.0316%20 Oct →
cache13–11-0.0810%17 Oct →
ancient13–40.0323%17 Oct →
anubis9–13-0.0118%17 Oct →
mirage13–7-0.0512%17 Oct →
dust211–130.0226%15 Oct →
dust210–130.0017%15 Oct →
overpass5–13-0.0110%14 Oct →
cache13–11-0.0324%14 Oct →
mirage13–5-0.009%14 Oct →
inferno12–16-0.089%14 Oct →
mirage13–110.0617%14 Oct →
dust213–90.0412%13 Oct →
cache6–130.0117%13 Oct →
anubis13–110.0418%13 Oct →
mirage4–13-0.0231%13 Oct →
inferno13–110.0513%12 Oct →
cache13–60.0423%11 Oct →
nuke13–60.0617%11 Oct →
dust210–13-0.0221%11 Oct →
cache2–13-0.0514%10 Oct →
mirage16–14-0.0122%9 Oct →
cache11–13-0.0125%9 Oct →
mirage1–13-0.106%8 Oct →
mirage6–13-0.0315%8 Oct →
train4–13-0.0212%8 Oct →
anubis10–130.0111%7 Oct →
mirage13–90.0618%6 Oct →
nuke13–100.0113%6 Oct →
dust24–13-0.0823%6 Oct →
inferno8–13-0.0423%6 Oct →
nuke4–13-0.0320%6 Oct →
inferno5–13-0.058%4 Oct →
nuke9–13-0.0317%4 Oct →
anubis12–120.0018%4 Oct →
mirage7–13-0.0311%4 Oct →
dust216–120.0223%3 Oct →
cache6–13-0.0225%3 Oct →
dust212–120.0114%2 Oct →
fachwerk4–13-0.0115%2 Oct →
dust213–8-0.036%2 Oct →
mirage19–150.0117%2 Oct →
anubis8–13-0.0712%2 Oct →
mirage7–13-0.0313%2 Oct →
nuke16–14-0.0218%1 Oct →
dust210–13-0.0111%1 Oct →
dust28–130.0015%1 Oct →
cache12–120.0510%1 Oct →

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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