traps

traps — CS2 Stats

CI76561199154729189[U:1:1194463461]Steam profile ↗✓ No bans

1,272Tracked matches53%Win rate2022Tracked since
CSDB Rating7.0 StrongPositional Player
Premier CS Rating24,999Top 25% of 215,248 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)
CSDB Leaderboard#22949 of 261493 tracked
FaceitLevel 10 · 2,765 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,999 +505 14 Oct – 11 Nov · 21 days played
23,75125,110peak 25,11014 Oct11 Nov
Faceit ELO: 2,765 +0 1 Sept – 23 Sept · 6 observations
2,7652,765peak 2,7651 Sept23 Sept
25,110Peak Premier in tracked matches
2,765Highest Faceit ELO seen on CSDB
57Days played since 2026-06-25

Faceit ELO

  • At peak — 2,765
  • Next: 3,000 ELO at 3,000 — 235 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-01
  • Level 10 first seen 2026-09-01

Premier CS Rating

  • 111 below peak (25,110)
  • +505 over 30 days · improving
  • Next: Red band at 25,000 — 1 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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.GGtrapsFACEITLevel 10 · 2,765 ELOSTANDINGTop 12.4% of rankedPREMIER24,999 · Pink bandPEAK ELO2,765csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim82
Positioning66
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY53–42–5Last 10053%Win rateWLWLLWWWWL

Last 10 vs previous 10: 0pp win rate · −0.04 avg rating · −0.6pp headshot accuracy · +62ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 667ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 627ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 597ms

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).

Aim8.2
Utility6.1
Positioning6.6
Opening Duels2.4
Clutch4.2

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 91% playstyle similarity

Most alike: utility contribution, 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

Reaction time. 589ms 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

Aim8.2
Positioning6.6
Utility6.1
Mechanics7.6
Opening Duels4.5
Win Impact6.1

Composite 7.0/10 (Strong), 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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time592ms+21ms
first ⅓ avg 571ms → last ⅓ avg 592ms
Headshot accuracy23.0%+0.1%
first ⅓ avg 22.9% → last ⅓ avg 23.0%

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

0.13Best match rating · 13–6 · nuke, 2 Nov →
55%Best headshot accuracy · 0–11 · cache, 9 Sept →
414msFastest reaction time · 9–13 · mirage, 23 Oct →
13–0Biggest win · anubis, 22 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–4In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 75% over 12ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB4121–2051%0.01
nukeB136–746%0.00
dust2S129–375%0.02
cacheA106–460%0.01
anubisS107–370%0.01
ancientD72–529%0.00
train—30–30%-0.00
inferno—22–0100%-0.00
rush_001—20–20%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

992Matches
52%Win rate
1.27Avg K/D
89.4ADR
49%Headshot %

Clutches & streaks

41%1v1 clutch win
28%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage33651%1.3018.2
Anubis28356%1.3018.6
Dust212757%1.2617.9
Nuke10448%1.2718.6
Ancient8541%1.1516.9
Inferno3238%1.1417.3
Overpass862%1.3420.0
Vertigo729%0.8715.3

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.

21.6%Headshot accuracy
33.9%Accuracy (enemy spotted)
41.0%Spray accuracy
84.1%Counter-strafing
8.2°Preaim
589msReaction time
54.6%T opening success
41.2%CT opening success
0.62Enemies flashed / flash
7.6%Flash assists
13.20HE damage / grenade
9.69Flashes / 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–7-0.0131%11 Nov →
mirage7–13-0.047%9 Nov →
dust213–80.0015%8 Nov →
cache2–13-0.0724%6 Nov →
dust29–13-0.0330%6 Nov →
mirage13–80.0323%4 Nov →
anubis16–140.0119%4 Nov →
mirage13–30.0426%4 Nov →
cache13–90.0431%3 Nov →
nuke5–13-0.0725%3 Nov →
nuke13–60.1317%2 Nov →
nuke10–13-0.0233%1 Nov →
dust213–70.0327%31 Oct →
dust213–30.1224%31 Oct →
mirage8–13-0.0518%30 Oct →
mirage13–10.0925%30 Oct →
dust213–10-0.0121%30 Oct →
nuke5–13-0.0410%28 Oct →
dust213–70.0826%28 Oct →
nuke8–13-0.0035%28 Oct →
anubis13–80.0517%27 Oct →
mirage5–13-0.1211%27 Oct →
mirage13–100.0419%25 Oct →
inferno13–100.0114%25 Oct →
mirage1–130.0216%25 Oct →
mirage0–100.0135%25 Oct →
mirage13–90.0417%24 Oct →
ancient5–130.0421%24 Oct →
mirage9–130.0819%23 Oct →
ancient14–16-0.0119%23 Oct →
anubis13–00.1030%22 Oct →
nuke13–10-0.0448%21 Oct →
dust211–13-0.0324%17 Oct →
anubis13–7-0.0014%16 Oct →
cache10–13-0.0422%16 Oct →
nuke8–13-0.0323%15 Oct →
mirage13–60.0625%15 Oct →
nuke7–130.0216%15 Oct →
anubis7–13-0.0331%14 Oct →
mirage13–60.0126%14 Oct →
nuke3–130.0630%13 Oct →
ancient13–70.0126%13 Oct →
nuke13–100.0618%12 Oct →
anubis13–60.0414%12 Oct →
anubis15–15-0.0523%12 Oct →
anubis13–5-0.0115%12 Oct →
cache13–50.0929%9 Oct →
train9–130.0117%7 Oct →
train8–13-0.0120%7 Oct →
mirage13–40.0521%7 Oct →
rush_0017–8-0.0124%2 Oct →
rush_0017–80.0412%2 Oct →
mirage13–80.0416%30 Sept →
mirage12–160.0432%30 Sept →
cache13–80.0023%29 Sept →
mirage13–70.0123%28 Sept →
mirage1–5-0.0925%27 Sept →
ancient3–13-0.0647%27 Sept →
anubis13–110.0011%17 Sept →
nuke13–11-0.0416%16 Sept →
dust213–11-0.0220%15 Sept →
mirage13–110.0113%9 Sept →
cache0–11-0.0055%9 Sept →
ancient2–13-0.0820%9 Sept →
dust213–110.0426%8 Sept →
nuke13–100.0519%7 Sept →
dust213–8-0.0023%6 Sept →
ancient7–130.1118%4 Sept →
mirage13–50.0429%2 Sept →
mirage13–70.0914%2 Sept →
mirage13–100.0422%2 Sept →
anubis0–11-0.0322%2 Sept →
mirage8–130.0213%2 Sept →
mirage13–70.1131%26 Aug →
nuke13–5-0.0228%26 Aug →
mirage12–120.1038%19 Aug →
mirage4–13-0.0850%19 Aug →
mirage12–12-0.0319%16 Aug →
mirage13–5-0.0321%16 Aug →
dust26–13-0.0323%15 Aug →
train12–12-0.0032%15 Aug →
mirage13–4-0.1120%10 Aug →
mirage13–40.0825%7 Aug →
mirage10–130.0326%30 Jul →
mirage0–13-0.070%26 Jul →
cache6–13-0.0024%21 Jul →
ancient13–2-0.0120%14 Jul →
mirage0–5-0.120%14 Jul →
mirage13–30.0821%10 Jul →
cache13–11-0.0320%9 Jul →
mirage13–30.0121%3 Jul →
mirage3–130.0128%2 Jul →
cache13–90.0423%1 Jul →
cache13–80.0728%1 Jul →
mirage8–13-0.0320%30 Jun →
mirage7–130.0521%30 Jun →
mirage8–130.0425%29 Jun →
mirage13–7-0.0219%29 Jun →
dust213–110.1030%25 Jun →
mirage12–120.0127%25 Jun →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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