xo

xo — CS2 Stats

76561198409512306[U:1:449246578]Steam profile ↗✓ No bans

1,771Tracked matches52%Win rate2023Tracked since
CSDB Rating4.9 DevelopingPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (26 days ago). Ranks are recorded once per day this page is viewed.

+42Tracked matches · now 1,771
+3.8ppWin rate · 48.0% → 51.8%

Rating over time

40Days played since 2026-09-01

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim52
Positioning50
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY44–46–10Last 10044%Win rateWWLLWLLLLW

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · −3.2pp headshot accuracy · +22ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 777ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 738ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 727ms

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 (+2 against its own average).

Aim5.2
Utility2.9
Positioning5.0
Opening Duels1.1

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 84% playstyle similarity

Most alike: positioning profile, utility contribution.

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

CT openings. Opening success drops from 57% on T to 36% on CT — first contacts on the defending side are being lost.

Reaction time. 703ms 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

Aim5.2
Positioning5.0
Utility2.9
Mechanics6.4
Opening Duels4.1
Win Impact5.6

Composite 4.9/10 (Developing), 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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time709ms−1ms
first ⅓ avg 710ms → last ⅓ avg 709ms
Headshot accuracy15.2%−1.3%
first ⅓ avg 16.6% → last ⅓ avg 15.2%

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

0.11Best match rating · 13–4 · inferno, 8 Oct →
37%Best headshot accuracy · 7–13 · inferno, 24 Sept →
484msFastest reaction time · 11–13 · inferno, 12 Sept →
13–3Biggest win · mirage, 23 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
3–10In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 63% over 8anubisWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
dust2D196–1332%-0.03
cacheC167–944%-0.04
mirageB157–847%-0.06
infernoB158–753%-0.02
anubisD112–918%-0.04
ancientA95–456%-0.05
nukeA85–363%-0.04
vertigoA74–357%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.4%Headshot accuracy
34.7%Accuracy (enemy spotted)
38.7%Spray accuracy
79.0%Counter-strafing
11.2°Preaim
703msReaction time
56.6%T opening success
36.3%CT opening success
0.36Enemies flashed / flash
5.9%Flash assists
5.84HE damage / grenade
3.91Flashes / 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. 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 702.6284ms — above the 700ms 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 0.3553 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.3233% — below the 40% mark we flag

Spend your practice time on Anubis

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–8-0.0414%30 Oct →
mirage13–6-0.0717%30 Oct →
nuke6–13-0.044%27 Oct →
dust25–13-0.0620%27 Oct →
nuke13–10-0.0215%26 Oct →
inferno5–13-0.0717%26 Oct →
mirage10–13-0.029%26 Oct →
ancient7–13-0.0917%25 Oct →
anubis5–13-0.0916%25 Oct →
cache13–8-0.048%25 Oct →
ancient6–13-0.0715%24 Oct →
inferno13–9-0.0414%24 Oct →
cache8–13-0.0111%23 Oct →
mirage13–3-0.0614%23 Oct →
dust213–70.039%23 Oct →
nuke13–8-0.0131%22 Oct →
dust29–20.1024%22 Oct →
cache12–12-0.0625%22 Oct →
ancient13–30.0316%22 Oct →
inferno13–3-0.059%22 Oct →
mirage13–8-0.0111%20 Oct →
inferno13–4-0.0513%20 Oct →
dust28–11-0.0422%20 Oct →
ancient13–5-0.0510%19 Oct →
mirage8–13-0.0917%19 Oct →
anubis12–12-0.0220%19 Oct →
nuke3–13-0.1114%18 Oct →
anubis9–13-0.096%18 Oct →
vertigo12–120.0121%17 Oct →
anubis11–13-0.0021%16 Oct →
dust211–13-0.069%16 Oct →
ancient13–9-0.1121%16 Oct →
anubis3–13-0.0411%12 Oct →
mirage13–6-0.019%12 Oct →
nuke7–13-0.066%12 Oct →
cache6–13-0.0711%9 Oct →
dust26–13-0.066%9 Oct →
cache2–13-0.038%8 Oct →
inferno13–40.1125%8 Oct →
mirage7–13-0.1314%4 Oct →
vertigo13–7-0.0817%4 Oct →
dust213–8-0.0521%4 Oct →
mirage1–13-0.1011%3 Oct →
cache7–13-0.057%3 Oct →
vertigo12–12-0.0913%3 Oct →
dust212–12-0.009%3 Oct →
anubis7–130.0124%2 Oct →
cache2–13-0.0021%2 Oct →
inferno5–13-0.0812%2 Oct →
mirage13–5-0.0316%2 Oct →
dust211–13-0.0312%2 Oct →
inferno11–13-0.0816%30 Sept →
vertigo13–70.0517%30 Sept →
ancient13–5-0.0214%28 Sept →
inferno2–13-0.0420%28 Sept →
anubis12–12-0.1223%28 Sept →
cache13–8-0.0517%28 Sept →
mirage12–12-0.1015%28 Sept →
cache13–6-0.0312%27 Sept →
vertigo13–8-0.0327%27 Sept →
dust213–80.0417%27 Sept →
inferno13–60.0824%26 Sept →
dust23–13-0.0524%26 Sept →
nuke13–11-0.088%26 Sept →
inferno7–130.0137%24 Sept →
mirage7–13-0.0822%23 Sept →
cache11–13-0.0210%21 Sept →
inferno13–6-0.0510%21 Sept →
anubis13–10-0.0311%20 Sept →
mirage9–130.0223%19 Sept →
vertigo13–100.0214%19 Sept →
inferno12–12-0.0224%18 Sept →
dust211–13-0.0313%18 Sept →
cache13–4-0.0216%15 Sept →
dust24–13-0.0511%14 Sept →
cache13–10-0.0320%13 Sept →
anubis9–13-0.057%12 Sept →
dust213–4-0.0518%12 Sept →
inferno11–13-0.0020%12 Sept →
mirage13–6-0.0919%11 Sept →
cache13–10-0.0218%10 Sept →
dust212–12-0.0830%10 Sept →
inferno13–5-0.0910%10 Sept →
nuke6–10.0130%10 Sept →
anubis13–10-0.0216%9 Sept →
dust212–120.0318%9 Sept →
nuke13–11-0.0426%8 Sept →
dust210–13-0.0023%8 Sept →
inferno13–70.0311%7 Sept →
cache11–13-0.0115%3 Sept →
dust213–10-0.069%3 Sept →
ancient13–11-0.066%3 Sept →
anubis10–13-0.0116%2 Sept →
ancient8–13-0.0422%2 Sept →
cache2–13-0.0816%2 Sept →
dust211–13-0.0613%2 Sept →
mirage6–13-0.089%2 Sept →
ancient10–13-0.0313%1 Sept →
vertigo11–13-0.0118%1 Sept →
mirage13–50.0219%1 Sept →

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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