r2

r2 — CS2 Stats

FI76561198122359123[U:1:162093395]Steam profile ↗✓ No bans

985Tracked matches38%Win rate2020Tracked since
CSDB Rating3.1 LearningSupport
Premier CS Rating11,332Blue band · top ~47.8% of ranked players (population est.)
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 May 2026 (180 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: 11,332 -313 9 Jan – 8 May · 5 days played
11,33212,240peak 12,2409 Jan8 May
12,240Peak Premier in tracked matches
27Days played since 2025-08-02

Premier CS Rating

  • 908 below peak (12,240)
  • Next: Purple band at 15,000 — 3,668 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGr2PREMIER11,332 · Blue bandcsdb.gg/stats

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Performance scores

Aim30
Positioning34
Utility61

0–100 skill scores via Leetify.

Recent form

COLD37–58–5Last 10037%Win rateLLLLLWLWWL

Last 10 vs previous 10: −20pp win rate · −0.05 avg rating · +2.6pp headshot accuracy · −10ms reaction

Win rate down 20pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 603ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 616ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 621ms

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: Support — Utility contribution stands above the rest of this profile (+3.7 against its own average).

Aim3.0
Utility6.1
Positioning3.4
Opening Duels0.0
Clutch0.0

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

Twistzz

Plays most like Twistzz 58% 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

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 636ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim3.0
Positioning3.4
Utility6.1
Mechanics4.4
Opening Duels0.0
Win Impact1.0

Composite 3.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time639ms−38ms
first ⅓ avg 677ms → last ⅓ avg 639ms
Headshot accuracy14.6%−1.9%
first ⅓ avg 16.4% → last ⅓ avg 14.6%

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

0.17Best match rating · 13–2 · cache, 4 May →
67%Best headshot accuracy · 5–3 · inferno, 10 Sept →
469msFastest reaction time · 13–3 · inferno, 24 Apr →
13–2Biggest win · cache, 4 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L5Current streak
5–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 59% over 17ancientWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
nukeA1710–759%-0.01
ancientD154–1127%-0.03
mirageD155–1033%-0.02
dust2D155–1033%-0.01
infernoB136–746%-0.03
overpassD72–529%-0.01
trainC52–340%0.01
anubis—31–233%-0.04
cache—31–233%0.04
jura—31–233%0.02
alpine—10–10%-0.14
rooftop—10–10%-0.02
vertigo—10–10%-0.11
brewery—10–10%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

159Matches
48%Win rate
0.89Avg K/D
78.0ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
25%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2843%0.9313.4
Nuke1968%1.1214.5
Anubis1839%1.0713.8
Vertigo1338%0.9313.5
Inferno1060%0.9613.4
Ancient838%0.8814.9
Dust2650%0.7412.0
Cache10%0.8815.0

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.

15.2%Headshot accuracy
26.6%Accuracy (enemy spotted)
28.2%Spray accuracy
70.0%Counter-strafing
11.4°Preaim
636msReaction time
17.2%T opening success
26.6%CT opening success
0.78Enemies flashed / flash
10.3%Flash assists
6.20HE damage / grenade
8.16Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 17.2303% — below the 40% mark we flag

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.

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient7–13-0.0614%8 May →
nuke11–13-0.0211%8 May →
inferno11–130.0317%8 May →
anubis1–13-0.097%8 May →
mirage7–13-0.0115%8 May →
anubis13–80.0315%8 May →
ancient15–19-0.0415%8 May →
inferno13–9-0.0723%6 May →
ancient13–11-0.0412%6 May →
cache4–130.0126%5 May →
cache10–13-0.0519%5 May →
cache13–20.170%4 May →
mirage12–16-0.0210%26 Apr →
ancient9–13-0.0520%26 Apr →
nuke13–80.005%26 Apr →
dust213–50.0321%26 Apr →
inferno13–30.065%24 Apr →
nuke13–30.0510%24 Apr →
inferno15–150.0516%23 Apr →
dust210–13-0.0422%23 Apr →
dust211–13-0.0123%21 Apr →
mirage7–130.0216%21 Apr →
mirage2–13-0.0619%21 Apr →
nuke6–13-0.0212%19 Apr →
dust23–13-0.0122%19 Apr →
alpine7–13-0.1412%11 Apr →
mirage13–2-0.0014%11 Apr →
inferno16–13-0.0518%11 Apr →
nuke13–20.0311%8 Feb →
ancient3–13-0.0417%6 Feb →
nuke13–80.023%6 Feb →
dust213–16-0.0317%6 Feb →
inferno7–13-0.0413%6 Feb →
mirage1–13-0.0756%6 Feb →
anubis6–13-0.0715%6 Feb →
nuke13–20.0523%6 Feb →
ancient13–90.0313%6 Feb →
ancient11–13-0.0414%16 Jan →
overpass9–13-0.0326%16 Jan →
nuke6–13-0.0416%16 Jan →
dust213–100.0435%16 Jan →
mirage13–11-0.0618%12 Jan →
ancient8–13-0.0111%9 Jan →
dust211–130.0825%9 Jan →
mirage13–110.0120%9 Jan →
ancient16–130.0016%9 Jan →
overpass4–13-0.0530%9 Jan →
nuke13–9-0.0212%9 Jan →
inferno13–90.0421%9 Jan →
overpass10–13-0.0616%14 Dec →
nuke2–70.0125%14 Dec →
overpass9–30.1214%14 Dec →
rooftop3–9-0.0221%14 Dec →
vertigo5–9-0.1118%14 Dec →
nuke3–9-0.216%14 Dec →
inferno6–90.0428%14 Dec →
ancient12–12-0.0321%25 Nov →
train13–30.0510%11 Oct →
mirage13–90.0215%11 Oct →
dust213–90.0119%11 Oct →
overpass12–12-0.0411%11 Oct →
mirage13–10-0.0522%10 Oct →
dust213–30.0313%10 Oct →
mirage7–130.0323%29 Sept →
nuke13–8-0.0027%29 Sept →
nuke5–13-0.0320%26 Sept →
overpass8–13-0.0619%26 Sept →
inferno13–11-0.067%26 Sept →
dust210–13-0.009%26 Sept →
ancient9–13-0.0920%14 Sept →
dust210–13-0.0315%14 Sept →
ancient3–13-0.0719%14 Sept →
ancient8–13-0.0712%11 Sept →
dust213–6-0.0113%11 Sept →
mirage12–120.0116%11 Sept →
train13–100.0117%11 Sept →
train8–130.0013%10 Sept →
dust212–12-0.0433%10 Sept →
inferno5–3-0.0767%10 Sept →
mirage8–13-0.069%10 Sept →
ancient13–5-0.0326%10 Sept →
nuke13–90.0122%10 Sept →
dust210–13-0.0511%6 Sept →
ancient6–130.0328%6 Sept →
mirage5–13-0.0613%6 Sept →
inferno11–13-0.060%6 Sept →
train10–130.0614%3 Aug →
nuke13–5-0.0226%3 Aug →
overpass13–80.0320%3 Aug →
jura10–130.0018%3 Aug →
jura5–00.070%3 Aug →
mirage8–13-0.0616%3 Aug →
dust24–13-0.0414%3 Aug →
jura8–13-0.0310%3 Aug →
nuke13–80.019%2 Aug →
nuke10–13-0.0716%2 Aug →
train7–13-0.0810%2 Aug →
inferno6–13-0.057%2 Aug →
brewery6–9-0.0312%2 Aug →
inferno1–9-0.1523%2 Aug →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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