raner

raner — CS2 Stats

SK76561198881428229[U:1:921162501]Steam profile ↗✓ No bans

1,116Tracked matches50%Win rate2021Tracked since
CSDB Rating5.6 SolidPositional Player
Premier CS Rating9,891Light Blue band · top ~55.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+14Premier CS Rating · 9,877 → 9,891

Rating over time

Premier CS Rating: 9,891 +1,820 18 Sept – 10 Oct · 19 days played
7,7589,999peak 9,99918 Sept10 Oct
10,111Peak Premier in tracked matches
19Days played since 2026-09-18

Premier CS Rating

  • 108 below peak (9,999)
  • Next: Blue band at 10,000 — 109 to go
  • Reached: Light Blue band

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

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CSDB.GGranerPREMIER9,891 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim72
Positioning61
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY48–52Last 10048%Win rateLLWLLWLLWW

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · +8.1pp headshot accuracy · −48ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 636ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 620ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 645ms

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 (+1.3 against its own average).

Aim7.2
Utility4.3
Positioning6.1
Opening Duels4.0

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

donk

Plays most like donk 95% 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

Strengths

T openings. 70% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 70% on T to 47% on CT — first contacts on the defending side are being lost.

Reaction time. 644ms 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

Aim7.2
Positioning6.1
Utility4.3
Mechanics6.6
Opening Duels7.2
Win Impact5.0

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time647ms−23ms
first ⅓ avg 670ms → last ⅓ avg 647ms
Headshot accuracy22.4%−1.0%
first ⅓ avg 23.5% → last ⅓ avg 22.4%

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

0.12Best match rating · 13–4 · cache, 3 Oct →
44%Best headshot accuracy · 13–11 · dust2, 5 Oct →
500msFastest reaction time · 9–3 · inferno, 4 Oct →
13–1Biggest win · inferno, 8 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
6–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 63% over 27mirageWeakest map · 32% over 19
MapGradePlayedRecordWin rateAvg rating
ancientA2717–1063%0.02
infernoC229–1341%0.01
mirageD196–1332%0.00
dust2B1910–953%0.02
anubisD93–633%-0.01
nuke—21–150%-0.03
cache—22–0100%0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (32% over 19). Start with the 5 essential Mirage 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.

23.0%Headshot accuracy
33.7%Accuracy (enemy spotted)
30.8%Spray accuracy
79.9%Counter-strafing
7.4°Preaim
644msReaction time
70.0%T opening success
47.2%CT opening success
0.74Enemies flashed / flash
3.5%Flash assists
11.13HE damage / grenade
8.12Flashes / match

Recommended for you

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.

32% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient5–130.0623%10 Oct →
inferno7–13-0.0730%10 Oct →
ancient13–30.0019%10 Oct →
ancient10–130.0221%9 Oct →
mirage13–160.0134%9 Oct →
ancient13–70.0133%9 Oct →
anubis7–130.0122%9 Oct →
dust29–130.0224%9 Oct →
inferno13–90.0326%9 Oct →
ancient13–100.0431%8 Oct →
mirage9–13-0.0624%8 Oct →
inferno13–100.0226%8 Oct →
ancient13–11-0.0324%8 Oct →
inferno13–10.038%8 Oct →
dust213–60.028%8 Oct →
anubis11–130.0129%7 Oct →
mirage5–130.0115%7 Oct →
inferno5–130.1025%7 Oct →
mirage13–20.0310%7 Oct →
inferno8–13-0.0216%7 Oct →
dust213–50.0440%7 Oct →
mirage13–10-0.0224%7 Oct →
inferno13–30.0015%7 Oct →
mirage12–100.0618%6 Oct →
mirage2–13-0.0421%6 Oct →
inferno16–120.0516%6 Oct →
ancient13–90.1019%6 Oct →
ancient4–130.0326%6 Oct →
inferno0–13-0.0233%6 Oct →
ancient6–13-0.0020%6 Oct →
anubis13–80.0818%5 Oct →
nuke3–13-0.0321%5 Oct →
mirage13–16-0.0123%5 Oct →
dust213–110.0344%5 Oct →
ancient13–90.0720%5 Oct →
mirage5–130.1015%5 Oct →
ancient13–60.0915%4 Oct →
anubis6–13-0.0116%4 Oct →
ancient11–13-0.0217%4 Oct →
inferno7–130.0222%4 Oct →
dust22–13-0.0226%4 Oct →
ancient11–130.0228%4 Oct →
inferno6–9-0.0724%4 Oct →
inferno9–30.0914%4 Oct →
inferno6–9-0.0519%4 Oct →
mirage13–110.1029%3 Oct →
dust213–50.0625%3 Oct →
dust213–100.000%3 Oct →
ancient0–80.000%3 Oct →
inferno5–130.0631%3 Oct →
dust28–130.0529%3 Oct →
ancient13–20.0219%3 Oct →
cache13–40.1222%3 Oct →
anubis14–160.0020%2 Oct →
anubis13–80.0328%2 Oct →
ancient13–70.0112%2 Oct →
ancient7–130.0120%2 Oct →
ancient13–10-0.0122%1 Oct →
dust213–70.1038%29 Sept →
mirage16–13-0.0119%29 Sept →
inferno9–13-0.0121%25 Sept →
inferno8–130.0316%25 Sept →
mirage10–13-0.0313%25 Sept →
inferno9–13-0.0437%24 Sept →
mirage7–13-0.0614%24 Sept →
cache13–80.0320%24 Sept →
nuke13–9-0.0419%24 Sept →
dust211–13-0.0113%24 Sept →
ancient13–9-0.0313%24 Sept →
mirage3–130.0224%23 Sept →
anubis2–13-0.0119%23 Sept →
mirage8–130.0531%23 Sept →
ancient13–60.0420%23 Sept →
mirage13–3-0.0116%23 Sept →
ancient11–130.0211%23 Sept →
inferno13–2-0.0010%23 Sept →
ancient13–40.0519%23 Sept →
dust29–130.0336%22 Sept →
mirage3–130.0016%22 Sept →
dust213–100.0630%21 Sept →
dust213–110.0241%21 Sept →
dust210–13-0.0223%20 Sept →
anubis13–50.0217%20 Sept →
dust213–5-0.0138%20 Sept →
mirage9–13-0.0433%20 Sept →
inferno8–13-0.0233%20 Sept →
dust210–13-0.0432%20 Sept →
anubis5–13-0.220%20 Sept →
ancient13–11-0.0227%20 Sept →
ancient13–50.0724%20 Sept →
dust27–130.0229%20 Sept →
inferno16–130.0538%19 Sept →
mirage7–13-0.0519%19 Sept →
inferno9–13-0.0114%19 Sept →
ancient9–130.0824%19 Sept →
ancient13–8-0.0120%19 Sept →
dust213–6-0.0317%19 Sept →
dust29–13-0.0228%19 Sept →
ancient13–80.0020%18 Sept →
inferno13–3-0.0343%18 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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