Roland Gift — CS2 Stats

76561198019979743[U:1:59714015]

335Tracked matches50%Win rate2021Tracked since
CSDB Rating4.0 Developing
Premier CS Rating17,529Purple band · top ~18.3% of ranked players (population est.)
CSDB Leaderboard#24263 of 47596 tracked
Ladder ranks via Leetify

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CSDB.GGRoland GiftPREMIER17,529 · Purple bandcsdb.gg/stats

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Performance scores

Aim30
Positioning52
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY44506Last 10044%Win rateWTLLWLLWWL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim3.0
Aggression6.7
Utility2.7
Positioning5.2
Opening Duels3.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

ropz

Plays most like ropz 78% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 52% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 617ms 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

Aim3.0
Positioning5.2
Utility2.7
Mechanics5.4
Opening Duels3.4
Win Impact5.0

Composite 4.0/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time618ms−21ms
first ⅓ avg 639ms → last ⅓ avg 618ms
Headshot accuracy14.3%+2.2%
first ⅓ avg 12.0% → last ⅓ avg 14.3%

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.

Highlights

0.09Best rating — nuke 13–4
130Biggest win — ancient
5Longest win streak
49In matches decided by ≤2 rounds
19Overtime games

Map breakdown

overpassBest map · 58% over 12infernoWeakest map · 26% over 19
MapGradePlayedRecordWin rateAvg rating
mirageB27131448%-0.02
infernoD1951426%-0.00
dust2C1981142%-0.01
overpassA127558%-0.01
nukeC114736%-0.00
cache43175%-0.02
ancient32167%0.01
anubis32167%0.01
train2020%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (26% over 19). Start with the 6 essential Inferno 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.

14.3%Headshot accuracy
27.8%Accuracy (enemy spotted)
26.7%Spray accuracy
74.5%Counter-strafing
12.8°Preaim
617msReaction time
35.1%T opening success
52.1%CT opening success
0.36Enemies flashed / flash
1.1%Flash assists
8.51HE damage / grenade
2.44Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.7669° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.2898% — below the 15% mark we flag

    Aim Training
  3. 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 0.3568 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Inferno

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

26% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–8-0.017%3 Jun
mirage15–15-0.056%27 May
cache8–13-0.0819%13 May
ancient9–13-0.0111%13 May
cache13–60.0010%9 May
mirage7–13-0.0111%6 May
inferno12–160.0214%6 May
cache13–90.0215%3 May
cache13–9-0.039%2 May
inferno7–13-0.0111%29 Apr
overpass13–6-0.0224%29 Apr
nuke14–160.0122%22 Apr
mirage13–6-0.0716%22 Apr
dust215–150.0311%15 Apr
mirage13–110.0311%15 Apr
dust213–100.0518%8 Apr
mirage11–13-0.0113%8 Apr
inferno10–130.0212%8 Apr
dust213–60.0416%1 Apr
dust213–8-0.0414%1 Apr
inferno13–11-0.0011%27 Mar
mirage1–13-0.1013%27 Mar
overpass13–9-0.0218%27 Mar
overpass13–16-0.0216%25 Mar
inferno13–8-0.038%25 Mar
dust213–5-0.0116%24 Mar
dust29–130.0210%20 Mar
mirage8–130.0113%20 Mar
inferno13–16-0.0330%18 Mar
mirage5–13-0.0119%18 Mar
dust213–90.0422%18 Mar
dust211–13-0.0714%15 Mar
nuke13–11-0.029%9 Mar
mirage13–5-0.0215%9 Mar
anubis15–15-0.0414%9 Mar
mirage13–70.0314%9 Mar
dust213–5-0.0111%9 Mar
nuke15–15-0.0317%9 Mar
dust28–13-0.0615%9 Mar
overpass13–6-0.0024%9 Mar
mirage13–90.029%9 Mar
inferno16–130.0720%7 Mar
nuke13–16-0.0110%7 Mar
overpass15–15-0.0613%7 Mar
mirage1–13-0.1112%7 Mar
inferno10–13-0.0217%7 Mar
mirage13–40.0511%7 Mar
dust211–13-0.0016%4 Mar
mirage15–15-0.0823%4 Mar
nuke12–16-0.029%4 Mar
nuke6–13-0.097%25 Feb
dust210–130.0113%25 Feb
mirage5–13-0.0420%25 Feb
overpass13–7-0.0319%21 Feb
inferno13–70.0011%21 Feb
mirage12–16-0.0217%21 Feb
inferno5–13-0.0414%20 Feb
overpass3–11-0.019%20 Feb
mirage13–90.0512%18 Feb
inferno6–13-0.0417%18 Feb
anubis13–80.0214%13 Feb
ancient13–100.0611%13 Feb
nuke13–50.0211%13 Feb
mirage13–10-0.0215%11 Feb
nuke13–40.099%11 Feb
overpass8–13-0.0516%8 Feb
mirage11–13-0.0712%8 Feb
inferno8–130.046%8 Feb
dust213–40.0317%6 Feb
mirage9–13-0.0815%6 Feb
dust28–13-0.0514%30 Jan
overpass13–60.039%30 Jan
inferno6–13-0.0613%30 Jan
anubis13–90.0410%30 Jan
nuke13–40.0113%28 Jan
ancient13–0-0.009%28 Jan
inferno13–100.0516%28 Jan
inferno11–13-0.018%16 Jan
mirage11–13-0.0212%9 Jan
train2–13-0.0313%9 Jan
inferno5–130.019%9 Jan
mirage6–13-0.0224%1 Jan
mirage13–60.0310%30 Nov
inferno14–160.0110%30 Nov
inferno8–13-0.0716%30 Nov
inferno5–130.0610%29 Nov
train4–13-0.0214%29 Nov
dust29–13-0.0319%29 Nov
nuke3–13-0.019%29 Nov
nuke10–13-0.017%28 Nov
dust211–130.0113%28 Nov
mirage13–6-0.0613%26 Nov
overpass5–13-0.0614%26 Nov
mirage16–120.007%26 Nov
dust25–13-0.055%26 Nov
overpass16–140.0714%23 Nov
mirage16–13-0.0412%19 Nov
overpass13–7-0.008%19 Nov
dust213–3-0.096%17 Nov
dust212–16-0.0320%14 Sept

Match data via Leetify.

Recent teammates

Milestones

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