rac

rac — CS2 Stats

PT76561198420620921[U:1:460355193]Steam profile ↗✓ No bans

679Tracked matches45%Win rate2022Tracked since
862Hours in CS7Hrs last 2 wks
CSDB Rating4.0 DevelopingPositional Player
WingmanMaster Guardian II
Ladder ranks via Leetify

Performance scores

Aim39
Positioning54
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY43–41–16Last 10043%Win rateTWLLLWLLWW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −1.4pp headshot accuracy · +78ms 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

  • 1–3–1 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 558ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 13%
  • Avg reaction 578ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 539ms

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 (+1.1 against its own average).

Aim3.9
Utility3.9
Positioning5.4
Opening Duels3.5

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 79% 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

Areas to improve

Reaction time. 575ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim3.9
Positioning5.4
Utility3.9
Mechanics3.1
Opening Duels3.6
Win Impact3.3

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 rating0.02+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time528ms−87ms
first ⅓ avg 615ms → last ⅓ avg 528ms
Headshot accuracy13.2%−2.4%
first ⅓ avg 15.6% → last ⅓ avg 13.2%

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

0.21Best match rating · 9–3 · vertigo, 16 Sept →
60%Best headshot accuracy · 1–9 · inferno, 27 Jul →
367msFastest reaction time · 9–3 · vertigo, 16 Sept →
13–3Biggest win · office, 18 Jul →

Across the last 100 tracked matches.

Highlights

3Longest win streak
9–5In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 53% over 58vertigoWeakest map · 29% over 24
MapGradePlayedRecordWin rateAvg rating
infernoB5831–2753%0.03
vertigoD247–1729%-0.00
officeD93–633%0.02
nuke—41–325%0.01
cache—11–0100%-0.01
dust2—10–10%0.07
rush_001—10–10%-0.06
overpass—10–10%0.01
poseidon—10–10%-0.10

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (29% over 24). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

28,265Lifetime kills
1.02K/D · Top 50% of tracked players
1,915Matches
38.7%Match win rate
40.6%Headshot %
2.0%Shot accuracy
4,398MVPs
449Hours (in match)
655Bombs planted
348Bombs defused

Most-used weapons

Lifetime map wins

2,782office
1,254inferno
1,239nuke
1,071vertigo
937dust2
423italy
266lake
131train

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

17.0%Headshot accuracy
28.5%Accuracy (enemy spotted)
30.7%Spray accuracy
64.1%Counter-strafing
11.1°Preaim
575msReaction time
38.0%T opening success
51.2%CT opening success
0.38Enemies flashed / flash
0.7%Flash assists
10.32HE damage / grenade
4.40Flashes / 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. 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 0.3832 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 37.9509% — below the 40% mark we flag

Spend your practice time on Vertigo

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 24 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–80.0416%6 Nov →
office13–80.0629%5 Nov →
office7–13-0.0212%5 Nov →
vertigo6–90.019%4 Nov →
office5–13-0.033%1 Nov →
cache13–11-0.018%1 Nov →
nuke3–13-0.058%1 Nov →
dust24–130.0714%1 Nov →
inferno9–50.1918%1 Nov →
inferno9–50.0713%31 Oct →
vertigo5–9-0.0515%31 Oct →
rush_0011–5-0.0619%10 Oct →
vertigo8–80.0315%23 Sept →
vertigo9–40.1926%23 Sept →
inferno9–7-0.024%23 Sept →
inferno7–9-0.009%16 Sept →
inferno6–9-0.038%16 Sept →
vertigo4–9-0.088%16 Sept →
vertigo9–30.2123%16 Sept →
inferno9–30.1217%16 Sept →
inferno5–90.0023%16 Sept →
inferno7–90.119%16 Sept →
inferno6–90.0213%16 Sept →
inferno9–60.0926%16 Sept →
inferno1–9-0.230%16 Sept →
inferno9–5-0.0811%14 Sept →
inferno6–9-0.119%14 Sept →
inferno9–30.1218%14 Sept →
vertigo9–70.0311%14 Sept →
inferno9–60.109%14 Sept →
vertigo8–80.1017%14 Sept →
vertigo9–50.0411%5 Sept →
inferno7–9-0.096%5 Sept →
inferno8–8-0.0815%5 Sept →
inferno9–70.0319%5 Sept →
inferno8–8-0.0016%30 Aug →
vertigo9–40.0313%30 Aug →
inferno8–80.1230%30 Aug →
inferno2–9-0.1119%30 Aug →
inferno9–70.119%30 Aug →
vertigo5–90.0224%25 Aug →
inferno9–20.1817%25 Aug →
inferno8–80.0617%25 Aug →
inferno5–9-0.0314%25 Aug →
vertigo6–90.0118%25 Aug →
inferno9–30.033%25 Aug →
vertigo2–9-0.0932%25 Aug →
office13–7-0.0130%18 Aug →
office8–13-0.016%18 Aug →
inferno6–90.0415%8 Aug →
inferno5–90.0518%27 Jul →
inferno1–9-0.2460%27 Jul →
vertigo5–9-0.194%27 Jul →
office11–13-0.0020%22 Jul →
office4–11-0.0123%21 Jul →
inferno9–40.0911%19 Jul →
office12–120.1313%18 Jul →
office13–30.0714%18 Jul →
inferno9–40.1425%17 Jul →
inferno9–30.1037%17 Jul →
vertigo8–8-0.046%17 Jul →
vertigo8–80.0512%17 Jul →
vertigo8–8-0.0324%17 Jul →
inferno9–30.095%17 Jul →
inferno9–70.0324%17 Jul →
inferno4–90.0021%5 Jul →
inferno9–60.1322%14 Jun →
inferno3–9-0.0743%14 Jun →
vertigo8–80.0111%14 Jun →
inferno9–30.025%14 Jun →
inferno2–9-0.0714%14 Jun →
inferno9–60.0413%13 Jun →
vertigo5–90.0526%13 Jun →
inferno8–80.0010%11 Jun →
inferno9–20.1017%11 Jun →
inferno9–50.1818%11 Jun →
inferno5–9-0.1015%11 Jun →
inferno9–30.1013%11 Jun →
inferno9–60.018%11 Jun →
inferno4–90.0019%16 May →
inferno8–80.0514%16 May →
inferno9–60.0317%16 May →
overpass8–80.0117%16 May →
vertigo3–9-0.2210%16 May →
nuke4–90.0310%24 Apr →
inferno9–60.0115%24 Apr →
inferno9–40.1114%24 Apr →
inferno9–60.0928%24 Apr →
nuke4–9-0.0310%24 Apr →
poseidon1–9-0.1029%24 Apr →
nuke9–50.0619%24 Apr →
inferno8–8-0.059%24 Apr →
inferno9–7-0.007%24 Apr →
inferno9–70.0425%24 Apr →
inferno7–9-0.0414%24 Apr →
inferno9–70.1113%24 Apr →
vertigo6–9-0.1013%24 Apr →
vertigo9–20.0016%24 Apr →
vertigo3–9-0.0710%24 Apr →
vertigo9–50.0514%20 Apr →

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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