Rekale

Rekale — CS2 Stats

76561198350845595[U:1:390579867]Steam profile ↗✓ No bans

884Tracked matches59%Win rate2020Tracked since
CSDB Rating6.5 SolidSupport
Premier CS Rating19,999Top 50% of 204,412 CSDB-tracked playersPurple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#82242 of 251483 tracked
FaceitLevel 6 · 1,037 ELOTop 54.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (yesterday). 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: 19,999 +3,515 8 Mar – 13 Oct · 32 days played
16,21520,845peak 20,8458 Mar13 Oct
20,845Peak Premier in tracked matches
1,037Highest Faceit ELO seen on CSDB
46Days played since 2026-03-08

Faceit ELO

  • At peak — 1,037
  • Next: Level 5 at 1,051 — 14 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-08-29
  • Level 3 first seen 2026-08-29

Premier CS Rating

  • 846 below peak (20,845)
  • Next: Pink band at 20,000 — 1 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-29
  • Blue band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGRekaleFACEITLevel 6 · 1,037 ELOSTANDINGTop 54.0% of rankedPREMIER19,999 · Purple bandPEAK ELO1,037csdb.gg/stats

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Performance scores

Aim82
Positioning53
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateWWWLLLWLLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −4.9pp headshot accuracy · +21ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 542ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 541ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 531ms

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 (+0.9 against its own average).

Aim8.2
Utility5.4
Positioning5.3
Opening Duels3.6
Clutch3.6

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

device

Plays most like device 98% 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 →

CSDB Rating breakdown

Aim8.2
Positioning5.3
Utility5.4
Mechanics6.7
Opening Duels4.1
Win Impact7.9

Composite 6.5/10 (Solid), 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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time540ms−144ms
first ⅓ avg 683ms → last ⅓ avg 540ms
Headshot accuracy22.3%−1.5%
first ⅓ avg 23.8% → last ⅓ avg 22.3%

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.

Personal bests

0.12Best match rating · 13–3 · office, 27 Sept →
50%Best headshot accuracy · 6–8 · rush_001, 30 Sept →
344msFastest reaction time · 6–8 · rush_001, 30 Sept →
13–1Biggest win · dust2, 15 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
11–6In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 62% over 21infernoWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
mirageA2113–862%-0.02
anubisA159–660%-0.02
infernoC145–936%-0.03
dust2B126–650%-0.02
nukeC125–742%-0.03
cacheC104–640%-0.00
ancientA53–260%-0.02
office—41–325%0.01
rush_001—10–10%-0.14
shelter—10–10%-0.04
vertigo—11–0100%-0.01
train—11–0100%-0.03
eldorado—10–10%-0.17
poseidon—11–0100%0.05
debris—10–10%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

201Matches
55%Win rate
0.77Avg K/D
65.7ADR
47%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3656%0.8512.1
Inferno1547%0.7211.7
Anubis1573%0.9514.5
Ancient1070%0.7512.4
Dust2850%1.1814.8
Cache875%0.8711.8
Nuke475%0.8813.0
Vertigo250%0.8218.5

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.

21.8%Headshot accuracy
34.1%Accuracy (enemy spotted)
41.7%Spray accuracy
80.2%Counter-strafing
8.7°Preaim
542msReaction time
45.1%T opening success
48.1%CT opening success
0.64Enemies flashed / flash
11.7%Flash assists
9.20HE damage / grenade
3.88Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.8837 — below the 4 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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–80.039%13 Oct →
mirage16–14-0.0312%13 Oct →
mirage13–10-0.0418%2 Oct →
rush_0016–8-0.1450%30 Sept →
anubis12–16-0.039%30 Sept →
ancient2–13-0.136%30 Sept →
inferno16–120.0314%29 Sept →
dust24–13-0.0121%29 Sept →
shelter8–13-0.0427%27 Sept →
office13–30.1226%27 Sept →
inferno13–6-0.0324%23 Sept →
anubis16–14-0.0124%23 Sept →
dust28–13-0.0216%23 Sept →
inferno8–13-0.0418%23 Sept →
cache11–130.0138%21 Sept →
dust213–10.0622%15 Sept →
vertigo19–15-0.0136%13 Sept →
office5–13-0.1022%2 Sept →
office12–12-0.0516%1 Sept →
nuke8–130.0326%1 Sept →
cache13–10-0.0323%1 Sept →
anubis3–13-0.0622%31 Aug →
ancient16–140.0027%31 Aug →
dust213–5-0.0133%31 Aug →
mirage13–70.0317%31 Aug →
inferno3–13-0.1113%31 Aug →
cache13–90.0235%31 Aug →
anubis13–100.0020%30 Aug →
train13–11-0.0313%30 Aug →
anubis10–13-0.0734%30 Aug →
mirage13–9-0.0329%30 Aug →
cache9–130.0825%30 Aug →
eldorado3–9-0.1713%26 Aug →
poseidon9–70.0529%26 Aug →
debris8–8-0.0226%25 Aug →
office3–130.0737%24 Aug →
cache8–13-0.1028%24 Aug →
mirage13–8-0.0311%24 Aug →
anubis13–110.0412%14 Aug →
dust213–4-0.0121%14 Aug →
cache13–90.0332%14 Aug →
mirage6–13-0.0813%9 Aug →
nuke13–90.0238%9 Aug →
cache13–70.0341%9 Aug →
inferno13–8-0.0519%5 Aug →
dust210–130.0133%5 Aug →
mirage13–60.0218%5 Aug →
cache4–13-0.0224%4 Aug →
anubis13–6-0.0227%4 Aug →
mirage13–160.0525%4 Aug →
anubis13–9-0.049%3 Aug →
mirage13–6-0.0517%3 Aug →
nuke13–70.0526%3 Aug →
nuke4–13-0.0712%3 Aug →
nuke6–13-0.0617%28 Jul →
cache8–13-0.0722%29 Apr →
cache8–130.0325%29 Apr →
anubis13–10-0.0612%27 Apr →
nuke13–70.0322%27 Apr →
nuke13–110.0015%27 Apr →
dust213–90.0113%24 Apr →
mirage7–13-0.0222%24 Apr →
mirage13–16-0.0120%22 Apr →
mirage1–13-0.1028%21 Apr →
anubis13–11-0.0327%20 Apr →
nuke13–16-0.0916%18 Apr →
mirage11–130.0314%18 Apr →
anubis13–10.0420%17 Apr →
anubis11–13-0.0726%14 Apr →
inferno8–13-0.0235%11 Apr →
mirage11–13-0.0423%8 Apr →
inferno5–13-0.0235%8 Apr →
dust213–110.0729%8 Apr →
inferno13–90.0134%26 Mar →
anubis13–60.0021%26 Mar →
dust29–13-0.0913%26 Mar →
nuke13–3-0.057%24 Mar →
inferno3–9-0.1027%24 Mar →
anubis6–13-0.0619%23 Mar →
mirage13–10-0.0724%23 Mar →
anubis10–130.0010%22 Mar →
inferno5–13-0.0815%21 Mar →
dust25–13-0.0526%21 Mar →
mirage13–9-0.0933%20 Mar →
dust213–11-0.107%20 Mar →
inferno5–13-0.0215%20 Mar →
mirage11–13-0.0638%18 Mar →
inferno13–20.0520%17 Mar →
mirage13–70.0618%17 Mar →
mirage13–10.1036%16 Mar →
mirage13–30.0313%14 Mar →
mirage13–11-0.0621%14 Mar →
dust27–13-0.0726%14 Mar →
nuke8–13-0.0622%14 Mar →
nuke15–15-0.0744%11 Mar →
ancient15–15-0.0331%11 Mar →
ancient13–80.0022%11 Mar →
nuke0–13-0.0925%11 Mar →
inferno9–13-0.0314%9 Mar →
inferno8–130.0033%8 Mar →

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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