NahkaRepale

NahkaRepale — CS2 Stats

FI76561198002547653[U:1:42281925]Steam profile ↗✓ No bans

589Tracked matches40%Win rate2021Tracked since
884Hours in CS8Hrs last 2 wks
CSDB Rating6.0 SolidPositional Player
Premier CS Rating12,314Blue band · top ~42.6% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (2 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: 12,314 +2,113 31 Aug – 2 Nov · 43 days played
10,20114,306peak 14,30631 Aug2 Nov
14,999Peak Premier in tracked matches
42Days played since 2026-08-31

Premier CS Rating

  • 1,992 below peak (14,306)
  • -1,109 over 30 days · declining
  • Next: Purple band at 15,000 — 2,686 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-31
  • Light Blue band first seen 2026-08-31

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

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate47.0%42.0%44.4%above
Shot accuracy9.3%9.6%11.9%2.6% short
Kill/death ratio0.920.981.030.11 short
Match win rate41.9%43.8%45.2%3.4% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNahkaRepalePREMIER12,314 · Blue bandcsdb.gg/stats

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Performance scores

Aim87
Positioning56
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateWWLLLLWWLW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · +9.3pp headshot accuracy · +8ms reaction

Win rate up 30pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 531ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 548ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 544ms

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 against its own average).

Aim8.7
Utility4.8
Positioning5.6
Opening Duels4.2
Clutch3.6

Sharp aimer

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

sh1ro

Plays most like sh1ro 93% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.7
Positioning5.6
Utility4.8
Mechanics7.6
Opening Duels5.3
Win Impact1.7

Composite 6.0/10 (Solid), 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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time531ms−57ms
first ⅓ avg 587ms → last ⅓ avg 531ms
Headshot accuracy20.3%−0.6%
first ⅓ avg 20.8% → last ⅓ avg 20.3%

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

0.16Best match rating · 13–1 · ancient, 21 Sept →
60%Best headshot accuracy · 4–4 · ancient, 12 Sept →
383msFastest reaction time · 13–8 · anubis, 2 Nov →
13–1Biggest win · cache, 2 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
7–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 70% over 10ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
nukeB2614–1254%0.00
dust2C177–1041%0.00
mirageC145–936%-0.01
anubisA117–464%0.02
ancientD113–827%-0.01
cacheS107–370%0.02
infernoC104–640%0.00
vertigo—10–10%-0.13

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,520Lifetime kills
0.92K/D
1,221Matches
41.9%Match win rate
47.0%Headshot % · Top 50% of Blue band
9.3%Shot accuracy
2,357MVPs
434Hours (in match)
765Bombs planted
204Bombs defused

Most-used weapons

Lifetime map wins

2,951nuke
1,552dust2
1,465inferno
699cbble
130train
123vertigo
99italy
43dust

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

Faceit stats

Combat

48Matches
35%Win rate
0.81Avg K/D
77.8ADR
44%Headshot %

Clutches & streaks

38%1v1 clutch win
29%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust2650%1.3620.2
Ancient617%0.8013.0
Nuke540%0.9414.4
Anubis425%0.9216.0
Cache450%1.0414.3
Inferno10%0.538.0

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.

20.9%Headshot accuracy
37.4%Accuracy (enemy spotted)
37.7%Spray accuracy
84.0%Counter-strafing
7.8°Preaim
538msReaction time
55.1%T opening success
46.9%CT opening success
0.43Enemies flashed / flash
7.8%Flash assists
8.20HE damage / grenade
5.36Flashes / 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 0.4341 — below the 0.5 mark we flag

    Grenade Lineups →
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 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–80.0319%2 Nov →
dust213–9-0.0323%1 Nov →
ancient7–13-0.0628%29 Oct →
mirage8–13-0.0324%28 Oct →
dust28–130.0431%27 Oct →
nuke7–13-0.0710%25 Oct →
cache13–90.0137%25 Oct →
nuke13–40.0138%22 Oct →
anubis2–13-0.059%17 Oct →
nuke13–11-0.0429%16 Oct →
inferno9–13-0.0521%16 Oct →
anubis13–110.0615%16 Oct →
dust22–9-0.0313%16 Oct →
dust27–130.0220%15 Oct →
ancient11–13-0.0224%15 Oct →
vertigo7–9-0.138%12 Oct →
mirage8–13-0.0817%12 Oct →
anubis13–30.0315%12 Oct →
dust25–13-0.049%12 Oct →
nuke12–16-0.0214%11 Oct →
cache13–60.0317%11 Oct →
ancient5–13-0.039%11 Oct →
mirage13–9-0.0115%10 Oct →
inferno13–6-0.0121%9 Oct →
nuke10–10.0719%9 Oct →
nuke10–130.0334%9 Oct →
dust20–50.0420%9 Oct →
mirage7–13-0.0118%9 Oct →
inferno9–130.0018%9 Oct →
nuke9–13-0.0426%8 Oct →
cache13–60.0723%7 Oct →
nuke13–6-0.0129%7 Oct →
anubis11–13-0.0718%6 Oct →
nuke7–13-0.0017%6 Oct →
dust213–11-0.0416%4 Oct →
ancient8–13-0.0618%4 Oct →
mirage12–4-0.0814%3 Oct →
cache13–1-0.0611%2 Oct →
nuke13–10.0617%2 Oct →
inferno13–90.0917%2 Oct →
mirage4–13-0.0414%2 Oct →
mirage8–13-0.0115%1 Oct →
cache13–9-0.0332%30 Sept →
inferno6–13-0.0721%30 Sept →
cache7–130.0043%29 Sept →
nuke13–40.1041%29 Sept →
dust213–60.1338%28 Sept →
dust29–13-0.0515%27 Sept →
dust215–15-0.0416%27 Sept →
ancient13–30.0723%27 Sept →
cache13–70.0926%27 Sept →
anubis13–20.0419%27 Sept →
dust25–13-0.0234%27 Sept →
anubis13–50.1016%25 Sept →
nuke13–40.0132%25 Sept →
nuke7–130.0119%25 Sept →
anubis13–70.1213%23 Sept →
mirage11–130.0719%23 Sept →
nuke8–130.0320%22 Sept →
ancient13–10.1627%21 Sept →
dust23–130.0119%21 Sept →
cache15–150.0933%20 Sept →
dust213–6-0.079%19 Sept →
inferno8–13-0.0431%18 Sept →
nuke9–40.0523%18 Sept →
anubis13–4-0.0036%18 Sept →
nuke13–11-0.0221%18 Sept →
anubis9–130.0123%17 Sept →
inferno6–13-0.0315%17 Sept →
nuke12–12-0.0115%16 Sept →
dust213–11-0.0316%16 Sept →
nuke12–12-0.0425%16 Sept →
nuke2–13-0.0835%16 Sept →
cache3–13-0.0132%15 Sept →
ancient10–13-0.0116%14 Sept →
nuke13–9-0.0521%14 Sept →
ancient7–13-0.0313%14 Sept →
inferno8–13-0.0113%14 Sept →
anubis14–16-0.0014%13 Sept →
dust212–16-0.0215%13 Sept →
nuke9–2-0.0313%13 Sept →
mirage9–130.0114%13 Sept →
ancient11–13-0.0431%12 Sept →
mirage7–13-0.057%12 Sept →
nuke13–70.0425%12 Sept →
nuke13–70.0920%12 Sept →
ancient4–4-0.0660%12 Sept →
mirage13–7-0.0218%12 Sept →
ancient7–13-0.017%12 Sept →
nuke13–7-0.0426%11 Sept →
nuke6–130.0014%11 Sept →
inferno13–80.0818%11 Sept →
nuke12–120.0024%11 Sept →
mirage13–90.0519%10 Sept →
cache13–90.0111%10 Sept →
dust213–80.0533%10 Sept →
dust213–110.0926%9 Sept →
inferno13–80.0825%9 Sept →
mirage13–16-0.0422%9 Sept →
mirage13–40.0720%8 Sept →

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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