Clovis

Clovis — CS2 Stats

76561198927232994[U:1:966967266]Steam profile ↗✓ No bans

452Tracked matches57%Win rate2020Tracked since
3,398Hours in CS38Hrs last 2 wks
CSDB Rating6.2 SolidSupport
Premier CS Rating22,427Top 25% of 204,219 CSDB-tracked playersPink band · top ~5.8% of ranked players (population est.)
CSDB Leaderboard#49009 of 251317 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 22,427 → 22,427
+31Tracked matches · now 452
+4.9ppWin rate · 51.7% → 56.7%

Rating over time

Premier CS Rating: 22,427 +4,583 15 Mar – 23 Sept · 5 days played
17,52722,427peak 22,42715 Mar23 Sept
22,550Peak Premier in tracked matches
38Days played since 2026-01-25

Premier CS Rating

  • At peak — 22,427
  • Next: Red band at 25,000 — 2,573 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-23
  • Purple band first seen 2026-09-23

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 Level 4 among CSDB-tracked players (n=13,998), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate45.1%42.7%43.7%above
Shot accuracy19.7%11.3%12.0%above
Kill/death ratio0.760.991.020.26 short
Match win rate45.2%43.9%44.7%meets

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGClovisFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER22,427 · Pink bandcsdb.gg/stats

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Performance scores

Aim74
Positioning42
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateWLWLLLWLWL

Last 10 vs previous 10: −50pp win rate · −0.01 avg rating · −5.1pp headshot accuracy · −115ms reaction

Win rate down 50pp 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 -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 539ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 18%
  • Avg reaction 550ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 21%
  • Avg reaction 607ms

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 (+2.2 against its own average).

Aim7.4
Utility5.5
Positioning4.2
Opening Duels0.2

Strong CT-side opener

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

Twistzz

Plays most like Twistzz 87% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; lower opening-duel success.

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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

Reaction time. 587ms 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

Aim7.4
Positioning4.2
Utility5.5
Mechanics8.1
Opening Duels2.9
Win Impact7.2

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time604ms−72ms
first ⅓ avg 676ms → last ⅓ avg 604ms
Headshot accuracy19.7%+2.6%
first ⅓ avg 17.1% → last ⅓ avg 19.7%

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 · 11–13 · mirage, 20 May →
100%Best headshot accuracy · 13–8 · mirage, 4 Oct →
469msFastest reaction time · 13–8 · anubis, 11 Oct →
13–0Biggest win · ancient, 30 Jan →

Across the last 100 tracked matches.

Highlights

9Longest win streak
10–10In matches decided by ≤2 rounds
13Overtime games

Map breakdown

mirageBest map · 63% over 27anubisWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
dust2C2812–1643%-0.03
mirageA2717–1063%-0.02
anubisD134–931%-0.03
ancientC125–742%-0.02
infernoB63–350%-0.03
cache—42–250%-0.00
nuke—33–0100%-0.01
overpass—30–30%-0.05
vertigo—31–233%-0.03
office—11–0100%-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

81,849Lifetime kills
0.76K/D
3,686Matches
45.2%Match win rate · Top 50% of Level 4 players
45.1%Headshot % · Top 50% of Level 4 players
19.7%Shot accuracy · Top 5% of Level 4 players
7,936MVPs
2,787Hours (in match)
3,285Bombs planted
894Bombs defused

Most-used weapons

AK-4722,902
AWP10,176
FAMAS2,302
MP91,558
MAC-101,495

Lifetime map wins

2,822dust2
2,508vertigo
1,784inferno
1,351nuke
659train
189cbble
74office
26lake

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

Faceit stats

Combat

54Matches
48%Win rate
0.70Avg K/D
—ADR
39%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2100%1.6017.0
Ancient10%0.406.0
Nuke10%0.436.0

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.

18.4%Headshot accuracy
34.9%Accuracy (enemy spotted)
40.3%Spray accuracy
86.5%Counter-strafing
10.9°Preaim
587msReaction time
45.1%T opening success
38.4%CT opening success
0.58Enemies flashed / flash
5.6%Flash assists
8.73HE damage / grenade
9.15Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.3948% — below the 40% mark we flag

Spend your practice time on Anubis

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–7-0.059%11 Oct →
ancient12–16-0.0021%11 Oct →
anubis13–8-0.0318%11 Oct →
dust210–13-0.0615%9 Oct →
inferno2–13-0.057%8 Oct →
dust210–13-0.0929%8 Oct →
dust216–14-0.0416%7 Oct →
dust29–13-0.0523%7 Oct →
mirage16–14-0.0517%7 Oct →
inferno6–13-0.0724%6 Oct →
mirage16–14-0.0618%4 Oct →
dust213–90.0017%4 Oct →
inferno13–5-0.0714%4 Oct →
mirage13–5-0.0514%4 Oct →
dust216–14-0.0514%4 Oct →
mirage13–8-0.007%4 Oct →
mirage13–80.00100%4 Oct →
dust27–13-0.0514%4 Oct →
mirage16–14-0.0212%4 Oct →
dust213–11-0.0622%3 Oct →
mirage7–13-0.0611%3 Oct →
dust28–130.0123%3 Oct →
mirage19–17-0.0429%3 Oct →
dust26–13-0.0022%3 Oct →
mirage16–14-0.0323%1 Oct →
dust211–13-0.0126%30 Sept →
mirage13–9-0.069%30 Sept →
mirage8–13-0.0625%27 Sept →
office13–7-0.0020%23 Sept →
cache7–13-0.0215%23 Sept →
mirage13–9-0.0911%23 Sept →
ancient9–13-0.039%18 Sept →
mirage6–13-0.0518%18 Sept →
mirage14–16-0.0216%13 Sept →
mirage13–9-0.0222%8 Sept →
inferno13–90.0821%8 Sept →
anubis9–13-0.0426%8 Sept →
nuke14–12-0.0917%8 Sept →
mirage13–40.0016%8 Sept →
dust27–13-0.0918%8 Sept →
ancient13–70.0513%8 Sept →
cache9–130.0316%7 Sept →
anubis12–16-0.0412%7 Sept →
dust213–80.0218%7 Sept →
cache13–10-0.0527%5 Sept →
ancient13–7-0.083%5 Sept →
dust213–50.019%5 Sept →
mirage10–13-0.0812%5 Sept →
anubis15–15-0.1017%4 Sept →
mirage11–130.1224%20 May →
cache13–90.0229%16 May →
mirage8–13-0.0521%10 Apr →
overpass8–13-0.0125%10 Apr →
dust29–130.0531%10 Apr →
nuke13–80.0411%10 Apr →
dust213–11-0.0325%10 Apr →
mirage10–00.0850%10 Apr →
ancient11–13-0.0611%9 Apr →
vertigo8–13-0.0813%9 Apr →
dust211–13-0.0418%9 Apr →
mirage13–6-0.0119%9 Apr →
vertigo11–13-0.0417%9 Apr →
mirage13–90.0420%7 Apr →
mirage6–13-0.0117%23 Mar →
mirage4–13-0.0629%23 Mar →
overpass6–13-0.0813%22 Mar →
ancient13–50.0120%22 Mar →
dust28–13-0.0514%20 Mar →
vertigo13–30.0521%20 Mar →
dust212–12-0.0314%20 Mar →
anubis7–130.0316%15 Mar →
ancient2–13-0.0610%15 Mar →
dust213–9-0.0311%15 Mar →
dust213–10-0.0519%15 Mar →
ancient11–13-0.0311%12 Mar →
anubis11–13-0.0320%5 Mar →
inferno5–13-0.035%14 Feb →
ancient2–7-0.0750%14 Feb →
overpass8–13-0.0525%14 Feb →
mirage14–160.009%14 Feb →
anubis8–13-0.0524%14 Feb →
nuke13–70.0324%14 Feb →
ancient10–13-0.0317%14 Feb →
anubis8–130.0124%14 Feb →
mirage4–00.020%14 Feb →
dust213–6-0.0132%14 Feb →
ancient13–70.0117%14 Feb →
dust213–8-0.019%14 Feb →
inferno13–9-0.0717%13 Feb →
dust213–3-0.0612%9 Feb →
anubis13–60.0313%6 Feb →
anubis13–9-0.0114%4 Feb →
mirage13–40.0615%3 Feb →
anubis11–13-0.0325%31 Jan →
dust26–13-0.0417%31 Jan →
ancient13–00.018%30 Jan →
dust212–120.0322%30 Jan →
anubis9–13-0.0223%30 Jan →
dust27–13-0.0120%28 Jan →
dust29–13-0.119%25 Jan →

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 →

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